Get Row Sums With N Missing Values Per Row

Does what furniture::rowsums() does while allowing a certain number (n) to have missing values.

rowsums.n(..., n)

Arguments

...

the variables (unquoted) to be included in the row means

n

the number of values without missingness required to get the row mean

Value

the row sums

Examples

if (FALSE) {

library(furniture)
library(dplyr)

data <- data.frame(
  x = sample(c(1,2,3,4), 100, replace=TRUE),
  y = rnorm(100),
  z = rnorm(100)
)

data2 <- mutate(data, x_y_z_mean = rowsums.n(x, y, z, n = 2))

}