similar to: more than one level of grouping in xyplot

Dear R People: I have the following data frame: > x.df date cond freq 1 04/01/09 Fever 12 2 04/02/09 Fever 11 3 04/03/09 Fever 10 4 04/04/09 Fever 13 5 04/05/09 Fever 6 6 04/01/09 Rash 6 7 04/02/09 Rash 10 8 04/03/09 Rash 9 9 04/04/09 Rash 10 10 04/05/09 Rash 8 11 04/01/09

Dear R users - I have a list of patient identifiers and diagnoses from inpatient admissions. I would like to reorganize the list, presently in a long format to a wide format in reshape, but in the absence of a "time" element, I am uncertain how to do this - any help greatly appreciated. ID Dx A nausea A diabetes A kidney failure A heart attack A fever B fever B

I'm having trouble with the order of the panels using xyplot. I had used this bit of code before and received the desired plot (the code was not identical, but very similar; perhaps more importantly I was working with an older version of R) . Now the panels appear right to left instead of left to right, as it says in the help files, which is what I would like. Does anyone know if this has

Dear R Users, I have an xyplot() where different plotting symbols are used for subgroups (originally used within S-Plus, but hopefully it?s also applicable to R users). How can I fit separate regression lines for every subgroup? So far, I can only plot the overall fitted line. The code looks like this: trellis.device() sps<-trellis.par.get("superpose.symbol") sps$pch<-1:7

Dear All, I wonderif there is a simple way to draw a regression line in the xyplot: more specifically, let: age <- c(20:30, 31:40 ) age.cut <- cut(age, breaks = 2 ) y<- rnorm(20) x <- rnorm(20,4,1) xyplot(y ~ x| age.cut, xlab="x", ylab="y") How to draw (in the plot given by xyplot) the two regression lines (y ~ x) corresponding to the two category

Hi all, I'm having a problem with the auto.key function in xyplot. I changed the symbols an lines styles using these commands trellis.par.set(superpose.symbol=list(pch=c(0,1,2,3,4,5,6,8,15,16))) trellis.par.set(superpose.symbol=list(col=c(rep("black",11)))) trellis.par.set(superpose.symbol=list(cex=c(rep(0.6,11))))

Dear R gurus.. Is it possible to control span settings for different values of a grouping variable, when using xyplot? an example code shown below d=data.frame(x=rep(sample(1:5,rep=F),10),y=rnorm(50),z=rep(sample(LETTERS[1:2],rep=F),25)) xyplot(y~x,data=d,groups=z,panel=panel.superpose,panel.groups=panel.loess(span=c(2/3, 3/4,1/2)) or something like..

All, I can't seem to get auto.key to work properly in an xyplot that is employing panel.text. Specifically, I often change the default grouping colors then use auto.key accordingly, but for some reason the same functionality isn't working for this different type of plot. Any help much appreciated. Cheers, David library("lattice") dat = data.frame( Y = c(rnorm(18,1),

I'm using xyplot in a very simple way---a scatter plot of several data sets. I'm having a problem getting auto.key to display different point characters. The following produces a plot that employes different colors, all with pch(1), for the different groups, with a matching key. xyplot(Force~Time, rawData, groups=Sample, panel = panel.superpose, auto.key=TRUE) The following

Hi, suppose I have data from 3 experiments which show conversion as a function of time for different boundary conditions, e.g. pressure, temperature. I want to plot all experiments as conversion over time grouped according to the temperature. However, since I have more than one experiment performed at the same temperature (but different pressures) I end up figuring out which curve belongs

Dear R Lists, Can anyone help me add site IDs (site: 1~50) directly to my xyplot. I have 50 sites and collected observations from the sites at 13 different time points. I want to look at the change of my observations in each site. I was able to make a graph using xyplot, however, I can't find how to add site IDs within the graph not adding them in the legend. Overall, I would like to be able

Dear List, I try to make a xyplot with different colors and symbols, I came this far: library(DAAG) xyplot(csoa~it|sex*agegp,data=tinting,groups=target,pch=list(1,2),auto.key=list(space = "right")) this produces a plot with different colors and symbols but unfortunately the legend does only follow the color scheme and not the different symbols. Any suggestions what to change? And

Hi, how can I make the point characters thicker (NOT larger) in xyplot when groups= argument is used? dat<-data.frame(x=1:100,y=1:100,group=rep(LETTERS[1:5],each=20)) ### lwd=2 doesn't work here xyplot(y~x,groups=group,data=dat,col=1:4,pch=1:4,lwd=2) ### lwd=2 works with panel.points(), but grouping is messed up! xyplot(y~x,groups=group,data=dat,col=1:4,pch=1:4,

Hi All, I have a quick question and any help is greatly appreciated. For the following data when I try to produce the image using xyplot function in lattice package, the key has 4 rows instead of 2. Can anyone tell me what I'm doing wrong and what is the way to fix the problem. Here the code that I'm running studyData <- as.data.frame(t(structure(c( "A",0,4.477,

Hi! I have a dataframe like this: dat=data.frame(Age=c(rep(30,8),rep(40,8),rep(50,8)),Period=rep(seq(2005,2008,1),3),Rate=c(seq(1,8,1),seq(9,16,1),seq(17,24,1)),Sex=rep(c(rep(0,4),rep(1,4)),3))attach(dat)dat    Age Period Rate Sex1   30   2005    1   02   30   2006    2   03   30   2007    3   04   30   2008    4   05   30   2005    5   16   30   2006    6   17   30   2007    7   18   30   2008  

I could use some advice regarding xyplot. I've got 2 time series. Both cover approximately the same period of time (ie, 1940 to 2009). But one series has annual data and the other has monthly data. One refers to university enrollment; the other to unemployment rates. Both are currently in the same data frame. I'd like to use the monthly times series as a light grayscale background for a

I would like to use lattice graphics to plot multiple functions (or groups or subpopulations) on the same plot region, using different line types "lty" or colors "col" to distinguish the functions (or groups). In traditional graphics, this seems straightforward: First plot all the data using 'type="n"', and subsequently execute a series of "points"

Hi, for the data below: time<-c(rep(1:10,5)) y<-time+rnorm(50,5,2) subject<-c(rep('a',10),rep('b',10),rep('c',10),rep('d',10),rep('e',10)) group<-c(rep('A',30),rep('B',20)) df<-data.frame(subject,group,time,y) I'd like to produce a plot with a single pannel with two loess curves one for each group. the code below does

Dear R-help subscribers, I use xyplot to plot longitudinal data as follows: score<-runif(100,-4,5) group<-sample(1:4,100,rep=T) subject<-rep(1:25,4) age<-rep(runif(4,1,40),25) df<-data.frame(score,group,age,subject) xyplot(score~age|group, group=subject, panel=function(...){ panel.loess(...,lwd=4) panel.superpose(...)} ,data=df) this produced a plot with four panels one for each

using either one of the following codes: xyplot(X ~ time | center, type="l", panel=panel.superpose, groups=subject, col = treatment) xyplot(X ~ time | center, groups = subject, panel = function(x, y, ...){ panel.superpose(x, y, col = treatment, type = "l", ...) }) I get two different colours for the lines by these colours do not match the corresponding treatment