The Git Repo for content and code for the - Data Science India - R Begginers Online Virtual Learning Session. Students / Corporate Learners who have been through earlier online sessions with me , may also benefit from this updated repository . As usual in case of any challenges reach out to me for further discussions .

Do note basis feedback from students - the content and flow of the sessions keeps changing .

Two of my Older Blogs are as below - they also have R and Python code for Beginners

R for Beginners OLD Blog

R and Python another slightly dated Blog

[ Duration : @60 Minutes ]

R STUDIO - SCREEN SHOTS

R Code for this Module -R_Pubs , R_Code.pdf , and R_Code_2.pdf ...

1. Intro to R the R Project for Statistical Analysis, Intro to R Studio , Intro to CRAN - any other introductory exchanges. Kindly note we shall us the FREE Versions Only of both R and RStudio for all our Learning sessions.

Download and Install R - Linux

Download and Install R - Windows

Download and Install R Studio - Linux

Download and Install R Studio - Windows

2. Intro to Basic Data Structures in R - Array , Matrix , DataFrame and Lists .

   " A Dataset is a Rectangular Array of Data - ROWS == OBSERVATIONS or EXAMPLES and COLUMNS == VARIABLES or LABELS or ATTRIBUTES"
   
   

   EMP ID == ROW or INDEX or CASE IDENTIFIER

   EMP NAME == ROW or INDEX or CASE IDENTIFIER

   DOJ == DATE VAR

   DOE == DATE VAR

   AnnualCTC == CONTINUOUS VAR

   SEX [ M/F ] == CATEGORICAL or NOMINAL VAR [ Boolean 0 / 1 ]

   ORDINAL == ??

   INTERVAL VAR == ??

3. Intro to CSV files . Entering Data from a CSV file . Entering Data from the R Studio GUI vs. from R Script. R Code for this Module - R_Code.pdf ...

4. Basic Data Wrangling Functions :-

The R Language Prompt is :-

 ">"

This is the default in R Studio / R Studio Console. We mostly use the - "R Notebook" provided within R Studio.

Render - R Notebook.Rmd , files into a PDF file , with the "KNIT" command- for easy portability and publishing - code and charts.

We cant see the ">" prompt preceding our chunks in PDF files. We still use ">" prompt wihtin ReadMe.md file or other instructional files to represent begining of a Code chunk.

#
# Check Data Sets in Env .
> objects()
#

As seen below - when we use the GUI within R Studio or the Console to install a R Package from a CRAN Mirror - we will be able to see a Console output as below - yours may differ in certain aspects due to different directory structure and Operating System etc.

> install.packages(c("psych","ggplot2")) # installing multiple packages
# Sample Console Output for the - psych - package
> install.packages("psych")
Installing package into ‘/home/dhankar/R/x86_64-pc-linux-gnu-library/3.3’
(as ‘lib’ is unspecified)
also installing the dependency ‘mnormt’

trying URL 'https://cran.rstudio.com/src/contrib/mnormt_1.5-5.tar.gz'
Content type 'application/x-gzip' length 37169 bytes (36 KB)
==================================================
downloaded 36 KB

trying URL 'https://cran.rstudio.com/src/contrib/psych_1.7.5.tar.gz'
Content type 'application/x-gzip' length 3219737 bytes (3.1 MB)
==================================================
downloaded 3.1 MB

* installing *source* package ‘mnormt’ ...
** package ‘mnormt’ successfully unpacked and MD5 sums checked
** libs
gfortran   -fpic  -g -O2 -fstack-protector-strong  -c biv-nt.f -o biv-nt.o
gfortran   -fpic  -g -O2 -fstack-protector-strong  -c sadmvnt.f -o sadmvnt.o
gcc -std=gnu99 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -Wl,-z,relro -o mnormt.so biv-nt.o sadmvnt.o -lgfortran -lm -lquadmath -L/usr/lib/R/lib -lR
installing to /home/dhankar/R/x86_64-pc-linux-gnu-library/3.3/mnormt/libs

Command to Quit R Studio and save your environment variables and project history.

> q() # Quit R Studio 
#
# We use R Studio GUI to not only Install Packages also LOAD already installed packages
#
library("psych", lib.loc="~/R/win-library/3.1")
#
# Misc ..HouseKeeping tasks ---
#
sink(Saved_Code_File_.txt)
#
savehistory()
#
save.image("C:/.///.//..RData)
#
getwd()
#
setwd()
#

Questions and Answers

[ Duration : @60 Minutes ]

R Code for this Module -R_Pubs , R_Code.pdf ... and... R_Code_2.pdf ...

1. Using the Built in HELP Commands , learning to use Vignettes and CRAN for HELP. Accessing internal Data Sources - mtcars , iris etc .

2. The basic Arithmetic Operators , NaN , NA etc .

3. Intro to Logical Operators and Vectorized operations.

4. R Data Structures - The ATOMIC Vector . Common operations of ...

5. The FACTOR , the LISTS , operations of ...

6. The DataFRAME , common Operations of DataFRAME's - specifying individual elements etc .

7. The MATRIX and Matrices , common Operations of Matrices .

8. The ARRAY Data Structure .

9 The LISTS - the Super Data Structure - Lists of Matrices , Lists of Lists etc ..

Questions and Answers

[ Duration : @60 Minutes ]

R Code for this Module -R_Pubs , R_Code_2.pdf ...

1. Intro to Data Vizualization with R.

2. Scatter Plots , Correlation Matrices , the plot() function .

3. Detailing the Vanila Plots - Point Shapes , Fonts , Line Colors and Reference Lines.

4. Creating Multiple Plots or an ARRAY of Plots .

5. Which Plot is best suited - for what kind of Data Analysis and Visualization ?

6. Avoid overdoing the Visual and avoiding certain kind of Plots .

7. The HISTOGRAM - hist() and truehist() etc .

8. Visualize a relation between Two Variables - the qqPlot() and others .

9. Boxplots and Mosaic Plots - the various options and tweaks.

10. The Correlation matrices and the corrplot() function.

Questions and Answers

[ Duration : @60 Minutes ]

R Code for this Module -R_Pubs , R_Code_2.pdf ...

1. Plots and Graphs - the par() function.

2. Add lines , points , text , trend lines for linear regression , legends and tweak the axis axes() etc.

3. Intro to ggplot2 and lattice.

4. Plotting advanced data types with ggplot2 - plotting Factors , scatterplots , boxplots - the qplot() function.

[ Duration : @60 Minutes ]

R Code for this Module -R_Pubs , R_Code_2.pdf ...

[ Duration : @60 Minutes ]

R Code for this Module -R_Pubs , R_Code_2.pdf ...

1. Install Latex or TexLive for UBUNTU Check Latex install on UBUNTU -

   dhankar@dhankar-VPCEB44EN:~/$ whereis latex
   latex: /usr/bin/latex /usr/share/man/man1/latex.1.gz
   

2. RStudio R Markdown CheatSheet - Download the PDF

3. If youre Pushing a lot of Commits to your GitHub repo and like me dont like entering your Auth credentials again - do this ---

dhankar@dhankar-VPCEB44EN:~/Desktop/R_Own$ git config credential.helper store

Source - "https://git-scm.com/docs/git-credential-store"

4. Wiki reference -- Algebraic definition- of the Dot Product - "https://en.wikipedia.org/wiki/Dot_product"

5. Wiki reference -- Percentile Rank - "https://en.wikipedia.org/wiki/Percentile_rank"

6. Wiki reference -- Transpose of a MATRIX -- https://en.wikipedia.org/wiki/Transpose

7. Wiki reference -- Scatter plot. (2017, July 2). In Wikipedia, The Free Encyclopedia. Retrieved 11:30, July 26, 2017 , from https://en.wikipedia.org/w/index.php?title=Scatter_plot&oldid=788581167