Some favorite statistical summaries
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.
fav_stats(x, ..., na.rm = TRUE, type = 7)
x |
numeric vector |
... |
additional arguments (currently ignored) |
na.rm |
boolean indicating whether missing data should be ignored |
type |
an integer between 1 and 9 selecting one of the nine quantile algorithms detailed
in the documentation for |
A vector of statistical summaries
fav_stats(1:10) fav_stats(faithful$eruptions) data(penguins, package = "palmerpenguins") # Note: this is favstats() rather than fav_stats() favstats(bill_length_mm ~ species, data = penguins)
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