Mastering Data Analysis with R: A Comprehensive Recap of the CEAFSN Short Training Session

Name: R Studio for Scientists Day 1
Uploaded: 2026-01-14T15:23:14.198972+00:00
Channel: RUFORUMNetwork
Description: Summary and key takeaways on Mastering Data Analysis with R: A Comprehensive Recap of the CEAFSN Short Training Session, covering Introduction The virtual
RUFORUMNetwork
Jan 14, 2026
•
5 min read
YouTube video ID: vk-ifCWocsE
Source: YouTube video by RUFORUMNetwork — Watch original video
PDF
Introduction

The virtual workshop opened with a warm welcome from the Center of Excellence in Agricultural Systems and Nutrition (CEAFSN) and its partner, the World Bank‑funded REFORM program. Participants were reminded to stay connected via the Zoom link and the live YouTube stream, and to complete the attendance sheet with a WhatsApp‑compatible contact number for future communications.
Background of the Training Program

Host: CEAFSN, University of ...
Funding: World Bank (REFORM)
Purpose: Build capacity for agri‑food system transformation in Africa through a series of short, non‑academic courses.
Course Schedule (first four weeks):
Data Analysis with R (this week)
Proposal Writing (next week)
Advanced Statistical Experimental Design (following week)
Academic Writing Skills (two weeks later)
Future Offerings: Additional courses will be added after the initial four.
Objectives and Expected Outcomes of the R Training

Equip participants with the ability to download, install, and configure R and RStudio.
Teach data import, manipulation, and export across common formats.
Introduce R Markdown for reproducible reporting (PDF, HTML, PowerPoint).
Demonstrate data‑visualisation techniques for high‑quality graphics.
Provide hands‑on experience with inferential statistics (correlation, regression, categorical analysis, GLMs).
By the end of the session, participants should be able to:
Explain experimental design and survey concepts.
Perform correlation, regression, categorical analysis, and GLMs in R.
Apply R to quantitative and qualitative data from agriculture, health, economics, etc.
Participant Demographics & Pre‑Training Assessment

Gender: Majority male, fewer female participants.
Academic Level: 45% PhD, 35% MSc, 15% BSc, remainder researchers/lecturers.
Geographic Reach: Kenya (782), Mozambique (531), Uganda (473), Nigeria (184), Malawi (127), Benin (107), Tanzania (103), Ethiopia (97), Zimbabwe (91), South Africa (79) plus participants from the USA, UK, Turkey, etc.
Research Stage: 60% were at the data‑analysis phase, followed by concept/proposal development.
Self‑Rated R Knowledge: 45% reported no knowledge, 42% some knowledge, 5% neutral, <10% good, <1% excellent – confirming the need for this introductory course.
Key Expectations (from questionnaire): Data manipulation, visualization, inferential statistics, experimental design, multivariate analysis, and domain‑specific topics such as breeding, molecular and geospatial analysis.
Overview of R and RStudio

R: Open‑source statistical programming language; free to download and use.
RStudio: Integrated Development Environment (IDE) that works with R (R can run without RStudio, but RStudio cannot run without R). It provides:
Console, script editor, environment pane, plots pane, packages pane, help pane, and viewer.
Syntax highlighting, code history, and project management.
Step‑by‑Step Installation Guide

Download R
Go to https://www.r-project.org (or type "download R" in a search engine).
Click Download R → choose the appropriate OS (Windows, macOS, Linux).
For Windows, select R‑4.3.1‑win.exe (latest version at the time of training).
Run the installer and follow the default prompts.
Download RStudio
Visit https://www.rstudio.com/products/rstudio/download/.
Click the Download button under the RStudio Desktop Open‑Source License for your OS.
Run the resulting .exe (or .dmg on macOS) and complete the installation.
Verify Installation
Open RStudio; the console should display the R version (e.g., R version 4.3.1).
If an older R version is detected, update via the same download steps or run in R: r install.packages("installr") library(installr) updateR()
Update RStudio (if needed)
In RStudio, go to Help → Check for Updates and follow the prompts.
Getting Familiar with the RStudio Interface

Four main panes:
Source editor (top‑left) – write scripts (.R files).
Console (bottom‑left) – where commands are executed.
Environment/History (top‑right) – view loaded objects and command history.
Files/Plots/Packages/Help/Viewer (bottom‑right) – manage files, view plots, install/load packages, access help, and view web content.
Creating a new script: File → New File → R Script. Save with a meaningful name (e.g., day1_analysis.R).
Running code: Place the cursor on a line and click Run (or press Ctrl+Enter).
Saving work: Click the disk icon or press Ctrl+S. Unsaved changes are highlighted in red.
Installing and Loading Packages

Common packages introduced:
tidyverse – data manipulation and visualization.
readxl – import Excel files.
dplyr, ggplot2, epidisplay, dplyr, tidyr (sub‑packages of tidyverse).
Installation methods:
Command line: install.packages("tidyverse").
RStudio GUI: Tools → Install Packages….
Batch install: install.packages(c("tidyverse", "readxl", "ggplot2")).
Loading a package: library(tidyverse); repeat for each required package.
Verification: No red error messages in the console after library() indicates successful loading.
Basic R Commands Demonstrated

Using R as a calculator: 2 + 2, 6 * 9 - 4.
Assigning variables: a <- 10 or a = 10.
Simple arithmetic with variables: a + b.
Comments: Prefix with # – ignored by R, useful for notes.
Help system: help("t.test") or ?t.test opens the Help pane with usage, arguments, and examples.
Importing Data from Excel

Prepare the file (e.g., lab2_data.xlsx) in the working folder.
In RStudio: File → Import Dataset → From Excel….
Browse to the file, preview the data, and click Import.
RStudio generates the code, typically: r library(readxl) lab2_data <- read_excel("path/to/lab2_data.xlsx") View(lab2_data)
Verify the import by checking the Environment pane (object name and dimensions).
Homework and Next Steps

By tomorrow:
Ensure R 4.3.1 and the latest RStudio are installed.
Install and load the packages listed in the PDF (at least tidyverse and readxl).
Save a script named day1.R with the installation and library commands.
Before the next session:
Review the PDF that lists additional useful packages (dplyr, ggplot2, epidisplay, etc.).
Practice importing an Excel file and exploring it with View() and basic summary() commands.
Support channels:
Post technical questions in the Q&A chat during live sessions.
Use the recorded YouTube stream and the shared Google Drive folder for reference materials.
Conclusion

The first day of the CEAFSN short‑course series successfully equipped participants with the foundational skills to install R and RStudio, navigate the IDE, manage packages, and perform basic data import and manipulation. With a majority of attendees reporting little to no prior R experience, the hands‑on approach and clear step‑by‑step instructions ensured that everyone left the session ready to continue with more advanced statistical analyses in the upcoming modules.
By mastering the installation, basic commands, and package management in R, participants are now prepared to conduct robust data analyses that will support their research and grant proposals, advancing the broader goal of transforming Africa's agri‑food systems.
Frequently Asked Questions

Who is RUFORUMNetwork on YouTube?

RUFORUMNetwork is a YouTube channel that publishes videos on a range of topics. Browse more summaries from this channel below.
Does this page include the full transcript of the video?

Yes, the full transcript for this video is available on this page. Click 'Show transcript' in the sidebar to read it.
Summarize another video
Full Transcript YouTube

uh
thank you very much
um I don't know if you allowed me to
share three slides
yes go ahead please
okay I think I've shared can you see it
yes kind of the hello person put on a
presentation model Prof
Ile
um yes
okay uh thank you very much
um Everybody participant and thank you
very much particularly to reform
uh our partner in in this indiva of
offering the short training courses
that's going to take place
all these months of August
uh this training is being offered
uh under the center of excellence in
agricult systems and nutrition
University
this Center
um
as a vision
uh divisions to contribute to agri-food
system transformation in Africa
and to achieve that Vision we believe
that we have to do it through capacity
building
and this capacity building will be
academic so we are going to train maps
and PhD but also we are going to do
non-academic training and the current
training that we are going to start
today is part of non-academic training
to support academic and also support a
research in Africa towards agri-food
systems transformation in Africa
uh the center also is going to do the
agriculture system of transformation
through delivering high quality research
outputs in our group Food Systems and
nutrition
in agriculture policy analysis
and agriculture risk management and
climate change
so we believe that by tackling these
issues
um a good food system and nutrition
agriculture policy analysis and
agricultural research management and
climate change will be able to help
Africa or to contribute to Agri food
system transformation in Africa
uh so today we are going to have the art
studio training for scientists
uh all this week
and then next week we'll have a proposal
writing
uh duet before the work after will have
advanced statistical experimental design
and two weeks later we'll have academic
writing skills because we believe that
we're offering these courses will really
help scientists to be able or to Source
money to do that analysis and also to
write papers and present in scientific
audience that's why we are proposing
those course those are first set of
course that they're going to be offered
by descent and collaboration of referral
but more costs will will come after
these four courses that we're going to
provide
uh important issues that we have to do
as a participants
we need to make sure that we feel the
attendance lists that's really important
and also fill the contact number
preferably the number which has a
WhatsApp it will be important because
after this course we'll have the World
Bank which is the funding for this uh
for this Center and the the the training
we will check whether people participate
or not in this training so it's
important you leave you attend the
attendance list your name feel that in
this list put in your name and then put
your contact number that they can use to
contact you if they want to do it so and
if they do that you have to make sure
that you recognize your knowledge that
the training was done by the center of
Excelsior food system and nutrition in
short is CE afsn in collaboration with
reform defunding is World Bank so that's
what I would like to share to introduce
the participant to do streaming uh over
to you uh Dr laurado and Dr Long thank
you very much
uh thank you so much for
the introductory remarks
um yeah at The Forum we are glad to be
part of this meeting
and um I would like to inform that in
this that um since we have a big number
of people attending right now if you
fall out of this training please follow
our YouTube link which is also live such
that you do not lose out from the
training
uh and you can follow us and also give
comments even on YouTube We Shall also
be checking on YouTube to see uh whether
you'll be asking questions from them so
thank you so much
um uh I would like to uh first of all I
want to introduce our facilitators for
today and uh colleagues from Forum
secretaries so uh College from a forum
Secretariat first maybe uh Let Me Maybe
put on my videos not for it well in the
training can see us and then I will ask
all other colleagues from a forum to
introduce themselves we will be working
with uh colleagues in the training and
then our facilitators we introduce
themselves and start the train thank you
thank you very much
um
so you're most welcome
please introduce yourself
please introduce yourself
okay uh can you allow me to put on my
video I'm not able to yes
you are allowed
still not going through okay but that's
okay
and I work at the reform Secretariat as
a technical specialist research and
development
so it's good to have you all here
thank you
okay there I am
thank you very much David I can't open
my camera
yeah thank you very much foreign
Secretariat it's a pleasure to have you
attending this train
but as the Drone said maybe you may be
kicked out for this Zoom link please
make sure you join
the YouTube page so that you can be able
to continue following the training
outside this Zoom link because it has a
limited number of people that can join
okay thank you nice and enjoy your
training session today
uh we have another
one okay
hello everyone
technical specialist Knowledge
Management
and I wish all of you a fruitful meeting
and please enjoy
thank you
next is ivarin
okay uh maybe now we go to the
facilitators we have three facilitators
Dr Helen in America Dr Thomas Odom and
Professor Susan Balaban so we can start
with the Dr Helen namawagi please go
ahead and introduce yourself
hello everyone good afternoon
my name is
a great pleasure that I'm going to do
one of the facilitators and I wish you
the best during the training thank you
hello
yes good afternoon everybody
I'm called Thomas Odon from University
I'll be one of the facilitators during
the five days training I hope you'll
enjoy the training and benefit thank you
professor
foreign
[Music]
thank you very much okay this is Susan
working at maker University
and I'm one of the facilitators I wish
you a successful training it is an
important training when you know data
analysis you normally uh complete on
time because then you would know how to
handle your your data how to manipulate
it and then the rest is just a
discussion and you're done with your
cities or your manuscript or your paper
or anything that you're writing that
analysis is key to research thank you
very much and uh after that our con when
I'm given the opportunity I'm going to
present the objectives of that training
and also the outcomes of the short
questionnaire that we sent you online
thank you very much
uh thank you very much bro so now we
hand it back to you the facilitators to
go ahead with the training thank you
okay thank you very much
I'm going to share something
foreign
foreign
to make sure that we capture all the
participants and their contact details
thank you
this course is called Data analysis
using our programming language and this
is just an overview we are three
facilitators we have Dr Thomas L O dong
myself and Dr Helen namaweje
are the objectives of that training
include to equip participants with the
Knowledge and Skills in downloading are
our studio our packages are installing
them on their computer
uh Knowledge and Skills to import their
data in different formats into R and
Export our data into other statistical
programs
manipulate their Data before doing any
analysis using interactive commands
since our supports Matrix arithmetic and
data structures such as vectors
data frames it is same
to equip students with Knowledge and
Skills of using our markdown where they
can store the different R commands write
R scripts and afterwards convert the r
markdown document into a PDF
HTML HTML what document and PowerPoint
learn different efficient techniques
used in data visualization applied in
our programming language that they can
relate to their data set as well as
being able to produce Publications
and within those Publications we believe
that you'll have quality graphs
and also use them in human scripts
thereafter
we will also equip students or
participants with Knowledge and Skills
of using our programming to analyze data
using inferential statistical tools such
as correlation regression categorical
data analysis and generalized linear
models for this training we will go up
to categorical data analysis but after
that
there will be other trainings covering
other areas of statistics
the expected outcomes according to the
facilitators at the end of the training
participants will be able to explain the
fundamental concepts behind experimental
stroke survey designs and statistical
data analysis apply key statistical
Concepts such as correlation regression
categorical data analysis generalized
linear models using R use our
programming language to describe analyze
modada state of biological or
agricultural systems both quantitative
and qualitative way and it can be
applied into different fields like
economics Health
Etc
now those are the expected outcomes and
also the objectives of that training we
sent out a short questionnaire and I
would like to thank you for the
responses that you sent us we've
analyzed the responses and whatever you
see in the response is a summary of all
the information that you got we got so
if you don't see exactly what you sent
we have put it in in our group like when
you're analyzing qualitative data you
formulate themes and under those themes
then you are able to get which response
falls in the different things
so results of the pre-training
assessment
and before presenting the results the
main objective of the training
assessment was to assess the
participants expected outcome
and making the training a success
so the results indicate that the
expected outcomes of the trainees
include data management using r
data analysis using R data visualization
using R data interpretation
understanding our data packages how to
use and master our Hands-On exercises
yes we are going to do Hands-On
exercises every after session we will
have Hands-On exercises and among all
these uh the most frequent response was
that analysis using R making this
training relevant to the participants
who have registered to for the training
we also found out that they are more
male than female
participants and we also scanned through
the registration list and we found that
the highest proportion are pursuing PhD
followed by master of science in degree
some participants are pursuing Bachelor
of Science and others are researchers
others are lecturers in universities are
in fields of Agriculture plant breeding
agroecology the climate change food
science engineering forestry to mention
but a few
we also found out that among all the
stages of research when you look at the
research process process data analysis
was the commonest stage at which the
participants are
followed by concept and proposal
development
and this again shows that the
participants are ready to learn how to
analyze their data since they are at the
right stage
of training
we also found out that the strength in
our programming
the responses indicate that those who
had no knowledge of are
were highest above around 45
and those are some knowledge
uh it's like 42 percent then those who
are neutral
it's like five percent and then good
knowledge is less than 10 percent and
excellent is less than one percent so
this shows that our training has come at
the right time I don't want to preempt
your evaluation response but at the end
of the training you will let us know
whether the training came at a an
appropriate stage
we scan through the countries that are
registered and found out that Kenya had
the highest number of participants
it had 782 Mozambique had 531
Uganda had 473 Nigeria
184 Malawi 127 Benin 107 Tanzania 103
Ethiopia 97 Zimbabwe 91 South Africa
79. they are all uh other countries that
have less than 70 but have only selected
those with a number above 70. so don't
say that she didn't recognize our
country you all recognize there are
people coming from USA
UK
turkey all those are there I recognize
you and I am happy uh to be with you in
this course or even facilitate
we also also wanted to know what
fat during the training and this is also
a summary of your response and the one
which stood out most was Data
manipulation and visualization different
data analysis methods using our
installation and setting up of R
inferential statistics General it
involves regression it involves design
of experiment and Analysis it also
involves multivariate analysis using R
so those are the topics which came out
common communist but there are other
topics like breeding others want to do
molecular
analysis using our people are talking
about geospatial analysis using R so
these are the commoners that have chosen
out
out of the response so in summary the
highest proportion of participants
indicated that they had no knowledge in
using R and R Studio the commonest
expectation show that the participants
would like to learn are and R studio for
data management
analysis and interpretation most
participants are at a stage of data
analysis making the training being
relevant
thank you very much and in case you want
this output we will put it in the on the
Google Drive we've created a Google
Drive and my colleague Helen
is going to be the next presenter and
she will give you the link to the Google
Drive where I will be posting all the
material that you require and data set
for the next day today we didn't post it
because we are not sure who has who
wanted to attend and who are who didn't
want to attend and the Google Drive
remains open for some time so even if
somebody doesn't uh is not about logon
they can always follow the material
under Google Drive
thank you very much
and in case of any comment you can put
it in the chat but I am so grateful for
your attention
thank you very much uh over to Helen
thank you
um good afternoon once again
what we are going to start with I was
trying to share the Google link I don't
know if you're trying to get it there
only that more people are still posting
you can stop posting and then you pick
the link where you can be able to pick
the materials for today
foreign
okay we are going to get started we are
going to start with data analysis using
our programming language we need to
understand what R is all about then now
we're going to know what is our studio
and we're also going to learn how do we
download R and then our studio and the
moment you have all the programs on our
on our computers we'll go ahead and do
the analysis
okay but we're going since from the
results that uh that we've that you that
we got it showed that most people have
no knowledge of our programming language
so what we are going to do is to follow
step by step such that we don't leave
anyone behind and then now we can move
on on the same pace
okay
so with our programming and then our
studio it's quite important to note that
if you're going to use our programming
you need r at the same time you need our
studio so at this particular point I
would like us to
to share with me within that chat if uh
if anybody or if you have are on your
computers if it's not that case then we
go on online and we do it together we
want to download our software all you
need to do go to the to the URL you can
type in download R it will always bring
you the it will bring a window with the
letters r or you can go to
www.r-project.org
and uh or you can use
crane.rproject.org whatever I'm putting
on the screen we can use that and after
getting R then we're going to go ahead
and download our the r Studio on our on
our computers
I'm going to stop sharing
um
I want to move on to the r r
www.rproject.org i want us to download
our studio together
just bear with me I'm trying to
if you have got internet
and you've seen the the Powerpoints
within the slides the steps are there
okay
the internet seems to be weak
okay
I want to share my screen
and then uh
I'm going to just type in download r
download r
okay
if you're seeing my screen what I'm
having first is download R dash 4.3.1
for Windows since I'm using Windows so
it's what I'm going to download but it
varies from somebody who is using a Mac
then you have to download R for a mark
for a Mac computer
okay so when I come here I'm going to
click download R 4.3.1 is the latest R
version since it's an I don't want to
preempt what R does but I just want us
to first get the software in our
computers and then later we go into
details to understand what is really
about this this R and R Studio that we
are talking about so in case I click on
on on download R
4.3.14 for Windows I'm using Windows
computer so
um it's what I want to download
kindly bear with me the internet looks a
little slow but you can proceed as uh
to support
okay I think the internet is not uh
the internet is not supporting me to
follow through the procedure so what I'm
going to do I'm going to share a PDF
document and then we we can follow it
through together as you that end how to
download
um how to download our
okay
so let me stop sharing that and then I
share the PDF on how to download but
I'll give you time to also try to see if
you have the
if you have if you've been able to
download it on your computer so
downloading R is very simple like I've
mentioned you can just go in your url
here and type in download R okay or you
can go to
www.r
project.org it will always be the the
first one when you click on that this
you're going to have this fast window
the r project for statistical Computing
and it's going to look like this
right now when you reach to this
particular window it has getting started
so on your second line the result will
call it it shows you that to download R
so the step number one we go to the URL
after typing in and click it will bring
for you this particular window so the
next step is going to be download R and
how we're going to download it we click
on line number two to download r that is
going to be
um our second step under the section
getting started on the second line click
download r
okay so when you click that particular
line
then it is going to bring you to this
particular page
okay so when you look on your left we
have what we call all clouds or zero
Cloud so our next step is going to be to
click on on this on this URL https then
Cloud dot R Dash project.org
that is tip number three
when we move down once it's going to
bring for you a page which is download R
for Linux download R4 Mac OS then
download R4 Windows depending on the on
this on the version that you're using
and for me I'll click on download R for
Windows because I'm using Windows on my
computer but in case you're using uh
um a different one if it is Linux then
you download it for that if it is an
apple then you download Mac OS
okay so the moment you click download R
for Windows then what the what the next
page that you're going to see is that uh
um it is going to bring to you to this
particular page which has R for Windows
the next big that you're going to open
so what you now you're going to click on
install R for the first time if your
first time user in case you've been
using R before then you need to update
it site that you use the latest version
which is R3 for R 4.3.1 but if it is it
is your first time to use R now we are
going to click on install R for the
first time
okay the procedures are very easy
provided you've got a stable internet
and after downloading our new computer
you not need you don't need internet to
use it again because you'll have the
software on your computer
okay so the next spec that is going to
open it is going to have R
4.3.1 it is the latest version that we
are going to use and then you click on
download R
4.3.14 Windows if you're using Windows
and after that
the moment you click on the moment you
click on it it is going to start
downloading its extension so you're
going to wait for it for it to have a
complete download of that of the exe and
then after that you follow the procedure
through until when you follow the
different procedures as they will come
until when you have our
um you have the r software on your
computer
let me first check in the charts
um if you've been able to move through
the steps on how to download our
kindly type one and they save you on the
same page
okay
great I'm seeing a big response so let's
follow through together it's like that
now we have r on our computers
okay
all right
so I'm just going to give you
um a second and then I'll ask if you've
been
yes the latest version is 4.3.1 and it's
what we need to download on our
computers if you've got
um if you have a version that is not
4.3.1 then we need to update okay we
need to update that version to the
latest one
so as you're as you're posting please
try to see that you get are on your
computers for those that are downloading
it for the first time somebody is asking
how about updating we are going to get
there let's move step by step said that
uh we have our colleagues on the same
page we are going to look at that
it is
4.3.1 okay when you check on when you go
to internet let me try to see if I'll be
able to get it now if the internet will
allow me
okay
the internet is still slow but please
try to to follow the procedures if
you've gotten the link the Google Drive
link it has a PDF which has the various
steps on how to download our
okay the letters if you're seeing the
screen the letters are version is
4.3.1 so if you have one that it is
below for example
4.1.3 that is that that is an older
version you need to update to the latest
one
R is an open soft is an open software
implying that all you need to do is that
always try to update site that when
you're doing your analysis you're using
a latest version if you're using an old
one you can go ahead and update as well
as updating the different packages
okay let me stop sharing this because
um
let me see if we will allow to inform me
to show the various steps on
from internet
the internet seemed to be slow today but
uh with that one we cannot really do do
much
okay
I'm going to go back and share the PDF
all right can somebody share with me if
you've done if you've done um
downloading R can you type to in the
chats
type 2 in the chat
okay
great
I'm seeing a big number a responding
that they have managed to download are
all right now our next step we are going
to download our studio because we need
we need both R and R Studio how do we go
about it
let's do that after downloading R we are
going to download our studio okay so
step number one as your following so go
to
www.rstudio.com products slash rstudio
slash download or you can still Type
download rstudio
I mean there usually many ways on how to
on how to about something you can just
still Type download our studio
okay so when you get there you need to
scroll down okay on that particular page
the moment it opens and then go where
there is R Studio open source license so
and there is a a blue button which has
download
so it is the one that we are going to
click on and then say we follow the
different prompts
so the moment you click download you
will see a certain page like this what
I'm showing on the screen
if you're looking at at this particular
step critically number one was install R
which are we've done but make sure
you've installed our
4.3.1 now the next thing we are going to
what we're going to do download our
Studio for Windows so when you click
this particular button and uh you wait
for the when the moment that the page
opens also you're going to to download
its extension the one which has a DOT
exe installation file after that you
follow the different procedures to see
that also you install rstudio after
downloading you install
okay
so when you when when you scroll down
again on the same page you find that uh
we've got uh OS we have the windows 10
the Mac OS blab and so on so for those
that are using Windows all you need to
do is to click on the r Studio
installation
um file
the moment it downloads the next
procedure is to install it after after
downloading go ahead and click on the on
the installation file select that you
install it on your computer
okay
so
um
and if you click on the on the
downloaded e dot e x e try to follow the
prompts to install it on your computer
like you did for our studio it's the
same thing that you're going to do like
you did on the r is something that
you're going to do on our studio and the
moment you have both R and R studio and
your computer then we are set to go
um in case you have uh you have a
question feel free to post it in the Q
and A and then my colleagues will be
able to answer and the one that I see
very quickly I also be glad to answer
them
Post in the Q and A
um my colleagues will be answering most
of the questions that you send and then
the ones that uh
um that come when I'm still explaining
I'll be glad to talk about them
finally updates we are the latest
version I've already mentioned it is
4.3.1 and so if you're having R
4.2.2 you need to update and we're going
to look at all those procedures as we
move on let's first wait for the first
time you use this to ensure that they
also have the Pack have the softwares on
their computer
okay
somebody saying that could I repeat the
procedures yes I'm going to go ahead and
repeat everything on how to download and
install R and then how to download and
install our studio
okay
I'm using the PDF that we sent
um that is within the folder within our
Google Drive the Google Drive Link
okay
um so step number one how do we download
our and install r on our computers it is
exercise I want us to do together
but I want you to do it on your computer
as you're following how what I'm
explaining
okay step number one
you can go to you can go to you you can
go to Google and just type in download r
okay
somebody else if you don't want to do
that you can go and type and you can go
away in your URL and type
www dot R Dash project.org
different ways lead us to the same
output
okay that is Step number one
in case you don't in case you you type
download r or you use R Dash project.org
the moment you click on on on that
particular line the first that you're
going to see is going to have the r
project for statistical computing
okay and it is showing you get started
if you're trying to read a little bit
because
um
um this page user is is always updated
the moment a new our version comes up it
is always updated so that's why I'm
advising you to always use the letters
the latest version okay for those of you
have got the oldest version some of the
older versions that you have the other
one how to update is to
um you can go ahead and just download
manually again and install a new
computer that is also another of getting
a new
um the latest version apart from using
the commands that I'll show as we move
on you can download R again manually on
your computer and then have the latest
version
so that was tip number one step number
two when you look at getting started on
line number two there is download R
which is in blue words
so our step number two under the section
getting started on the second line
you're going to click download r
okay
so the moment you click download R it's
going to bring this particular page that
has got crane mirrors
okay so when you look at that page on
your right it has got zero cloud and
below the zero Cloud there is a URL that
we are going to click on and see what is
the next step
all right so on step number three the
moment you click on the cloud.r
project.org what is going to bring you
it's going to show you that
comprehensive R archive Network that is
the page that is going to open
which has download and install r
so that page is also very important
now when you register this particular at
this particular State depending on the
on the kind of computer that you're
using
okay if you are using Windows like me
I'm going to go and click download R for
Windows
if you're using a Mac then it implies
that you're going to click download R4
Mac OS
if you're using Linux then you're going
to to click download R4 liners
okay
all right that is Step number three so
if I'm for my case I'm using Windows so
I'll click download R4 windows
all right
so the next step is going to be
um the peg that you're going to get it
is going to show you are for Windows or
R for Mac depending on the on on the
line that you clicked on
so if you click R for Windows it is
going to bring you
um a page that I'm that I'm showing you
on the screen and the first line which
has the best it shows install R for the
first time
for the first time users you need to
click install R for the first time
all right
so if you click there
if you click install R for the first
time that is our step number five so it
is going to show you a page which has R
4.3.14 windows
and it's where I want you to click
all right the moment the moment you
click download R
4.3.1 for Windows if you have to give it
some time for the installation file to
download and then after that you keep
following the different procedures on
that will come say that you install r on
your computers
okay so this is what we are having the
moment you get an installation file the
other procedures you have to follow them
on your computer
the moment the download is complete go
ahead and execute the downloaded file
with an extension of dot exe follow the
prompts on your screen and you download
r on your computer
okay I'm going to pause
it's like that we on the same page
okay
so that was with
with the r now let's move on how about
downloading our studio because we need
both okay and we're going to see the
um how both are and our studio are
integrated
now let's move on to our next exercise
is how to download and install our
studio
okay you can go to your URL on Google
and type download R Studio
all right the first prompt will give you
the latest version
or
what you can do you can go to the r
Studio website www.rstudio.com
products slash rstudio slash download
slash
we want to download the free R Studio
desktop on our computer
all right
so
okay
um
I'm pausing said that we are able to
give time forever to download it's a
comment that came up
[Music]
well
I'm not seeing them
in case you have your hand up please ask
feel free to ask
foreign
that I've shared on how to as we wait
for other colleagues to download
um for those of you that want to to
update okay you have a an older version
and you want to update it to the latest
one
just open the the r interface the r
Studio
then
um you need to to load the library
install r
and then on the second line you use
update R and then brackets
and I don't want to go into this for now
because uh if I proceed further ahead
our colleagues might get lost which I do
not want
okay
in case you have a concerned please type
it in the Q and A that's that's when
we'll be able to
um to capture it very well you'll be
able to get the response right away type
the type a question or concerned within
that Q and A because if you type it
within the charts before we see it it
will
um we have big numbers and before we see
it this side it will have disappeared so
type it within the Q and A
please kindly repeat the procedure for
updating the older versions of R and R
Studio
okay
I mentioned just past literally you you
you need
the you need to load the library install
R and then the next line you put update
R the update is small letters Aries and
capital and then you have a bracket at
the end
but we're going to see that
is this after proceed yes it will always
carry on the the packages that you'll
keep there will be um they will be
updated but like I mentioned one of the
is another easiest to wear apart from
using the commands if you want to update
our just download a new version on your
computer
okay let me check in the charts
um have you said have you been able to
successfully download R and install it
on your computers type three
for only R not R Studio r
okay
all right
okay thank you now I'm going to ask
another question if you haven't yet
succeeded to download our Type 4
if you have not yet succeeded Type 4
it's still a big number
wow
okay in case you've typed four
kindly type
um a reason why are you failing to
download R in the in the Q and A then
I'll be able to read it and help out
type in the Q and A
CE in the comments
I'm going to share the
I'm sharing the Google link again in the
Q and A
um please pick it and then you'll be
able to get this PDF that has got the
different procedures that you need on
how to on how to install R it has got
how to download R 4.3.1 and install it
on your computer
okay if you already have our installed
already that is very good I'm sharing
the Google link
which which has the materials for today
please pick it and uh
you'll be able to get this particular
PDF I'm sharing and then you follow
through with with everyone
okay
some people already have R and R Studio
that is great both are on our studio
downloaded please share the pdf version
please check in the Google link the
Google Drive Link this procedure is
already there if your your R is 4.3.1
that is the lesson version please
um that you would you're good to go
if you already have our studio installed
a new computer trying to check if it is
a latest version latest version is r
4.3.1
somebody is saying that it's taking time
to download yes it could be due to
internet issues but uh
um since you're going to have the
materials then it will be easy for you
to to try to check how to how to get
started
okay
please share with us the PDF checking
the Google Drive the PDF is there
Eric please update update to 4.3.1 but
during this particular for for example
if you don't want to update for this
particular
um
um lecture we are having or the our
first Dove training you can use the
older one and the moment we are off from
the webinar within your own free time
you can update sector by tomorrow you
have an updated version okay it also be
um also be good
okay
now what I'm going to do
I'm going to go through the procedures
again on how to download and install our
studio
let me check in the chats if the those
typing four have reduced if you haven't
installed are can you type type five if
you don't have our type 5
foreign
[Music]
okay let me try to to share again and
see if internet will support me I wanted
to do it
I wanted to show step by step but
okay
okay
let me let me hope that internet will
allow me we go step by step
all right
now within my Google search I typed in
download r
when I typed download R this is the
window what what you think is a window
that came up
okay and when you come here on the first
one it has got uh the comprehensive R AR
archive Network and it has download R
4.3.1 for Windows
this is the latest version I want us to
use
okay I'm going to click here
what is the problem
the internet cannot support me to
I'm still trying out with the
if this internet can support me site
that I show you the different steps on
how to Deb out States
um
okay
I think also to the internet comes to
support me to to share the procedures on
how they can really
how the participants can download are
still brings me the site can be rich
thank you foreign
[Music]
Firefox season from drink for you yes
yes
[Music]
thank you
hey just give us a moment as we get the
internet sorted out
um
let me know
we went to just go back and explain them
yeah
after when I come here remember
there
that's interesting
I wanted to show the procedures and
explaining how it comes out
but I think it's an internet issue
and Thomas is just working you'll be
sure I'm gonna explain okay
we sincerely apologize for this
inconvenience because of the internet we
are trying to get it solved I know some
of you are saying if the next lecture to
go to but we kindly ask you to be a bit
patient as we get this thing sorted out
but I think also Helen if you fails to
download maybe you can move on and they
can also just try to download on their
own okay okay thank you
let me continue
okay I'm going to go through the the
last on how to download and install our
studio and then later we'll move on
since you have the materials you can
take some time after and go through how
do you download and because the
procedures are all the same the way they
are within the PDF document now let's go
and check how to download and install
our studio like I mentioned you can just
type download our studio okay and you
follow the prompts or you can go to the
website
www.rstudio.com
products Studio slash download
this PDF you have it in the material in
the Google Drive link that we shared
with you today
so in scroll down on that particular
page that comes up then you go and see
where there is our studio desktop open
source license when you scroll down and
then you you'll click on download r
sorry on on the download button
so the moment you click on the download
button it is going to move you to this
second page that I'm showing you step
number two uh when you click download it
will bring you to this particular page
remember we have we have installed R and
now we want to download our studio
desktop so you click on the download R
studio for the windows if you look if
you click on that
um you have to wait for for the
installation file to download the moment
it downloads you follow the prompts okay
it will ask the moment is complete you
have to double click on it and then
start following until when you you you
um you install the extension file so
after that
when you come to to this particular page
it has got our studio.exe
it's what you click you download you
should always bring you the latest
version and then you follow the
different procedures so after
downloading make sure you install we
need you need both R and R studio if
you're going to do um
um data analysis using our programming
language
okay
I'm going to stop sharing this and I go
now and I share
the slides again
okay
all right
now can you type in the chats I'm
suggesting that we continue
can you type in the chat six if you're
set to go
okay
okay
yeah let's continue now
um let's get to know about yes we've
downloaded R and our studio now
computers but what do they really do
especially for those who are first-time
users say that you also develop
interests and you make our so a friendly
program for you that you can use it
during the analysis of your work or your
reports and so on so R is a free
statistical programming language
when I say it is free implying that you
know you don't need to buy this software
it is completely free of charge
okay all you need to do is to have some
some MBS to download it from internet
and then install it on your computer the
moment it's installed the nesters that
you will have to always to always check
if you're having
um the latest version and most of the
time it will prompt you that a newer
version there is a newer version is it
okay if you can download and then you
follow the procedures are can be used by
anyone it doesn't necessarily mean that
you have to be a glue in uh in that
analysis or you have to be a scientist
or an unscientist anyone can use are
it's about
um it's about developing the the
attitude on how you can really use our
programming language you don't need to
be aesthetician to use R anyone can use
R and this can be widely used in data
management statistical analysis and also
producing good graphics like some of you
are saying that you want to know how do
we do data visualization Arkansas
support you to produce nice graphs that
can even be put into your Publications
at the end of that day it's an open
source tool
um for data analysis
foreign
well somebody might ask why are a
non-state a non-sp assist and on python
what about other programming languages
we're saying that well all programs are
good but usually one has an advantage
over the other why are like I said just
along with designing for that analysis
and what it does it you just it's for it
it uses a command language you want me
to understand the command all the codes
that uh you need to use within when
you're doing analysis then it implies
that you'll be able to your your coding
will become as easier each time you do
you have a project
because the codes all the commands that
you write are reproducible implying that
I can code a particular project okay I
write my codes out the moment I
understand what each particular code
does then it implies that I can
reproduce it even to another project
that I'm going to do maybe at a certain
time to depending because all I need to
know well why did I why am I using a why
am I using B and then after that the
moment I get the concept behind why a
certain code is used then I can move on
quickly and use it to other projects
that I'll have
also Aries there's a lot of libraries
okay and we're going to see what these
libraries are yes there are very many of
a million of them but all you need to
know is that uh which Library do I need
to use period you need to have millions
of them installed on your computer all
you need to know that well if I'm going
to perform a certain analysis for
example if I want to do um a regression
analysis what our library do I need to
use
okay
now what about our studio remember we've
downloaded both R and then R Studio what
about our our studio we are going to see
the interface but uh our studio provides
a free and open source tools for r
okay and sometimes it's also referred to
as an integrated development environment
for R and this one is going to make more
sense the moment we start writing out
writing out our quotes because it's
within the Arts to the environment if
that's where we're going to type our
codes be able to save them and then see
the results within the Arts within the r
um the r environment
within the r Studio you're going to see
features like because like the uh the we
shall see the console the syntax
highlighting editor environment
tutorials there is also history that you
can use you know to to read more about R
and then also R Studio provides Futures
to make using R and managing are much
easier like I said when you type in your
commands you can be able to save them
so what is the
distance between that too one might ask
but well can't I just use R only or R
Studio alone so what is the separate
behind R is a programming language like
I mentioned earlier that you can use
when you're going to do your statistical
computation or analysis and our studio
uses the other language to develop
statistical programs
what do I mean here is that uh within R
you can be able to write your program
and run your codes independently but
it's not that case with rstudio r Studio
operates alongside are implying that our
studio implant that R can be used
independent of our studio but it's not
the other way around for you to use our
studio you you need R so our studio may
not be used without R but you can use R
without R Studio but the only challenge
is that the only good part is that when
you use R Studio within R you'll be able
to save your quotes and use them at a at
a later period and you'll be able to do
a lot of things able to refer to your
codes make comments Etc so the main
difference is that you can use R
independently without our studio but it
cannot be the other way around for you
to is our studio you need R you need the
the AL programming language
okay
um Let me let me first pause and ask in
the chat are we on the same page
have we gotten the difference between R
and R Studio y r and Y R Studio why we
need both
if you feel it's not yet clear I
encourage you to post in the Q and A
um said that you get a prompt response
as we move on great
okay
great
so we've already looked at this
particular slide in storing R and R
Studio I'm going to go through this
procedure then in case you're still
lagging a little behind I assume then
you'll be able to
um to fall through
okay
now
we are going um how does the interface
look like
how does the workspace look like for our
and our studio okay most of the time I
encourage you to go on your computer of
course I'm going to show it practically
how do you go about it within the search
button if you've got if you've
successfully installed R and rstudio
just go within your search button down
on your computer and type in Arrow
studio and then click on that app and
see what is going to happen
okay so the moment we open what
interface are you likely to see our
workspace you're going to see four
Windows okay
um just within the four windows that the
first one if you look at the how my
screen looks like up here I've got our
studio and then below the word our
studio I've got file edit code view
upload session build debug profile tools
and help you're going to see what is the
relevancy of all these icons
okay and then
uh below below are the below our studio
this down now window which has the
console the terminal the r markdown and
then jobs here what you're going to
consider today is the console the r
console
what is going to happen is that whatever
we type within the upper window within
the r Studio the results are going to be
executed in the r console I'm going to
demonstrate that and then we also have
on your rights maybe your site is now
the left on my right I've got the
environment we are going to see what
does the environment do most of the time
when we when we get our data into R we
see within the environment if it has
been successfully imported you can see
within history the different things that
you've done within R you can go to
tutorials in case you really want to
learn more
when you look on the right on the on the
fourth window we have got files plots
packages help and then view we are going
to see what do all this particular
um this particular what does package
mean we said our works with packages so
we are going to see what does what does
what what do packages do what about
plots remember we're going to do data
visualization so under plots that is the
window we're going to see your plots
what about the help window the help
window is going to support us in case we
don't understand some of the things that
are give us to ask our because it has
got different it has our documentations
in built within the the the program and
we are able to get help on some of the
things that we might see are not
familiar yet with us so the help window
will help us to do that I'm going to
first post here I close the PowerPoint
then I open the r studio and I check if
you're also on the same page we see how
does it work practically
okay I'm hoping to share that
I want to share
my arms to you
remember going in this touch okay type
in our studio if you type R Studio the
app the app is going to pop up click on
it and then see what opens
all right now
I want to First confirm in the charts
when you when you when you click on um
on the rstudio app do you come up with
this interface like mine hopefully you
come up with something different let me
check in the chat
is it different
okay
for those who are saying that is
different somebody saying that mine has
three
okay
I don't know if
um
not different the same I see the same
um still downloading okay
I don't know if I can have an
opportunity for somebody to share who
has through Windows said that uh we I'm
able to guide the rest
somebody with three Windows to share
then let me stop sharing sites that I
guide from that side
um
could you kindly give somebody one one
participant to write with three Windows
to share and then I can guide them on
how to get a fourth window
and Helen there are a number of hands
which are up so I don't know which one
who is ready to present
I just pick any
yeah just pick any
okay
we can get only one to share there now
we could the rest will will see the
procedure
in case you please share and then uh we
follow through together with the rest
I've seen many people having through
windows we need to want us to see how do
we get foreign
okay
my Korea I hope it's ready
kindly share if you're giving them the
rights and then we learn from you
any participant who is ready to share
please share your screen
it will be better if people could raise
their hands Jacob can share Jacob is
saying that I can share even shouts
could you please praise your hands
[Music]
Jacob to share yeah I'm trying to look
for the name because there are many
names just give me a moment
Jacob
Jacob yeah
[Music]
okay
I have promoted him
he's supposed to accept yeah buddy
he declined Jacob declined
who else
who is ready to share in case you have
through Windows all I need is to see you
it is to see your windows just that I'm
going to explain other procedures so
don't feel shy to really help the rest
in case you have got three windows I
just want you to share and then I
explained the procedures on how to come
up with on how to come up with a fourth
window because I'm seeing most people
within the chat are saying that we are
having only three whatever you're having
doesn't look like mine
sharing
okay
so we are seeing Jordan is screen
and uh what is having there are only
three three windows we are seeing the
one with the r console our
4.3.1 good enough is using the latest
version we've got the environment which
shows that it's empty and then we come
down here where we have the file plots
and so on
so Jordan could you kindly um expand
um the the arc the console could you
prove this middle line
to your rights
could you expand it from that end
where I'm putting the cursor I don't
know if you're seeing it could you pull
it um to expand the the r console
Jordan do you hear me
Jordan what happened
you disappeared
wow
do we have another one yes can we get
somebody else
it is something very simple don't really
shy away could you share
I'm seeing many people yes I've put the
table
is going to join
I'm also saying
what type of can you share
yeah now I think what about testifa can
you share if you're ready we go with
anyone who is ready
okay great now let's use step is
um the windows that he said that she's
having I don't really so she already but
anyway let's continue so what we are
going to do for those that are having
only three through Windows this is what
we are going to do just go and click on
file up here table click on file
Christian hope the rest are following
then come down to new file
continue and click our Scripts
Okay click there great so those are the
now she's having four windows can the
rest do the same
thank you so much that's what I wanted
to demonstrate how we come up with the
four windows so we are going to use this
upper window that's where we're going to
be writing our commands or quotes
whatever term that you want to use and
then whatever we we have there will be
executed in the arrow console okay let
me check in the chats
can you know are you
for those who had only three Windows
have you managed to get the fourth one
type yes
it can share please if you've managed
okay
great
let's continue
okay I'm glad that that has been solved
so what we are going to do from one
table was uh was sharing the moment you
go on to your file okay within the r
Studio you click new file and then on
the new file
um you go to file and then you click our
Scripts
okay
if you click our script it implies that
it's going to open the moment it opens
you're waiting to see a cursor blinking
okay it is asking that okay what is next
what are we going to do you can open as
many script as you can depending on what
you want to do and if you look at uh if
you look at my screen I've got Untitled
one then Untitled two like I mentioned
you can open as many script as you want
which is Within These scripts where we
are going to do all where we're going to
write our commands and then later we're
going to see the results within the r
console
sure
is
which one
boxes here you see those boxes
um
okay
all right there is a coordinate in that
church uh Dr Thomas was until I mean
that what about uh some people having
only one window
so
for for some for uh for those that have
that have such a scenario all you need
to do is to come and play around with
this particular buttons if you're seeing
where I'm putting my my way I'm putting
the finger you can click on that and
then the other one will disappear when
you click it will come back or you can
click on on this other one and then
everything is going to move up
in case you click it again then you're
going to have the four windows
hope it has been sold
okay
I have only windows
no the one with three Windows you served
that one
some people are still say they fill out
through Windows the procedure is go to
file okay go to file new file then our
scripts the moment you click on it
you're going to create a fourth window
foreign
[Music]
someone is putting a comment they only
have one window it implies that you only
opened the r programming language you
only opened our so what you're going to
do open our studio go into the search
button and type in our studio the moment
that the moment you click on it and it
opens up you'll be able you're going to
see R integrated within the r Studio
do not open our alone kindly open our
studio then you'll be able to will be
able to move together
that is the reason why you're only
having
um you only having one one window okay
now let's push on just a little bit
let's get familiar with the different
environments like I mentioned they're
going to be very important as you push
on
all right
um if you're seeing each time you open
an R script it's like a Word document it
is space where you need to write and put
in whatever that you want the various
commas that you're going to use
all right so under the under the file
icon we have the new file we've already
seen that they also there is also a drop
down that you can you can as well go
ahead and read through and see what
happens from under the drop down if you
check that side you can be able to
um
um to save to save us to save all you
can print you can import the data sets
Okay when you click on edit you can also
see a drop down we are you're going to
become more familiar as we push on you
have you can maybe you want to undo you
want to redo you want to paste something
or you want to copy you can get it from
there then uh we have view in case you
want to zoom in or zoom out depending we
have plots okay in case you have a plot
within the plot twin though and you want
to save it you want to save it as an
image you want to save it as a PDF you
want to copy it on a clipboard you want
to remove it everything is under the
plot then we have session so we are
going to say how about that if you want
to create the working directorate if you
want to terminate our everything is
under there
Etc if you want to you can go under help
if you want to check if the Earth is
that you're using is the latest you can
go under help and click up about our
studio and also click about check for
updates we are going to see all that
right then like I mentioned when you
come to the to the downer one which has
the r the r console the latest version
is 4.3.1 whatever whatever we type in
the in the upper window we'll be seeing
our results within the console
we have the environment
um under the environment in case we we
import that right now it is empty but in
case we import that I'll be able to
check within our environment you can
there are also tutorials that you can
read about to get about the data Basics
within our the different data types that
you might also want to learn sometimes
when during the training you might not
be able to gossip everything that's a
goal but in case you go back and and you
sit on your own and you can be able to
use the tutorials and you learn on your
own pests the more you you practice with
with r the more you become familiar with
everything it also has history depending
on now on the previous work that you've
done within our okay so in case you
haven't done anything of course your
history will be empty and then down here
on the the right
um Downer window and that is I'm
referring to my side yours might be the
left we have the files the file window
we have the plots window here whatever
data visualization that we are going to
do we are going to be viewing it from
here we have packages I mentioned I'm
going to talk more about packages in
case there's a certain package you want
to do a certain analysis you can pick it
from here you can install you can update
it then we have what we call the help
window there's something that uh
you know you don't well familiar with
you can ask R it has got an imbued help
documentation that can support you to
understand more on how to use a
particular command or if there's
something that you really need more
knowledge on
etc etc
I'm going to stop here
given that now at least we've seen how
the interface looks like and then we
briefly go back to the Powerpoints and
then we will come back
all right
um
okay
so
um I just want to ask again in the chat
are we on the same page type thumbs up
and then we continue are you on the same
page
okay great
okay
yes
uh-huh yeah so I think we can proceed
okay now to our colleagues who are
really wondering how to update our our
studio remember we are using our latest
version it is
4.3.1 so if you're using anything less
than that it implies that you're using
an older version there are different
ways on how you can update our now I'm
talking I'm I'm just echoing about
people of art but you're using
um older versions different versions not
the latest one so I mentioned already
that the easiest way to update are is to
Simply download the newest version
okay and then you overwrite the what the
old one
that is option number one then option
number two in case you don't want to
download are there are procedures that
you can use they're just they're just
two lines you need to have the installer
r package
okay
because if you if you if if you have got
an older version I believe that you have
some little knowledge about our when I
talk about install packages okay so you
need the install our package
in case you in case you don't have it
you need to install it after installing
it then load it using the library
command Library install R and then on
the third line you all you need to type
there is updates R and then run that
particular line
all right
you only need two lines Library install
R and then updates are remember update
is small letters r is capital letters
and then brackets and then you click the
Run button
okay let me let me um I'm going to stop
sharing and then I go back and I share
my r
okay
so what we are going to do in case you
want to update our okay what
um I mentioned that you need to to to
load the library install r
or in case you don't have it you need to
First install it how do you install a
package we what we we use our Command
which is install
okay install dot packages
okay that is the command that we use
whether it is version what or even in
the next coming version if we are
installing packages you can use install
dot packages of course this is this is
not the only way there are various ways
on how you can install packages and we
are going to look at them as we move on
so install dot packages and then inside
double quotes you type in install
r
that is the package that we need if you
want to update our
right
I'm not going to I'm not going to run it
because mine is already updated then on
the second line after installing
remember this particular line if you
want to install you come and click the
Run button here
okay you click this run button the
moment you click the Run button you have
to look in the arrow console because we
said within the r console this is where
all the executions takes place
hope you're seeing what is happening
within my arrow console okay and what it
is showing me what it does it goes into
the r repository and checks for that
um for that particular package you
you've asked for
each time you're installing a package on
your computer you need internet but the
moment the package is installed you will
not need internet anymore because it
will be already installed all you will
need is to load it how do we load a
package we are going to use the library
command but I just to show you down here
within my R console if you see what I
have what I have highlighted it is
showing me that package install are
successfully unpacked implying that it
has been successfully downloaded on my
computer so whatever package that you'll
want to install you need to check after
after the the red lines that you'll see
some of us when you see the red lines we
think they're errors but when you're
installing
um the different packages don't get
worried when you see those red lines so
the moment it will stop it will
automatically shows you that it has been
successfully unpacked or downloaded
okay now the next procedure what we are
going to do is uh we use what we call
the library okay
the library commands if you see the
library command within the bracket the
the the cut the cursor is popping
implying that now the library implies
that I want to load the install r
package because it's one that I want to
use so inside the bracket now I type
install
you see and as you as you type it there
it will even pop up it will pop out then
you click on it so what you do
you run that line okay the moment you
run that line now you go ahead and on
the next line you put updates
updates are
okay and then you you put an Open
Bracket
okay so after that you have to run line
number three
how do we run line number three you come
and click run
okay and then you give it time
so for my case you're not going to see
any results reason being I'm going to
I'm going to share with you what is
showing me on my computer
let me stop sharing this
and then I show you what I'm having
um let me share
this is what it's
this is what I'm having
um
I don't know if you're seeing this that
no need to update you are using the
latest R version R version 4.3.1
that is what I'm getting when I click
the line of updates for those that are
updating
so I'll just click since I'm using the
latest version then I don't need to
update again because I already have the
latest one and in case maybe after some
time we come up with another version of
4.3.2 it will still pop up as I open the
arrow studio and it will tell me that
there is a new R version would you like
to update so it is up to me or up to you
to say yes you want to update
okay
all right
so let me show you again
um
okay
so if you're updating R right you only
need these three lines
hopefully on the same page and then I
want to move on site that now we follow
through together
I am C3 windows
okay
so I've given you two options for those
that want to update to the latest
version
either you go ahead and download like
our colleagues did
the newer version or you can use these
commands to update our
okay now I'm going to go back on my
um
I'm going to go back and share the
PowerPoint
if it is already up to date it will tell
you no need to update you're using the
car the latest version okay
um this these are still different
Alternatives but I'm not going to go
into this subject I've demonstrated it
within our studio how you can go ahead
and do it
um okay what about in case you want to
update our studio
okay it is also very easy you go to The
Help menu in the top bar of our studio
and then within the top menu you select
check for updates
and the moment you selected for updates
for you to then it will bring you this
particular window that you are using the
latest version of our studio implying
that your R studio is up to up to date
and all you need is to move on so I'm
going to stop sharing this
I go back and share my R Studio again
okay
the moment I share that now
um I want to I want to update our studio
you got to help
okay you click help
after help come and click check for
updates
we want to update our studio
if you're using an older version so you
click check for updates
if you click check for updates and you
give it just
um a little time maybe to two minutes
you're going to see that it's going to
show you it's going to to bring a small
window that do not update available you
are using the newest version of our
studio and all you need to type you say
Okay implying that now you're good too
you're good to go
let me check in the chat if you've been
using the an older version of R can you
type for me in the chat if you've been
if you've succeeded to update your
version
okay
if you've managed to
just just type in just type if you if
you've managed just type yes if you've
succeeded
hmm we have to proceed yes you can
follow through and then you'll be able
to come up with an updated R version and
also
um our studio
okay it shouldn't take you long
um and then we we can continue
if you have got an error type it in the
Q and A then
you're going to get an answer
immediately a response on how to support
you type the error in a Q and A then my
colleagues are going to share we are
going to read through your your content
and they're going to respond
okay
all right
so we've been able to update r as well
as our studio implying that we are now
good to go I'm going to stop sharing
this for a short time and then go back
to our to the PowerPoint then later we
are going to dive back and say now what
how can we start with the basics that
can support us to move on
okay
all right
so on this particular
on what you're saying is that this is
what you expect to get if you're using
the newest R Studio it will tell you no
need it's just good to go
okay
it is just now I think we're on the same
page we need to get remember most of us
are first-time users
so we need to r as good different
packages that we need to install
remember once R and R studio is
installed now you need to know what
packages do you need to do the analysis
okay
all right
um
in case somebody is getting an error
when you're updating
you can for now you can leave it at that
we continue okay use the older version
but after that after today's session
um find time and give it and and update
it very well using
um the two options that I've shared
because we need to we need to proceed
okay so we are saying that I'm now
talking about R and the associated
packages like when I'm showing how to
update our we saw that install R is a
package that somebody needs updates are
implying that if you don't have that
particular package then you will not be
able to update your what you don't be
able to update our whatever whatever
implies that yellow is an older version
so we can update also our different
packages like I mentioned you can keep
adding packages but it's always
important to understand why am I adding
this package because when you go online
arrows got over 1 million packages but
you just need to know which pocket do
you need to use since all packages have
different importance
okay now let's move on and see how do we
add a packaging r or you can say
installing packages in in R there are
various options that you can go in for
depending on you know we can learn many
we can go ahead and see the various ways
but also pick the one that is easy for
you I've already shown the first one
install the packages and then when you
open the brackets within the double
quotes you type in the package name that
you want to use
another option is you go to tools up in
the art on our studio
under the tools on the drop down it has
got installed packages in our studio
and then there you search for the
package that you want to install
the third option could be you go on
packages on the on the right bottom
window and then you click install on
you'd click on install and then the
moment the open the window it opens you
type in the packet that you want to
install
it's also good to know that you can
install one package at a time or you can
install many packages at a time using a
c okay if you see if you see here we
have inside the bracket I've put C which
is concatenate bringing together and
there are various packages in there we
have a package called tired bus we have
another package called read XL we have
another packet deployer and then the GG
bupr all these packages have different
functions and we are going to say
um the ones that are most important for
now for example when you have read XL
it's a package an error package and it
supports you to read Microsoft Excel
files the spreadsheet files the so for
you to import
um an Excel sheet within Excel foreign
for you to import it into R you need to
have loaded or is you to have installed
Android loaded the red XL package
okay I'm going to go back within our R
and see how that one works but let me
yeah
okay
um
also like we like I mentioned in the
beginning that R is of is an is an open
source software
so whatever error you're getting should
not scare you
the error that you're seeing for the
first time somebody else have already
encountered that error
and like I mentioned each program you
need to practice as you practice these
things become familiar with you and if
you get that errors count yourself
blessed because it implies that it is
opening your brain it's a challenge
ahead of you to find out how do I sort
this particular error
another option in case you don't get an
instant response from from out from the
colleagues they said because they're
trying to answer everyone you can also
copy that error and paste it in Google
you'll be surprised that the same error
that you've encountered somebody else
got it earlier and there is a solution
you can read through and then start and
solve that particular problem
okay you can pass the problem or the
error within Google you'll be able to
see different ways on how other people
went about it and answered so and then
you you do the same within a within your
specific cases
okay apart from updating R and R Studio
you can as well also go ahead and update
packages okay and this plan we are also
going to show you within the the right
bottom window when you click on packages
in the right bottom window then you
click update if all packages are updated
you'll be able to see this particular
screen that I'm showing you otherwise it
will go ahead and update the various
packet the various packages that you
want
okay
um
um Getting Hope in R I'm going I'm going
to end here
on getting helping out then we go back
and see how do we install packages I
mentioned earlier that sometimes you may
want to know about how to use a certain
command because R is command driven
so for you to get hope you can either
type help then within the brackets help
is the command within the bracket you
type in whatever concern that you want
what you want Hope on what do you want
more details on
or in course you don't type help you can
type a question mark okay after the
question mark you put what you want help
on
for example do you want to know how a
teachers work you just type help in
bracket you put a test or you type a
question mark to test and then we see
the details okay I'm going to stop
sharing this and we'll go back to our
um
there's something also that I want to
share briefly before I go back to our
studio it is also a PDF within the
materials that we sent
um okay
let me first share that before we go
back
um when you check still in the materials
within the Google Drive you're going to
see this particular PDF which has some
of the packages that that have been that
I use constantly when we want to use our
for example I talked about the package
type verse most of the time the tide
vast package is going to support us in
data manipulation and making our codes
more readable
okay the root XL I've mentioned about it
that is going to support us in importing
data in R especially for files within
Excel
the diplier also supports in data
manipulations and operations
the ggplot2 package
it's going to support us in graphics
when we're doing data visualization
okay and then the Epi display it is also
another way that is going to support us
to display our our Graphics very well in
ascending order to appreciate the beauty
of the different process you're going to
come up with
most of the time after installing a
package you have to check that it has
been successfully installed by running
the library command you load that
Library if you load it and you check you
look through the um you look in the in
the r console and you're not and you're
not seeing any Reds then it implies that
you have successfully
um loaded that Library
so what we are going to do as well as
part of the homework make sure at least
by tomorrow you've loaded this
particular you've installed these
packages and loaded them
okay
all right
I'm going now to go back to our
then I share
okay
so
within the materials that's we sent on
um
[Music]
for within the folder there is what we
call class one dot R could you kindly um
open that that script just click on it
okay just click connect it will be good
if you have a folder with this material
somewhere in your computer with the in a
in a D drive or on your desktop or in
your documents wherever that you feel
comfortable with you okay so
what I mentioned like what what like
what I stated earlier that uh we need
the install you first need to you have
to install the packages for today please
try out only two these are the ones you
you'll try out later I want you to
um I want you to inst to install tide
bus
okay I can do it here I'm not going to
install it because I already have it and
then the other one that you can try out
is um
read install packages read XL
okay I'm just putting everything here
let's try out only those two packages
for today but as a homework you have to
make sure that all other packages are
installed on your computer before we
join another session tomorrow
okay now I want to load these libraries
so if you want to load your type library
then in bracket I'm going to put side
verse
okay
and then I'm also going to load library
and then in bracket I put read XL
okay so when I run this line
I click on the line and I run it I click
the Run button
and I come and check whatever I have in
my console it will show me that it has
been successfully loaded I come and I
run the library read Excel when I run
that when I check in my console I don't
see any error implying that I'm good to
go
sometimes when I have different
libraries and you don't want to load one
by one you can just highlight everything
and then click run
you know
and then when you look in the r console
everything will be okay
great
all right now
um maybe you might ask yourself when you
look at my when you look at uh when you
look at uh my installed packages then
there is a hash there is this hash here
that I'm putting that hash then data
manipulation what hash does it is just
uh it acts like a reminder let me do it
here for example if I come online on
line five and I type hash
it is just like a comment or a reminder
and it is inactive our looks at it as an
something inactive when I put data
manipulation
so
sorry
okay
so
if you see what I've put here
um it is yes it's going to act as a
reminder for me to remember that oh I
use this particular package to support
that it is used for data manipulation
so in case I or if I change this because
I want to run the same line to show you
that it doesn't have any effect they're
just comments when you're revising they
support you to remember when I run this
particular line when you look in the r
console it doesn't have any effect it is
just a comment okay so you can keep on
maybe you can also come and put a
comment here maybe for
um you can type importing data okay that
this package will support me in
importing data so in case I run that
particular line again it will appear as
just a comment it is inactive it doesn't
have any effect on whatever
um
um on whatever command that I've written
you can also
um put it as a search of maybe you're
creating different sections to support
you when you want to come back on the
same file you can put a slash and then
you put you can write maybe this section
you can put loading packages I'm just
giving an example
implying that as I come next time when
I'm opening my ours to my R Studio I'll
be able to check like okay now the
following section is telling me loading
packages because I'm having Library time
advice and then Library read Excel I can
come and put maybe up here and I put
installing
installing packages just to give me as a
reminder to make my work even more
neater such that when I come back I'm
able to to know before going to install
packages this section is telling me
install packages
okay let me pause and check it in that
chat are we on the same page
put put
an emoji smile the image of a smile then
I'll get to know particular page
uh Somebody's Crying
what is the somebody said no no no no no
no no no no no no
okay the one who is who is crying what
is the problem oh that's speed
okay okay
stop crying
laughs
all right
um
interesting
okay
all right
I'm starting from where
[Music]
okay now I'm going to Let's recap again
such that we can all smile at the end of
the day leave after the after the
training because uh the moment we learn
the basics
it will be easy for us to quickly follow
through the other things that we are
going to learn during this week
okay number one
I mentioned
let me know let me get to a new script
I'm starting with a new script
I want us to recap again on installing
packages
after installing packages then how do we
load them these are the two things I'm
trying to explain and then after that I
want us to see how we put comments
within our work because you can keep on
doing it even on a big project
how do we install packages
I mentioned there are various ways on
how to install packages but you can pick
the one that is easy for you
so most of the time the easy one is you
type install
dots packages
okay
that is the command we are going to use
install.packages and then within the
bracket we need to type in what package
do we want to install
um
so I can say I want to install read
Excel
okay you type in read XL
are we together
so the moment you have that line
if you want to install it you need to
have internet you come and click the run
this icon here which has run
okay let me let me click there though I
read though it's already installed on my
computer but just for demonstration
purposes
if you run that that particular line
do you see what is telling me that uh
ours that one almost the packages to be
um to be updated are currently loaded
implying that it is it is showing me
that it is already loaded on my it's
already that this particular package is
already installed on my computer
okay and it's asking me do you want to
restart our prior to install I don't
want to do that but I ask you that you
run this particular line such that you
install it on what on your computer
the moment it is successfully installed
for you to confirm for you to load it
now for you to use it now you need to
load it by using the library command
you type Library
and then in Brackets
we are going to put read XL
and then what you're going to do you're
going to click the Run button when you
look in the r console it is showing you
that it has been successfully loaded we
are not seeing any error
okay
some other people
if you want to install another package
again you can still come and write
install
dot packages we say it for today let's
install at least two
so
yeah
okay yeah in case it is asking you about
the our tools do the same thing
installed packages and then in bracket
you type in our tools
because whenever you see a comment or
something that it's in red please read
it critically because it's it's what is
going to guide you on the next step if
it is asking our tools then install the
packages then
um within the double quotes type in our
tools
okay if it is requesting you for
something different depending on the
comment that it is bringing that is it
is bringing out then install that
foreign
how do we run
do we highlight the command okay
when you check
are you saying where where my hand is
it has a green a Green Arrow and it is
bringing run the current Line Post
selection
so what you do you come and click at the
end of you click anywhere where for
example line number four you if you see
where the there is my castle blinking
so if I click there I come and click
this I click here where there is run up
here
you just click you just click run yes
okay
[Music]
a kind reminder please if you have
questions type them in the Q and A
question and answer
um
section
type of the the questions there because
within the chat the response there we
have many responses and they come very
fast so it is easy to to skip
um any any question please type them in
the Q and A and then you're going to get
um prompt answers
okay now what about
um I can also install packages remember
we talked about Thai device which is
going to support us in data manipulation
okay I'm not going to run that I'm going
to just load it using the library
and then in brackets I put
tied the bus
I do the same thing I run that
particular line and when I check in my
arrow console when you run something in
the r Studio up here you see the results
in the r console
if you don't want to run line by line
you might have many packages you can
highlight everything and then you click
the they are run the current
um
um lines
okay let me first pause now and ask in
the chat are we on the same page
so to
um today our homework is going to be for
those that have that haven't gotten how
to download are you're going to go read
through the material and make sure by
that by the Same by the new session
tomorrow we've got R and R Studio the
other homework is going to be you check
into the document the PDF document that
has got different packages you make sure
you install them before the next session
okay
um if it is asking you for our tools
please go ahead and type install the
packages and then install our tools I
encourage you to read the errors very
well because they're the ones to guide
you on the next stage and don't be
afraid of seeing errors because they
give you a challenge of knowing what am
I supposed to do next please type all
your questions within the queue and a
h
okay
where is the PDF please
okay
okay we are going to continue
um
and also just to to let you know that we
are recording the sessions you can also
go back after the session to follow
through closely to see that you get
familiar with what we are doing
okay when must we install packages are
I don't know whether it's when or where
okay
um like I mentioned that uh
there are various packages but you're
not going to install everything
you have to know why am I installing a
particular package do I really need it
you only install what you need where it
is within the hours the first upper
window here we where there is our studio
where we are putting the libraries we
are installing the libraries within the
our script
okay they are Scripts
they are script that you opened it's
where I'm typing install the packages
then the install packages the moment I
click the Run button I give it time to
install
okay and then the moments it shows me
within my console that it has
successfully downloaded then for me to
use it I need to type I need to load it
using the library and then in bracket I
put in the package that I want
okay
how do I save my script yes some people
are just ahead of everyone
okay
all right now
let's continue
okay let's continue
so
um
I was talking about where do you
somebody's having an error
instead of writing
install.packages you have installed
package so you'll get an error it is
supposed to be installed dot packages
not install dot package
all right
now how do we put comments I want to
show you how to put comments remember
what we said you can you can put
comments by putting a hash and then
after the hash whatever I put after the
hash R looks at them as inactives
you can say we know that we read XL is
uh we are going to you we use that when
importing importing importing data or
you can say importing a data set
okay and then I say that for the case of
the child verse I comment and say this
one is for data manipulation
okay if I don't want to write them like
that I can just create blocks I put a
comment and I say okay length three and
four it shows me
um
installing
installing packages
okay and then I can come and create
another comments to that will help me to
remember and I say loading packages
depending on what you want to do
it okay
I don't know whether that is now very
clear
so
and sometimes because you might end up
writing a very big script and a very big
r script and you can get lost in the
long run but in case you keep on putting
comments it will be very easy for you to
to come back and and uh and check
through what did I do online number this
what about online number this what about
in this particular blog and then you can
easily transfer the knowledge on the
next watch on the
um on the other project that you want
okay
how about saving it is very easy
you need to serve your our scripts like
that you're able to I mean by if you
come back again you can be able to use
it
so there are various options again
depending on the easy one that you're
interested in you can come and click
that that disk button this one here
which shows save current documents or
you can type Control Plus s
okay you can click save
the moment you click save you have to
direct R to where you want to save this
that particular script
okay depending on where where the folder
where you want to work from is because
you have to save this script within the
folder which has the different materials
that you want to do
for example for my case I can go I'm I'm
working under the D drive
and uh
I can
this is day one I can save it under here
where I've got the the door one
materials and you can label it anything
for example if I use Helen
that is the name that I want you know
depending on your case and then I click
save
the moment I click save when I come back
here where there was Untitled now it has
got the name that I that that I wanted
to that I've saved my file which is
Helen
let me check in the chat are we on the
same page
okay
if you have a consent if you please
press it in the Q and A
you'll get the the answers
okay
now
um what have we learned we've learned
how to install packages we've learned
how to load packages installing user
installed packages loading we use the
library
great now these other packages you're
going to load them as your homework
before the next session tomorrow site
that we we don't lag behind
now there's one thing that uh I want us
to learn today how do we import data in
r or even before we go into that let's
learn something about
um we've learned about comments uh let's
use we talked about the help command
okay we said how do you use help you
type in help and then in bracket you put
what you want help on within our slides
we had the t-test
okay you want to know about that t-test
so you click the Run button
when you click the Run button now you
see that now everything has opened
within the help window
it is showing us it's a student tests
what does it do it gives you the
description that performs one and two
sample teachers on vectors of data
it further goes to show you the usage
what is the usage how how are you going
to use the command the t-test command it
shows you that the command is t-test and
then inside there is X and then other
dots it also gives you the another
default uh 3 is method which is here
this is the command also remember we've
asked about the t-test you put in your
vector which is the X the y equal to
null it can ask you the alternative are
you going to use two-sided the one-sided
all that greater is it paired are you
using equal variancy what about the
confidence interval
so it is quite interesting that it gives
you the usage of the commands and then
later when you scroll down within the
help window it shows you the different
the explanation of the different
arguments that X means this so if you're
going to refer to your data this is what
you have to feed it with okay for
example here x they're saying that it's
a non-empty numerical Vector of data
values it will depend on what we how we
are going to do that and you read the
rest how it is being done it shows you
the details the values and also
interestingly gives you some of the
examples actually you can first run the
X the examples that are being that are
given to you and then after
understanding them very well you go back
and apply it on the what you go back and
apply it now on your on your work
if you don't use the help command you
can use the question mark the question
mark and then you type t-tests
okay and then you run that line of
course it's going to give us the what
the same thing when you run the question
mark it gives us or you can for example
okay let's type question mark
we want help on what about the men okay
when you click run all the results you
have to check with them you have to
check them in the help window you come
and read the description you come and
read the usage what whatever is inside
the bracket we call them arguments what
do different arguments mean okay you
come and read about they would you come
and read about to them
um you go ahead sometimes R gives a
reference then uh add the examples that
you can really refer to and then the
moment you understand whatever is there
you go back and do it on your own work
okay
I think that is clear how to use the
help command in R it is it is uh it is
important
all right
um what I want us to learn today also
um are I'm still when you check my when
you look at my R scripts which I served
as helen.r
this time around it's now red
what is telling me that you have some
work that you've put in this group that
is not saved so all I need to do is now
to come and click the save icon the
moment I click save it is going to turn
black implying that now all the
information within this script has been
saved each time it turns red it is an
alert for you telling you that it is you
have work that it's not what it's not
self sometimes you might assume that the
work is served when it is not and when
you come back tomorrow looking for the
script you cannot be able to find it
let's also do something more interesting
within r that R can also be used as a
calculator right how do we do that okay
we agree we are going to see more
details within our PowerPoint but let's
start with the basics let's get
acquainted with what the program really
how the program really works for example
let's do something very simple but what
about when you say two plus two
and when you click the Run button you're
going to see the answer in the r console
you can try it at your end and see okay
you can do any arithmetic for example
you can say 40 or you can say
um six
um six times nine and then minus four
when you click that line it's going to
give you 50.
you can also create variables
for example you can say let's my a
okay
um a is a variable
how do we assign variables in R you
either use an equal sign or you use a
less Dash sign for example I can say a
less Dash equal to 10
and this and I run that line the moment
I run it I see it in the r console but
at the same time it is being served
within my environment somebody else can
say like no let me use a to oh I can
change that b is equal to 12. okay and I
run that line
how do the what I'm introducing here is
the assignment operator you can use an
equal sign or you can use a list that
sign
and now having had your variables that
my a is 10 and my B is 12 you can come
online to it and say what about what is
a plus b
okay because already these variables are
already in the memory all so I will know
that your a is 10 and your B is 12. so
when you click the Run button you're
going to come up with the answer as 12.
let me check in with charge up I'm not
fast I want the same page
how to use r as a calculator
have you tried out something
okay please try out
it will be amazing that uh you know try
out anything
that R can be used as a calculator
okay
when you're using r as a calculator I
don't expect you to come to get an error
where do you where do you get an error
because it is you doing it
if you're lost kindly don't lose hope
okay type the question in the key and a
and the same time we say the session is
being recorded So after the session you
can take some time and and check through
again on your own
because if you have uh
um if you get a negative attitude then
you you everything will not turn out to
be good for you can you copy paste the
question with many commands and get an
answer
[Music]
it will depend on the question that uh
that that you're working on
okay and Stephen is is giving some
comforting words that we are in this
together so don't get lost we'll move on
I'm glad to see
um some positive comments that things
are working
okay
just type in anything
um
Thermo typing anything
yes uh praise you're saying that you did
the same thing and your answer is 22. it
is true that you have to increase so the
answer is 22. in order to have what
answer
okay okay so we can create another
variable for example we can say mean is
equal to a plus
a plus b I'm using these uh
I'm using a plus b because it's already
what it's already the values already
within the memory so when I run this
line okay I will not see I will not see
the answer
so all I need to do to on to go on line
25 and I type mean so when I run that
one it will come down and when you look
when you look in the arrow console it
will show you the answer is 22. I just
said the mean is equal to a plus b
just as a variable so you can use
anything
okay
as we are going to push on sometimes we
are going to refer to this variable to
whatever assignments that we are doing
as objects because they can change
okay and then lastly I'm going to save
this what I want to end with today
let's do something interesting let's see
how do we import data in r that is the
only brick that I want us to end with
and the data that we are going to to
import which is has an extension of xlsx
um I'll explain the details tomorrow
okay let's just do this particular
exercise just go within the folder where
you put your day one material
okay there is a data set which is
labeled as lab Lab 2 underscore data Dot
xlsx
I'm not going to tell you the details
I'll explain the details tomorrow when
we are fresh but I just want us to to
see how do we import it in r
okay
are we together
okay
so that is what we are going to do today
only that is the last bit that I want us
to work on and then I will end
so what we are going to do
I'm assuming that you've already created
a folder when you go to the Google Drive
just download that folder and put the
materials somewhere on your desktop you
can put it on your D drive so that your
um your computer doesn't get full in a
short time
okay
how are we going to do that within that
Excel sheet there's some there's some
there is some data but like I mentioned
I'm not going to go into the details of
that data I don't want to discourage you
for the start let's first see let's just
exercise how to import it and then
tomorrow we'll get more details
okay what we are going to do
um
there are different ways on how to do it
because as you get familiar with the
with the the language with the language
we have to discover even the Assumption
I can use this shortcut I don't need to
go into the the the the long way all
right for example what we are going to
do please
um check you go to file
so um how to make my other comment here
importing how to write importing
um
I'm going I'm writing importing data
remember this is just a comment even if
I run that line there is there is no big
deal because it's just a comment R sees
it as a comment there is no big deal
so what I'm going to do I go to file
this is the last thing we are doing
we go to file
when you scroll down there is what we
call import dataset
import data sets
you come and scroll you know
um R is uh you can use R to import to
import data from other softwares like
SPSS SAS stata Etc but what you want to
do today is to import data within Excel
so I'm going to click Excel
the moment I click Excel it brings me
this particular window
okay now what I do next is I go where
there is browse I need to browse and see
where is my data on my computer which is
within the folder that that that that
you separated on your computer somewhere
so you click on browse
okay my data is saved on the watch on
the D drive so I'm going to go and
navigate and then I want to get data
which is served as
xlsx if you haven't downloaded these
materials on your desktop just pick any
data on your computer which is which is
which is served as which has which is uh
a mic which is served as a micro Excel
worksheet okay you click on it and then
you click open
the moment you click open you give it a
little time and then you'll be able to
see a data preview
all right when you come and check in the
code preview you'll be able to see
what's the the code that it has used
okay we have the library
it uses the read XL if you remember that
library then the next line on the lab to
underscore data it shows us the path it
has used the read underscore Excel
command this command here and inside it
has put the path so these parts are
going to be different it is going to be
showing you where your data is and then
later it has brought the view command
The View command we use it when you want
to see our data so this is the preview
that you're seeing that within our data
we have some variables and then how they
are being measured like I mentioned I
don't want to go into details of what
this data set is all about all I want us
is to be able to import
so after that you come and click import
so the moment you import you'll have to
check if if it is successfully imported
within your environment you're going to
see something like this which is going
to show you the name of the data by
default what you saved it with it is
going to show you that there are 100
observations and they have got seven
variables
okay let me pause and give you some time
and I'm going to ask in the church if
you've been successful
if not we do it again
please try
okay
all right
somebody's asking why should we import
data
we are quoting data in our site that we
are able to do the analysis how I'm
going to make decisions how I'm going to
you know we need to to find out we need
to do data analysis we need to do data
interpretation and all can only be done
after importing data within R and then
we do the different analysis or
statistical techniques that we are
interested in
okay I'm going to repeat the last time
all right let me close this
I'm going to still use the same path but
I say there are some there's another
approach somebody can also come and just
click here import data sets under the
environment there is that I there is
where are you seeing the hand okay you
can also use that and say import data
set it is still going to give you the
same procedures just a shortcut
and then they ask you from what today we
say they want to do from Excel
okay but let me use the original
procedure you go to file
okay import data
make sure you have the data set
somewhere on your computer if you've not
downloaded anything from the Google
Drive let's import any data that you
have on your computer we want to see the
the point is have you been able to to
import it successfully that is our aim
okay so you come and click from Excel
if you click from Excel you're going to
see this particular window
I have to say it shows the import Excel
data
okay here it's going to give you a path
that you're going to use so you come and
click browse
so we'll make you click browse you need
to direct our where that where the Excel
sheet you want to import is okay for me
it is on my within my day one uh folder
so I come and click on the on the file
that has an extension of dot
xlss then I click open
okay when I click open I give it a
little while and then it show me that
that data is there but what I need to do
is to click Imports
okay when I click import now it will
show me that oh your data has been
successfully imported with the default
name where the one that used to sell a
hundred variables and seven observations
okay let me pause in the chat I don't
want to add anything
name of the data please
just go in that folder the folder which
has the
um the materials and import any any data
set which is which has got an extension
of xlsx
we don't need to import the one that
I've that I've just shared
okay if we've been if you've been
successful can you type the the smile
Emoji okay somebody is putting a thumb
great uh-huh
thumbs up
it's getting nicer
at least people are not crying now
okay
Grace
all right now
I don't want to introduce anything new
for now
in case in case you're lost or you got
lost anywhere during the during the
course of what you've been doing in the
first station
please use I'll use the use the recorded
the recorded link
and go ahead and follow through from
where we started from
number two you have some assignments to
do go into the PDF that has got
different uh
um different
packages install them
after installing them load them selected
by tomorrow we don't go into back into
issues of packages installing we will be
very sure that now that procedure has
been captured very well
in case you've been not been in case
you're using an old version of r i
kindly ask you to after the train after
the day one go ahead and update in in
the in your free time
if you fail to download and download RNR
Studio please do so before the next
session I think there are many
um I've given a lot of outline of the
things that you really need to do before
we meet tomorrow
I want to I want to end here and then
take you back to Professor Susan
okay thank you so much that's your proof
maybe yes okay okay go ahead
hello everyone I I just want to
uh try to emphasize the use of uh of
Google
and following the instruction once you
see uh red you you put in an instruction
and you see it read in the console the
first thing you need to do is to read
read that sometimes the red is the
warning and does not mean that the thing
will all run but sometimes it is telling
you that something is not going on right
so you first need to read that because
it will be helpful uh to know it will
help you out solve the problem and then
the second thing is you need to be in
position to use uh all the available
online tools
you can copy a particular error or
questions put it in Google and then from
there it will tell you whether somebody
else had been at the experience the same
problem and the kind of solution now
this one requires that you're very
patient it's not something that's going
to be quick uh fix there are lots of
challenges to do with other tools and
this one mainly related to the type of
computer you have and then the versions
of other that you have so sometimes we
cannot give you fix fixed kind of a
quick kind of answers that you may be
looking for so we need to uh to be able
to go slow and please don't ask for
questions that are still ahead remember
we have thousands of people we are
dealing with now so sometimes there'll
be so many questions some of them are
still something that are supposed to
come tomorrow or that
so we need to to be able to uh to ask
questions realistically they think that
should be in the chat room I think that
should be the Q and A but you for now
you can on YouTube you can go and start
looking how to install error Hardware
problem other tools you can go on
YouTube and then you can actually get
some of this solution so that by
tomorrow when we are coming back uh we
should be able to move quickly
hey
no I'm not muted let me see
you're hearing me yes yeah so so that is
the the thing we expect everybody to go
uh spend a few minutes to rest and then
you go on and try to follow what has
been captured they ensure that by the
time you come tomorrow unless you
install ARA you will install ARA Studio
thank you very much for today
assembly
uh ladies and gentlemen I'm so grateful
uh for this day we've been so it has
been so good
thank you for your cooperation
thank you very much everyone thank you
for your cooperation
and tomorrow we will still continue with
Dr Helen
then if there is time we will handle
something also interesting like today
but please as my colleagues are echoing
practice makes perfect
don't sleep on our go and practice give
it 30 minutes practice what you've
learned today and then you'll be better
you will even be better than us thank
you so much have a good evening bye bye
now
back to
to a Command Center thank you so much
our facilitators
and me too or and uh
if she's around
if not let us
open
uh thank you everyone and let's meet
tomorrow at the same time