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)
... |
the variables (unquoted) to be included in the row means |
n |
the number of values without missingness required to get the row mean |
the row sums
## Not run: 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)) ## End(Not run)
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