R (3) : Tutorials by William King

R Tutorials

by William B. King, Ph.D.

Coastal Carolina University

TABLE OF CONTENTS

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• Help With Installation (If You Need It)
• Quick and Dirty R A text tutorial for the impatient!
• Quick and Dirty R Revised and expanded version.
• A Summary of Many of the Functions Covered in These Tutorials Alphabetical by function name.
• An R Function Reference Alphabetical by procedure.

A Demonstration (for those who just want to see what R is).

• Work-Along Demonstration of R

These tutorials should be done first and in order.

• Preliminaries
• R Objects
• Doing Arithmetic in R
• Simple Data Entry and Description
• Data Frames
• Saving and Loading R Objects

These tutorials can be done in any order.

• More Descriptive Statistics
• Describing Data Graphically
• Probability Distributions, Quantiles, Checks for Normality
• Counts and Proportions
• Chi Square Goodness of Fit Test
• Chi Square Test of Independence
• Log Linear Analysis
• Single Sample t Test
• Independent Samples t Test and Alternatives
• Related Measures (Dependent Samples) t Test and Alternatives
• Oneway Between Subjects ANOVA
• Factorial Between Subjects ANOVA
• ANOVA With Repeated Measures Factors
• Simple Linear Correlation and Regression
• Simple Nonlinear Correlation and Regression
• Multiple Regression
• Analysis of Covariance
• Logistic Regression
• Generalized Linear Models
• Time Series Analysis (Rudimentary.)
• Resampling Techniques
• Graphics (Which Is To Say, More and Fancier Graphics)

Other stuff.

• Model Formulae
• Writing Your Own Functions and Scripts
• Package Management
• References and Resources

Useful external links.

• R Project Website
• Contributed Documentation at the R Website
• A Long List of Book On or Using R
• Quick-R Tutorials (for SAS/SPSS/Stata Users)

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If you find errors and wish to report them, or if you wish to make suggestions, or if you just wish to heap praise or scorn on the author, I can be reached at
source: http://ww2.coastal.edu/kingw/statistics/R-tutorials/