Weighting and Weighted Statistics

Documentation for package ‘weights’ version 1.1.1

Help Pages

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