search for: chasalow

...have been devised to generate the combinations "one by one", and I think I remember there has been a quiz/challenge about 20 years ago, at an S user's conference in Australia(?), on this topic. Anyway, AFAIK, the first nice and efficient function for this has been provided by Scott Chasalow for S (not R) and he made his S code available at the University of Wageningen as "combinat" module. Later this became into an R package which is now maintained by Vince Carey. The source of 'combinat' still shows # DATE WRITTEN: 14 April 1994 LAST REVISED: 10 Ju...

Hi, > R.version.string [1] "R version 2.0.1, 2004-11-15" I have found two possible bugs in function validObject. Details below. Cheers, Scott ================================== Scott D. Chasalow Principal Statistician Statistical Genetics and Biomarkers Bristol-Myers Squibb Company Email: scott.chasalow <AT> bms.com ================================== ------ BEGIN R commands and output ------ setClass("track", representation(x = "numeric", y = "numeric&...

...r@stat.math.ethz.ch> http://stat.ethz.ch/~maechler/ Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27 ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND phone: x-41-1-632-3408 fax: ...-1228 <>< ## This is based on rmultz2() from S-news by Alan Zaslavsky & Scott Chasalow; ## in R available from library(combinat) -- but it has ## Arg.names like rbinom(); returns n x p matrix rmultinom <- function(n, size, prob) { K <- length(prob) # #{classes} matrix(tabulate(sample(K, n * size, repl = TRUE, prob) + K * 0:(n - 1), nbins = n * K)...

...cob> How can I do this? I've recently written the following {for the R package "normix"}. The above is really a FAQ. I think I'd propose to adopt this (or an improvement of it) both for R and S-plus : ## This is based on rmultz2() from S-news by Alan Zaslavsky & Scott Chasalow ## {and adapted from the R package "combinat"}. ## Arg.names like rbinom(); returns n x p matrix rmultinom <- function(n, size, prob) { K <- length(prob) # #{classes} matrix(tabulate(sample(K, n * size, repl = TRUE, prob) + K * 0:(n - 1), nbins = n * K)...

Can anyone please tell me if there is a function to calculate confidence intervals for the results of the quantile function. Some of my data is normally distributed but some is also a squewed distribution or a capped normal distribution. Some of the data sets contain about 700 values whereas others are smaller with about 100-150 values, so I would like to see how the confidence intervals change

Hi Listers, Surely, I just have a mental block and there is a more elegant way of creating a summary count (other than extracing it from ftable). I''d like to create a new data.frame containing counts of spell by loc ie have three columns showing spell,loc,count. Below the data.frame... Any help appreciated Thanks Herry spell loc 101 Parts 1 102 Overall 2 105 Parts 1 106