search for: barcols

Dear R-users, apologies for the total beginner's question, but I have been trying to solve this problem for ages and I seem to be getting nowhere. I also have tried to search through the archives of the R mailing list, but I am still left with my problem. How do I change the width of the bars for this simple barplot? I understand that the the "width" argument might do what I want

Hi, I want to plot means with standard deviations of Total Nitrogen (TN) across 4 stations (S1-S4) and over 3 years (2007-2009). I want this plot in one panel. I do not want medians (bwplot, boxplot). I have tried a few different packages and it seems that ggplots with plotmeans was the fastest (I am not extremely skilled in writing my own scripts). Unfortunately, there is no grouping

...I color the bars according to their sign (red < 0, blue > 0) # conditional on the value of S2 < .025 - in which case color them gray? # Initially, I tried to pass a character vector specifying colors, # which does not achieve the desired result: library(lattice) library(latticeExtra) df1$barcols <- ifelse(df1$S1 <.025, "gray", ifelse( df1$S2 > 0, "blue","red")) ctp <- xyplot(S2 ~ F2 | F1 + F3, data=df1, as.table=TRUE, ylim=c(-10,10), panel = function(x,y){ panel.barchart(x,y,horizontal=FALSE, or...

Dear R-list, I'm iterating several calls to plotCI [gplots], like so: plotCI( x = xvals.f[sorted], y = yvals.f[sorted], xlim = c(xmin, xmax), ylim = c(ymin, ymax), pch = plot_symbols[graph_idx], type = "b", lty = plot_linetypes[1], col = plot_colors[graph_idx], barcol = plot_colors[graph_idx], uiw = NA, xlab = "", ylab = "", add =

Dear list members, I would like to create two series of plotted mean values and error bars, yet with different locations along the x-axis. Plotting of first series using plotCI with the standard arguments goes without any problem. However I do not succeed to add the second series in the same plot, which should be horizontally shifted from the first series along the x-axis. The “add=TRUE”

Hi, anybody know why this not works for several plots ? When i set onefile=T the plots are stacked one about another , onefile=F only the first plot is shown in AllbusMeansPlots.svg. [h2 is a data.frame] ......hist and sapply works for several plots nice with RSvgDevice ! Maybe setting the title after apply is a problem, but until yet i didn't found a better solution ? library(RSvgDevice)

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Hi I am sure that this question has been asked before ... appologies in advance This - which comes out very nicely - better than the commercial stuff. plotmeans (cdpy~Dodefordpy, Data = Dataset, connect = False, minbar = 1, mean.labels = FALSE, col = "blue", barwidth = 1.5, barcol = "red", ci.label = FALSE, xlab="Onset", pch = 15, par(las =2)). Only one snag I

I've thrown a couple of useful functions into a new package "gregmisc" and uploaded them to ftp://ftp.ci.tuwien.ac.at/incoming/gregmisc_0.1.1.tgz Here's DESCRIPTION: Package: gregmisc Description: Misc Functions written/maintained by Gregory R. Warnes Title: Greg's Miscellaneous Functions Version: 0.1 Date: 2001/05/24 Depends: R Maintainer: Gregory R. Warnes

Hello people, A while back I wanted to plot boxplots with interactions that will have a dot for the mean of the sample + bars for the SE. After searching for some code, I found something that did it for one level, but couldn't find something that will allow for interactions the way the original boxplot does. After playing with the original code, I found a way for allowing the boxplot code to

Can anyone please tell whether there is any R function to act as "VEC" and "VECH" operator on Matrix? Yes of course, I can write a user-defined-function for that or else, I can put dim(mat) <- NULL. However I am looking for some R function. Your help will be highly appreciated. Regards, -- View this message in context:

Forum, I am attempting to plot weekly horizontal histograms, something very similar to: http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=109 The part of the code used to create this graphic that interest me: # Draw the histograms for (i in 1:length(ages)){ par(new = TRUE) xmin <- -ages[i] + xlim[1] xmax <- xlim[2] - ages[i] ser <- freqs[, i+1] ser <-