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
R basics
Get R!
Introductory topics
Get R!
R project homepage
R Installation and Administration
Download R for
Windows
|
for MacOS X
|
Linux
Most Linux distributions make R available throught their own package management system
Introductory topics
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
Tags
Tag-list
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