similar to: scatterplot (car) legend modification

hi, i am using this script on our webserver to plot data / draw ellipses for a flex movie... would like to add the areas of the ellipses to another legend just like the means for the distance. the data looks like: x (dispersion), y (distance), Club (name of the club for grouping) thanks, sam ## usage: Rscript nikeScatter.R infile outfile level1 level2 minX maxX minY maxY ## load

Dear all, I generated a Correlograms and used the panel.ellipse (confidence ellipse and smoothed line) option. Is there a way to get instead of the smoothed line the linear regression? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-and-linear-regression-tp2331071p2331071.html Sent from the R help mailing list archive at Nabble.com.

Hi, I'm using the R library(car) to draw confidence/prediction ellipses in a scatterplot. >From what i understood the ellipse() function return an ellipse based parameters: shape, center, radius . If i read dataEllipse() function i can see how these parameters are calculated for a confidence ellipse. ibrary(car) a=c(12,12,4,5,63,63,23) b=c(13,15,7,10,73,83,43) v <-

Hello, has anybody written a function to plot density ellipses (95%, 99% or anything) in a scatterplot? I found nothing in any package, nor in the list archives. There does seem to be a contributed package "ellipse" for S-Plus (on S-Archive), but it does a lot more than what I would need. Still, if anybody ported it to R, I'd be grateful for a link. I'm a bit afraid to try the

Hello, SAS' point and click interface has the option of produce a scatterplot with a superimposed confidence ellipse for the correlation coefficient. Since I generally like R so much better, I would like to reproduce this in R. I've been playing with the ellipse package. In order to have the points and the ellipse on the same graph I've done the following. (Load ellipse

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 trying to use scatterplot function in CAR like the following: scatterplot(X~Y) I want to label X points and Y ponits using the different color. Any idea for this? Aimin

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).

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

Network Blitz I'm trying to generate a graph to summarize Interest Rate Parity. This involves a scatterplot of x against y where the x and y limits are set so to center the graph on 0,0 and then adding each axis line and a 45 degree line. Using CAR's scatterplot (sample code below) everything except the axes plot fine: scatterplot( Interest.Rate.Dif ~ ForPrm| profit,

Hi Folks, Please, when I ask the option reg.line at the scatterplot in package car, the OLS models includes a constant? If not how can I do it sing the following code: scatterplot(lfirms ~ lscale, data=dataset, reg.line=lm, smooth=FALSE, labels=FALSE, span=0.5, xlab="Relative Plant Fixed Cost", ylab="Relative Number of Firms", pch=c(18),

scatterplot() is autogenerating a regression and loess line. I want to remove the loess line, but can only find samples for how to add it. I definitely do not have code that adds it (see below), so I am puzzling... scatterplot(Aroused ~ anxious | group, data=data, xlab="Aroused", ylab="Anxious", main="Arousal and anxiety ratings", xlim=c(0.5, 9.5),

Hello all! System: R2.0.1, W2k. All packages apdated with update.packages(). I use the default graphic device for my system (no active choice). I?m trying to fine-tune scatterplot() graphs (package car), for publication. I want to control plotting symbols and colours to match plots from other, less flexible, systems. I also need to make all text and symbols bigger, to enable printing of the

Hi, using scatterplot in 'car' package. There are 4 plots to be pictured together (ignore data used): library(car) par(mfrow=c(3,1)) ts.plot(rnorm(100)) ts.plot(rnorm(100)) scatterplot(rnorm(100),rnorm(100),boxplot="",smooth=T) # scatter with non-parametric fit problem is that the last one comes 'always' separate. Is there any way to solve it?? of course can use

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

R version 2.11.1 on WinXP How do I get 3 scatterplots with marginal boxplots (from the car package) onto a single plot? I have a data frame called bank > dim(bank) [1] 46 5 head(bank) x1 x2 x3 x4 pop 1 -0.45 -0.41 1.09 0.45 0 2 -0.56 -0.31 1.51 0.16 0 3 0.06 0.02 1.01 0.40 0 4 -0.07 -0.09 1.45 0.26 0 5 -0.10 -0.09 1.56 0.67 0 6 -0.14 -0.07 0.71 0.28 0

Hi, This is not a HW problem, sadly: I was last in a classroom 30 years ago, and can no longer run off to the instructor :-( I apologize but I cut and paste the wrong snippet earlier and made a typo in doing so, but the result is the same with the more appropriate snippet. require(mvtnorm) require(ggplot2) set.seed(1234) xx <- data.frame(rmvt(100, df = c(13, 13))) v <- ggplot(data = xx,

library(mvtnorm) # you were misusing "require"... only use require if you plan to library(ggplot2) # test the return value and fail gracefully when the package is missing set.seed( 1234 ) xx <- data.frame( rmvt( 100, df = c( 13, 13 ) ) ) xx2 <- expand.grid( X1 = seq( -5, 5, 0.1 ) # all combinations... could be used to fill a matrix , X2 = seq( -5, 5, 0.1 )

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,

Hi R users The scatterplot (used package R-Cmdr ) obtained has the legend off the plot in the upper left I would like to decide where to put the legend - is that option still available and how do I do it? code: Dataset <- read.table("J:/Pigmatingsb.txt", header=TRUE, sep="\t", na.strings="NA", dec=".", strip.white=TRUE)