Package: GimmeMyStats 1.0.0

GimmeMyStats: Statistics Utilities

Facilitate reporting for regression and correlation modeling, hypothesis testing, variance analysis, outlier detection, and detailed descriptive statistics.

Authors:Etienne Camenen [aut, cre]

GimmeMyStats_1.0.0.tar.gz
GimmeMyStats_1.0.0.zip(r-4.7)GimmeMyStats_1.0.0.zip(r-4.6)GimmeMyStats_1.0.0.zip(r-4.5)
GimmeMyStats_1.0.0.tgz(r-4.6-any)GimmeMyStats_1.0.0.tgz(r-4.5-any)
GimmeMyStats_1.0.0.tar.gz(r-4.7-any)GimmeMyStats_1.0.0.tar.gz(r-4.6-any)
GimmeMyStats_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GimmeMyStats/json (API)

# Install 'GimmeMyStats' in R:

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

Bug tracker:https://github.com/ecamenen/gimmemystats/issues

Pkgdown/docs site:https://ecamenen.github.io

Datasets:

housetasks - Household tasks distribution by gender and arrangement

On CRAN:

4.00 score 196 downloads 14 exports 142 dependencies

Last updated from:0f40518186. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	199
source / vignettes	OK	230
linux-release-x86_64	OK	213
macos-release-arm64	OK	229
macos-oldrel-arm64	OK	149
windows-devel	OK	126
windows-release	OK	125
windows-oldrel	OK	136
wasm-release	OK	149

Exports:add_significance0 count_category identify_outliers mcor_test post_hoc_chi2 print_binomial print_chi2_test print_dispersion print_multinomial print_numeric print_test summary_binomial summary_numeric to_title

Dependencies:abind askpass backports base64enc bit bit64 blob boot broom bslib cachem callr car carData cellranger class cli clipr colorspace conflicted corrplot cowplot cpp11 crayon curl data.table DBI dbplyr Deriv digest doBy dplyr dtplyr e1071 evaluate farver fastmap fontawesome forcats forecast Formula fracdiff fs gargle generics ggplot2 glue googledrive googlesheets4 gtable haven highr hms htmltools httr ids isoband jquerylib jsonlite knitr labeling lattice lifecycle lme4 lmerTest lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr nlme nloptr nnet numDeriv openssl pbkrtest pillar pkgconfig prettyunits processx progress proxy ps purrr quantreg R6 ragg rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr readxl reformulas rematch rematch2 reprex rlang rmarkdown rstatix rstudioapi rvest S7 sass scales selectr SparseM stringi stringr survival sys systemfonts textshaping tibble tidyr tidyselect tidyverse timechange timeDate tinytex tzdb urca utf8 uuid vctrs viridisLite vroom withr xfun xml2 yaml zoo

Getting started

Rendered fromgetting_started.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2026-03-10
Started: 2025-06-21

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add P-value Significance Symbols	add_significance0
Frequency of categorical variables	count_category
Household tasks distribution by gender and arrangement	housetasks
Identifies outliers in a numeric vector	identify_outliers
Multiple correlation test	mcor_test
Performs post hoc analysis for chi-squared or Fisher's exact test	post_hoc_chi2
Prints descriptive statistics for binomial variables	print_binomial
Prints the results of a Chi2	print_chi2_test
Prints the dispersion of a numeric vector	print_dispersion
Prints descriptive statistics for multinomial variables	print_multinomial
Prints descriptive statistics for numeric variables	print_numeric
Prints a hypothesis test	print_test
Summarizes descriptive statistics for binomial variables	summary_binomial
Summarizes descriptive statistics for numeric variables	summary_numeric
Convert Strings to Title Case	to_title