Weighting and Weighted Statistics
Extract model coefficients with standard errors and significance stars
Separate a factor into separate dummy variables for each level.
Summarize key model information including sample size and fit statisti...
Recode variables to 0-1 scale
Create a clean regression summary table from one or more models
Functions to Identify and Plot Predicted Probabilities As Well As Two-...
Round Numbers To Text With No Leading Zero
Produce stars from p values for tables.
Standardizes any numerical vector, with weights.
Provides a weighted table of percentages for any variable.
Weighted one-way ANOVA
Weighted barplot
Weighted boxplot
Produces weighted chi-squared tests.
Produces weighted correlations with standard errors and significance. ...
Produces weighted correlations quickly using C.
Produces weighted covariances with standard errors and significance.
Weighted Histograms
Weighted median
Computes weighted partial correlations, controlling for covariates
Computes weighted partial covariances, controlling for covariates
Produces weighted Student's t-tests with standard errors and significa...
Draw weighted violin plots by group
Weighted cross-tabulations using up to three categorical variables
Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests as well as simple weighting graphics including weighted histograms, box plots, bar plots, and violin plots. Also includes software for quickly recoding survey data and plotting estimates from interaction terms in regressions (and multiply imputed regressions) both with and without weights and summarizing various types of regressions. Some portions of this package were assisted by AI-generated suggestions using OpenAI's GPT model, with human review and integration.