Analysis and Presentation of Social Scientific Data
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Numbering printing with signed zeroes and trailing zeroes
Adjust observed data for partial residuals plots
Subsetting operators
Center variables in fitted regression models
Mean-center vectors, data frames, and survey designs
Plot simple effects in regression models
Export regression summaries to tables
Get colors for plotting functions
Generalized linear regression summaries with options
Linear regression summaries with options
Retrieve formulas from model objects
Calculate robust standard errors and produce coefficient tables
Broom extensions for summ objects
Add and remove gridlines
Scale and/or center data, including survey designs
Deprecated interaction functions
Mixed effects regression summaries with options
Regression summaries with options
Quantile regression summaries with options
Complex survey regression summaries with options
Color palettes in jtools functions
knitr methods for summ
Make new data for generating predicted data from regression models.
Generate predicted data for plotting results of regression models
Print attractive data frames in the console
Utility functions for generating model predictions
Test whether sampling weights are needed
Plot Regression Summaries
Alternative interface for merMod predictions
Objects exported from other packages
Scale variables in fitted regression models
Set defaults for summ() functions
Standardize vectors, data frames, and survey designs
Calculate Pearson correlations with complex survey data
Calculate standard deviations with complex survey data
Format ggplot2 figures in APA style
A nice, flexible ggplot2 theme
Test whether sampling weights are needed
Test whether sampling weights are needed
cat, message, warning, and stop wrapped to fit the console's w...
Weighted standard deviation calculation
This is a collection of tools for more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Support for models produced by the survey and lme4 packages are points of emphasis.