Compute Weighted Residuals

Description

Computed weighted residuals from a linear model fit.

Usage

weighted.residuals(obj, drop0 = TRUE)

Arguments

Details

Weighted residuals are based on the deviance residuals, which for a lm fit are the raw residuals Ri multiplied by wi^0.5, where wi are the weights as specified in lm's call.

Dropping cases with weights zero is compatible with influence and related functions.

Value

Numeric vector of length n', where n' is the number of of non-0 weights (drop0 = TRUE) or the number of observations, otherwise.

See Also

residuals, lm.influence, etc.

Examples

## following on from example(lm)

all.equal(weighted.residuals(lm.D9),
          residuals(lm.D9))
x <- 1:10
w <- 0:9
y <- rnorm(x)
weighted.residuals(lmxy <- lm(y ~ x, weights = w))
weighted.residuals(lmxy, drop0 = FALSE)