similar to: Rcmder Error

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

Dear R graphics gurus, Another question about lattice graphics. This time I would like to plot means and confidence intervals by group factor in a lattice graph. I can not find any working lattice examples. Maybe a custom panel function is the answer, but that is a bit beyond me for now. The individual plots within the lattice graph could look like this: # Example with confidence intervals

Dear R users, I am trying to use xyplot to draw group mean and CI. The following is the sample code. But I want: 1. Use different colors and symbols to draw individual points, CI and the lines connect group means from different time points; 2. Add jitters to x axis to allow CIs not be overlapped Could anyone modify the attached code to achieve this? Thanks library(lattice)

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

Hello, all. I'm new to R and just beginning to learn to write functions. I know I'm out of my depth posting here, and I'm sure my issue is mundane. But here goes. I'm analyzing the American National Election Study (nes), looking at mean values of a numeric dep_var (environ.therm) across values of a factor (partyid3). I use ddply from plyr and wtd.mean from Hmisc. The nes requires a

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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),

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 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()

estimados no he encontrado el modo de hacer en R el tipico grafico de medias con la desviacion estandar asociada ... me explico, tengo 2 variables numericas, para la variable independiente se elijen 3 niveles y en cada uno de ellos se mide 15 veces la variable respuesta, para este data.frame se quiere mostrar en un grafico en el eje X los 3 niveles escogidos y en el Y la vbla respuesta, pero no e

Dear R users, There is a new version (1.5-1) of the Rcmdr package. Here, from the CHANGES files, are changes since the last minor version (1.4-0) was released a year ago: ------------------------------------------------------- Version 1.4-1 o The following updated translations have been added: Catalan (thanks to Manel Salamero), French (thanks to Philippe Grojean), Japanese (thanks to

The following example, extracted from pp. 38-42 of Chambers (1998) Programming with Data (Springer), works for me in S-Plus 6.2 but not R 1.9.0pat, which returns the indicated error messages: > setClass('track', representation(x="numeric", y="numeric")) [1] "track" > tr1 <- new("track", x=1:3, y=4:6) > setMethod("plot", +

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 am trying to draw a bar chart with standard error bars for two groups. I was struggling in R so have now managed to get rcmdr up and running on my mac (although the help frequently crashes, everything else seems fine, if a bit sluggish; wouldn't use it for stats). This has allowed me to very easily create a plot of the means and standard errors BUT-does anyone know if it is

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)

I would like to know if you have any suggestions how to visualize the results from a paired t-test (see the example data below). I tried to produce plots that show the mean and CI's from the original data and the estimate of the difference between means and the confidence intervals (see below) from the t-test. I really don't know what would be the best way to graphically display the

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

Hello, I faced some difficulties using time series objects. ---------------------------------------------------------------------------- 1. Why is the time data changed, when I, e.g., apply sqrt(arrts), but not when arrts^0.5 ? This is my examples time series: ---------------------------------------------------------------------------- > arrts Time Series: Start = 3 End = 23 Frequency

Dear R developers, I would like to have R choose the limits of the y-axis semi-automatically, e.g., zero should be included, but the maximum should be chosen depending on the data. Examples: plot(1:10, 1:10) # selects min and max automatically plot(1:10, 1:10, ylim=c(1, 10)) # manual definition plot(1:10, 1:10, ylim=c(0, Inf)) # this would be a nice feature, i.e. lower y limit = 0 defined

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