egen: An extension to generate function

In myominnoo/mStats_beta: A tool for data management and statistical analysis

Description

egen transforms a numeric vector to a factor vector.

Usage

egen(
  data = NULL,
  old.var,
  cut = NULL,
  lbl = NULL,
  new.var = NULL,
  na.rm = FALSE
)

## Default S3 method:
egen(
  data = NULL,
  old.var,
  cut = NULL,
  lbl = NULL,
  new.var = NULL,
  na.rm = FALSE
)

## S3 method for class 'data.frame'
egen(
  data = NULL,
  old.var,
  cut = NULL,
  lbl = NULL,
  new.var = NULL,
  na.rm = FALSE
)

Arguments

data	dataframe
old.var	variable to perform cut
cut	either a single number or a numeric vector.
lbl	specify to name the factor levels.
new.var	name of new variable generated
na.rm	A logical value to specify missing values

Details

egen allows easy conversion of a numeric vector to factor.

Cut-off Intervals If the interval is not specified, it is cut at an interval of 10. Otherwise, it is divided into equal cut-off points by specified number.

Labelling If not specified, the labels are constructed in the format: variable name + "." + "cut-off intervals".

Author(s)

Myo Minn Oo (Email: [e-mail] | Website: https://myominnoo.github.io/)

See Also

generate

Examples

## Not run: 
## variable with dataframe
# automatically categorized into interval of 10
infert.new <- egen(infert, age)
str(infert.new)
tab(age.cat, infert.new)

infert.new <- egen(infert, age, c(30, 35, 40))
str(infert.new)
tab(age.cat, infert.new)

infert.new <- egen(infert, age, c(30, 35, 40),
                c("young", "mid", "old", "oldest"))
str(infert.new)
tab(age.cat, infert.new)

# give variable name as age.grp
infert.new <- egen(infert, age, c(30, 35, 40),
                c("young", "mid", "old", "oldest"), age.grp)
str(infert.new)
tab(age.grp, infert.new)

# age.grp duplicates
infert.new1 <- egen(infert.new, age, c(30, 35, 40),
                c("young", "mid", "old", "oldest"), age.grp)

## End(Not run)

myominnoo/mStats_beta documentation built on Feb. 29, 2020, 8:17 a.m.