Tags
- Workspace 1
- Environment 1
- Regression 12
- tTests 4
- Descriptive 7
- ANOVA 12
- Nonparametric 8
- ClassicalNonparametric 8
- RBasics 4
- Matrix 3
- knitr 2
- Jekyll 1
- nanoc 1
- DataFrames 8
- Association 3
- Diagrams 13
- Bootstrapping 4
- GLM 5
- ggplot2 3
- Survival 3
- CoxProportionalHazards 1
- PCA 1
- TimeDate 1
- Root 1
- Vector 1
- Strings 1
- Sets 1
- Combinatorics 2
- MDS 3
- Array 1
- KaplanMeier 1
- PermutationTests 1
- FactorAnalysis 2
- Aggregate 3
- LDA 1
- QDA 1
- Packages 1
- CRAN 1
- WordPress 1
- Multivariate 2
- Arithmetic 1
- Logic 1
- Help 1
- Documentation 1
- GUI 1
- Command line 1
Workspace
Environment
Regression
- Robust and penalized regression
- Analysis of covariance (ANCOVA)
- Multiple linear regression
- Regression diagnostics
- Binary logistic regression
- Crossvalidation and bootstrap prediction error for linear and generalized linear models
- Ordinal regression
- Multinomial regression
- Moderated and mediated linear regression
- Poisson-regression
- Log-linear models
- Multivariate multiple regression
tTests
- Hotelling’s T^2-test
- Assess univariate and multivariate normality
- Variance homogeneity in two or more groups
- t-tests
Descriptive
- Sum, product, and range of data
- Descriptive statistics for data in matrices
- The mean and other location measures
- Frequency tables
- Inter-rater-reliability and Intra-class-correlation
- Variance, robust spread measures, skewness and kurtosis
- Deal with missing data
ANOVA
- Analysis of covariance (ANCOVA)
- Two-way repeated-measures ANOVA (RBF-pq design)
- Mixed-effects models for repeated-measures ANOVA
- One-way ANOVA (CR-p design)
- One-way repeated measures ANOVA (RB-p design)
- Two-way ANOVA (CRF-pq design)
- Sum of squares type I, II, and III
- Assess univariate and multivariate normality
- Three-way split-plot-factorial ANOVA (SPF-pq.r and SPF-p.qr design)
- Multivariate analysis of variance (MANOVA)
- Split-plot-factorial ANOVA (SPF-p.q design)
- Variance homogeneity in two or more groups
Nonparametric
- Runs-test
- Nonparametric location tests for one and two samples
- Stuart-Maxwell-test for marginal homogeneity
- Binomial test and chi^2-test for proportions
- Nonparametric location tests for more than two samples
- Cochran-Q-test
- McNemar-test
- Bowker-test
ClassicalNonparametric
- Runs-test
- Nonparametric location tests for one and two samples
- Stuart-Maxwell-test for marginal homogeneity
- Binomial test and chi^2-test for proportions
- Nonparametric location tests for more than two samples
- Cochran-Q-test
- McNemar-test
- Bowker-test
RBasics
- Generate systematic and random data
- Recode variables
- Factors: Representing categorical data
- Variable transformations
Matrix
knitr
Jekyll
nanoc
DataFrames
- Split and combine data frames
- Choose names, variables, cases - base R
- Choose names, variables, cases - dplyr
- Create and analyze data frames
- Split and combine data frames - dplyr
- Reshape data frames: wide and long format
- Data import and export
- Reshape data frames - tidyr
Association
- Association tests and measures for ordered categorical variables
- Association tests and measures for unordered categorical variables
- Covariance, correlation, association measures for continuous variables
Diagrams
- Linear interpolation, polynomial smoothing, and splines
- Diagram types with the ggplot2 package
- Color, line type, and point shape in ggplot2 diagrams
- Visualize univariate and bivariate distributions
- Scatter plots and line diagrams
- Customize diagrams: Formatting
- Diagrams for multivariate data
- Diagrams for categorical data
- Convex hull, (minimum) bounding box, and minimum enclosing circle
- Graphics devices: Opening and saving diagrams
- Customize diagrams: Add additional elements
- Multiple diagrams per window or device
- Format ggplot2 diagrams
Bootstrapping
- Parametric bootstrapping
- Nonparametric bootstrapping linear models
- Nonparametric bootstrapping
- Nonparametric stratified bootstrapping
GLM
- Binary logistic regression
- Ordinal regression
- Multinomial regression
- Poisson-regression
- Log-linear models
ggplot2
- Diagram types with the ggplot2 package
- Color, line type, and point shape in ggplot2 diagrams
- Format ggplot2 diagrams
Survival
- Survival analysis: Cox proportional hazards model
- Survival analysis: Parametric proportional hazards models
- Survival analysis: Kaplan-Meier
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