Weighting and Weighted Statistics

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Documentation for package ‘weights’ version 1.1.1

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anes04 Demographic Data From 2004 American National Election Studies (ANES)
coeffer Extract model coefficients with standard errors and significance stars
coeffer.default Extract model coefficients with standard errors and significance stars
coeffer.gam Extract model coefficients with standard errors and significance stars
coeffer.glmerMod Extract model coefficients with standard errors and significance stars
coeffer.glmnet Extract model coefficients with standard errors and significance stars
coeffer.lmerMod Extract model coefficients with standard errors and significance stars
coeffer.multinom Extract model coefficients with standard errors and significance stars
coeffer.polr Extract model coefficients with standard errors and significance stars
dummify Separate a factor into separate dummy variables for each level.
findn Summarize key model information including sample size and fit statistics
findn.default Summarize key model information including sample size and fit statistics
findn.gam Summarize key model information including sample size and fit statistics
findn.glm Summarize key model information including sample size and fit statistics
findn.glmerMod Summarize key model information including sample size and fit statistics
findn.lm Summarize key model information including sample size and fit statistics
findn.lmerMod Summarize key model information including sample size and fit statistics
findn.multinom Summarize key model information including sample size and fit statistics
findn.polr Summarize key model information including sample size and fit statistics
findwtdinteraction Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
findwtdinteraction.default Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
findwtdinteraction.list Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
findwtdinteraction.lmerMod Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
findwtdinteraction.mira Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
findwtdinteraction.multinom Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
nalevs Recode variables to 0-1 scale
onecor.wtd Produces weighted correlations with standard errors and significance. For a faster version without standard errors and p values, use the 'wtd.cors' function.
onetable Create a clean regression summary table from one or more models
plotinteractpreds Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
plotinteractpreds.default Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
plotinteractpreds.interactpreds Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
plotinteractpreds.interactpredsmnl Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
plotwtdinteraction Functions to Identify and Plot Predicted Probabilities As Well As Two- and Three-Way Interactions From Regressions With or Without Weights and Standard Errors
print.findn Summarize key model information including sample size and fit statistics
rd Round Numbers To Text With No Leading Zero
starmaker Produce stars from p values for tables.
stdz Standardizes any numerical vector, with weights.
wpct Provides a weighted table of percentages for any variable.
wtd.anova Weighted one-way ANOVA
wtd.barplot Weighted barplot
wtd.boxplot Weighted boxplot
wtd.chi.sq Produces weighted chi-squared tests.
wtd.cor Produces weighted correlations with standard errors and significance. For a faster version without standard errors and p values, use the 'wtd.cors' function.
wtd.cors Produces weighted correlations quickly using C.
wtd.cov Produces weighted covariances with standard errors and significance.
wtd.hist Weighted Histograms
wtd.median Weighted median
wtd.partial.cor Computes weighted partial correlations, controlling for covariates
wtd.partial.cov Computes weighted partial covariances, controlling for covariates
wtd.quantile Weighted quantiles
wtd.t.test Produces weighted Student's t-tests with standard errors and significance.
wtd.violinplot Draw weighted violin plots by group
wtd.xtab Weighted cross-tabulations using up to three categorical variables