lhd_rowMean: Calculates row missing with means coded to NA based on number...
In JECheadle/RLifeHD: LifeHD R Library

Description Usage Arguments Value Examples

View source: R/lhd_rowMean.R

Calculates row missing with means coded to NA based on number of missing variables.

1	lhd_rowMean(data, newvar, vars, num_miss)

`data`	the tibble or data.frame.
`newvar`	is the name of the new variable.
`vars`	is the vector of variable names that will be used to calculate the row mean.
`num_miss`	is the number of missing that will be used to determine if the row mean should be missing. It is expressed as `>=`. Therefore, if `num_miss == 2`, the variable would be coded to `NA` if 2 or more variables in the list are missing.

The tibble or data.frame with the row mean and the number of missing across the variable list.

library(RLifeHD)
library(tidyverse)
master <- tibble(x = c(1:5, NA,NA), y = c(1,2,3,4,NA, NA,7))
master
vars <- c("x", "y")
master <- lhd_rowMean(master, my_row_mean, vars, 1)
master