Tags
- Aggregate 1
- ANOVA 12
- Regression 12
- Arithmetic 1
- Logic 1
- Association 3
- Combinatorics 2
- DataFrames 5
- Diagrams 11
- RBasics 4
- Descriptive 7
- GUI 1
- Command line 1
- Help 1
- Documentation 1
- Multivariate 2
- GLM 5
- Matrix 3
- Array 1
- FactorAnalysis 2
- tTests 4
- LDA 1
- QDA 1
- MDS 1
- PCA 1
- Nonparametric 8
- ClassicalNonparametric 8
- Packages 1
- CRAN 1
- knitr 2
- Jekyll 1
- nanoc 1
- WordPress 1
- Bootstrapping 3
- PermutationTests 1
- Sets 1
- Strings 1
- Survival 3
- CoxProportionalHazards 1
- KaplanMeier 1
- TimeDate 1
- Vector 1
- Workspace 1
- Environment 1
Aggregate
ANOVA
- Analysis of covariance (ANCOVA)
- Two-way ANOVA (CRF-pq design)
- One-way ANOVA (CR-p design)
- Mixed-effects models for repeated-measures ANOVA
- Two-way repeated-measures ANOVA (RBF-pq design)
- One-way repeated measures ANOVA (RB-p design)
- Split-plot-factorial ANOVA (SPF-p.q design)
- Three-way split-plot-factorial ANOVA (SPF-pq.r and SPF-p.qr design)
- Sum of squares type I, II, and III
- Multivariate analysis of variance (MANOVA)
- Assess univariate and multivariate normality
- Variance homogeneity in two or more groups
Regression
- Analysis of covariance (ANCOVA)
- Crossvalidation and bootstrap prediction error for linear and generalized linear models
- Log-linear models
- Multivariate multiple regression
- Multiple linear regression
- Regression diagnostics
- Binary logistic regression
- Moderated and mediated linear regression
- Multinomial regression
- Ordinal regression
- Poisson-regression
- Robust and penalized regression
Arithmetic
Logic
Association
- Association tests and measures for unordered categorical variables
- Association tests and measures for ordered categorical variables
- Covariance, correlation, association measures for continuous variables
Combinatorics
DataFrames
- Create and analyze data frames
- Data import and export
- Reshape data frames: wide and long format
- Split and merge data frames
- Transform data frames
Diagrams
- Customize diagrams: Add additional elements
- Convex hull, (minimum) bounding box, and minimum enclosing circle
- Diagrams for categorical data
- Graphics devices: Opening and saving diagrams
- Visualize univariate and bivariate distributions
- Customize diagrams: Formatting
- Diagrams with the ggplot2 package
- Multiple diagrams per window or device
- Diagrams for multivariate data
- Scatter plots and line diagrams
- Linear interpolation, polynomial smoothing, and splines
RBasics
- Factors: Representing categorical data
- Generate systematic and random data
- Recode variables
- Data transformations
Descriptive
- Frequency tables
- Inter-rater-reliability and Intra-class-correlation
- Descriptive statistics for data in matrices
- The mean and other location measures
- Deal with missing data
- Sum, product, and range of data
- Variance, robust spread measures, skewness and kurtosis
GUI
Command line
Help
Documentation
Multivariate
GLM
- Log-linear models
- Binary logistic regression
- Multinomial regression
- Ordinal regression
- Poisson-regression
Matrix
Array
FactorAnalysis
tTests
- Hotelling’s T^2-test
- Assess univariate and multivariate normality
- t-tests
- Variance homogeneity in two or more groups
LDA
QDA
MDS
PCA
Nonparametric
- Binomial test and chi^2-test for proportions
- Bowker-test
- Cochran-Q-test
- Nonparametric location tests for more than two samples
- McNemar-test
- Runs-test
- Stuart-Maxwell-test for marginal homogeneity
- Nonparametric location tests for one and two samples
ClassicalNonparametric
- Binomial test and chi^2-test for proportions
- Bowker-test
- Cochran-Q-test
- Nonparametric location tests for more than two samples
- McNemar-test
- Runs-test
- Stuart-Maxwell-test for marginal homogeneity
- Nonparametric location tests for one and two samples
Packages
CRAN
knitr
Jekyll
nanoc
WordPress
Bootstrapping
PermutationTests
Sets
Strings
Survival
- Survival analysis: Cox proportional hazards model
- Survival analysis: Kaplan-Meier
- Survival analysis: Parametric proportional hazards models
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