similar to: Second y-axis

Hi list, Does any body know how I can create a margin area around the graphic created by xyplot (the same thing we do using par in plot function)? I tried viewport, but does not work. Here is the code: ============================================== require(grid) vp<- viewport(x=.1,y=.1,width=.6,height=.6,just=c("left", "bottom")) pushViewport(vp)

I am trying to plot some data, but have got some difficulties with labels on the tick marks on the x-axes. There are 20 data points. All I want to do is to plot the Loss versus Lines. When I use xyplot, the first tick mark starts from 2 rather than 1, and also there is a NA as the final tick mark. Here is the R code you code give it a try: Would any body be able to fix this, please?

Hello Everyone, I am trying to excess the inbuit .Fortran and .C codes of R. Can any one help me in that. For example in kmeans clustering the algorithms are written in .Fortran I want to access them and see the .Fortran syntax of the codes. Can any one help me how can I do that? Thanx, Nitin Kumar On Thu, Nov 27, 2008 at 12:00 PM, <r-help-request@r-project.org> wrote: > Send R-help

Hi, I am learning xyplot. I have an example dataset attached. plotdata<-read.table("plotdata.txt",sep='\t',header=T,row.names=1) head(plotdata,n=4) y x type 1 -4.309601 -0.7448405 A 2 -4.715421 0.7875994 A 3 -2.310638 0.5455310 A 4 -2.685803 10.4116868 A xyplot(y~x,groups=type,plotdata, auto.key=T) This shows different colors for different

Version of R: Windows Version 2.0.0 The experimental design contains two plant lines - a control (C) and a mutant (M) - grown out three separate times in plots A, B, C. The design is unbalanced: In plot A, 9 control plants were grown with 29 mutant plants. In plot B, 8 control plants were grown with 20 mutant plants. In plot C, 8 control plants were grown with 22 mutant plants. The

This is really a question of how to program this *BETTER*. It works as I have done it, but is quite ugly. I want to do a 3d scatterplot of the upper triangle of a matrix, where the z-values are the values in the matrix, and the row and column indices are the y- and x-values. The complete (11 by 11) matrix is mmtop94.2. Here is my awkward code: mmtop94.2[lower.tri(mmtop94.2)] <- NA # Here i

Hello everyone. I am using ggplot and I need some help to merge these two plots into one. plot_CR<-function(x,y,agentid,CRagent){   library(ggplot2)     agent<-CRagent[[agentid]] # To make following expression shorter   ggplot((data.frame(x=CRX,y=CRY,sr=agent$sr)))+   geom_point(aes(x,y,colour=cut(sr,c(0,-10,-20,-30,-40,-50,-60,-70,-80))))+   geom_text(aes(x,y,color=cut(sr,

Dear all, today I have writted the following code, to plot the contents of some matrices I have plot_shad_f function(f){ library(ggplot2) dev.new() plotdata<-melt(f) names(plotdata)<-c('x','y','z') v<-ggplot(plotdata, aes(x, y, z = z)) print(v + geom_tile(aes(fill=z))) } I would like to ask your help add a small circle in this plotting. What would be

Hi all, I've been trying (unsuccessfully) to modify an xyplot I created using the lattice package. I would like to change default strip colors and locations. I started with numeric data in 4 columns, which look like this: 0.25 2 1 32 0.25 2 2 30 0.25 2 3 27 0.25 2 4 23 0.25 2 5 17 0.25 3 1 30 0.25

Dear All, I am trying to build a simple ggplot, but where the scale is reversed, i.e. the largest numbers are on the bottom. An example of the code I am using is > plotdata<-data.frame(x=1:10, y=runif(10)) > plot<-ggplot() > plot<-plot+layer(data=plotdata, mapping=aes_string(x='x',y='y'), geom='point', stat='identity', size=4) >

Hello. I'm from a Linux User Group in Madrid, Spain. We are planning to organize a series of speeches on November 14th. We would like someone from Freedektop to hold one, about whatever you feel feel like (what is Freedesktop about, xdg, X servers...). Are any of you interested? Maybe this is not the best place to ask, but I've not found any other contact address. Is there is a better

Hello R help mailing list, I'm having difficulty saving a series of figures in an analysis. I have attempted to save them in a for loop with the following code: for(i in 1:20){ sF<-paste("fig",i,".jpeg",sep="") jpeg(file=sF,width=600,height=500,quality=100,pointsize=12) attach(plotData) xyplot(CHC~1:13), detach(plotData) graphics.off() } If I break

Dear List I am trying to draw a heatmap using ggplot2. In this heatmap I have faceted my data by 'infection' of which I have four. These four infections break down into two types and I would like to reorder the 'infection' column of my data to reflect this. Toy example below: library(ggplot2) # test data for ggplot reordering genes <- (rep (c(rep('a',4),

Is there a canonical means to apply a function over multiple arrays simultaneously? For example, if I wanted to plot each line with a different color? Or is a for loop conversion my best option? x <- seq(0, 8, by = 2) y <- matrix(1:15, nrow = 5, byrow = TRUE) my.colors <- heat.colors(3) drawLines <- function(row) { lines(x, row) # want corresponding 'my.colors' here }

Dear UserRs, I am trying to use systematically ggplot2 for most of my plots, but I am fighting some lack of documentation, which I try to overcome. I want to build a scatterplot where the axes cross exactly at (0,0). I tried using scale_y_continuous(limits=c(0,10)), but I always get an extra space at the bottom of the axes. The code I used is below. > plotdata<-data.frame(x=1:10,

Dear All (probably Hadley), I am now trying to customise some plots using a bar geom. I do not want to use the default binning statistic, but rather calculate the bar heigths separately. I do manage this, but for comparison purposes I would like to have a set of plots all with the same y-axis height. But I do not seem to find out how to fix the scale of the y-axis in this case. Any tips?

1. Please use a meaningful subject, as the Posting Guide asked you to. 2. You need to wrap xyplot() (or any other lattice plotting functions) in print(). I believe this is in the FAQ. Andy > From: Martin Heller > > Hello R help mailing list, > I'm having difficulty saving a series of figures in an > analysis. I have attempted to save them in a for loop with > the

Dear all, I am basically a GIS user and am new to R. I am trying to write a data frame to a dbf file. *n.simulations <- 999 binomial <- kulldorff(geo, cases, population, NULL, pop.upper.bound, n.simulations, alpha.level, plot) cluster <- binomial$most.likely.cluster$location.IDs.included df <- data.frame(ID=seq(1,n.simulations,by=1), simloglkhd=binomial$simulated.log.lkhd)

Hi, as it is not possible for me to use a sensible development environment to start with I have to use emulations. I use Cygwin on windows and also Colinux. (Colinux is really amazing cause it lets you run actual linux binaries und Windows.) So here is my problem, which by the way exists since Rails 0.5.0 I think. It was the reason I tried Colinux in the first place, cause the error first

Is the pictex graphics device known not to support color? In R 2.0.1 Patched (2004-11-17), it produced very pretty output: ## pictex(file = "modern-metatheonomy.tex", bg = "transparent"); ## plotData(data); ## dev.off() ... but it appears to have ignored all color information. __________ Steve Rowley <steve.rowley at sanofi-aventis.com> Cambridge, MA: (617) 768-4054