egen: Categorize a numerical variable

In mStats: Epidemiological Data Analysis

Description

egen() transforms a numeric vector to a factor vector.

Usage

egen(data, var, cut = NULL, lbl = NULL, new_var = NULL)

Arguments

data	data.frame
var	existing variable
cut	either a number or a numeric vector
lbl	labels to specify
new_var	name of new variable to be created

Details

egen allows easy conversion of a numerical variable to a categorical variable.

If only a number is specified in cut, it categorizes into equal intervals based on that number. If no value is set for cut, the default interval is 10.

Automatic naming new variable

If new_var is not specified, new names will be automatically created by appending _cat as suffix. VARNAME`_cat`

Automatic Labelling

If lbl is not specified, labels are constructed in `##-##`.

Value

data.frame

Author(s)

Email: [e-mail]

Website: https://myominnoo.github.io/

Examples

x <- egen(infert, age)
tab(x, age_cat)

## Not run: 
## Set cut-off points
x <- egen(infert, age, c(26, 31, 36, 41))
tab(x, age_cat)

## Add labels and give a new name
x <- egen(infert, age, c(26, 31, 36, 41),
         lbl = c("<= 25", "26 - 30", "31 - 35",
           "36 - 40", "41+"),
         new_var = age_grp)
tab(x, age_grp)

## End(Not run)

mStats documentation built on Nov. 23, 2020, 9:07 a.m.