knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
profilr
quickly and easily profiles data using common descriptive statistics.
You can install the latest development version from CRAN:
install.packages("profilr") ```` Or from GitHub with: ```R if (packageVersion("devtools") < 1.6) { install.packages("devtools") } devtools::install_github("paulhendricks/profilr")
If you encounter a clear bug, please file a minimal reproducible example on GitHub.
library(dplyr, warn.conflicts = FALSE) library(profilr) mtcars %>% profile mtcars %>% group_by(cyl) %>% do(profile(.))
To cite package ‘profilr’ in publications use:
Paul Hendricks (2015). profilr: Quickly Profile Data in R. R package version 0.1.0. https://CRAN.R-project.org/package=profilr
A BibTeX entry for LaTeX users is
@Manual{, title = {profilr: Quickly Profile Data in R}, author = {Paul Hendricks}, year = {2015}, note = {R package version 0.1.0}, url = {https://CRAN.R-project.org/package=profilr}, }
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