In MaximeWack/desctable: Produce Descriptive and Comparative Tables Easily

knitr::opts_chunk$set(message = F, warning = F)

Warning to existing users
This version introduces a new API that should make the creation of tables more flexible.
The old API is still present but in a deprecated mode.
See the roadmap below, and the website for the new usage.
Suggestions about this change are welcome !

Introduction

Desctable aims to be a simple and expressive interface to building statistical tables in R.

Installation

Install from CRAN with

install.packages("desctable")

or install the development version from github with

devtools::install_github("desctable/desctable")

Basic usage

Load the package

library(desctable)

Simply apply desc_table on a dataframe or a grouped dataframe to get a statistical table

iris %>%
  desc_table()

Declare the statistics you want to see, and give them the name of your choice

iris %>%
  desc_table("N" = length,
             "%" = percent,
             mean,
             sd)

Create comparative tables, compute statistical tests and output to pander for crisp markdown rendering!

mtcars %>%
  dplyr::mutate(cyl = factor(cyl),
                vs = factor(vs, labels = c("V-shaped", "straight")),
                am = factor(am, labels = c("automatic", "manual"))) %>%
  group_by(am) %>%
  desc_table(N = length,
             "%" = percent,
             "Median" = median,
             IQR) %>%
  desc_tests(vs = ~chisq.test) %>%
  desc_output("pander")