weightedMean: Weighted Arithmetic Mean

In matrixStats: Functions that Apply to Rows and Columns of Matrices (and to Vectors)

Weighted Arithmetic Mean

Description

Computes the weighted sample mean of a numeric vector.

Usage

weightedMean(x, w = NULL, idxs = NULL, na.rm = FALSE, refine = FALSE,
  ...)

Arguments

x	An NxK matrix or, if dim. is specified, an N * K vector.
w	a vector of weights the same length as x giving the weights to use for each element of x. Negative weights are treated as zero weights. Default value is equal weight to all values. If a missing-value weight exists, the result is always a missing value.
idxs	A vector indicating subset of elements to operate over. If NULL, no subsetting is done.
na.rm	If TRUE, missing values are excluded.
refine	If TRUE and x is numeric, then extra effort is used to calculate the average with greater numerical precision, otherwise not.
...	Not used.

Value

Returns a numeric scalar. If x is of zero length, then NaN is returned, which is consistent with mean().

Missing values

This function handles missing values consistently with weighted.mean. More precisely, if na.rm = FALSE, then any missing values in either x or w will give result NA_real_. If na.rm = TRUE, then all (x, w) data points for which x is missing are skipped. Note that if both x and w are missing for a data points, then it is also skipped (by the same rule). However, if only w is missing, then the final results will always be NA_real_ regardless of na.rm.

Author(s)

Henrik Bengtsson

See Also

mean() and weighted.mean.

Examples

x <- 1:10
n <- length(x)

w <- rep(1, times = n)
m0 <- weighted.mean(x, w)
m1 <- weightedMean(x, w)
stopifnot(identical(m1, m0))

# Pull the mean towards zero
w[1] <- 5
m0 <- weighted.mean(x, w)
m1 <- weightedMean(x, w)
stopifnot(identical(m1, m0))

# Put even more weight on the zero
w[1] <- 8.5
m0 <- weighted.mean(x, w)
m1 <- weightedMean(x, w)
stopifnot(identical(m1, m0))

# All weight on the first value
w[1] <- Inf
m0 <- weighted.mean(x, w)
m1 <- weightedMean(x, w)
stopifnot(identical(m1, m0))

# All weight on the last value
w[1] <- 1
w[n] <- Inf
m0 <- weighted.mean(x, w)
m1 <- weightedMean(x, w)
stopifnot(identical(m1, m0))

# All weights set to zero
w <- rep(0, times = n)
m0 <- weighted.mean(x, w)
m1 <- weightedMean(x, w)
stopifnot(identical(m1, m0))

matrixStats documentation built on April 12, 2025, 2:18 a.m.