similar to: How to access the panel rows/columns in pairs()?

Dear expeRts, I would like to colorize the backgrounds of a pairs plot according to the respective panel number. Here is what I tried (without success): count <- 0 mypanel <- function(x, y, ...){ count <<- count+1 bg. <- if(count %in% c(1,4,9,12)) "#FDFF65" else NA points(x, y, cex=0.5, bg=bg) } U <- matrix(runif(4*500), ncol=4) pairs(U, panel=mypanel) I

Dear ExpeRts, I have the scatter plot matrix as given below. I would like the different "sub-plots" in the scatter plot matrix to be colored differently. How do I get all points shown in the upper-left plot (on position (1,1) in the scatter plot matrix) to be plotted in blue, and the points shown in the plot to the right (on position (1,2) in the scatter plot matrix) to be plotted in

Hi, I am trying to create a plot with pairs() using a gplot.hexbin() for each pair. For pairs I can provide a custom upperPanel function: pairs(iris[1:4], panel=mypanel) and mypanel() calls plot.hexbin(): library(hexbin) # Bioconductor mypanel <- function(x, ...){ hb <- hexbin(x) plot(hb) } The problem is that gplot.hexbin() is based on the

I have two data sets with locations, X, Y of houses (df.house) and habitats(df.habitat), respectively. In each dataset, there are 3 replicates (Repeat). Because each replicate has different locations of houses and habitats, I would like to plot them in panels. I wrote something like this: mypanel<-function(x,y,subscripts,...){ panel.xyplot(x,y,pch=20) panel.xyplot(

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 <-

Dear R-experts, I have found a splom-modification online which is given below. This works perfectly, but I would like to have a matrix of given correlation values to be used in the lower triangular part (lower.panel) of the splom-plot instead of calculated correlation values. Here is the matrix I would like to use (it can be any other convenient data structure):

Dear expeRts, I would like to color a certain region in a levelplot. The region for z <= 0.02 should have a dark gray color. Below is a minimal example. It almost does what I want, but The region between z=0.02 and z=1 is also colored in dark gray (instead of just the region for z <= 0.02). How can I solve this? Cheers, Marius ## z values for given x and y f <- function(x)

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]]

Dear r-help, Sleep-deprivation from having 2 youngsters under 2 around the house is fuzzing my brain, so please be gentle if the answer to this query is obvious! In the example below, I'm trying to use grid.rect to add grey rectangles to the panels of a lattice plot to indicate which months spawning occurred of a (very cute) native Tasmanian fish. The fish in the two lakes spawned at

Hello, I would like to create a sequence of plots (using a for loop). I read in the FAQ that print() has to be used in order to obtain any output. This works perfectly fine as long as I only consider one function call in the loop, but I would like to add mtext() to the each plot in the loop. Unfortunately, this did not work. Any suggestions? As you can see from the provided example,

Dear expeRts, In the minimal example below, I have a data.frame containing three "blocks" of years (the years are subsets of 2000 to 2002). For each year and block a certain "value" is given. I would like to create a matrix that has row names given by all years ("2000", "2001", "2002"), and column names given by all blocks ("a",

Hi, I have modified the USJudgeRatings data (available in R) to illustrate my question. # Use the first 4 variables of USJudgeRatings and add a group variable with two levels USJudgeRatings <- USJudgeRatings[,1:4] USJudgeRatings$group <- factor(c(rep(1, 22), rep(0, 21))) # I can draw a pairs graph where members of each group are drawn in different colors: pairs(USJudgeRatings[,1:4], col

I wish to display a single-panel Lattice figure with grouped data and fitted regression lines. I don't seem to be able to get the individual regression lines to display, e.g.; d <- data.frame(q = rep(1:6, each=10), cc = rep(seq(10,100, 10),6)) # create data frame with group identifier 'q', independent variable cc d$ba = d$q*0.1*d$cc + 5*rnorm(nrow(d))

Hi, I have a data.frame df with names(df) = c("Var1", "Var2", "Var3", "Var4") and I plot data with xyplot(Var1+Var2~Var3|Var4, data=df) I want to use different panel functions for Var1 and Var2. How can I do ? Something like : panel.mypanel = function(x, y, ...) { if (Var1) panel.Var1Panel(x, y, ...) else panel.Var2Panel(x, y, ...) }

Dear expeRts, How can I get ... (1) different y-axis scales for each row (2) while having the same y-axis scales for different columns? I coulnd't manage to do this with relation="free" [which gives (1) but not (2)]. I also tried relation="sliced", but it did not give the same y-axis scales within each row (see the fourth row). Further, it "separates" the

Dear expeRts, I have two matrices A and B. They have the same number of columns but possibly different number of rows. I would like to compare each row of A with each row of B and check whether all entries in a row of A are less than or equal to all entries in a row of B. Here is a minimal working example: A <- rbind(matrix(1:4, ncol=2, byrow=TRUE), c(6, 2)) # (3, 2) matrix B <-

Hello, I can't figure out how to use the upper.panel and lower.panel options in pairs to alter the label options for either panel independently of the other. I would like to be able to show the pairwise scatter plots for the data as they are (a vanilla pairs plot?) but separately to be able to label the points according to a factor level. It is easy enough to do this independently, but I

Dear expeRts, I would like to create a scatter plot matrix with splom(). The lower panel should contain some additional information about the samples shown in the upper panel plot, see the splom() call below. Now two questions came up: (1) The lower panels show "tau" and "alpha" on top of each other. How can I plot *three* expressions on top of each other? I tried several

On Tue, Feb 3, 2015 at 10:39 AM, Marius Hofert <marius.hofert at uwaterloo.ca> wrote: > Hi, > > This is most likely only a minor technicality, but I saw the > following: On page 6 of the 'parallel' vignette > (http://stat.ethz.ch/R-manual/R-devel/library/parallel/doc/parallel.pdf), > the random-number generator "L'Ecuyer-CMRG" is said to have seed >

I am attempting to add controls inside a Wx::Grid. I added a Wx::Panel as a child of the grid, then added a control to that panel. In the actual code, the child panel would be sized and located inside a single grid cell, but I simplified the example code. On linux with GTK, this code performs as expected--you get a green panel with a clickable button in it. On windows XP, however, the grid and