idx_invcov: Create Inverse Covariance-Weighted Index from Several...

In graemeblair/stdidx: Tools for creating indices of variables

Create Inverse Covariance-Weighted Index from Several Variables

Description

With code by Cyrus Samii, see https://github.com/cdsamii/make_index/blob/master/r/index_comparison.R

Usage

idx_invcov(..., wt, fill_na = TRUE, na.rm = TRUE)

Arguments

...	One or more unquoted variables
fill_na	Option to fill missing values from any variable with linear predictions from all of the other variables. TRUE by default.
na.rm	Option to remove NA's when calculating mean index. TRUE by default.

Value

A vector with the mean index

Examples

var1 <- rnorm(100, mean = 0.5, sd = 0.25)
var2 <- rnorm(100, mean = -1, sd = 0.5)
var3 <- rnorm(100, mean = 1, sd = 1)

idx_invcov(var1, var2, var3)

library(dplyr)

df <- tibble(var1, var2, var3)

mutate(df, idx_var = idx_invcov(var1, var2, var3))

graemeblair/stdidx documentation built on April 19, 2023, 6:48 a.m.