search for: occupationalstatus

...) (137.205.240.44) Standardized residuals as calculated by rstandard.lm, rstandard.glm and plot.lm are Inf/NaN rather than zero when the un-standardized residuals are zero. This causes plot.lm to break when calculating 'ylim' for any of the plots of standardized residuals. Example: "occupationalStatus" <- structure(as.integer(c(50, 16, 12, 11, 2, 12, 0, 0, 19, 40, 35, 20, 8, 28, 6, 3, 26, 34, 65, 58, 12, 102, 19, 14, 8, 18, 66, 110, 23, 162, 40, 32, 7, 11, 35, 40, 25, 90, 21, 15, 11, 20, 88, 183, 46, 55...

...dized residuals as calculated by rstandard.lm, rstandard.glm and = plot.lm > are Inf/NaN rather than zero when the un-standardized residuals are = zero. This > causes plot.lm to break when calculating 'ylim' for any of the plots of > standardized residuals. Example: > > "occupationalStatus" <- > structure(as.integer(c(50, 16, 12, 11, 2, 12, 0, 0, 19, 40, 35, > 20, 8, 28, 6, 3, 26, 34, 65, 58, 12, 102, 19, = 14, 8, > 18, 66, 110, 23, 162, 40, 32, 7, 11, 35, 40, = 25, 90, > 21, 15, 11,...

Well I suppose a warning's not going to hurt. Even in a case like the occupationalStatus example where you know some points have been fitted exactly, it might be useful to be reminded that the standardised residuals for these points are then NaN and cannot be displayed. Of course when you don't know in advance that this issue will arise, there is even more reason to give a warn...

...h=5 caused the Pearson rather than deviance residuals to be used in which=2 or 3 (including in the default case). (Thanks to Effie Greathouse and Greg Snow.) plot.lm() did not report on omitting observations with leverage one if they also had residual exactly zero. This was seen in example(occupationalStatus). o deparse(nlines=) no longer pads short results with blank lines. (PR#13299) o legend(xpd=) now restores 'xpd' correctly. (PR#12756) o The "formula" method for lines() now works if 'subset' is supplied and no 'data' argument (as that for poin...

...h=5 caused the Pearson rather than deviance residuals to be used in which=2 or 3 (including in the default case). (Thanks to Effie Greathouse and Greg Snow.) plot.lm() did not report on omitting observations with leverage one if they also had residual exactly zero. This was seen in example(occupationalStatus). o deparse(nlines=) no longer pads short results with blank lines. (PR#13299) o legend(xpd=) now restores 'xpd' correctly. (PR#12756) o The "formula" method for lines() now works if 'subset' is supplied and no 'data' argument (as that for poin...