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

# NOT RUN { 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)) # }