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  33.9mtcars %>% 
  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