similar to: Scatterplot Matrix

Hi all We are pretty new to R here and trying to achieve something that we believe is possible but it?s not easy to work out how to do it. We are producing scatterplot matrices for e.g. 10 variables. What we would like to do is superimpose 2D kernel density estimators on top of each plot so that we end up with a scatterplot matrix of 2D kernel density (contour) plots. The kernel density plots

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

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"))

Hello R users, I have some troubles to modify the "per default" legend in the scatterplot.matrix using the car package. Here is my code: -------------------------------------------------------------------- scatterplot.matrix(~ a + b + c, groups=treatment, by.groups=F, data=newfile3, smooth=T, pch=c(16,4), cex=1.3,

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 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, 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'm using pairs() to generate a scatterplot matrix; pairs(~ Fuzzy.gray.white.ratio+Fuzzy.gw.t.score+AgeWhenTested+signal_mean.noise, data=datam,subset=status=="control",main="Controls", labels=c("G/W","Peak Separation","Age","S/N")) How can I add regression lines to the plots?

Hello guys, I have this data set that I imported into R using a line: This data set consists of 7 columns. The two important columns are the first one called 'thrust' and the last one called 'amtemp'. jet<-read.table("jetthrust.txt", fill=T, head=T) I am making a scatterplot matrix simply using the line "pairs(jet)" The problem is that in the last

I've got a data frame with 23 columns, and wanted to plot a scatterplot matrix of it. I called pairs( df ) where 'df' is my data frame. This did generate the matrix, but the plotting window did not expand to make the individual plots large enough to see. Each one was only about 10 pixels high and wide. I tried sending the plot to a file, with a high and wide image, by doing

(I have checked the 2000 &2001 archives) Awhile ago, someone posted a function to plot a scatterplot matrix with the upper triangle containing plots (and maybe fitted curves?) and the lower triangle containing the correlation coefs. I have lost that code and would love it again if anyone has it. Thanks, Henry ***************************** Martin Henry H. Stevens HStevens at muohio.edu tel:

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

I am getting an error message from scatterplot: > library(car) > scatterplot(Prestige$income~Prestige$type) Error in Summary.factor(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, : range not meaningful for factors In addition: Warning message: In Ops.factor(x[floor(d)], x[ceiling(d)]) : + not meaningful for factors > The command does output the kind of graph that I want (boxplots).

have a data frame composed of many columns. I would like to hold one column constant and scatter plot it agianst all of the other columns? how do I do this? I have only been able to plot(x) and use indexes to create an entire scatterplot matrix, but not hold one constant. -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do

Hi R-listers, Q1) What is the difference between the scatterplot and plot function? Q2) I am able to make a graph with the scatterplot function: scatterplot(DevelopIndex ~ Veg, + data = Turtle, + xlab = "Vegetation border (m)", + ylab = "Embryonic development index") And have been successful. But I do not know if the lines are for:

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))

Hi my friends, I'm trying to make a scatterplot like this. 1) I have a 3-variable dataset. They are ID, x, and y. 2) "x" is for the X-axis, "y" for the Y-axis, and "ID" is used to label all the cases in the scatterplot. 3) After creating the scatterplot, I need to add both a X-axis reference line and a Y-axis reference line. The X-axis reference line is a

I am running R version 2.15.1 in Windows XP I am having problems with a function I'm trying to create to: 1. subset a data.frame based on function arguments (colname & parmname) 2. rename the PARMVALUE column in the data.frame based on function argument (xvar) 3. generate charts plotvar <- function(parentdf,colname, parmname,xvar,yvar ){ subdf <-

Hello Everyone- I'm in the process of slowly learning R and am having a little bit of trouble plotting an extra line onto a scatterplot. I'm sure the answer is quite simple but I am stumped. The code I am using is: headways <- read.table("headways.csv", header=TRUE, sep=",", na.strings="", dec=".", strip.white=TRUE) plot.new()

Dear all, I'm trying to use "scatterplot" from package "car" to get a scatterplot with row-names as labels and I want my data to be divided into two groups defined by the column "tresh". Leaving away the groups-command gives me the right labels but they are not distinguished by colors according to "tresh". Does anybody know why the following example