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.
You can install the released version of meantables from CRAN with:
And the development version from GitHub with:
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(meantables)
mtcars %>%
mean_table(mpg)
#> # A tibble: 1 x 8
#> response_var n mean sem lcl ucl min max
#> <chr> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 mpg 32 20.1 1.07 17.9 22.3 10.4 33.9
mtcars %>%
group_by(cyl) %>%
mean_table(mpg)
#> # A tibble: 3 x 10
#> response_var group_var group_cat n mean sem lcl ucl min max
#> <chr> <chr> <dbl> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 mpg cyl 4 11 26.7 1.36 23.6 29.7 21.4 33.9
#> 2 mpg cyl 6 7 19.7 0.549 18.4 21.1 17.8 21.4
#> 3 mpg cyl 8 14 15.1 0.684 13.6 16.6 10.4 19.2