weighted.median

0th

Percentile

Weighted Median, Quantiles or Variance

Compute the median, quantiles or variance of a set of numbers which have weights associated with them.

Keywords
math
Usage
weighted.median(x, w, na.rm = TRUE)

weighted.quantile(x, w, probs=seq(0,1,0.25), na.rm = TRUE)

weighted.var(x, w, na.rm = TRUE)

Arguments
x

Data values. A vector of numeric values, for which the median or quantiles are required.

w

Weights. A vector of nonnegative numbers, of the same length as x.

probs

Probabilities for which the quantiles should be computed. A numeric vector of values between 0 and 1.

na.rm

Logical. Whether to ignore NA values.

Details

The ith observation x[i] is treated as having a weight proportional to w[i].

The weighted median is a value m such that the total weight of data to the left of m is equal to half the total weight. If there is no such value, linear interpolation is performed.

Value

A numeric value or vector.

See Also

quantile, median.

Aliases
  • weighted.median
  • weighted.quantile
  • weighted.var
Examples
# NOT RUN {
  x <- 1:20
  w <- runif(20)
  weighted.median(x, w)
  weighted.quantile(x, w)
  weighted.var(x, w)
# }
Documentation reproduced from package spatstat, version 1.52-1, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.