similar to: lattice::bwplot with unbalanced design

Hi, This question is related to the bwplot issue I reported yesterday. I have a 3 factors (2x3x2) dataset that I collapsed into a 2 factors dataset (3x2 = sizexModality). For size==small, I have 2 observations per subject (Snr), for the other sizes only 1. I reckoned that aov (and underneath, lm) might handle this as it should, since the subjects are idendified, when I do > aov(

Hi, The functions prepanel.default.bwplot() and lpretty() are not running in Deepayan's barley example concerning vertical bars with the lattice function barchart(). Why, is there a restricted use for the package lattice-Internal? Urs Simmen mailto:usimmen at dtc.ch

On Friday 17 September 2004 13:52, RenE J.V. Bertin wrote: > Hello again, > > I am doing regressions (using panel.lmline() (and panel.abline( > rlm(...))) ) inside a panel method which I pass to bwplot(). > > What I would like to do is create a boxplot of categorised data > (binned on the independent variable), and superpose a regression line > which is calculated using the

RenE J.V. Bertin wrote: > Hello, and (somewhat belated) best wishes for 2005. > > Can one order not to draw outliers in bwplot, or at least exclude them from the vertical axis scaling? If so, how (or what doc do I need to consult)? > The options that have this effect in boxplot() do not appear to have any effect with bwplot (although outline=FALSE in boxplot does *not* change the

Hi, [I'mm cc-ing r-help on this, since some others might be interested (Tony Rossini is, at least)] Yes, I saw your mail and was wondering about what would be the best approach to do it. It's definitely not trivial, mainly because Trellis is not designed to handle factors on the x-axis (chiefly for convenience, as factors typically have long names which are difficult to write on the

Concerns: R 1.5.0 gui version, Windows (downloaded binary) and Linux (installed from sources). # Load the data from the attached file: kk<-read.table("__filename__", header=1) # attach the data: attach(kk) Snr<-factor(Snr) # fool around with a call to anova.glm(): anova.glm( aov( nFD~Type+size+Modality+Error(Snr/(Type+size+Modality)) ) ) # Error: object nFD not found # Well, I

mgcv: Constructing probabilities for binomial GAM with crossed random intercepts and factor by variable Hello, (I'm sorry if this has been discussed elsewhere; I may not have been looking in the right places.) I ran a binomial GAM in which "Correct" is modelled in terms of the participant's age and the modality in which the stimulus is presented (written vs spoken).

Dear all, I need an help because I am really not able to find over internet a good example in R to analyze an unbalanced table with Anova with repeated measures. For unbalanced table I mean that the questions are not answered all by the same number of subjects. For a balanced case I would use the command aov1 = aov(response ~ stimulus*condition + Error(subject/(stimulus*condition)), data=scrd)

Hello - and happy newyear to all of you! I've got some data that I'm plotting with bwplot, a 3x2x3 design where the observable decreases with the principle independent factor, but at different rates. I'd like to get lattice to impose not a single set of axes ranges identical for all panels, but ranges that are identical for each panel row or each column. Effects will stand out much

Hi, I'd like to add lines to the panels of a bwplot, showing (and connecting) the means of the displayed distributions. I didn't find anything in the documentation or the examples that suggests how to accomplish this easily. Has anybody done this already, and willing to share? Thanks, RenE J.V. Bertin College de France/LPPA 11, place Marcelin Berthelot 75005 Paris, France

Hello, I am trying to use "bwplot" to display whisker boxes according to some conditioning factors ("age" has two values 1/2). I get the following messages: > library(trellis) > bwplot(dvk95~age|site*season,panel=function(x,y){panel.bwplot(x,y)}) Error in tapply(1:0, structure(list(INDICES = numeric(0)), .Names = "INDICES"), : arguments must have

Inspired by colouring the dots of box-whisker plots I am trying to also fill the boxes (rectangles) with different colours. This seems not to work as I expected. Looking at the help page of panel.bwplot it says: 'fill - color to fill the boxplot'. Obviously it is only intended to fill all boxes with only one colour? Nevertheless the following example shows, that 'fill' from

Peter, that finally worked. hrs = seq(1, 24, 1) g = bwplot(tt~OnHFact |Runway, data=gdf, ylab="Taxi time (min)", main=title, xlab="Hour of day", par.strip.text=list(cex=0.7), rot=90, xlim=c(0, 25), drop.unused.levels=FALSE, scales=list(x = list(rot=90, cex=.6 ,at=hrs, labels=hrlabs )), panel =

Hi, I'm trying to produce colored boxplots using lattice::bwplot function. I need to plot each boxplot in the panel with a specific color. Naturally I used a vector of colors and expected to see colored boxplots. Although the boxplots were colored, the color of whiskers and the boxes do not match. Here is an example: d = data.frame(y = rnorm(100), x=1:4) box.color <-

Hi, I'm trying to produce colored boxplots using lattice::bwplot function. I need to plot each boxplot in the panel with a specific color. Naturally I used a vector of colors and expected to see colored boxplots. Although the boxplots were colored, the color of whiskers and the boxes do not match. Here is an example: d = data.frame(y = rnorm(100), x=1:4) box.color <-

I want to turn off selected axes in bwplot. I would like to only have the bottom axis drawn, with the others off. I have a series of bwplots that I want on one device, like this: p1<-bwplot(x1,box.ratio=.1) p2<-bwplot(x2,box.ratio=.1) ... print(p1,position=c(0,.8,1,1),more=T) print(p2,position=c(0,.6,1,.8),more=T) ... I know about the panel functions panel.bwplot() and panel.axis(), but

Dear R-users, A while ago, Deepayan Sarkar suggested some code that uses the group argument in bwplot to create some 'side-by-side' boxplots (https://stat.ethz.ch/pipermail/r-help/2010-February/230065.html). The example he gave was relatively specific and I wanted to generalize his approach into a function. Unfortunately, I seem to have some issues passing the correct arguments to the

Dear collegues, given a structure of data like this: ###### Data ########################### set.seed(100) a <- rnorm(60,10,3) s <- c(rep("A",20),rep("B",20),rep("C",20)) p <- c(rep("d",6),rep("e",6),rep("f",6),rep("g",6),rep("h",6)) df <- data.frame(a,s,p) i would like to draw a lattice bwplot in

Hi, I am working with R 1.81. When I call bwplot() it prints the output to the windows device as it should. For example, d<-data.frame(y=c(2,3,4,5,12,14,16,11),x=c(rep("group1",4),rep("group2",4))) bwplot(y~x,data=d) This code results in a parallel boxplot. That is a single plot with 2 boxplots next to each other; a boxplot for "group1" and a boxplot

Dear r-helpers, tst <- data.frame(as.numeric(x <- 1:20), f <- rep(c('hi','lo'), times = 10)) with(tst, bwplot(f ~ x, panel = function(x, y){panel.bwplot(x, y, pch = '|', stats = boxplot.stats, fill = 8, varwidth = T)})) I can't figure out from the documentation how to tell stats that I would like to see notches or (even bands). Here is what I've