similar to: CART in R

Dear all, I have a question with regard to the use of hclust. I would like to be able to specify my own distance matrix instead of asking R to compute the distance matrix for me. It is computationally easier for me this way. My question is: How can I get hclust to accept this? Thanks, Ranjan -- *************************************************************************** Ranjan

On Tue May20'25 05:56:59AM, Rui Barradas wrote: > From: Rui Barradas <ruipbarradas at sapo.pt> > Date: Tue, 20 May 2025 05:56:59 +0100 > To: Ranjan Maitra <mlmaitra at gmx.com>, r-help at r-project.org > Subject: Re: [R] how to read a PSB file in R? > > ?s 03:17 de 20/05/2025, Ranjan Maitra via R-help escreveu: > > I have come across this file (warning,

On Tue May20'25 12:15:41AM, Ranjan Maitra via R-help wrote: > From: Ranjan Maitra via R-help <r-help at r-project.org> > Date: Tue, 20 May 2025 00:15:41 -0500 > To: r-help at r-project.org > Reply-To: Ranjan Maitra <mlmaitra at gmx.com> > Subject: Re: [R] how to read a PSB file in R? > > On Tue May20'25 05:56:59AM, Rui Barradas wrote: > > From: Rui

New function below is a bit faster due to more efficent memory handling. for-loop FTW! directionless_circular_permutations2 <- function( n ) { n1 <- n - 1L v <- seq.int( n1 ) ix <- combinations( n1, 2L ) jx <- permutations( n-3L, n-3L ) jxrows <- nrow( jx ) jxoffsets <- seq.int( jxrows ) result <- matrix( n, nrow = factorial( n1 )/2L, ncol = n ) k

I don't know if this is more efficient than enumerating with distinct directions and weeding... it seems kind of heavyweight to me: ####### library(gtools) directionless_circular_permutations <- function( n ) { v <- seq.int( n-1 ) ix <- combinations( n-1, 2 ) jx <- permutations( n-3, n-3 ) x <- lapply( seq.int( nrow( ix ) ) , function( i ) {

Thanks! I am trying to use it in R. (Actually, I try to give my students experiences with different kinds of files and I was wondering if there were tools available for such kinds of files. I don't know Lisp so I do not actually know what the lines towards the bottom of the file mean.( Many thanks for your response! Best wishes, Ranjan On Wed, 17 Jan 2018 20:59:48 -0800 David Winsemius

Jeff, I wanted to let you know that your function is faster than generating the directional circular permutations and weeding. Here is the time for n = 10. I compared with just doing the permutations, there is no point in proceeding further with the weeding since it is slower at the start itself. system.time(directionless_circular_permutations(10)) user system elapsed 1.576 0.000

> On Jan 17, 2018, at 8:22 PM, Ranjan Maitra <maitra at email.com> wrote: > > Dear friends, > > Is there a way to read data files written in lisp into R? > > Here is the file: https://archive.ics.uci.edu/ml/machine-learning-databases/university/university.data > > I would like to read it into R. Any suggestions? It's just a text file. What difficulties

If one is equal to the reverse of another, keep only one of the pair. B. > On Mar 29, 2018, at 9:48 PM, Ranjan Maitra <maitra at email.com> wrote: > > Dear friends, > > I would like to get all possible arrangements of n objects listed 1:n on a circle. > > Now this is easy to do in R. Keep the last spot fixed at n and fill in the rest using permuations(n-1, n-1)

It seems the file contains records, with each record having 18 fields. I would use awk (standard unix tool), creating an awk script to process the file into a new file with one line for each record, each line with 18 fields, say comma-separated. The csv file can then be easily read into R via the function read.csv. HTH, Eric On Thu, Jan 18, 2018 at 6:22 AM, Ranjan Maitra <maitra at

Thanks! Yes, however, this seems a bit wasteful. Just wondering if there are other, more efficient options possible. Best wishes, Ranjan On Thu, 29 Mar 2018 22:20:19 -0400 Boris Steipe <boris.steipe at utoronto.ca> wrote: > If one is equal to the reverse of another, keep only one of the pair. > > B. > > > > > On Mar 29, 2018, at 9:48 PM, Ranjan Maitra

The file also has a bunch of email headers stuck in the middle of it: ..... (QUALITY-OF-LIFE SCALE:1-5 4) (ACADEMIC-EMPHASIS HEALTH-SCIENCE) ) ------- ------- >From LEBOWITZ at cs.columbia.edu Mon Feb 22 20:53:02 1988 Received: from zodiac by meridian (5.52/4.7) Received: from Jessica.Stanford.EDU by ads.com (5.58/1.9) id AA04539; Mon, 22 Feb 88 20:59:59 PST Received: from

?s 03:17 de 20/05/2025, Ranjan Maitra via R-help escreveu: > I have come across this file (warning, massive, 4.3 GB) https://esahubble.org/media/archives/images/original/heic1502a.psb and it appears to be a filetype I was not aware of previously. > > Is it possible to read the file in R using any tool? It is an image and I am looking for the RGB of the file. > > Many thanks and

Dear colleagues, I had a question wrt the car package. How do I evaluate whether a simpler multivariate regression model is adequate? For instance, I do the following: ami <- read.table(file = "http://www.public.iastate.edu/~maitra/stat501/datasets/amitriptyline.dat", col.names=c("TCAD", "drug", "gender", "antidepressant","PR",

Possibly because: panel.hist is not an existing R function -- you have to first create it so pairs() can use it. ?pairs shows you how in the Help examples, i.e. panel.hist <- function(x, ...) { usr <- par("usr") par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y)

Can someone please point me to an example with geom_contour() that uses a function? The help does not have an example of a function, and also I did not find anything from online searches. TIA, BFD ----------------------------------------------------------------------------------------------- How about geom_contour()? Am So., 8. Okt. 2017, 20:52 schrieb Ranjan Maitra <maitra at

Dear colleagues, I have an image which I can display in the greyscale using image. On this image, for some pixels, which I know, I want to display their activity based on a third measure. One way to do that would be to color these differently, and use an opacity measure to display the third measure. An example of what I am trying to do is at:

Hi BFD, ?geom_contour() *does* have helpful examples. Your Google-foo is weak: Searching for geom_contour brought me: http://ggplot2.tidyverse.org/reference/geom_contour.html as the first result. HTH Ulrik On Mon, 9 Oct 2017 at 08:04 Big Floppy Dog <bigfloppydog at gmail.com> wrote: > Can someone please point me to an example with geom_contour() that uses a > function? The help

Hello Ulrik, I apologize, but I can not see how to provide a pdf in place of the density function which calculates a KDE (that is, something from the dataset in the example). Can you please point to the specific example that might help? Here is what I get: require(mvtnorm) require(ggplot2) set.seed(1234) xx <- data.frame(rmvt(100, df = c(13, 13))) v <- ggplot(faithfuld, aes(waiting,

> On Oct 9, 2017, at 6:03 AM, Big Floppy Dog <bigfloppydog at gmail.com> wrote: > > Hello Ulrik, > > I apologize, but I can not see how to provide a pdf in place of the density > function which calculates a KDE (that is, something from the dataset in the > example). Can you please point to the specific example that might help? > > Here is what I get: > >