similar to: Abstract plot

How on Earth can I know what are the arguments of any of the functions of the tcl/tk package? I tried hard to find, using all search engines available, looking deep into keywords of R, python's tkinter and tcl/tk, but nowhere I found anything remotely similar to a help. For example, what are the possible arguments to tkgetOpenFile? I know that this works: library(tcltk) filename <-

Is there any function to write a XML structure, after it was read using xmlTreeParse? Ex: library(XML) x <- xmlTreeParse("Irpf2008/aplicacao/dados/12345678901/12345678901.xml") # write it... Alberto Monteiro PS: please, brazilians, don't be offended by my foul language!

Why this kind of assignment does not work? n <- 1 f <- ifelse(n == 1, sin, cos) f(pi) this must be rewritten as: n <- 1 f <- cos if (n == 1) f <- sin f(pi) [oops. 1.224606e-16 instead of zero. Damn floating point errors :-/] Alberto Monteiro

I have a conceptual problem (sort of). Maybe there's a simple solution, maybe not. First, let me explain the test case that goes ok. Let x be a (fixed) n-dimensional vector. I simulate a lot of linear models, y = m x + c + error, then I do a lot of regressions. As expected, the estimated values of m (let's call them m.bar) are distributed according to a Student's t distribution.

Hi R fans, As a newbie following the five-hour rule (after hitting my head against the wall for five hours, post to this list), I am appealing for some help understanding geom_rect() in ggplot2. What I want to do is very simple. I want to generate a plot of rectangles. Each one represents a business cycle. The x-values will be pairs representing the start and end of each cycle. The y-values

Is there any generic function that gets the "home" directory? This should return /home/<user> in Linux and x:/Documents and Settings/<user> (or whatever) in Windows XP. Another (unrelated) question: what is the _simplest_ way to read and write R variables to/from files such that they are stored in a human-readable but R-like form? For example, if (say), x is a vector

Is there a simple way to plot a histogram with colors? For example, suppose I generate random points in the N(2,1) distribution: x <- rnorm(100000, mean = 2, sd = 1) Now I would like to plot the histogram: hist(x) but I would like to show the bars with x < 0 in red, and the bars with x >= 0 in lightgreen. Is there any simple way to do it? I think I can do it in two steps:

This is just my curiousity working. Suppose I write: f1 <- function(x) x + 1 f2 <- function(x) 2 * f1(x) f2(10) # 22 f1 <- function(x) x - 1 f2(10) # 18 This is quite obvious. But is there any way to define f2 in such a way that we "freeze" the definition of f1? f1 <- function(x) x + 1 f2 <- function(x) # put something here 2 * f1(x) # probably put something else here

Ooops! Sorry, I send it only to Uwe Ligges the first time. Best, Philippe Grosjean This is perhaps another solution, more elegant in the way the block comment is written... but it requires to redefine `!` and slows it a little bit because it tests first its arguments before calling .Primitive(!): It takes advantage of `!` being not defined for character arguments: > !2 [1] FALSE >

I have a xml exported by Manifold GIS but I'm not being able to import it into R using XLM package. The file have this structure: <?xml version="1.0" encoding="UTF-8" ?> - <layout> <name>Layout 2</name> <pagesByX>1</pagesByX> <pagesByY>1</pagesByY> - <elements> <legend

Suppose that I have a matrix like: m <- rbind(c(1,2,3,4), c(2,3,2,1)) Is there any way to efficiently plot the _lines_ as if I was doing: plot(m[1,], type="l") points(m[2,], type="l", col="red") (of course, in the "real world" there much more than just 2 lines and 4 columns...) Alberto Monteiro

Dear R-experts, It is a quite stupid question but please help me. I am very confuced. I am able to import normal txt ant mat-files to R but unable to import .xls-file I do not understand the online help. Can please anyone send me the corresponding command lines? The .xls-file is attached. In my file we use commas for the decimal format (example: 0,712), changes might be needed. Thanks, Corinna

With some help from those with expertise on this list, I managed to produce a plot using trellis that looked like I wanted it to look. Now, I need to take the same plot and make the lines on it color, but I want to specify the color for the lines myself. I've managed to make the key use the colors I want. I've managed to make the symbols of the actual plot use the colors I want. But I

I mean, I can generate a expression, for example, with: z <- expression(x+y) But then how can I _use_ it? Is it possible to retrieve information from it, for example, that z is a sum, its first argument is x (or expression(x)) and its second argument is y? Alberto Monteiro

Relatively new user with a question regarding abline. I want to draw a st. line fit to some data but I want the line to span the range of the x-data and NOT the plot limits. In short the line spans xmin to xmax(of plot axis) but I want it to span xmin to xmax (of x data). Can this but done with abline or do I have to use lines and construct the line from a+bx? Paul Rydelek, Ph.D. 5232 Dorset

Dear R experts, I am sorry for sending this email again. I would imagine yesterday and maybe today, have been very busy days with the release of R v 2.7.0. I join all the R users who are very gratful for your contant work and efforts, specially knowing that you are doing this for the sake of science, without gettig any compensation for that. Having written that, I decided to send the

Hi all, I'd like to quantize a variable to map it into a limited set of integers for use with a colormap. "image" and filled.contour" do this mapping inside somewhere, but I'd like to choose the colors for plotting a set of polygons. Is there a pre-existing function that does something like this well? i.e., is capable of using 'breaks'?

Is there any way to give a "decent" title after I plot something generated by decompose? For example: # generate something with period 12 x <- rnorm(600) + sin(2 * pi * (1:600) / 12) # transform to a monthy time series y <- ts(x, frequency=12, start=c(1950,1)) # decompose z <- decompose(y) # plot plot(z) Now, the title is the ugly "Decomposition of additive time

Hi everyone, I am interested in estimating this type of random effects panel: y_it = x'_it * beta + u_it + e_it u_it = rho * u_it-1 + d_it rho belongs to (-1, 1) where: u and e are independent and normally zero-mean distributed. d is also independently normally zero-mean distributed. So, I want random effects for group i to be correlated in t, following an AR(1) process. I am

Hi, I think I have identified a inaccuracy in dchisq when the non-centrality parameter is non-zero and large. Here's a little test: sys.dchisq.test <- function(N = 100000,mean = 0) { z <- rnorm(N,mean = mean, sd = 1) x <- z^2 xmin <- min(x) xmax <- max(x) br <- seq(xmin,xmax,length = 101) dbr <- br[2]-br[1] hist(x,br) p <- dchisq(br,df = 1,ncp =