###### Course Contents

Introduction of R-language. Essentials of R. Assessing the data. Matrices.
Categorical data: Graphical representation.
Univariate data: Computation of descriptive measures. Bivariate data. Multivariate data. Regression: Simple Linear. Multiple Linear. Ridge regression. ANOVA. Probability distributions: Random number generation, Fitting of distribution. Testing of hypothesis. Goodness of Fit. Looping, Simulations. Programming in R.

###### Course Synopsis

To familiarize the students with basics of R- language, programming & simulations.

###### Course Learning Outcomes

On completion of the course, students will be able to:
• Understand basics of R-Language and different data structures in R
• Perform vectorized calculations and use R programming and visualizations for statistical data analysis
• Access R packages, data sets and reading data into R
• Learn the simulation techniques used to validate the estimates
###### Lists and Simulation in R HD by STATISTICS LCWU

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###### One Sample t test in R by STATISTICS LCWU

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###### ANOVA

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###### Fitting of Regression line

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###### Function of F-Test

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###### Function of One-Sample t-test

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###### Function of Two-Sample t-test

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###### Functions in R

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###### Goodness of Fit Test

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###### Lists and Simulations in R

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###### Loops

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###### One Sample t-test

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###### Probability distributions in R

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###### Two Sample T-test & F-test

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###### R Programming Tutorial - Learn the Basics of Statistical Computing by freeCodeCamp.org

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###### For Loops in R by Richard Webster

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###### While Loops in R by Richard Webster

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###### R Programming - Repeat Loop by Tutorials Point (India) Ltd.

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###### Introduction to Lists in R by Ed Boone

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###### Making Functions in R by Richard Webster

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###### One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures by MarinStatsLectures-R Programming & Statistics

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###### Two-Sample t Test in R (Independent Groups) with Example | R Tutorial 4.2 | MarinStatsLectures by MarinStatsLectures-R Programming & Statistics

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###### How to Calculate Anova Using R by statisticsfun

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###### Two-Way ANOVA with R - warpbreaks example by Dragonfly Statistics

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###### Two Way ANOVA in R by Jonathan Helm

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Book Title : Using R for Introductory Statistics

Author : John Verzani

Edition : Print

Publisher : CHAPMAN & HALL/CRC

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Book Title : Using R, Data management, Statistical Analysis and Graphics

Author : Nicholas J. Hoston & Ken Kleinman

Edition : 2nd

Publisher : CRC Press

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