similar to: Location of boxplots in bwplot

We are currently analyzing data on children clustered in day care-centers (DCC). We have tried to use geepack and gee libraries to estimate an overall incidence rate for absences (=number of absences/risk time) by specifying geese(number.absences ~ offset(log(risktime)), id=day.care.id, family=poisson("log"), data=dcc, corstr="exch",

Hi R-help, Is there such a thing as a function in R for fitting a GLM where the response is distributed as a Beta distribution? In my case, the response variable is a percentage ([0,1] and continuous). The current glm() function in R doesn't include the Beta distribution. Thank you for any help on this topic. Sincerely, Sharon K?hlmann

Hi, I would like apply different link functions from Aranda-Ordaz (1981) family to large binary dataset (n = 2000). The existing links in glm for binomial data (logit, probit, cloglog) are not adequate for my data, and I need to test some other transformations. Is it possible to do this in R? And how? Thank you for your help, /Sharon

Dear list, Can anyone provide a package or code for estimating the parameters of a mixture of c (c >=2) univariate normal distributions? I've tried the algorithm provided by Venables & Ripley (1999) p 263, for the mixture of two normal, but I don't find the "ms" function in R. I've used nls instead, but I'm not sure if it works the same. The data I have is very

Full_Name: Sharon Kuhlmann Version: 0.99 OS: solaris2.6 Submission from: (NULL) (129.16.167.231) When I use the function > eigen(x), it gives me a "Process R bus error", and the program quits. I'm running the following R version: platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status Patched

[Env: R 2.14.2 / Win Xp] In the examples below, I'm using lattice::bwplot to plot boxplots of 4 variables, grouped by a factor 'epoch' which also corresponds to a numeric year. I'd like to modify the plots to position the boxplots according to the numeric value of year, but I can't figure out how to do this. Also, I'd to modify the strip labels that give the variable

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

I'm not able to create the proper syntax to specify a lattice bwplot() for only one of two conditioning factors. The syntax that produces a box plot of each of the two conditioning factors is: bwplot(quant ~ param | era, data=mg.d, main='Dissolved Magnesium', ylab='Concentration (mg/L)') What I've tried unsuccessfully are: bwplot(quant ~ param |

Dear all I would like to ask you about possible bug in using bwplot (from lattice) together with Hmisc library attached. I found it in my actual data, but here is a toy example. It appears only when some levels are missing. library(lattice) library(Hmisc) # preparing data x1<-rnorm(10,5,1) x2<-rnorm(10,5,5) x3<-rnorm(10,1,1) x4<-rnorm(10,1,5) x<-c(x1,x2,x3,x4) x<-c(x,x+5)

Try factor(vec2) in your bwplot() call. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Ernesto Jardim Sent: Friday, July 09, 2004 9:41 AM To: Mailing List R Subject: [R] Problem with bwplot Hi, I'm ploting some box-and-whisker plots with bwplot but I'm not getting any box-and-whiskers ... just dots.

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