This function provides descriptive statistics for a quantitative variable alone or separately by groups. Any function that returns a single numeric value can bue used.
qstats(data, x, ..., stats = c("n", "mean", "sd"), na.rm = TRUE, digits = 2)data frame
numeric variable in data (unquoted)
list of grouping variables
statistics to calculate (any function that produces a
numeric value), Default: c("n", "mean", "sd")
if TRUE, delete cases with missing values on x and or grouping
variables, Default: TRUE
number of decimal digits to print, Default: 2
a data frame, where columns are grouping variables (optional) and statistics
# If no keyword arguments are provided, default values are used
qstats(mtcars, mpg, am, gear)
#> am gear n mean sd
#> 1 0 3 15 16.11 3.37
#> 2 0 4 4 21.05 3.07
#> 3 1 4 8 26.27 5.41
#> 4 1 5 5 21.38 6.66
# You can supply as many (or no) grouping variables as needed
qstats(mtcars, mpg)
#> n mean sd
#> 1 32 20.09 6.03
qstats(mtcars, mpg, am, cyl)
#> am cyl n mean sd
#> 1 0 4 3 22.90 1.45
#> 2 0 6 4 19.12 1.63
#> 3 0 8 12 15.05 2.77
#> 4 1 4 8 28.08 4.48
#> 5 1 6 3 20.57 0.75
#> 6 1 8 2 15.40 0.57
# You can specify your own functions (e.g., median,
# median absolute deviation, minimum, maximum))
qstats(mtcars, mpg, am, gear,
stats = c("median", "mad", "min", "max"))
#> am gear median mad min max
#> 1 0 3 15.50 3.26 10.4 21.5
#> 2 0 4 21.00 3.71 17.8 24.4
#> 3 1 4 25.05 6.00 21.0 33.9
#> 4 1 5 19.70 6.97 15.0 30.4