Does what rowMeans() does but without having to cbind the variables. Makes it easier to use with the tidyverse

rowmeans(..., na.rm = FALSE)

Arguments

...

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

na.rm

should the missing values be ignored? default is FALSE

Value

the row means

Examples


if (FALSE) {

library(furniture)
library(tidyverse)

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

data2 <- data %>%
  mutate(y_z_mean = rowmeans(y, z))
data2 <- data %>%
  mutate(y_z_mean = rowmeans(y, z, na.rm=TRUE))

}