similar to: Overlaying 2D kernel density plots on scatterplot matrix

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

Dear R- experts, I am trying to superimpose two or more scatterplot matrices generated by pairs() to visualize the differences over each datasets, but have not been very successful. Two data frames, df1 and df2 for example, each has the same five variables in columns. My goal is to paint each dataset with a color on the same plot panel for each pair of the five variables. That is, in this

Is there any way to make the points on my scatterplot matrix correspond to numbers instead of dots? I know how to do this on a regular 2-variable scatterplot but not on the matrix. Thanks! -Lydia [[alternative HTML version deleted]]

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

Does anybody here have a suggestion for a clever way of creating contour plots for estimated bivariate density functions conditional on a factor? The contourplot function in the 'lattice' package only accepts data that are on the form 'z ~ x * y', not on the form 'x,y' or 'y~x'; otherwise I could probably have used the panel function to do the needed conversion.

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

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

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

Hi, I am wondering if anybody has experience with scatterplot matrices where some (but NOT all) axis are transformed and the labels are nicely plotted. So far I looked into 1) pairs() 2) scatterplotMatrix() from package 'car' 3) splom() from packagae 'lattice' 4) plotmatrix() from 'ggplot2' I can see no easy way to get what I want which is: *) a scatterplot matrix of

I am having difficulty getting D2 w/ LOD 1.12 to run in colour through wine. I am running a ASUS eeepc 701 w/ the cpu running at 900mhtz and 2gb of ram. OS is Ubuntu 9.10 netbook edition and the game is installed on a Western Digital Elements 1tb hdd connected through usb 2.0 and I had to install the GLIDE3toOpenGL-wrapper v 1.4d to get it to run at all. The game runs fine, considering the

Hello, I'm trying to pull off a certain graph using splom, and can't quite get my panel functions right. Basically, the equivalent using pairs would be something like this (using iris data set as an example): panel.corval <- function(x, y, digits=2, prefix="", cex.cor,col,pch) { usr <- par("usr"); on.exit(par(usr)) par(usr = c(0, 1, 0, 1))

Hello all, I'm trying to graph a scatterplot of a large (5,000 x,y coordinates) of data with the caveat that many of the data points overlap with each other (share the same x AND y coordinates). In using the usual "plot" command, > plot(education, xlab="etc", ylab="etc") it seems that the overlap of points is not shown in the graph. Namely, there are

I'm working with a lot of data right now, but I'm new to R, and not very good with it, hence my request for help. What type of graph could I use to straighten out things like... http://r.789695.n4.nabble.com/file/n3711389/Untitled.png ...this? I want to see general frequencies. Should I use something like a 3D histogram, or is there an easier way like, say, shading? I'm sure these

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=,

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

Hello- I'm new to R, coding and stats. (Oh no.) Anyway, I have about 12000 data points in a data.frame (dealing with dimensions and geological stage information for fossil protists) and have plotted them in a basic scatter plot. I also added a boxplot to overlay these points. Each worked fine independently, but when I attempt to superimpose them with add=true, I get a different scale for

Hello R folks, I am encountering a problem with the following scatterplot function from the car package: > scatterplot(y~x|z) where y and x are continuous (interval) random variables and z is a categorical variable. When z is a categorical variable coded 1 or 2, I (appropriately) get a scatterplot of y by x, coded by z. Similarly, when z is a categorical variable coded 1, 2, or 3, there is

Dear R helpers I'm attempting to create a matrix of scatterplots with X-Y mean lines and regression lines added to each plot in the matrix. I have managed to create the first plot I would like using scatterplot but have run into an odd result when I use par() to set up the page to take multiple plot. Specifically, the mean and regression lines appear to plot in the second plot window, not

Thanks to David and Jorge - both of your helpful suggestions got me to the desired endpoint. In case anyone else has this question: I boxplotted my y variable data, but did the "cut" operation on the x variable in order to conserve the order of the y data. I see another suggestion coming in from another user that basically says this. So, my working line of code was: boxplot(count$RPKM