similar to: rug() colors

Hello, I have some trouble in achieving the desired parametrisation for the weka classifier functions, using the package RWeka. The problem is, that the functions result=classifier(formula, data, subset, na.action, control = Weka_control(mycontrol)) do not seem to be manipulated by the mycontrol- arguments Perhaps this should be resepected via the handlers- argument , but the

Hi I could only find some discussion on this wrt lattice graphics (which I'm not using). Apologies if I'm missing something obvious. I'd like to produce 3 rug plots under a kernel density plot for a population. The population is subdivided into 3 subpopulations, which I'd like the rug plots to highlight. Naturally, when I do 3 rug plots, they all plot over each other.

Hello R-Members, can anyone explain the difference between multiple and multivariate regression to me in terms of the terminology and eventually its respect to the mathematical foundation respectively ? Is multiple regression perhaps more related to GLM and multivariate Regression rather applied, if there are no explizit numeric factor levels ? Thanks for elucidations on that topic. Many

Hi All, I'm trying to add a 'rug' representation of my data to a plot created with densityplot(). While I can do this in the simple case, I can't do it properly when I include the "groups" argument. I have an example below. I am running a reasonably new version of R. print(sessionInfo()) R version 2.12.0 Patched (2010-11-07 r53537) Platform: i686-pc-linux-gnu

Hello, I remarked that the function ## Default S3 method: text (x, y = NULL, labels = seq(along = x), adj = NULL,pos = NULL, offset = 0.5, vfont = NULL,cex = 1, col = NULL, font = NULL, ...) accepts vectors of arguments (of the same length) except for the parameter adj. When passing a vector of information for adjusting the labels, only the first value is taken. Any special reason for this ?

Hi all, I have a (hopefully quick) question. I've got a fascinating set of fitted surfaces in three dimensions corresponding to local linear multiple regressions. I'd like to add rugs to the X and Y axes (corresponding to my independent variables) in order to get a sense for how many data points I'm working with to graph various portions of the surfaces. The trouble is, I can't

Dear R list members, I'd like to produce rug plots at the bottom of panels in a trellis display (using the lattice package), but par("usr") doesn't return user coordinates for panels, and consequently rug fails, as the following example (suggested to me by Georges Monette) illustrates: > x <- rnorm(50) > y <- rnorm(50) > f <-

To wit: > plot(1:2,1:2,log="x") > rug(1:2) # should not warn Warning message: some values will be clipped in: rug(1:2) > plot(1:2,1:2,log="x") > rug(c(0,.1,.2)) # should warn, but does not > I believe this fixes the problem: % diff -c /tmp/orig.rug.R /tmp/cberry.rug.R *** /tmp/orig.rug.R Thu Nov 29 12:59:00 2001 --- /tmp/cberry.rug.R Thu Nov 29

Hello, I'm trying to plot a historgram with a density plot superimposed: hist(x, seq(-1, 1, by = 0.1), prob = T, col = "blue") lines(density(x, bw = 0.1)) rug(x) I don't want to add rug(x) but the histogram will not be plotted unless rug(x) is there. It does not work if the "hist" line alone is present. Can you help? Thanks, Kim [[alternative HTML version

rug() may add integer axis labels when called with a POSIXlt object as argument. dtimes <- c("09/29/2007 12:54", "09/30/2007 00:14", "10/01/2007 00:14", "10/02/2007 00:14", "10/03/2007 00:14", "10/04/2007 00:14", "10/05/2007 00:14", "10/06/2007 00:14", "10/07/2007

Dear R graphics experts, Do you know of any way of plotting semi-transparent points in R ? I face this problem any time I want to e.g. plot thousands of points that belong to two or three classes which I color code. With the default opaque colors, the plotting order matters and basically the points I plot last completely dominate the picture. I would much rather have the overlaying points

Dear R-help Can anyone tell me why my curve appears the wrong way round on a rug plot? I am using the same code as on pg 596 of the Crawley R-book. mod<-glm(mort~logBd,binomial) par(mfrow=c(2,2)) xv<-seq(0,8,0.01) yv<-predict(mod,list(logBd=xv),type="response") plot(logBd,mort) lines(xv,yv) I've tried swapping xv and yv around but no luck. Thanks, Pete

Hello, I'm doing some graphics for a paper and a need customize such with filled region above the density curve. My attempts I get something very near what I need, but I don't solve the problem of use semitransparent filled. Below a minimal reproducible code. Someone has any idea? require(lattice) # toy data... dt <- expand.grid(A=1:2, B=1:3, y=1:50) dt$y <- rnorm(nrow(dt), dt$B,

Hi! (a complete newby, but will not give up easily!) I was wondering if there is any way to decouple the axis and tick mark widths? As I understand they are both controlled by the lwd setting, and cannot be controlled independently? For example I might want to create major and minor ticks, which I now know how to do by superimposing two axes with different at settings, but what if I also wanted

Hi All, I would like to fill the area under a curve with a gradient of colors. Are there any packages or trick I could use Thanks Stefan Stefan Van Dongen Antwerp [[alternative HTML version deleted]]

Hi, So far as I can tell, the 'col.ticks' parameter for axis() only uses the first value provided. E.g.: plot(0:1,0:1, col.ticks=c('blue','red','green')) #all ticks are blue Just wondering if there's a different option in the basic plot commands that can handle multiple colors, and also whether ggplot and/or lattice allow for multiple tick colors.

My head hurts from trying to figure this out for the past several hours . . . I want to determine what provider to use based on a fact (thanks for the suse version fact btw) but I ain''t gettin it: What''s wrong? Am I going down the completely wrong path? Is there a better way? # suse-yum.pp case $suse_repo_name { #sled10-i586: {Package{ provider => rug}} sled10-i586:

Did you know that Milwaukee has a RUG? The Milwaukee RUG (http://www.mkerb.org) - promoting Ruby and Rails in the Greater Milwaukee Area. Come and join us on our next adventure. Date: August 9, 2006 Time: 5:30 - 7:30 p.m. Location: SpiderLogic, Conference Room 1 on first floor 10000 West Innovation Dr. Milwaukee, WI 53266 Map ==> http://tinyurl.com/olprl

Hello, I have a question concerning decision trees coming from RWeka : library(RWeka) m =J48(Species~.,data=iris) How could such a decision tree be transferred into a matrix, pretty much in the same fashion, as it is done by getTree() in library(ofw) library(ofw) data(srbct) attach(srbct) ##ofwCART learn.cart.keep <- ofw(srbct,

R2.7.1, WinXP Hi, I have a polygon inside a circle as follows: radius <- 3 x <- seq(-radius,radius,length=2000) y <- sqrt(radius^2-x^2) xx <- c(x,-x) yy <- c(y,-y) plot(xx,yy, xlim=c(-radius,radius),ylim=c(-radius,radius), type="l", ylab="", xlab="", axes=F) radius <- 2.7 x1 <- seq(-radius,radius,length=2000) y1 <- sqrt(radius^2-x1^2)