c_sd: c_sd() computes the cluster standard deviation for given...

In dacarras/r4sda: Collection of functions to produce descriptives analysis of secondary data and large scale assessments studies

c_sd() computes the cluster standard deviation for given variable, and a given clustering variable

Description

c_sd() computes the cluster standard deviation for given variable, and a given clustering variable

Usage

c_sd(x, j)

Arguments

x	a numeric vector of a single variable

Details

simple wrapper for 'ave(variable, group)' function, to estimate cluster standard deviations

Value

a numeric vector

Examples

example_data <- data.frame(x = c(1,2,3,4,5,6), j = c(1,1,1,2,2,2))
library(dplyr)
example_data %>%
mutate(cluster_sd =  c_sd(x, j)) %>%
select(x, j) %>%
unique() %>%
print

dacarras/r4sda documentation built on Nov. 9, 2023, 10:17 a.m.