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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