Aggregated Weighted MAD — agg.wtd.mad • descriptio

Splits the data into subsets (according to the levels of a factor) and computes the weighted MAD for each

agg.wtd.mad(x, by, weights = NULL, na.rm = FALSE)

Arguments

x: numeric vector or data frame of numeric vectors
by: factor used to split the data
weights: numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.
na.rm: logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE.

Value

a data frame

Author

Nicolas Robette

See also

agg.wtd.quantile

Examples

data(Movies)
agg.wtd.mad(Movies[,c("Critics", "BoxOffice")], by = Movies$Country)
#>          Critics BoxOffice
#> Europe 0.5000000  104606.5
#> France 0.6000000   54425.0
#> Other  0.6000000   37068.5
#> USA    0.6666667  274892.0