Package: weights 1.0.4

weights: Weighting and Weighted Statistics

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. Also now includes some software for quickly recoding survey data and plotting estimates from interaction terms in regressions (and multiply imputed regressions) both with and without weights. NOTE: Weighted partial correlation calculations pulled to address a bug.

Authors:Josh Pasek [aut, cre], with some assistance from Alex Tahk and some code modified from R-core; Additional contributions by Gene Culter and Marcus Schwemmle.

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weights.pdf |weights.html✨
weights/json (API)

# Install 'weights' in R:

install.packages('weights', repos = c('https://jmping.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

anes04 - Demographic Data From 2004 American National Election Studies

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.11 score 36 packages 528 scripts 7.5k downloads 3 mentions 22 exports 105 dependencies

Last updated 3 years agofrom:7aaf00b017. Checks:OK: 7 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win-x86_64	NOTE	Oct 27 2024
R-4.5-linux-x86_64	NOTE	Oct 27 2024
R-4.4-win-x86_64	OK	Oct 27 2024
R-4.4-mac-x86_64	OK	Oct 27 2024
R-4.4-mac-aarch64	OK	Oct 27 2024
R-4.3-win-x86_64	OK	Oct 27 2024
R-4.3-mac-x86_64	OK	Oct 27 2024
R-4.3-mac-aarch64	OK	Oct 27 2024

Exports:dummify findwtdinteraction findwtdinteraction.default findwtdinteraction.list findwtdinteraction.lmerMod findwtdinteraction.mira findwtdinteraction.multinom nalevs plotinteractpreds plotinteractpreds.default plotinteractpreds.interactpreds plotinteractpreds.interactpredsmnl plotwtdinteraction rd starmaker stdz wpct wtd.chi.sq wtd.cor wtd.cors wtd.hist wtd.t.test

Dependencies:backports base64enc bit bit64 boot broom bslib cachem checkmate cli clipr cluster codetools colorspace cpp11 crayon data.table digest dplyr evaluate fansi farver fastmap fontawesome forcats foreach foreign Formula fs gdata generics ggplot2 glmnet glue gridExtra gtable gtools haven highr Hmisc hms htmlTable htmltools htmlwidgets isoband iterators jomo jquerylib jsonlite knitr labeling lattice lifecycle lme4 magrittr MASS Matrix memoise mgcv mice mime minqa mitml munsell nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig prettyunits progress purrr R6 rappdirs RColorBrewer Rcpp RcppEigen readr rlang rmarkdown rpart rstudioapi sass scales shape stringi stringr survival tibble tidyr tidyselect tinytex tzdb ucminf utf8 vctrs viridis viridisLite vroom withr xfun yaml

Help page	Topics
Demographic Data From 2004 American National Election Studies (ANES)	anes04
Separate a factor into separate dummy variables for each level.	dummify
Recode variables to 0-1 scale	nalevs
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 findwtdinteraction.default findwtdinteraction.list findwtdinteraction.lmerMod findwtdinteraction.mira findwtdinteraction.multinom plotinteractpreds plotinteractpreds.default plotinteractpreds.interactpreds plotinteractpreds.interactpredsmnl plotwtdinteraction
Round Numbers To Text With No Leading Zero	rd
Produce stars from p values for tables.	starmaker
Standardizes any numerical vector, with weights.	stdz
Provides a weighted table of percentages for any variable.	wpct
Produces weighted chi-squared tests.	wtd.chi.sq
Produces weighted correlations with standard errors and significance. For a faster version without standard errors and p values, use the 'wtd.cors' function.	onecor.wtd wtd.cor
Produces weighted correlations quickly using C.	wtd.cors
Weighted Histograms	wtd.hist
Produces weighted Student's t-tests with standard errors and significance.	wtd.t.test

Package: weights 1.0.4

weights: Weighting and Weighted Statistics

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