README.md

tidytab

Create tidyverse-friendly tables of frequencies

R-CMD-check Codecov test
coverage CRAN
status R-universe
status Lifecycle:
experimental

Installation

You can install tidytab from GitHub with:

# install.packages("devtools")
devtools::install_github("gvelasq/tidytab")

Usage

# setup (tidytab automatically exports the magrittr pipe)
library(tidytab)

# one-way table of frequencies
mtcars %>% tab(cyl)
#>         cyl │      Freq.     Percent        Cum. 
#> ────────────┼───────────────────────────────────
#>           4 │         11        34.4        34.4 
#>           6 │          7        21.9        56.3 
#>           8 │         14        43.8       100.0 
#> ────────────┼───────────────────────────────────
#>       Total │         32       100.0           

# two-way table of frequencies (a special 2x2 contingency table)
mtcars %>% tab(cyl, gear)
#>            │      gear                       │           
#>        cyl │         3          4          5 │     Total 
#> ───────────┼─────────────────────────────────┼──────────
#>          4 │         1          8          2 │        11 
#>          6 │         2          4          1 │         7 
#>          8 │        12          0          2 │        14 
#> ───────────┼─────────────────────────────────┼──────────
#>      Total │        15         12          5 │        32

# flat contingency tables of three (or more) variables
mtcars %>% tab(cyl, gear, am)
#>         cyl │       gear          am       Freq.     Percent        Cum. 
#> ────────────┼───────────────────────────────────────────────────────────
#>           4 │          3           0           1         3.1         3.1 
#>           4 │          4           0           2         6.2         9.3 
#>           4 │          4           1           6        18.8        28.1 
#>           4 │          5           1           2         6.2        34.3 
#> ------------┼-----------------------------------------------------------
#>           6 │          3           0           2         6.2        40.5 
#>           6 │          4           0           2         6.2        46.7 
#>           6 │          4           1           2         6.2        52.9 
#>           6 │          5           1           1         3.1        56.0 
#> ------------┼-----------------------------------------------------------
#>           8 │          3           0          12        37.5        93.5 
#>           8 │          5           1           2         6.2        99.7

# tables wider than the R console are automatically wrapped
mtcars %>% tab(cyl, gear, am, vs)
#>         cyl │       gear          am          vs       Freq.     Percent
#> ────────────┼───────────────────────────────────────────────────────────
#>           4 │          3           0           1           1         3.1
#>           4 │          4           0           1           2         6.2
#>           4 │          4           1           1           6        18.8
#>           4 │          5           1           0           1         3.1
#>           4 │          5           1           1           1         3.1
#> ------------┼-----------------------------------------------------------
#>           6 │          3           0           1           2         6.2
#>           6 │          4           0           1           2         6.2
#>           6 │          4           1           0           2         6.2
#>           6 │          5           1           0           1         3.1
#> ------------┼-----------------------------------------------------------
#>           8 │          3           0           0          12        37.5
#>           8 │          5           1           0           2         6.2
#> 
#>         cyl │        Cum.
#> ────────────┼────────────
#>           4 │         3.1
#>           4 │         9.3
#>           4 │        28.1
#>           4 │        31.2
#>           4 │        34.3
#> ------------┼------------
#>           6 │        40.5
#>           6 │        46.7
#>           6 │        52.9
#>           6 │        56.0
#> ------------┼------------
#>           8 │        93.5
#>           8 │        99.7

# missing values are displayed in red
tab(letters[24:27])
#>   letters[24:27] │      Freq.     Percent        Cum. 
#> ─────────────────┼───────────────────────────────────
#>                x │          1        25.0        25.0 
#>                y │          1        25.0        50.0 
#>                z │          1        25.0        75.0 
#>               NA │          1        25.0       100.0 
#> ─────────────────┼───────────────────────────────────
#>            Total │          4       100.0           

# ftab() displays only flat contingency tables (here, with two variables)
mtcars %>% ftab(cyl, gear)
#>         cyl │       gear       Freq.     Percent        Cum. 
#> ────────────┼───────────────────────────────────────────────
#>           4 │          3           1         3.1         3.1 
#>           4 │          4           8        25.0        28.1 
#>           4 │          5           2         6.2        34.3 
#> ------------┼-----------------------------------------------
#>           6 │          3           2         6.2        40.5 
#>           6 │          4           4        12.5        53.0 
#>           6 │          5           1         3.1        56.1 
#> ------------┼-----------------------------------------------
#>           8 │          3          12        37.5        93.6 
#>           8 │          5           2         6.2        99.8

# tab1() displays one-way tables for each variable
mtcars %>% tab1(cyl, gear)
#>         cyl │      Freq.     Percent        Cum. 
#> ────────────┼───────────────────────────────────
#>           4 │         11        34.4        34.4 
#>           6 │          7        21.9        56.3 
#>           8 │         14        43.8       100.0 
#> ────────────┼───────────────────────────────────
#>       Total │         32       100.0            
#> 
#>        gear │      Freq.     Percent        Cum. 
#> ────────────┼───────────────────────────────────
#>           3 │         15        46.9        46.9 
#>           4 │         12        37.5        84.4 
#>           5 │          5        15.6       100.0 
#> ────────────┼───────────────────────────────────
#>       Total │         32       100.0           

# tab2() displays two-way tables for all variable combinations
mtcars %>% tab2(cyl, gear, am)
#>            │      gear                       │           
#>        cyl │         3          4          5 │     Total 
#> ───────────┼─────────────────────────────────┼──────────
#>          4 │         1          8          2 │        11 
#>          6 │         2          4          1 │         7 
#>          8 │        12          0          2 │        14 
#> ───────────┼─────────────────────────────────┼──────────
#>      Total │        15         12          5 │        32 
#> 
#>            │        am            │           
#>        cyl │         0          1 │     Total 
#> ───────────┼──────────────────────┼──────────
#>          4 │         3          8 │        11 
#>          6 │         4          3 │         7 
#>          8 │        12          2 │        14 
#> ───────────┼──────────────────────┼──────────
#>      Total │        19         13 │        32 
#> 
#>            │        am            │           
#>       gear │         0          1 │     Total 
#> ───────────┼──────────────────────┼──────────
#>          3 │        15          0 │        15 
#>          4 │         4          8 │        12 
#>          5 │         0          5 │         5 
#> ───────────┼──────────────────────┼──────────
#>      Total │        19         13 │        32

# ta() is a shortened alias for tab(), inspired by Stata
mtcars %>% ta(gear)
#>        gear │      Freq.     Percent        Cum. 
#> ────────────┼───────────────────────────────────
#>           3 │         15        46.9        46.9 
#>           4 │         12        37.5        84.4 
#>           5 │          5        15.6       100.0 
#> ────────────┼───────────────────────────────────
#>       Total │         32       100.0           

Code of Conduct

Please note that the tidytab project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.



gvelasq/tidytab documentation built on April 16, 2024, 8:33 a.m.