weighted.residuals {stats} | R Documentation |

## Compute Weighted Residuals

### Description

Computed weighted residuals from a linear model fit.

### 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 *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

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)

[Package

*stats* version 2.2.1

Index]