# weighted.residuals

0th

Percentile

##### Compute Weighted Residuals

Computed weighted residuals from a linear model fit.

Keywords
regression
##### Usage
weighted.residuals(obj, drop0 = TRUE)
##### Arguments
obj

R object, typically of class lm or glm.

drop0

logical. If TRUE, drop all cases with weights == 0.

##### Details

Weighted residuals are based on the deviance residuals, which for a lm fit are the raw residuals $R_i$ multiplied by $\sqrt{w_i}$, where $w_i$ 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.

residuals, lm.influence, etc.

##### Aliases
• weighted.residuals
##### Examples
library(stats) # NOT RUN { ## following on from example(lm) # } # NOT RUN { 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) # } 
Documentation reproduced from package stats, version 3.6.0, License: Part of R 3.6.0

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