similar to: introducing jitter in overlapping graphs using ggplots (plotmeans). Also sciplot.

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)

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

Any help with this problem would be greatly appreciated: I need to produce a custom plot i haven't come across in R. Basically, I want to show means, 1st standard deviation and 5th and 95th percentiles visually, using something resembling a boxplot. Is it possible to completely customize a boxplot so that it shows means as the bar (instead of, not as well as medians), standard deviations at

Hi, I have a data set with two continous variables that I want to plot MEANS (I am not intrerested in median values) on a double-y graph. I also have 2 factors. I want the factor combinations plotted in different panes. Dummy dataset: mydata <- data.frame(factor1 = factor(rep(LETTERS[1:3], each = 40)), factor2 = factor(rep(c(1:4), each = 10)), y1 =

Hello everyone, I have tried to look for this everywhere and so far have no luck. I have a plotMeans(DV, IV1, IV2, error.bars="se") graph that plots my data (DV-continuous, IVs are factors, IV1 - two levels, IV2-four levels). I am trying to increase a scale of my y-axis (to be consistent with my other graphs), but unfortunately nothing works with "plotMeans" function, which

Hi, I often use plotmeans() from the gplots package to quickly visualize a pattern of change. I would like to be able to plot separate lines for different groups, but the function gives an error when a grouping variable is included in the formula argument. For instance, > require(gplots) > x <- data.frame(Score=rnorm(100), Time=rep(1:10, 10),

Hello, I am using library(gplots) to do something like data(state) x1 <- state.area/10000 x2 <- x1+round((rnorm(length(state.area),3,3))) plotmeans(x1 ~ state.region) Is it possible to plot x2 to x1 in the same graph, something like: linesmeans(x2 ~ state.region) Best wishes, Cheba [[alternative HTML version deleted]]

I know that simple line plots showing a point representing the mean + an error bar are difficult in R, but I am clearly missing something. I simply want to show how a the mean and 95% CI of a chemical concentration (y) vary over space (x) under four temperature regimes (T; a categorical factor). plotmeans, in the gplots library, should allow for such a figure, right? After all, it invokes lm()

I can not seem to get a ylim argument into plotMeans() is there anyway to do this. thanks in advance Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis [[alternative

Dear R fans, I am preparing a lecture discussing the paper of Wilkinson and APA Task Force on Statistical Inference (1999, American Psychologist, 54, 594-604.) I'd like to demo their Figure 3B (p. 602) with R. That is to add plotMeans(...) with dots of BHH2::dotPlot(...) . Is there any elegant script to do the job? Thanks --------------- LI, Xiaoxu

The package "sciplot" is now available for download from CRAN. This package includes a collection of functions that create graphs with error bars for data collected from one-way or higher factorial designs, as well as a function to plot bifurcation diagrams resulting from analysis with XPPAUTO. The functions in this package replicate some of the functionality of plotmeans() from the

Hi everyone, i've been trying to make a special plot with ggplot2, but I can't get it to fill the polygon I'd like to see filled so very very much. I want to display the difference or change in the distribution of the modified Rankin Scale between two groups. mRS is a scale for disability or daily activities competence. It looks like this.

hi List and Manuel, I have encounter the following problem with the function "lineplot.CI".? I'm running R 2.10.1, sciplot 1.0-7 on Win XP.? It seems like it's a scoping issue, but I couldn't figure it out. Thanks! ...Tao > lineplot.CI(x.factor = dose, response = len, data = ToothGrowth)??? ## fine > lineplot.CI(x.factor = dose, response = len, data = ToothGrowth,

Hi, I would like to have lineplot.CI and barplot.CI to actually plot confidence intervals , instead of standard error. I understand I have to use the ci.fun option, but I'm not quite sure how. Like this : > qt(0.975,df=n-1)*s/sqrt(n) but how can I apply it to visualize the length of the student's T confidence intervals rather than the stdandard error of the plotted means

Is it possible to format the x axis, so that days are spaced proportionately? i.e. a larger space between 50 & 100, than 0 and 5? Have not had any luck with axis.POSIXct(). Many thanks Murray try <- structure(list(visit = structure(as.integer(c(1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5)), .Label = c("Screening", "0",

Hello, I'd appreciate a suggestion on how to construct plots (barplots?) that use means on the Y axis instead of density/count. I'd also like to use groups and plot error or confidence interval bars on these graphs. I know this is a read the manual situation. I'd appreciate help with what to read, or your benevolence with some sample code. I've looked at lattice and gplots2, but

I know this is not the right place to raise this question and at the same time i do know that this is the right place to get the right people. So, I am raising it over here (because i am struck in the middle of nowhere). My question is like this: how to add the zooming facility to the below data (extracted from turning-series example of flot and something little changed). In this zooming facility

Hi to all, Does anybody knows why this is giving an error? data(ToothGrowth) # Two-way design with options bargraph.CI(dose, len, group = supp, data = ToothGrowth, xlab = "Dose", ylab = "Growth", cex.lab = 1.5, x.leg = 1, col = "black", angle = 45, cex.names = 1.25, density = c(0,20), legend = TRUE) Error in dn.call[[1]] :

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

Hi there, I wonder if anyone can help me. I'm trying to use bargraph.CI in the Sciplot package when there is a missing combination of the factor levels. Unfortunately the standard errors on the plot do not appear to be correct. Consider an analysis consisting of two factors A and B. When all factor level combinations are present all appears fine: library(sciplot) #all data