age_bandizer_2: Create age bands from a numerical column

In ald0405/SangerTools: Tools for Population Health Management Analytics

Create age bands from a numerical column

Description

An alternative age banding function that allows users greater flexibility for defining band size. This function utilises Base R standard evaluation. The function currently supports band size of 2, 5, 10 & 20. The input,column, Age_col should be numeric and must not contain NAs; if either of these conditions is violated the function will terminate.

Usage

age_bandizer_2(df, Age_col, Age_band_size = 5)

Arguments

df	A dataframe with a numerical column denoting Age.
Age_col	A numerical column within 'df'; passed with quotation marks.
Age_band_size	The size of the Age band to use. Defaults to 5; will take values 2,5,10,20.

Value

A dataframe containing a new column 'Ageband' which has factor levels defined.

Examples

## Not run: 
library(SangerTools)
df <- data.frame(Age = sample(x = 0:120, size = 100, replace = TRUE))
df_agebanded <- age_bandizer_2(
  df = df,
  Age_col = "Age",
  Age_band = 5
)
print(df_agebanded)

## End(Not run)

ald0405/SangerTools documentation built on Feb. 20, 2024, 3:11 p.m.