Basic statistics with R – a beginner’s guide

This e-book is a plain PDF document (118 pages) where you can copy-paste the R code. It is a simple tutorial for beginners in R and statistics. The book focuses on practical simple examples in R, whereas links to my YouTube videos are used to explain the theory behind the statistical tests. This book also includes links to two unpublished YouTube videos that introduce the use of R. The book covers how to compute the following statistical tests in R: Shapiro-Wilk normality test, Levene’s test, Confidence intervals, One-sample t-test, Unpaired t-test, Paired sample t-test, Chi-square test, Chi-square goodness of fit test, McNemar test, One-way ANOVA, basic Post-hoc tests, Repeated-measures ANOVA, One-sample Wilcoxon signed-rank test, Mann-Whitney U test, Wilcoxon signed-rank test, Sign test, Kruskal-Wallis test, Friedman’s test, Pearson’s correlation, Spearman's correlation and Simple linear regression. In addition, the book explains how to install and use the basics in R, as well as some basic descriptive statistics and plotting.