In brad-cannell/meantables: Make Quick Descriptive Tables for Continuous Variables

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

meantables

The goal of meantables is to quickly make tables of descriptive statistics (i.e., counts, means, confidence intervals) for continuous variables. This package is designed to work in a Tidyverse pipeline, and consideration has been given to get results from R to 'Microsoft Word' ® with minimal pain.

Installation

You can install the released version of meantables from CRAN with:

install.packages("meantables")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("brad-cannell/meantables")

Example

library(dplyr)
library(meantables)

data("mtcars")

Overall mean table with defaults

mtcars %>% 
  mean_table(mpg)

Formatting overall mean and 95% CI

mtcars %>%
  mean_table(mpg) %>%
  mean_format(
    recipe = "mean (lcl - ucl)",
    name = "mean_95",
    digits = 1
  ) %>% 
  select(response_var, mean_95)

Formatting grouped means table with mean and sd

mtcars %>%
  group_by(cyl) %>%
  mean_table(mpg) %>%
  mean_format("mean (sd)") %>% 
  select(response_var:group_cat, formatted_stats)

Grouped means table with defaults

mtcars %>% 
  group_by(cyl) %>% 
  mean_table(mpg)

brad-cannell/meantables documentation built on Aug. 5, 2022, 5:17 a.m.