Displaying 6 results from an estimated 6 matches for "htmlsend".
2002 May 14
2
Printing a plot on Windows
I am using R 1.5.0 for Windows. When trying to print a plot produced by R
clicking on the printer icon, or by clicking on "FILE - Print", there is no
response. This happens under Windows 95 and 98.
Has somebody found this problem? Is there a solution besides saving the plot
and printing it using another application?
Thanks for the help.
Joaquin Diaz-Saiz
2002 Apr 23
2
Asking about how to use R to draw Time Series graph
Hi
I'm study at University of Canterbury. Now, We have one project use R
to do time series. The problem is I don't know how to use R to draw time
series graph! Can you help me sovle this problem? I can not find in
manuals book! Can you tearch me what fuction command I have to use?
Thanks alway!
Sam
2002 May 14
2
Raster management data
Hi,
I'm a newbie in R world.
I would like to develop an application that extract contour from objects of
an image.
- Is R able to manage raster data (i.e., images) ?
- Is there a specific package in change of such management ?
I'm specificaly interest in the Canny filter.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Emmanuel POIZOT
CNAM/INTECHMER
B.P. 324
50103 Cherbourg Cedex
T?l : 33 (0)2 33
2002 Aug 26
5
updating n within for(i in 1:n) loop
Hi folks:
I think I'm having problems with figuring this one out:
test1 <- function()
{
n <- 2
for(i in 1:n)
{
cat(paste("i =", i, "\n")); flush.console()
n <- 5 # version 1
#n <<- 5 # version 2
#assign("n", 5, envir = environment(test1)) # version 3
}
}
I need the for(.) loop to run (say) n=5 times within the
2002 Aug 06
2
Memory leak in R v1.5.1?
Hi,
I am trying to minimize a rather complex function of 5 parameters with
gafit and nlm. Besides some problems with both optimization algorithms
(with respect to consistantly generating similar results), I tried to
run this optimization about a hundred times for yet two other parameters.
Unfortunately, as the log below shows, during that batch process R
starts to eat up all my RAM,
2002 Jun 24
10
code optimization
I have a function "eval.delta" which does what I want but isn't very
elegant. I have consulted the R documents, MASS, and S Programming. Is
there a practical way to optimize the code? Thank you very much.
Peter B.
Function:
eval.delta <- function(delta){
cat("VALUES\n")
vlr <- NULL
k <- 0
for(j in 1:length(delta)) if(delta[j] <= 2){