R: Inverse Response Plots to Transform the Response

invResPlot {car}

R Documentation

Inverse Response Plots to Transform the Response

Description

For a lm model, draws an inverse.response plot with the response Y on the vertical axis and the fitted values Yhat on the horizontal axis. Uses nls to estimate lambda in the function Yhat = b0 + b1(Y)^(lambda). Adds the fitted curve to the plot. invResPlot is an alias for inverseResponsePlot.

Usage

inverseResponsePlot(model, lambda=c(-1,0,1), xlab=NULL, ...)

## S3 method for class 'lm'
inverseResponsePlot(model, lambda=c(-1,0,1), xlab=NULL,
   labels=names(residuals(model)), ...)

invResPlot(model, ...)

Arguments

`model`	A `lm` regression object
`lambda`	A vector of values for lambda. A plot will be produced with curves corresponding to these lambdas and to the least squares estimate of lambda
`xlab`	The horizontal axis label. If `NULL`, it is constructed by the function.
`labels`	Case labels if labeling is turned on; see `invTranPlot` and `showLabels` for arguments.
`...`	Other arguments passed to `invTranPlot` and then to `plot`.

Value

As a side effect, a plot is produced with the response on the horizontal axis and fitted values on the vertical axis. Several lines are added to be plot as the ols estimates of the regression of Yhat on Y^(lambda), interpreting lambda = 0 to be natural logarithms.

Numeric output is a list with elements

`lambda`	Estimate of transformation parameter for the response
`RSS`	The residual sum of squares at the minimum

Author(s)

Sanford Weisberg, sandy@stat.umn.edu

References

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

Weisberg, S. (2005) Applied Linear Regression, Third Edition, Wiley, Chapter 7.

Examples

m2 <- lm(rate ~ log(len) + log(ADT) + slim + shld + log(sigs1), Highway1)
invResPlot(m2)

[Package car version 2.0-12 Index]