similar to: Access to conditioning variables (lattice)

I wish to create a multipanel plot (map) from several datasets ("d" and "q" in the example below). I can condition the main xyplot statement on the "site" variable, but I don't know how to pass a conditioning variable to panel.xyplot plot so that the x-y coordinates from dataset q are only plotted at the appropriate site. library(lattice) d <-

Hello, I have a shingle A and B. A has 5 levels and B has 4 levels. Also, I have 8 levels of a factor C. I wish to xyplot( x ~ y | C *A *B,data=data), I think this is how the lattice conditioning works: If i'm not mistaken, all possible combinations of C,A,B , a subset of the data is accordingly taken and x~y is plotted. However, I have empty sets for some levels and these are

I would like to have a lattice conditioning ( | var ) variable have expression() as values because I want panel labels to be able to use plotmath notation for subscripts, etc. lattice barks at this. Does anyone know of a trick workaround? An attempted example program is below. Thanks -Frank require(lattice) set.seed(1) var <- c(rep('A', 100), rep('B', 100)) trt <-

Hey everyone, I am interest in running a Lepage multi sample test and i would like to ask if there is any code availabe for that. Thank you in advance -- View this message in context: http://r.789695.n4.nabble.com/Lepage-Test-tp3335861p3335861.html Sent from the R help mailing list archive at Nabble.com.

Dear lattice wizards, I am trying to figure out how to plot predicted values in xyplot, where the intercept, but not the slope, varies among conditioning factor levels. I am sure it involves the groups, but I have been unsuccessful in my search in Pinhiero and Bate, in the help files, or in the archive, or in my attempts on my own. My example follows: FACT is a factor with levels a,b,c

Hi, I'm trying to plot a "bubbles" plot wich I do with the cex argument. The problem is that it looks like it fails the conditioning and reuses the first 100 elements of the cex vector. See the code x <- rep(rep(1:10,10),2) y <- rep(rep(c(1:10),rep(10,10)),2) z <- rep(1:2,c(100,100)) w <- rpois(200,l=1) xyplot(y~x|z, cex=w) the plot has the same pattern in both sides

I want to use a strip.custom as with useOuterStrips for three conditioning variables. useOuterStrips restricts this to only two conditioning variables, and I cannot figure out how to write strip.custom properly to do this. library(lattice) mtcars$HP <- equal.count(mtcars$hp) #with two factors x2<-xyplot(mpg ~ disp | HP + factor(cyl), mtcars) useOuterStrips(x2) #with three factors

I know about the current.row, current.column, and panel.number functions that are useful within panel functions written for lattice. Are there easy ways to obtain the names of the conditioning variables (those appearing after |) and their values for the current panel? Thanks Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context:

I am wanting to generate panels showing scatterplots with the linear fitted line for two groups within each panel superimposed. I have two conditioning factors, "variable" and "Group" and I want separate panels for each level of "variable" with different symbols and "lmline"s for each level of "Group". However all observations for a group are

Hi, I have 10 panels in the "mypanel" function of my xyplot based on the conditioning variable and I want to print those ten values, panel headings, groups, .. whatever you want to call them. Easiest way please! Fayez [[alternative HTML version deleted]]

Due to an error on my part, I have renamed the previously attached file from T_5-04b_LTC-SE-SO-Compared.csv to T_5-04b_LTC-SE-SO-Compared.txt. It remains a comma-delimited file so the extension can be changed and used per the script, or loaded separately. My sincere apologies, Guy -----Original Message----- From: Guy Jett Sent: Friday, March 18, 2011 1:13 PM To: 'r-help at

Hello, I am afraid I do not fully understand all intricacies of programming in lattice plots. In the code below I try to plot an ROC curve, following R-news 4(1). When I condition on the variable 'group' I get the error message below, when I plot the curve for all data (i.e., y ~ pred.prob), I get the plot I want. Can someone point out why conditioning gives that message? Thanks, Ruud

I am running R 2.1.1 on a Mac g5 under Mac OS 10.4.2. I have an xyplot with a single conditioning variable (8 levels) . Here is the code for the conditioning variable used in the formula argument of xyplot: factor( drugauthoryear, levels = c( 'bupicapogna1999', 'levobenhamou2003', 'ropicapogna1999',

# I need to create an xyplot() where I control the specific order of # both my conditioning variables. The default code below plots the # data correctly (dispersed across all 14 columns), but fails in two # ways. Both the primary conditioning variable (Transect), and the # secondary conditioning variable (Offset) are in alphanumeric order, # rather than the specific order I need. # Here

Hi all, Using xyplot I want to print to Y variables (y1, y2) versus X, conditional on the group. How can I obtain a line (type="l") for one relationship (ie. y1 ~ x) and points (type="p") for the other (y2 ~ x) ? library(lattice) # create some sample data df<-data.frame(group=as.factor(c(rep("a",4), rep("b",4))), # grouping variable for conditional

I would like to add auxiliary information to the bottom of two strips on each panel that comes from a table look-up using the values of two variables that define the panel. For example I might panel on sex and race, showing 3 randomly chosen time series in each panel and want to add (n=100) in the bottom strip to indicate the 3 curves were sampled from 100. Is there a not-too-hard way to do

R-help, I'm using 'xyplot' in lattice package which plots length frecuencies by year (10). The order I get is not logical and the 'index.cond' argument to 'xyplot' is a bit cumbersome when it comes to plot a great deal of (in my case years). I have tried sorting the conditioning variable but still get the same result. Is there any easy way to do it without making use

Dear List, I am writing a custom panel function and xyplot method to plot the results of a procrustes analysis from the vegan package. I am having trouble getting the call to panel.arrows to work as I wish when conditioning. The attached file contains the function definitions for the xyplot method and the custom panel and prepanel functions I am using. This example, using data and functions from

Hi. Am brand new to R and to mailing lists - have never posted anywhere before, so hope I do this right. Am using R 2.9.1 with lattice graphics (just installed, fully up to date). Am doing trellis xyplot with y (emp=employment), x (yearmo=a time measure) and conditioning variable (indf - factor describing industry) -- i.e., (emp ~ yearmo | indf), where all three variables are in a dataframe. The

Say I have library(lattice) x<-runif(256) y<-runif(256) f<-gl(16,16) g1<-rep(1:4,each=64) g2<-rep(1:4,times=64) plot<-xyplot(y~x|f, groups=g1, pch=as.character(1:4), panel=function(x,y,subscripts,groups,...){ panel.superpose(x,y,subscripts,groups,...) }) print(plot) Currently, both