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Download Sections 1-6 General R Information.pdf (337 KB)
Download Sections 7-9 Graphs and Summary Statistics.pdf (222 KB)
Download Sections 10-14 Distributions and Critical Values.pdf (389 KB)
Download Sections 15-28 Parametric Methods.pdf (450 KB)
Download Sections 29-38 Non-Parametric Methods.pdf (526 KB)
Download Sections 39-40 Follow-Up Comparisons.pdf (230 KB)
Download Sections 41-45 Effect Sizes.pdf (375 KB)
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This “How To….” Manual is intended to assist the new user in implementing standard statistical methods, both parametric and non-parametric, using R statistical software. Its focus is on R implementation, not statistical theory. It includes the R commands, with examples, for the following: proportion tests, t-tests, ANOVA, variance tests, several correlation measures and regression models, Mann-Whitney-Wilcoxon tests, Kruskal-Wallis tests, chi-squared tests, multiple pairwise comparisons and effect sizes. Basic graphical methods are also illustrated.
St Louis, MO
Proportion Tests in R, T-Tests in R, ANOVA in R, Variance Tests in R, Correlation in R, Simple Regression in R, Multiple Regression in R, Binary Logistic Regression in R, Mann-Whitney Tests in R, Wilcoxon Tests in R, Kruskal-Wallis Tests in R, Chi-Squared Tests in R, Pairwise Comparisons in R, Effect Sizes in R, Basic Graphs in R, Open-Source Software
Math and Computer Science
Applied Statistics | Statistical Methodology | Statistics and Probability
Newton, Elizabeth, "A “How-To” Manual for Doing Standard Statistics in R" (2019). OER Textbooks. 2.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.