similar to: Limiting size of pairs plots

The following command produces red axis line in a pairs plot: pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species", pch = "+", col = c("red", "green3", "blue")[unclass(iris$Species)]) Trying to fool pairs in the following way produces the same plot as above: pairs(iris[1:4], main = "Anderson's Iris Data -- 3

Hi list, not sure if this is the wanted behavior, but running the following code: > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.1 year 2005 month 06 day 20 language R > n <- 500 > d <- 4 > m <- matrix(runif(n*d, -1, 1), ncol=d) > c <- hsv(apply(m, 1, function(x) {sum(x*x)/d}),

Hi list, not sure if this is the wanted behavior, but running the following code: > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.1 year 2005 month 06 day 20 language R > n <- 500 > d <- 4 > m <- matrix(runif(n*d, -1, 1), ncol=d) > c <- hsv(apply(m, 1, function(x) {sum(x*x)/d}),

Hi, Is it possible to create a legend in a pairs() plot? For example, suppose I have the following R codes: data(iris) pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species", pch = 21, bg = c("red", "green3", "blue")[codes(iris$Species)]) How can I created a legend that shows which colour represents to which Iris species? Thanks,

Dear R Users, I am quite surprised to see that mtext gives different results when it is used with 'pairs' and with "plot'. In the two following codes, it seems that the 'at' argument in mtext doesn't consider the same unit system. I would appreciate your comments on this issue. Sebastien ##### Pairs mydata<-data.frame(x=1:10,y=1:10) par(cex.main=1,

Hi there, I got a piece of code for the Iris data which allows to display correlation coefficients for each Iris species in the lower panel (color coded). I would now like to add e.g. a "*" to show the significance of each correlation next to the correlation coefficient. Furthermore I would like to make a t.test between the species "setosa" and "versicolor" for

Hi, there: Does anyone know how to specify the ranges in the axises when I make scatter plots using pairs()? In the general plot function, I can use xlim and ylim option. But how can I do this if I use pairs()? Thanks. Yulei [[alternative HTML version deleted]]

Does anybody know how to make pairs graphics with dots of different colours depending on the value of a categorical variable ? Thanks, Arnaud ************************* Arnaud DOWKIW Department of Primary Industries J. Bjelke-Petersen Research Station KINGAROY, QLD 4610 Australia T : + 61 7 41 600 700 T : + 61 7 41 600 728 (direct) F : + 61 7 41 600 760 **************************

Hi, I am trying to create a plot with pairs() using a gplot.hexbin() for each pair. For pairs I can provide a custom upperPanel function: pairs(iris[1:4], panel=mypanel) and mypanel() calls plot.hexbin(): library(hexbin) # Bioconductor mypanel <- function(x, ...){ hb <- hexbin(x) plot(hb) } The problem is that gplot.hexbin() is based on the

I have the following problem. I want to use pairs function and get a matrix of scatterplots with the correlations in the upper panel and the ordinary scatterplots in the lower panel. Moreover, I want to have points colored in five differet ways in the lower panel, because I have five subgroups. In order to do that I tried to combine examples on pairs function help. I got a colored matrix

Hi, I'm using mda library to solve a discriminant analysis. I get results, but the thing is that I want to use Fisher's method to obtain the classification functions and I'm lost in what I should do: libraries to use, ... Can anybody give me a clue?? Thanks. Carlos Niharra L??pez

Hi, I'm trying to create a plot using pair. Currently I'm doing the following pairs(~mpg + hp + wt , data=cars, labels = c("Miles per Gallon","Horsepower","Weight"),pch = c(24,25)[unclass(cars$tr + 1)], bg = c("red", "green3")[unclass(cars$tr + 1)],panel=panel.smooth) for the attached dataset. However,instead of using panel.smooth I

dear R gurus, I repeatedly run into this problem, maybe there's an easy way to solve it. I want a composite plot with multiple graphs that share the same axis, similar way as done by the pairs() (eg. like this here http://www.r-project.org/screenshots/iris-pairs.jpg). all plot panels shall have the same size, but there need to be extra space at the outside of the whole graphic to label the

Hi - I would like to create a scatterplot with the symbols coded by a factor in each record. Is their a better way than what I have used below? I attempted to use the plot.factor, but cannot force it to make a scatterplot instead of boxplots. I have considerd making a function with a 'for' statement for each level of the factor. Is there a better way for when I am dealing with more

Hi Im trying to save a plot both to a pdf and as just a picture but without success so if someone can help me I would be happy :) my code: require(party) irisct <- ctree(Species ~ .,data = iris) data(iris) attach(iris) pdf('/home/joel/Skrivbord/mammamu.pdf') try(png('/home/joel/Skrivbord/mammamu1.png')) plot(Sepal.Length, Petal.Length, col=unclass(Species)) legend(4.5, 7,

Hello I need to plot 3 graphs in a single column; the top two plots have the same title, and I would like it to be written only once, centered horizontally and spanning the two plots. Something like t +------------+ | | i | | | | t +------------+ l +------------+ | | e | | | | 1 +------------+ t

Hi, How can I overlap two density plots? A <- c(8,10,10,11,11,11,12,12,12,12,11,11,11,10,10,7) B <- c(11,13,13,14,14,14,15,15,15,15,14,14,14,13,13,10) plot(density(A)) plot(density(B)) Regards, Emre P.S. There's a overlap.density function in package DAAG Is there another way to do this? -- --- Emre ÜNAL http://www.geocities.com/dusemre [[alternative HTML version

I propose the following small changes to pairs.default. The point is to allow control of the outer margin settings, so that there is for example room for legends. [Note also the issue re the setting of par()$usr on exit] ---------------------------------------------------------------- (1) Replace function (x, labels, panel = points, main = NULL, font.main = par("font.main"),

Hi everyone, Is there any reason why we should not automatically coerce a factor supplied as an argument to col in a plotting function? The following modification (to R-1.6.1) seems pretty harmless > plot.xy function (xy, type, pch = 1, lty = "solid", col = par("fg"), bg = NA, cex = 1, ...) { if (is.factor(col)) col <- codes(col)

Unlike R 2.1.1, version 2.2.0 generates warnings when an 'oma' argument as passed to pairs(): A <- rnorm(100) B <- rnorm(100) pairs(cbind(A,B)) # no warning pairs(cbind(A,B), oma=c(6,8,10,12)) # warnings in R 2.2.0 I think pairs() should draw the plot quietly, without warnings. Can't see anything in the documentation indicating that an