agg.wtd.quantile: Aggregated Weighted Quantile

In descriptio: Descriptive Statistical Analysis

Aggregated Weighted Quantile

Description

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

Usage

agg.wtd.quantile(x, by, weights = NULL, prob = 0.5, 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.
prob	a value between 0 and 1. Default is 0.5 (median)
na.rm	logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE.

Value

a data frame

Author(s)

Nicolas Robette

See Also

agg.wtd.mad

Examples

data(Movies)
agg.wtd.quantile(Movies[,c("Critics", "BoxOffice")], by = Movies$Country)

descriptio documentation built on Sept. 9, 2025, 5:51 p.m.