View source: R/weighted.quantile.R
| weighted.quantile | R Documentation | 
Computes the weighted quantiles of a distribution.
weighted.quantile(x, weights = NULL, probs = seq(0, 1, 0.25),
                  na.rm = FALSE, names = FALSE)
| x | numeric vector whose sample quantiles are wanted | 
| weights | numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used. | 
| probs | numeric vector of probabilities with values in [0,1] | 
| na.rm | logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE. | 
| names | logical. if TRUE, the result has a names attribute. Default is FALSE. | 
A numeric vector of the same length as probs argument.
This function is taken from https://stackoverflow.com/questions/2748725/is-there-a-weighted-median-function
weighted.mad
data(Movies)
weighted.quantile(Movies$Critics, weights = rep(c(.8,1.2), 500), names = TRUE)
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