similar to: summary of rpart-Object in tktext window?

Hi there, a text Window is supposed to map the shortcuts for copying and pasting (<Ctrl-C>, <Ctrl-V>) automatically. I'm working under Mac OS X and my text window doesn't really map these functions automatically - it works fine under Windows. Is there an easy way to map copy&paste functions to a text window under Mac OS X? This is what I'm doing with my text

Hi there, I need to build up a tktext-widget that contains a longer text than the tktext-widget actually is. So what I mean is, that the tktext window is of width=100 and the text in it has a length greater 100. But I don't want the window to just wrap the line, but to belong to scrollbar that is able to scroll to the end of the text. tt <- tktoplevel() txt <- tktext(tt,

Hi, All, I'm writing a wrapper for stop that produces a popup window using tcltk. Something like: error <- function(...) { msg <- paste(..., sep = "") if(!length(msg)) msg <- "" if(require(tcltk, quiet = TRUE)) { tt <- tktoplevel() tkwm.title(tt, "Error") tkmsg <- tktext(tt, bg = "white") tkinsert(tkmsg,

Dear List, I'm looking for some informations about the function "tkinsert()". I d'like to write lot of command in my text window and after to evaluate it with a button "Submit" for example, but i have some problems: here a exemple of my code: 1) My first problem tt=tktoplevel() txt=tktext(tt,height=40) tkpack(txt) var1=paste("x=2")

Sorry, for my mail from last night contains no subject. Therefore, I send it again and two tcltk questions are appended. ---------------------------------------------------------------------------- Prasad wrote: > I wrote a function in R which uses tcltk package .... essentially I wanted > to give within that function, a widget with 2 radiobuttons to choose > between plotting Precip

Hi; I have a program which writes lines to a tktext box (of height, say, 10) with tkinsert(txto, "end", paste(so,"\n")) I would like my program to be such that it automatically scrolls down through the text box when it is full so that I always see the last 10 lines written. Can anyone help on this? Best regards S??ren

Dear list members, Rich Heiberger reported to me last week that the Messages window in the Rcmdr GUI was freezing -- that is, messages posted to this window didn't appear -- under Windows and R 2.8.0. I was able to confirm this problem on three Windows systems, one using Vista and the other two XP. In each case, I used R 2.8.0 and Rcmdr 1.4-4 (the current version). The problem doesn't

I've been able to figure out on my own how to do what I need in the largely undocumented tcltk package, but I've finally hit a wall. I can't even think of any sufficiently specific search terms to use for this. I'm trying to make the widgets in my tk window resize when the window is resized by clicking and dragging on its corners or edges. Instead they stay exactly where they

Dear r helpers, In my exploration of the tcltk facilities of R I've had some success but some failures, and wonder if someone could point me to a solution. To begin: ****************************************************** > sessionInfo() Version 2.3.1 (2006-06-01) powerpc-apple-darwin8.6.0 attached base packages: [1] "tcltk" "methods" "stats"

I'd like to capture the results of a print() command so that I can put the results in a tktext widget. I know I can redirect the output to a file with sink. I'm looking for something like that, but where I can redirect the output into a variable. Is there a way to do that? Mike -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

In R-1.7.1, I used to be able to append a character vector to a 'tklistbox' with e.g. listio <- tklistbox( tktoplevel(), font='Courier', height=20, width=20, setgrid=TRUE) tkinsert( listio, 'end', letters[1:3]) tkpack( listio,side='left', expand=TRUE, fill='both') and three items would be added to 'listio'. This doesn't work in R-devel-- it

Hello all, I wish to extract the terms from an rpart object. Specifically, I would like to be able to know what is the response variable (so I could do some manipulation on it). But in general, such a method for rpart will also need to handle a "." case (see fit2) Here are two simple examples: fit1 <- rpart(Kyphosis ~ Age + Number + Start, data=kyphosis) fit1$call fit2 <-

Hallo, I'm dynamically generating buttons depending on the number of rows of my dataframe. Every button is supposed to call a function which generates a plot with the values of one of my dataframe rows. My code looks like this: base <- tktoplevel() plotten <- function(mat, namen, titel) { midpts <- barplot(height=mat, names.arg = namen, main = titel, las=2)

I run the following code: library(rpart) data(kyphosis) fit <- rpart(Kyphosis ~ ., data=kyphosis) plot(fit) text(fit, use.n=TRUE) The text labels represent the count of each class at the leaf node. Unfortunately, the numbers are rounded and in scientific notation rather than the exact number of examples sorted by that node in each class. The plot is supposed to look like

Dear R-users I am using RPART package to get regression trees. However having trouble getting the text function to put the full splitting rule number on the plot, instead to puts it in scientific notation. When a covariate has 1e4 or greater number of digits then the splitting rule number displayed on the plot is in scientific notation. But print.rpart displays the splitting rules in full.

I like to monitor simulation by reporting some current values to the console, every 25th iteration say. I think it might be nice to have that appear in a separate window. Anyone know how? regards, David Farrar New River Analytic [[alternative HTML version deleted]]

Hey folks, This is my first message to the mailing list so please let me know if I mess something up. I'm trying to use the selectcommand for the mclistbox but I'm not very adept at using functions. Ideally I'd like to change the editor text when a different list item is selected but any help using the selectcommand would be appreciated and I think I could get the rest working.

Hi, Suppose i have generated an object using the following : fit <- rpart(Kyphosis ~ Age + Number + Start, data=kyphosis) And when i print fit, i get the following : n= 81 node), split, n, loss, yval, (yprob) * denotes terminal node 1) root 81 17 absent (0.7901235 0.2098765) 2) Start>=8.5 62 6 absent (0.9032258 0.0967742) 4) Start>=14.5 29 0 absent (1.0000000

Simple example: # Classification Tree with rpart library(rpart) # grow tree fit <- rpart(Kyphosis ~ Age + Number + Start, method="class", data=kyphosis) Now I would like to know how can I measure the "importance" of each of my three explanatory variables (Age, Number, Start) in the model? If this was a regression model, I could have looked at p values from the

I ran this code (several times) from the Quick-R web page ( http://www.statmethods.net/advstats/cart.html) but my cross-validation errors increase instead of decrease (same thing happens with an unrelated data set). Why does this happen? Am I doing something wrong? # Classification Tree with rpart library(rpart) # grow tree fit <- rpart(Kyphosis ~ Age + Number + Start,