Topic/ Sub-

topic

Resources

Annotation

An Introduction to R

        1.   (Videos)

1. https://www.youtube.com/watch?v=cX532N_XLIs  (Duration- 4.54)
2. https://www.youtube.com/watch?v=UYclmg1_KLk  (Duration- 4.54)
3. https://www.youtube.com/watch?v=qPk0YEKhqB8(Duration- 6.59)

Description

(1) Introduction to R programming: How to download, Install and Setup R and R Studio

(2) Getting started with R

(3) How to Import Data, Copy Data from Excel to R: .csv and .txt formats

Suitable for

Under Graduate, Post Graduate students and Research Scholars

Learning Outcome

(a) Students will be able to know how to download and install the statistical software R and R Studio.

(b) How to assign values to objects, how to perform arithmetic functions (+,-,*,/) and a few other handy things in R. Learners can also learn the “Is”, “rm”, “sqrt”, “log”, “exp”, “abs” and “#” commands.

(c) Students can also learn how to import or copy data from Excel (or other spreadsheets) into R using both comma separated values and tab-delimited text file. They can also learn how to use “read.csv”, “read.delim” and “read.table” commands.

             2.   (Websites)

a)    www.r-tutor.com/r-introduction

b)   www.rstatistics.net/what-is-r

c)    www.rstatistics.net/r-tutorial-exercise-for-beginners

Description

(a) Introductory tutorials on basic R concepts

(b) Beginners learning resources on R programming

(c) Step-by-step learning guide cum practice workbook for beginners

Suitable for

Under Graduate, Post Graduate students and Research Scholars

Learning Outcome

Students will be able to learn and perform statistical analyses and problem solving in various areas.

        3.   (E Books)

(a) R for Beginners- Emmanuel Paradis (pg no. 3-61)

https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf

(b) An Introduction to R- W. N. Venables, D. M. Smith and the R Core Team (pg no. 2-14)

https://cran.rstudio.com/doc/manuals/r-release/R-intro.pdf

(c) Introductory R: A Beginner’s Guide to Data Visualisation, Statistical Analysis and Programming in R- Robert J Knell ( pg no. 6-20)

http://www.introductory.co.uk

Description

(a) Basic Concepts on R

(b) The R Environment- Introduction and Preliminaries

(c) Data Visualisation, Statistical Analysis and Programming in R

Suitable for

Under Graduate, Post Graduate students and Research Scholars

Learning Outcome

Students will be able to know about the basics of R software which will be useful for the statistical computing, graphics and data analysis.