X.residuals

From HH v2.1-23 by Richard Heiberger

Residuals from the regression of each column of a data.frame against all the other columns.

Calculate the residuals from the regression of each column of a data.frame against all the other columns.

Keywords: regression

Usage

X.residuals(x, ...)

## S3 method for class 'default':
X.residuals(x, y.name, na.action = na.exclude, ...) ## x is a data.frame

## S3 method for class 'formula':
X.residuals(x, data, na.action = na.exclude, ...)   ## x is a formula

## S3 method for class 'lm':
X.residuals(x, na.action = na.exclude, ...)  ## x is a "lm" object computed with x=TRUE

Arguments

x: data.frame, or formula, or lm object computed with x=TRUE.
na.action: See na.action.
...: additional arguments.
y.name: Name of Y-variable to be excluded from the computations.
data: A data frame in which the variables specified in the formula will be found. If missing, the variables are searched for in the standard way.

Value

Data.frame of residuals, one column from each regression.

References

Heiberger, Richard~M. and Holland, Burt (2004b). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics. Springer. ISBN 0-387-40270-5.

Examples

usair <- read.table(hh("datasets/usair.dat"),                    
                    col.names=c("SO2","temp","mfgfirms","popn",
                                "wind","precip","raindays"))
usair$lnSO2 <- log(usair$SO2)
usair$lnmfg <- log(usair$mfgfirms)
usair$lnpopn <- log(usair$popn)

usair.lm <- lm(lnSO2 ~ temp + lnmfg + wind + precip, data=usair, x=TRUE)

X.residuals(usair.lm)  ## the lm object must be computed with x=TRUE

X.residuals(lnSO2 ~ temp + lnmfg + wind + precip, data=usair)

X.residuals(usair)

X.residuals(usair, y.name="lnSO2")

Documentation reproduced from package HH, version 2.1-23, License: GPL (>= 2)

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