search for: datadensity

...al score, a two-level group, and a continuous covariate. Of primary interest is a plot of the group by score interaction, where the score is the ordinal variable, and the group Ns are quite disparate. When I produce the plot for the predicted values with the data=llist argument, as expected I get datadensity hatch marks. However, in the group with the smaller N, I get jittered datadensity points, while in the group with the larger N, the jitter apparently defaults to single vertical lines, which I assume is because the jitter would look like a black blob. Some of my co-authors are a bit worried about...

Dear All, I am creating 4 plots (files) but I could see only 3. Here is a simple code d=data.frame(age=rnorm(100,40,8),ht=rnorm(100,170,15)) tiff(file=paste("test","%03d",".tif",sep="")) hist.data.frame(d) datadensity(d) par(mfrow=c(1,2),mar=c(3,3,3,3)) boxplot(d$age) hist(age) dev.off() PDF works fine but png and tiff seems to miss the second graph. I must be missing something Thanks!!! [[alternative HTML version deleted]]

Dear friends, Ecdf used to work nicely before. e.g. ecdf(df1v[,c(1:6)],group=df1v$trt,q=.5,col=1:2,label.curves=list(keys="l ines"), datadensity="rug") but now it does not work at all, even for a simpler code??? By the way, I used the same libraries. Thanks for your help. Ahmed [[alternative HTML version deleted]]

...e='list'. new argument levelType in html.contents.data.frame enhanced html.data.frame to set column headings in h2 added curtail option (default: FALSE) for type='regression' to set imputed values to the boundaries of real data if outside added datadensity argument to plot.aregImpute fixed bug with curtail, added datadensity argument to plot.aregImpute fixed typo related to bass argument fixed bug in latex.describe to translate underscores in variable names when listing those with all NAs fixed inmChoice...

...e='list'. new argument levelType in html.contents.data.frame enhanced html.data.frame to set column headings in h2 added curtail option (default: FALSE) for type='regression' to set imputed values to the boundaries of real data if outside added datadensity argument to plot.aregImpute fixed bug with curtail, added datadensity argument to plot.aregImpute fixed typo related to bass argument fixed bug in latex.describe to translate underscores in variable names when listing those with all NAs fixed inmChoice...

...\usage{ plsmo(x, y, method=c("lowess","supsmu","raw"), xlab, ylab, add=F, lty=1:nlev, col=par("col"), lwd=par("lwd"), iter=ifelse(length(unique(y))>2, 3, 0), bass=0, trim, fun, group, prefix, xlim, ylim, label.curves=T, datadensity=F, lines=T, ...) xyplot(y ~ x | conditioningvars, groups, panel=panel.plsmo, type='b', label.curves=T, lwd = superpose.line$lwd, lty = superpose.line$lty, pch = superpose.symbol$pch, cex = superpose.symbol$cex, font = superpose.symbol$...

...(s): crosstabs rm.boot text html latex example missing link(s): lm.fit.qr Design bootcov rm.impute scat1d text html latex example missing link(s): plot.Design nomogram.Design hist.data.frame datadensity.plot.Design spower text html latex example missing link(s): cph summary.formula text html latex example missing link(s): crosstabs trellis lattice sys text html latex missing link...

I need arguments pro-S-PLUS and against SAS for a meeting I will have next week. S-Plus is (90 - 99)% compatible with R, so using S-Plus will make things much easier for everyone. But I can't use this argument. What other arguments could I use? Alberto Monteiro