R: Weighting and Weighted Statistics

# Weighting and Weighted Statistics

## Documentation for package ‘weights’ version 1.1.2

- DESCRIPTION file
- Package NEWS

## 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.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