RExRepos

R Basics
Overview
R user interfaces Getting help and documentation Exploring the workspace Add-on packages Arithmetic and logic Vectors Generate systematic and random data Variable transformations Recode variables Factors Sets Combinatorics Matrices Character strings Time and date
Descriptive
Overview
Sum, product, and range of data The mean and other location measures Variance, robust spread measures, skewness, and kurtosis Covariance, correlation, association for continuous variables Descriptive statistics for data in matrices Frequency tables Association for unordered categorical variables Association for ordered categorical variables Inter-rater-reliability and intra-class-correlation Aggregate data vectors by group Deal with missing data
Data Frames
Overview
Create and analyze data frames Data import and export
Data wrangling base R
Choose names, variables, cases Split and combine data frames Reshape data frames Aggregate data frames
Data wrangling dplyr tidyr
Choose names, variables, cases Split and combine data frames Reshape data frames Aggregate data frames
Univariate
Overview

Regression Models
Multiple linear regression Robust and penalized regression Moderation and mediation Logistic regression Ordinal regression Multinomial regression Poisson regression Log-linear models Regression diagnostics Crossvalidation
Survival analysis
Kaplan-Meier-estimate Cox proportional hazards Parametric proportional hazards
t Tests
t-tests
ANOVA
One-way ANOVA Two-way ANOVA Analysis of covariance One-way repeated-measures ANOVA Two-way repeated-measures ANOVA Two-way split-plot ANOVA Three-way split-plot ANOVA Mixed effects models Sum of squares type I, II, and III
General Topics
Assess normality Assess variance homogeneity
Nonparametric
Overview

Classical nonparametric tests
Location 1,2 groups (Sign, Wilcoxon signed-rank, Wilcoxon-Mann-Whitney) Location 3+ groups (Kruskal-Wallis, linear-by-linear, Friedman, Page) Binomial and chi^2 for proportions Runs Association for unordered categorical variables Association for ordered categorical variables Cochran-Q Bowker McNemar Stuart-Maxwell for marginal homogeneity
Resampling methods
Permutation tests Nonparametric bootstrapping Stratified nonparametric bootstrapping Nonparametric bootstrapping linear models Parametric bootstrapping
Multivariate
Overview
Linear algebra calculations Principal components analysis Factor analysis Factor analysis for ordinal data Multidimensional scaling Multivariate multiple regression Hotelling's T^2-test Multivariate analysis of variance Linear discriminant analysis Assess multivariate normality
Diagrams
Overview

Diagram basics
Graphics devices Scatter plots and line diagrams Customize diagrams: Formatting Customize diagrams: Add elements
Specific diagrams
Diagrams for categorical data Visualize univariate and bivariate distributions Diagrams for multivariate data Convex hull, (minimum) bounding box, minimum enclosing ellipse, and minimum enclosing circle Linear interpolation, polynomial smoothing, and splines Multiple diagrams per graphics device
Diagrams ggplot2
Diagram types with the ggplot2 package Color, line type, and point shape in ggplot2 diagrams Format ggplot2 diagrams
Numerical
Overview
Root finding Numerical integration and differentiation Numerical optimization

Workflow
Overview
Build websites with R and nanoc or Jekyll Build websites with R and WordPress

Nonparametric and resampling methods

Classical nonparametric tests
Location 1,2 groups (Sign, Wilcoxon signed-rank, Wilcoxon-Mann-Whitney)
Location 3+ groups (Kruskal-Wallis, linear-by-linear, Friedman, Page)
Binomial and chi^2 for proportions
Runs
Association for unordered categorical variables
Association for ordered categorical variables
Cochran-Q
Bowker
McNemar
Stuart-Maxwell for marginal homogeneity
Resampling methods
Permutation tests
Nonparametric bootstrapping
Stratified nonparametric bootstrapping
Nonparametric bootstrapping linear models
Parametric bootstrapping

Tags
Tag-list