similar to: outlier color change in lattice bwplot()

Hi, I was just trying to figure out how to beautify the output of my bwplot-output. Altogether I figured most of the things out on my own. The one thing which puzzles me though are the symbols for the outliers. I can easily change the form of the median symbol by using "pch" but I don't know how to do this for outliers. Obviously the "outpch" of the

Dear list, Sorry for asking this question, but has something changed in the syntax for bwplot in Lattice? In an old publication, I used > bwplot( VOTMS ~gender |type * group, data=merge(vot,words,by="ord"), nint=30, horizontal=F, layout=c(3,3), box.ratio=0.8) which produced a lovelly 3x3 lattice plot with one

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

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Hi Is there a way to lable (e.g. observation-number) the outliers in a boxplot? and in a bwplot? thanks a lot Christoph P.S. identify() is not available with bwplot, is it?

dear R-help, i have looked carefully through the R-help archives for information on how to suppress whiskers in a bwplot. someone asked this question a while ago, but the answer he received is not available in the archives. but i did manage to get my hands on a panel function (called "my.panel") that is supposed to do this (the function is reproduced at the end of the email, below).

I have created a lattice bwplot that suffers from axis label overplotting. The box plot contains grid lines, and I thought that only plotting the labels for corresponding vertical grid lines would not only cure the overplotting but also be more aesthetically pleasing. Unfortunately hours of poring over manuals, documentations, mailing list archives, and other R-related text hasn't helped.

Hi List, Just wondering where the documentation exists for the statistics which makeup the bwplot. I'm guessing that if R is like similar products that the graph is constructed as The median is the filled circle. The box surrounding the filled circle depicts the 25th and 75th quartile. The range of values is given by the dotted lines (?whiskers?) outside of each box, and possible

I'm new to R, but I'm trying to write a program for a dissertation that generates a dataset as follows... subject=1:1000 treat=rbinom(1*1000,1,.13) gender=rbinom(1*1000,1,.5) eth=runif(1*1000, min=1, max=4) cogat=rnorm(1*1000, 100, 16) map=rnorm(1*1000, 200, 9) simtest=data.frame (subject=subject, treat=treat, gender=gender, eth=round(eth,digits=0),

I am looking at data of the following structure: n <- 100 dataset <- data.frame(gender=NULL,subject=NULL,outcome=NULL) for (i in 1:n){ gender <- c(rep("m",5),rep("f",5)) subject <- letters[1:10] outcome <- c(rbinom(5,1,0.6),rbinom(5,1,0.4)) dataset <- rbind(dataset,cbind(gender,subject,outcome))} I am interested in the significance of

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

I saw an example online of taking hclust dendrogram and plotting it using ggplot2 and thought I would give it a try to see what it would look like. I get an error when trying to use ggplot; Error: ggplot2 doesn't know how to deal with data of class phylo. Regular plot works fine but I can't get ggplot2 to work. see code below.... rows=100 columns=100 #create matrix

Dear list, I have following plot, where I have set the color (red and green) and lines (lty=2:3) in the panel.groups but can't not figure out how change the lines and color of the legend in the "key" to the same lines and color as in the panel.groups. bwplot(means ~ age | scales , dat, panel = "panel.superpose", groups = sex,scales = list(x = list(rot =

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

Hello, I need to analyse a data matrix with dimensions of 30x100. Before analysing the data there is, however, a need to remove outliers from the data. I read quite a lot about outlier removal already and I think the most common technique for that seems to be Principal Component Analysis (PCA). However, I think that these technqiue is quite subjective. When is an outlier an outlier? I uploaded