tabit_1: tabit_1

In tabit: Simple Tabulation Made Simple

Description

Function to do frequency tables for single vectors or to do multiple frequency tabulations one for each column.

Usage

tabit_1(x, sort = 1, digits = 2, ...)

## S3 method for class 'data.frame'
tabit_1(x, sort = 1, digits = 2, ..., as_df = TRUE)

## S3 method for class 'list'
tabit_1(x, sort = 1, digits = 2, ..., as_df = TRUE)

## Default S3 method:
tabit_1(
  x,
  sort = 1,
  digits = 2,
  useNA = "always",
  pct = TRUE,
  na_to_char = TRUE,
  ...
)

Arguments

x	the thing to be tabulated
sort	should
digits	the number of digits to round percentages to
...	further optional arguments passed through to methods
as_df	if more than one vector has been tabulated at once, should the results be combined into a data.frame before returning
useNA	how to handle NAs, defaults to "always" to always include NA as category
pct	add percentage columns
na_to_char	transform NA values to "NA" character string or not, defaults to TRUE

Value

Returns a data frame with columns .variable (the variable the values stem from), .value (the values tabulated by), .count (the number of times a value occurred), .pct (the percentage that value occurred excluding NAs) and .pct_incl_na (the percentage that value occurred including NAs)

Examples

tabit_1(mtcars$cyl)
##   .variable .value .count     .pct  pct_incl_na
## 3         .      8     14    43.75        43.75
## 1         .      4     11    34.38        34.38
## 2         .      6      7    21.88        21.88
## 4         .     NA      0       NA         0.00



tabit_1(mtcars[, c("cyl", "am")])
##   .variable .value .count   .pct  .pct_incl_na
## 1       cyl      8     14  43.75         43.75
## 2       cyl      4     11  34.38         34.38
## 3       cyl      6      7  21.88         21.88
## 4       cyl     NA      0     NA          0.00
## 5        am      0     19  59.38         59.38
## 6        am      1     13  40.62         40.62
## 7        am     NA      0     NA          0.00

tabit documentation built on March 31, 2020, 5:20 p.m.