@title Calculate the grouped mean

Calculate mean for grouped data using frequency, either percent or counts. The function will split each character element in x and find the midpoint of its lower and upper bounds.

Usage

grouped.mean(x, freq, freq_format = "count", na.rm = FALSE)

Arguments

x

character vector of categories or ranges

freq

numeric vector containing category counts or percentages

freq_format

intended freq format. Use percent if you want freq converted to percent

na.rm

remove NA from calculations

Value

a numeric vector of length 1L

Examples

age <- c("0-4","5-9","10-14",
         "15-19","20-24",
         "25-29","30-34",
         "35-39","40-44",
         "45-49","50-54",
         "55-59","60-64",
         "65-69","70-74",
         "75-79","80-84",
         "85-89")

freq <- seq(5400, 300, by = -300)
grouped.mean(age,freq, freq_format = "percent")
#> [1] 30.33333