Likely you mean to be using favstats. Each of these computes the
mean, standard deviation, quartiles, sample size and number of missing values for a numeric vector,
but favstats can take a formula describing how these summary statistics
should be aggregated across various subsets of the data.
Usage
fav_stats(x, ..., na.rm = TRUE)
Arguments
x
numeric vector
na.rm
boolean indicating whether missing data should be ignored