STATISTICS with R
Welcome to Statistics with R
In Statistics with R, I have introduced the most common statistical methods used in social sciences, health sciences, business, and other areas that use applied statistics. All analyses are performed in the R statistical programming language. I have used an intuitive approach to introducing statistical concepts and methods, reserving the mathematical explanations and reasoning to the appendix. Each chapter of the web book includes examples, data, R code to perform the analysis, and the interpretation of the analysis. The complete data sets are available for download in each chapter. Additional data are also available for practice.
Latest Note
Conditional Inference Trees in R for Clinical Risk Stratification
Conditional inference trees (ctrees) implement recursive partitioning using permutation‑based hypothesis tests rather than impurity‑based split…
1 Installing R and R Studio
First Time Installation of R and R Studio
2 Descriptive Statistics
3 Comparing Group: T-tests
4 Comparing Group: Analysis of Variance
One-way Repeated Measures ANOVA
5 Correlations and Associations
Chi-squared Correlation / Association