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Dear list, I read in ?plotmath that I can use bgroup to draw scalable delimiters such as [ ] and ( ). The same technique fails with < > however, and I cannot find a workaround, grid.text(expression(bgroup("<",atop(x,y),">"))) Error in bgroup("<", atop(x, y), ">") : invalid group delimiter Regards, baptiste sessionInfo() R version

Dear list, I read in ?plotmath that I can use bgroup to draw scalable delimiters such as [ ] and ( ). The same technique fails with < > however, and I cannot find a workaround, grid.text(expression(bgroup("<",atop(x,y),">"))) Error in bgroup("<", atop(x, y), ">") : invalid group delimiter Regards, baptiste sessionInfo() R version

Dear all, Trying to extract a few rows for each element of a list of data.frames, I'm puzzled by the following behaviour, > d <- lapply(1:4, function(i) data.frame(x=rnorm(5), y=rnorm(5))) > str(d) > > lapply(d, "[", i= c(1)) # fine, this extracts the first columns > lapply(d, "[", j= c(1, 3)) # doesn't do nothing ?! > > library(plyr)

Dear all, Trying to extract a few rows for each element of a list of data.frames, I'm puzzled by the following behaviour, > d <- lapply(1:4, function(i) data.frame(x=rnorm(5), y=rnorm(5))) > str(d) > > lapply(d, "[", i= c(1)) # fine, this extracts the first columns > lapply(d, "[", j= c(1, 3)) # doesn't do nothing ?! > > library(plyr)

Dear list, The dichromat package defines a dichromat function which "Collapses red-green color distinctions to approximate the effect of the two common forms of red-green colour blindness, protanopia and deuteranopia." library(dichromat) library(grid) colorStrip <- function (colors = 1:3, draw = TRUE) { x <- seq(0, 1 - 1/length(colors), length = length(colors)) y <-

Dear all, I'm trying to write tabular data to a text file, these data will be the input of a Fortran program. The format needs to be "(i7,2x,7(e15.7,2x))". I have not been able to find a clean way of producing this output with write.table. I searched for a "write.fortran" function similar to read.fortran() in package utils but I couldn't find any. Below is a small

Dear all, I'm puzzled by the following example inspired by a recent question on R-help, cc <- textConnection("user_id website time 20 google 0930 21 yahoo 0935 20 facebook 1000 25 facebook 1015 61 google 0940") d <- read.table(cc, head=T) ; close(cc) table(d$user_id) # count the

Dear list useRs, I have to generate a random set of coordinates (x,y) in [-1 ; 1]^2 for say, N points. At each of these points is drawn a circle (later on, an ellipse) of random size, as in: > N <- 100 > > positions <- matrix(rnorm(2 * N, mean = 0 , sd= 0.5), nrow=N) > sizes<-rnorm(N, mean = 0 , sd= 1) > plot(positions,type="p",cex=sizes) My problem is to

Dear all, I got a couple of warnings using panel.levelplot.raster, In panel.levelplot.raster(..., interpolate = TRUE) : 'y' values are not equispaced; output will be wrong although I was quite sure my data were equally spaced (indeed, I created them with seq()). A closer look at the source code reveals that the function tests for exact uniformity in grid spacing, if

Dear list, I have a data.frame with x, y values and a 3-level factor "group", say. I want to create a new column in this data.frame with the values of y scaled to 1 by group. Perhaps the example below describes it best: > x <- seq(0, 10, len=100) > my.df <- data.frame(x = rep(x, 3), y=c(3*sin(x), 2*cos(x), > cos(2*x)), # note how the y values have a different

I am playing around learning ggplot and cannot see how to suppress the x or y axis values ( equivalent of xaxt in basic graphics) It must be obvious but I'm not seeing it. Problem ================================================================= timedata <- structure(list(month = structure(c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,

Hi, I have two small issues with my R code, no big deal but curiosity really. Here is a sample code, > > x <- rnorm(1:10) > > foo <- function(a = 1, b = list(x = c(1:10), y = c(1:10))){ > > for (ii in seq(along=b$y)){ > > print(x[ii] + b$x[ii]) > } > > > } > > foo() # default OK > > foo(b=list(x=1, y=c(1:10))) # only the first

Dear list, I have the following example, from which I am hoping to retrieve numeric values of the factor levels (that is, without the brackets): > > x <- seq(1, 15, length=100) > y <- sin(x) > > my.cuts <- cut(which(abs(y) < 1e-1), 3) > levels(my.cuts) hist() does not suit me for this, as it does not necessarily respect the number of breaks. getAnywhere

DeaR list, I happily use eigen() to compute the eigenvalues and eigenvectors of a fairly large matrix (200x200, say), but it seems over-killed as its rank is limited to typically 2 or 3. I sort of remember being taught that numerical techniques can find iteratively decreasing eigenvalues and corresponding orthogonal eigenvectors, which would provide a nice alternative (once I have the

Dear list, I wish to visualise some 4D data as a kind of colour / translucent cloud in 3D. I haven't seen such plots in R (but perhaps I missed a feature of rgl). The easiest option I found would be to export the data in povray's df3 (density file) format and visualise it with povray. The format specification baffles me a little, http://www.povray.org/documentation/view/3.6.1/374/ ;

Hi, how can I get a more descriptive text instead of the variable names in my XY-lattice plot, according to the table below? Variable text acet = "Acetylaspartate Thalamus" chol = "Choline Thalamus" acetp = "Acetylaspartate parieoc" ino = "Inositole Thalamus" I could not find a solution. Please have a look at my syntax. Thanks a lot,

Dear R list, I'm having difficulties in choosing between a list or a data.frame, or an array for the storage and manipulation of my data (example follows). I've been using the three for different purposes but I would rather like to know which is more adapted to what task. Here is the data I'm currently working on: 200 observations, each observation being a vector of length

Dear R helpers, I'm trying to write a numerical scheme for a boundary integral method to solve an electromagnetic problem. This requires the computation of the distance between points at the surface of an object (a sphere, in my example). Here is my code, > require(rgl) > r<-1 > size<-10 > theta<-seq(0,2*pi,length=size*2) > phi<-seq(0,pi,length=size) > pc

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 evrybody, in a matrix consisting of 49 columns, I would like to plot all columns against the first in 48 different graphs. Can you help me? Thank you in advance Sebastian -- *************************************************************************************************************** Dipl. Biol. Sebastian Krug PhD - student IFM - GEOMAR Leibniz Institute of Marine Sciences Research