weighted_mean: Weighted Mean, Median, SD, and MAD

In datawizard: Easy Data Wrangling and Statistical Transformations

Weighted Mean, Median, SD, and MAD

Description

Weighted Mean, Median, SD, and MAD

Usage

weighted_mean(x, weights = NULL, remove_na = TRUE, verbose = TRUE, ...)

weighted_median(x, weights = NULL, remove_na = TRUE, verbose = TRUE, ...)

weighted_sd(x, weights = NULL, remove_na = TRUE, verbose = TRUE, ...)

weighted_mad(
  x,
  weights = NULL,
  constant = 1.4826,
  remove_na = TRUE,
  verbose = TRUE,
  ...
)

Arguments

x	an object containing the values whose weighted mean is to be computed.
weights	A numerical vector of weights the same length as x giving the weights to use for elements of x. If weights = NULL, x is passed to the non-weighted function.
remove_na	Logical, if TRUE (default), removes missing (NA) and infinite values from x and weights.
verbose	Show warning when weights are negative?
...	arguments to be passed to or from methods.
constant	scale factor.

Examples

## GPA from Siegel 1994
x <- c(3.7, 3.3, 3.5, 2.8)
wt <- c(5, 5, 4, 1) / 15

weighted_mean(x, wt)
weighted_median(x, wt)

weighted_sd(x, wt)
weighted_mad(x, wt)

datawizard documentation built on Oct. 6, 2024, 1:08 a.m.