{smcl}
{* 13sept2002/2apr2003}{...}
{hline}
help for {hi:rvpplot27}
{hline}
{title:Graph residual-versus-predictor plot after regression-type command}
{p 8 16}{cmd:rvpplot27}
{it:varname}
[{cmd:,} {it:residualtype}
{cmd:force}
{cmdab:sc:ale(}{it:exp}{cmd:)}
{cmd:ksm(}{it:ksm_options}{cmd:)}
{it:graph_options}]
{p}{cmd:rvpplot27} is for use after {cmd:regress} and similar commands; see help
on the command of interest. It is a generalisation of official Stata's
{cmd:rvpplot}, except for different defaults for the {cmd:l1title()} option.
{title:Description}
{p}{cmd:rvpplot27} graphs a residual-versus-predictor plot
(a.k.a. independent variable plot, a.k.a. carrier plot), a graph of
the residuals versus the specified predictor {it:varname}
from the last regression-type model. The residuals are, by default,
those calculated by {cmd:predict, residuals} or (if the previous estimation
command was {cmd:glm}) by {cmd: predict, response}.
This is a clone of {cmd:rvpplot2} 1.0.0 for users of Stata 7.
Users of Stata 8 should use {cmd:rvpplot2} 2.0.0 or later.
{title:Options}
{p 0 4}{it:residualtype} specifies a type of residual other than the default.
The following types are currently supported: {cmdab:a:nscombe},
{cmdab:d:eviance}, {cmdab:l:ikelihood}, {cmdab:p:earson}, {cmdab:r:esiduals},
{cmdab:resp:onse}, {cmdab:rsta:ndard}, {cmdab:rstu:dent}, {cmdab:s:core},
{cmdab:w:orking}.
{p 0 4}{cmd:force} allows you to specify a predictor variable
not included in the previous model.
{p 0 4}{cmd:scale(}{it:exp}{cmd:)} specifies a transformed scale on which to
show the residuals using Stata syntax and {cmd:X} as a placeholder for the
residual variable name. Thus {cmd:scale(X^2)} specifies squaring, to show relative
contribution to residual variance; {cmd:scale(abs(X))} specifies absolute
value, to set aside sign; {cmd:scale(sqrt(abs(X)))} specifies root of absolute
value, a useful scale on which to check for heteroscedasticity.
{p 0 4}{cmd:ksm(}{it:ksm_options}{cmd:)} specifies that the residuals will be
smoothed as a function of the predictor using {cmd:ksm} with the options named.
{p 0 4}{it:graph_options} are any of the options allowed with
{cmd:graph, twoway}. See help on {help grtwoway}.
{title:Examples}
{p 8 12}{inp:. reg width length}{p_end}
{inp:. rvpplot27 length}
{p 8 12}{inp:. glm price weight, link(log)}{p_end}
{inp:. rvpplot27 weight, anscombe yli(0)}
{title:Author}
Nicholas J. Cox, University of Durham, U.K.
n.j.cox@durham.ac.uk
{title:Acknowledgements}
Kit Baum identified an error in a previous version of this help.
{title:Also see}
{p 1 10}Manual: {hi:[R] regression diagnostics}{p_end}
{p 0 19}On-line: help for {help graph}, {help regdiag}; {help predict}
{p_end}