{smcl} {* 3nov2004}{...} {hline} help for {hi:racplot} {hline} {title:Plot residual autocorrelation function} {p 8 17 2}{cmd:racplot} [ {cmd:,} {it:residualtype} {cmdab:rsc:ale(}{it:exp}{cmd:)} {it:ac_options} {cmd:plot(}{it:plot}{cmd:)} ] {title:Description} {p 4 4 2}{cmd:racplot} plots the autocorrelation function of residuals from the last model. Data must have been {cmd:tsset} previously. {p 4 4 2}More precisely, the default is whatever residuals {cmd:predict, residuals} (or, after {cmd:glm}, {cmd:predict, response}) produces after a model. The plot is restricted to the estimation sample. {title:Options} {p 4 8 2}{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 4 8 2}{cmd:rscale(}{it:exp}{cmd:)} specifies a transformed scale for the residuals using Stata syntax and {cmd:X} as a placeholder for the residual variable name. Thus {cmd:rscale(X^2)} specifies squaring; {cmd:rscale(abs(X))} specifies absolute value, to set aside sign; {cmd:rscale(sqrt(abs(X)))} specifies root of absolute value. This option is not obviously helpful, but is included just in case it may be. {p 4 8 2}{it:ac_options} are options of {help ac}. {p 4 8 2}{cmd:plot(}{help plot_option:plot}{cmd:)} provides a way to add other plots to the generated graph; see {help plot_option}. {title:Examples} {p 4 8 2}{cmd:. tsset time}{p_end} {p 4 8 2}{cmd:. regress {it:whatever} time}{p_end} {p 4 8 2}{cmd:. racplot} {title:Author} {p 4 4 2}Nicholas J. Cox, University of Durham, U.K.{break} n.j.cox@durham.ac.uk {title:Also see} {p 4 13 2}On-line: help for {help ac}, {help predict}, {help tsset}, {help modeldiag}