similar to: panel.pairs in splom

I thought one nice addition to a splom figure would be to have the scatterplots in the upper triangle and a color-coordinated correlation matrix on the bottom. So I tried my hand at customizing panel.pairs(), and was rebuffed. Many times. Four hours of fruitless debugging later, I turn to you for help: panel.pairs(z=teststatfull[,6:12], pscales=0, panel.subscripts=FALSE, subscripts=,

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

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 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

Hi, I am trying to produce a 30x30 lattice grid. The 30 variables naturally fall into three groups of ten and I would like to add thicker axis lines around these to highlight this. However, I can only do this separately, so far, and I don't know how to superimpose the grid with the thicker lines (separating the 10x10 groups) onto the overall grid of all 30x30 plots. I enclose a

Hi, When using splom() in the lattice package, I would like to be able to access the row and column number of each individual pairs plot , similar to the way that current.row() and current.column() can be used in other lattice plotting functions such as xyplot. For example, I would like to be able to write something along the lines of library(mvtnorm) library(lattice) y <-

Sorry Folks, I'm sure I could suss out the answer myself but I need it soon ... ! 1. Given a set of 4 variables X,Y,Z,W in a dataframe DF, I make a scatter-plot matrix using splom(DF). 2. I do all regressions of U on V using lm(U~V), where U and V are all 12 different ordered pairs from X,Y,Z,W. 3. Now I would like to superpose the regression lines from (2) onto the corresponding

Dear R Users, When plotting with "splom" I tried to use the pscales=list(...) feature Unfortunately it didn't work at all. Instead the scales always were suppressed. So I looked at the source of panel.pairs and found: "draw <- is.numeric(pscales) && pscales != 0" which rather has to be: "draw <- is.list(pscales) || (is.numeric(pscales) &&

Hello list, I am looking to create a figure for my dataset using splom, where there is a splom subplot for each level of a factor within, for example, a 2x2 layout. For each subplot, I wish to put the r-value between each variable pair in the lower panel. The code I have thus far is below, using the iris dataset so that it is reproducible. This almost does what I want, but for some reason

I believe the problem is here: cor1 <- cor(x1, y1, method="spearman") cor2 <- cor(x2, y2, method="spearman") The x's and y's are not looked for in data (i.e. NSE) but in the environment where the function was defined, which is standard evaluation. Change the above to: cor1 <- with(d, cor(x1, y1, method="spearman")) cor2 <- with(d, cor(x2, y2,

Given four known and fixed vectors, x1,x2,x3,x4, I am trying to generate a fifth vector,z, with specified known and fixed partial correlations. How can I do this? In the past I have used the following (thanks to Greg Snow) to generate a fifth vector based on zero order correlations---however I'd like to modify it so that it can generate a fifth vector with specific partial

R-Experts, Here below my R code working without error message but I don't get the results I am expecting. Here is the result I get: [1] "All values of t are equal to 0.28611928397257 \n Cannot calculate confidence intervals" NULL If someone knows how to solve my problem, really appreciate. Best, S ######################################################### # Difference in Spearman

Dear list, I want to plot several variables with splom and in the main diagonal, instead of the variable names, I'd like to plot an histogram of corresponding variables. Searching I did not find the correct syntax, only some tips in an old post in the list, but this comments help to plot only density lines instead of histograms. I had some code, but it fails to plot (I've commented the

Dear expeRts, how can I decrease the space between the tick marks and the corresponding labels in an splom? See here: library(lattice) U <- matrix(runif(4000), ncol = 8) splom(U, axis.text.cex = 0.2) # => space between the [small] tick labels and tick marks is/seems to be too large I checked ?panel.pairs but could not find an option for that. Cheers, Marius

Hi everyone: I'm using "splom" to draw scatterplot matrix. I'm wondering how can I change the axis labels to c(1,10,100,1000,...) instead of c(1,2,3,...), and also how can I change the text size (for labels)? Thanks a lot! xcui

Hi, Kindly let me know if I posted a wrong question in the forum. I want to draw a splom plot with different symbols in plot. My command is as follows: splom(~ log10(splomData[2:3]), groups = programs, data = splomData, panel = panel.superpose, key = list(title = paste(splomLoop,"Programs of Hog Analysis (Sorted by LR(GB))"), panel = panel.superpose, columns =

Hello everyone, I'm stumped. I'd like to create a scatterplot matrix with circular reference lines. Here is an example in 2d: library(ellipse) set.seed(1) dat <- matrix(rnorm(300), ncol = 3) colnames(dat) <- c("X1", "X2", "X3") dat <- as.data.frame(dat) grps <- factor(rep(letters[1:4], 25)) panel.circ <- function(x, y, ...) { circ1

Hello, I am in need of help in putting histograms on the diagonal of a plot produced with splom(). The plot matrix I am trying to produce is to have standard scatterplots in the upper-left triangle, contour plots in the lower-right triangle, and histograms on the diagonal. I have a function that does the first two, but the histograms on the diagonal has been beyond my ability. Here is my

Hello R list, I have a little problem with splom. I'd like to wrap it in a function, for example: multi.scatterplot <- function(data,groups,cols,colors) { splom(~data[,cols], groups = as.symbol(groups), data = data, panel = panel.superpose, col=colors) } and then call it like in multi.scatterplot(iris,"Species",1:4,c("green","blue","red"))

Context: Windows XP, R 1.8.1 I'm studying Venables-Ripley "MASS" book and having a go at the many examples in library MASS. The code I'm checking (from script ch04.R) now is ...... data(swiss) splom(~ swiss, aspect = "fill", panel = function(x, y, ...) { panel.xyplot(x, y, ...); panel.loess(x, y, ...) } ) which produces an agreable plot with a gray