similar to: Lattice Groups

I am using the code example from the R graph gallery to look at a cloud plot: require(lattice) data(iris) print(cloud(Sepal.Length ~ Petal.Length * Petal.Width, data = iris, groups = Species, screen = list(z = 20, x = -70), perspective = FALSE, key = list(title = "Iris Data", x = .15, y=.85, corner = c(0,1), border = TRUE,

Hello all, I want to draw a grid behind my graphes, using lattice package. I manage to do it with instructions like this one : xyplot(Sepal.Length + Sepal.Width ~ Petal.Length , data = iris, allow.multiple = TRUE, scales = "same",type="l", panel = function(...) { panel.grid(h=-1, v= -1) ; panel.superpose(...) } ) I was wondering if there were a way to do it

Hi! Probably a simple question, but I can't get any tick marks in the 3d scatterplot I created using the cloud function. The following works to display the three groups using different symbols: data(iris) cloud(Sepal.Length ~ Petal.Length * Petal.Width, data = iris, cex = 1.2, groups = Species, pch = c(16,1,1), col = c("black","black","red"), subpanel =

Hopefully I will not be flamed for this on the list, but I am starting out with R and having some trouble with combining plots. I am playing with the famous iris dataset (checking out example dataset in R while reading through Introduction to datamining) What I would like to do is create three graphs (combined boxplots) besides each other for each of the three species (Setosa, Versicolour and

Hello everyone I have dataset containing a monetary value (ABS) and two factors (Fct, Group). I am able to create useful using: bwplot(ABS~Group|Fct) and dotplot(ABS~Group|Fct) Question: What do I have to do to overlay the dotplot with the bwplot (same data set)? I've found a couple of posts that hinted at the possibility of doing that, and checked the panel.superpose() help, but the info

Hi, How does one change the dot for the median in a boxplot drawn using lattice? I have been looking at > names(trellis.par.get()) [1] "grid.pars" "fontsize" "background" [4] "panel.background" "clip" "add.line" [7] "add.text" "plot.polygon"

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 everyone I have dataset containing a monetary value (ABS) and two factors (Fct, Group). I am able to create useful using: bwplot(ABS~Group|Fct) and dotplot(ABS~Group|Fct) Question: What do I have to do to overlay the dotplot with the bwplot (same data set)? I've found a couple of posts that hinted at the possibility of doing that, and checked the panel.superpose() help, but the

Hi, There's probably some simple way of doing this, but I'm just not seeing it - How do I get the background to be white instead of grey when I have a cloud plot (using the lattices package)? par(bg="white") isn't working. I'm assuming par commands won't work on lattice plots. What should I use instead? Thanks, Adrienne [[alternative HTML version deleted]]

Dear all, I would like to have the same color for the all boxplots from the same panel, but my code below shows the two colors alternating. Thanks! set.seed(42) D1 <- rnorm(200) D2 <- factor(sample(letters[1:2],200,TRUE)) D3 <- factor(sample(letters[3:5],200,TRUE)) DF <- data.frame(x=D1,a=D2,b=D3) print(bwplot(b~x|a,data=DF,col=c("black","black"),

Dear all, I have a script about iteration classification, like this below data(iris) N <- 5 ir.tr.iter <- vector('list',N) ir.tr <- vector('list',N) for (j in 1:N) { ir.tr[[j]] <- rpart(Species ~., data=iris) ir.tr.iter[j] <- ir.tr[[j]]$frame result <- list(ir.tr=ir.tr, ir.tr.iter=ir.tr.iter) } as.data.frame(as.matrix(ir.tr.iter))

Hi. I'm embarking on my first attempt at creating my own panel function for lattice graphics, and despite all of my online research and pouring through the documentation, I cannot figure out how to solve my particular problem. Hopefully, a generous fellow R user can help. I have some data that is split into two groups: some "actual" data, and some simulated data,

Hi list, One of my co-workers found this problem with 'cor' in his code and I confirm it too (see below). He's using R 2.2.1 under Win 2K and I'm using R 2.3.0 under Win XP. =========================================== > R.Version() $platform [1] "i386-pc-mingw32" $arch [1] "i386" $os [1] "mingw32" $system [1] "i386, mingw32" $status

Greetings R experts, I'm having some difficulty recovering lda objects that I've saved within sublists using the save.image() function. I am running a script that exports a variety of different information as a list, included within that list is an lda object. I then take that list and create a list of that with all the different replications I've run. Unfortunately I've been

Hi everyone, I would like to identify the case by groups that is just bigger that avg plus sd. For example, using species as group and petal.wid as my variable in the iris data. What's the better way to doit? creating a function? So,the question is to identify the single element of each species that is just larger than a cut-off point (i.e. larger than mean + sd) I made this, but I can not

Hi! The kernlab function kpca() mentions that new observations can be transformed by using predict. Theres also an example in the documentation, but as you can see i am getting an error there (As i do with my own data). I'm not sure whats wrong at the moment. I haven't any predict functions written by myself in the workspace either. I've tested it with using the matrix version and the

Hello, I'll use part of the iris dataset for an example of what I want to do. > data(iris) > iris<-iris[1:10,1:4] > iris Sepal.Length Sepal.Width Petal.Length Petal.Width 1 5.1 3.5 1.4 0.2 2 4.9 3.0 1.4 0.2 3 4.7 3.2 1.3 0.2 4 4.6 3.1 1.5

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 =

Hi Dieter and R community: I tried both of these three versions with ylim as suggested, none work: I am getting only single (pch = 16) not overlayed (pch =3) everytime. *vs 1* require(lattice) xyplot(Sepal.Length ~ Sepal.Width | Species , data= iris, panel= function(x, y, subscripts) { panel.xyplot(x, y, pch=16, col = "green4", ylim = c(0, 10)) panel.lmline(x, y, lty=4, col =

Dear all What is the easy way to drop a variable by using its name (and not its number)? Example: > data(iris) > head(iris) Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa 3 4.7 3.2 1.3 0.2 setosa 4 4.6 3.1