Summary statistics for a quantitative variable

Source: R/dstats.r

This function provides descriptive statistics for a quantitative variable alone or seperately by groups. You can provide user-defined statistics.

dstats(data, x, ...)

Arguments

data

data frame
x

numeric variable in data (unquoted)
...

list of grouping variables
statistics

statistics to calculate (any function that produces a value), Default: c("n", "mean", "sd")
na.rm

if TRUE, delete cases with missing values on x and or grouping variables, Default: TRUE
digits

number of decimal digits to print, Default: 2

Value

a data frame, where columns are grouping variables (optional) and statistics

Examples

# If no keyword arguments are provided, default values are used
dstats(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
dstats(mtcars, mpg)

#>    n  mean   sd
#> 1 32 20.09 6.03

dstats(mtcars, mpg, am, gear, cyl, carb)

#>    am gear cyl carb n  mean   sd
#> 1   0    3   4    1 1 21.50   NA
#> 2   0    3   6    1 2 19.75 2.33
#> 3   0    3   8    2 4 17.15 2.09
#> 4   0    3   8    3 3 16.30 1.05
#> 5   0    3   8    4 5 12.62 2.09
#> 6   0    4   4    2 2 23.60 1.13
#> 7   0    4   6    4 2 18.50 0.99
#> 8   1    4   4    1 4 29.10 5.06
#> 9   1    4   4    2 2 25.90 6.36
#> 10  1    4   6    4 2 21.00 0.00
#> 11  1    5   4    2 2 28.20 3.11
#> 12  1    5   6    6 1 19.70   NA
#> 13  1    5   8    4 1 15.80   NA
#> 14  1    5   8    8 1 15.00   NA

# You can input user-defined functions
# my_n <- function(xs) length(xs)
# dstats(mtcars, mpg, stats = c("my_n"), am, gear)