search for: boxwidth

...) } else if(type == "ps"){ postscript(file = paste(figurename, ".ps", sep=''), width = 1.4, height = 0.5, onefile = TRUE, family = "Helvetica", paper = "special", fonts = "sans") } boxheight <- unit(1, "npc") boxwidth <- unit(1, "npc") pushViewport(viewport(x=0.5, y=0.5, width = boxwidth, height = boxheight)) grid.roundRect(height=boxheight, width=boxwidth, r=unit(3, "mm"), gp = box.gpar) grid.text(label, just = "centre", gp = text.gpar) popViewport() if(type...

Hi all, I am have some difficulty with the legend function. I need to add a legend to describe the different line types in a plot. The legend box is small. It did not include sufficient length of each line type to help distinguish the differnt line types. Is there a way to fix this. Thank you Hannah [[alternative HTML version deleted]]

Dear researchers I wish to plot a box plot without the mean line (the black line) and plot only the mean (red square). Futhermore, is it possible to add standard error and/or stadard deviation? This is an example mytest <- c(2.1,2.6,2.7,3.2,4.1,4.3,5.2,5.1,4.8,1.8,1.4,2.5,2.7,3.1,2.6,2.8) boxplot(mytest,lty = "solid") means <- mean(mytest,na.rm=TRUE) points(means, pch = 22, col

Hello all-- I'm trying to quickly, graphically, summarize the differences in the sample proportion of "yes" responses in a 0-1 variable across sites. I'm looking for a quick way to do one of the following: (1) add means onto boxplots (I know there's a boxmeans=T toggle in plot(.), but can I do this on proper boxplots?) (2) run plot.design on data containing NAs? (I have