resvsindex([varNo,] [usehii:T or F] [,standres:F]\ [,graphics keyword phrases]), 1 <= varNo <= ncols(RESIDUALS) |

resvsindex([graphics keyword phrases]) plots standardized residuals against case number. resvsindex(usehii:T [,graphics keyword phrases]) does the same using leverages HII in standardizing. This is the default after a GLM command. resvsindex(usehii:F [,graphics keyword phrases]) does the same without using leverages HII. This is the default after arima(). resvsindex(standres:F [,graphics keyword phrases]) does the same without any standardization. The residuals are from variable RESIDUALS or WTDRESIDUALS produced by the most recent GLM (generalized linear or linear model) command such as regress(), anova(), or poisson(), or from an ARIMA fit computed by macro arima(). If the most recent command was manova(), only column 1 of the residual matrix is plotted. resvsindex(varNo [, usehii:T or F] [, standres:F] [,graphics keyword phrases]), where varNo is an integer between 1 and ncols(RESIDUALS), plots residuals associated with variable varNo against case numbers. varNo > 1 is legal only when RESIDUALS was computed by manova(). The default plotting symbol is the same as for plot(), a drawn asterisk or star ("\6"). You can change it by including 'symbols:c' as an argument, where c is a CHARACTER or integer scalar or vector. c = 0 is special: it is equivalent to c = "###" and results in points being labeled with case number. See chplot(), subtopic 'symbols_used'. You can use all the usual graphics keywords to modify the default plot characteristics. These include 'title', 'xlab', 'ylab', 'symbols' 'impulse' and 'lines'. See topics 'graphs', 'graph_keys', 'graph_border' and 'graph_ticks'. When you have set option 'dumbplot' to False (see 'options'), the plot will be a low resolution plot unless 'dumb:F' is an argument. Without standres:T, the quantities plotted are r[i]/sd[i] where r[i] is RESIDUALS[i] or WTDRESIDUALS[i] and sd[i] is the estimated standard deviation. WTDRESIDUALS[i] is used after regress(), anova(), or manova() with 'weights:wts' or after nonlinear GLM commands such as logistic() and poisson(). When usehii is True (the default after GLM commands), sd[ii] = sqrt(mse*(1-HII[i])), where mse is the residual mean square after regress(), anova() or manova(), the mean error deviance after non-linear GLM commands or the estimated innovation variance after arima(). When usehii is False (the default after arima()), sd[i] = sqrt(mse). With standres:F, the quantities plotted are r[i]. The values on the X-axis are 1, 2, ..., nrows(RESIDUALS). resvsindex() is implemented as macro. See also topics resvsrankits(), resvsyhat(), resid().

Gary Oehlert 2003-01-15