similar to: Why don't formulas that work for lm() work for plotmeans?

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

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

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 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

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)

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

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

Hello I'm having trouble being able to plot more than one set of data using the plotmeans function. Plotmeans is where you can plot means and standard errors easily. Here is part of my code plotmeans(Mmeans ~ Month, data=BW.hydat.05HG001, n.label=FALSE)#one set of data par(new=TRUE) plotmeans(Mmeans ~ Month, data=Mouth.hydat.05HH001, col="red")#the second set of data Basically

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 want to create a plot whit plotMeans. How can I change the font? Thanks in advance. Teresa Boca __________________________________________________ [[alternative HTML version deleted]]

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

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

Hello. I need to plot a two-way interaction (5 levels X 3) with error bars. The x.factor will be the five-levels var and the trace.factor will be the three level var. I was able to find functions that draw error bars, but still couldn't find a way to draw an interaction plot that looks like what is common in psychological (and related) journals: the lines (three in my need) are plotted in

Dear All, I am analysing some data for a colleague (not my data, gotta be published so I cannot divulge). My response variable is the number of matings observed per day for some fruitlies. My factors are: Day: the observations were taken on 9 days Regime: 3 selection regimes Line: 3 replicates per selection regime. I have 81 observations in total The lines are coded A to I, so I do not need

Hi there! I'd like to make many tests and plots, for each variables. i.E. i <- 1 repeat { print (t.test(e[i], f[i])) i <- i + 1 if (i == 21) break } but the output is: Welch Two Sample t-test data: e[i] and f[i] ... so I don't know which data was calculated. Is there a way to tell the t.test or I'll make the same with plotmeans (from the gplots library)

Hi all, I have problem to estimate a SETAR model. I always get an error message. Here is the code: ## there are 4175 observation in the series (a). > a[1:10,1] [1] 1.496498 1.496602 1.496636 1.496515 1.496515 1.496463 1.496429 1.496549 1.496480 [10] 1.496498 > library("tsDyn") > selectSETAR(a, m=2)Using maximum autoregressive order for low regime: mL = 2 Using maximum

Dear list, I've been using plotmeans {gplots} a lot before, and found the "connect" argument to be quite useful. I've moved to ggplot for several reasons, but would still like to connect lines conditionally, somehow. Is it possible to do? Small example: df <- data.frame(cat=LETTERS[1:4],num=rnorm(4)) ggplot(df, aes(x=cat, y=num)) + geom_point() +

I am having difficulty installing packages. For example, here I have tried to install "gplots" but to no avail. I have tried multiple mirrors and different packages (errbar) but after installation I seem to be unable to access any of the commands or help pages. I am a little concerned about the 'lib' missing message but this has been present for previous successful package

Hello to all users and wizards. I am regulary using 'boxplot' function or its analogue - 'bwplot' from the 'lattice' library. But they are, as far as I understand, totally flawed in functionality: they miss ability to select what they would draw 'in the middle' - median, mean. What the box means - standard error, 90% or something else. What the whiskers mean -