Title

A “How-To” Manual for Doing Standard Statistics in R

Authors

Elizabeth Newton, Fontbonne UniversityFollow

Files

Description

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.

Publication Date

10-2019

Publisher

Fontbonne University

City

St Louis, MO

Keywords

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

Disciplines

Applied Statistics | Statistical Methodology | Statistics and Probability

Department

Math and Computer Science

Comments

The data files included here all have a file extension of: .txt

R works with data files that have been created in a text editor, and that is the reason for the specific extension. These were created in Notepad. If you want to open the files outside of R for any reason, such as to review them or to copy/paste their contents into a spreadsheet, you will need to use Notepad or some equivalent text editor to do that.

Recommended Citation

Newton, Elizabeth, "A “How-To” Manual for Doing Standard Statistics in R" (2019). OER Textbooks. 2.
https://griffinshare.fontbonne.edu/oer-books/2

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.