similar to: [R-pkgs] New package "list" for analyzing list survey experiments

One hassle I could do without is the necessity of writing C wrapper functions like this: void fameInit(int *status){ cfmini(status); return; } when I want to call a library function (cfmini, in this case) that takes an int argument. The .C interface only lets me pass a pointer to an int, rather than the int itself. Is there any chanch that .C could be enhanced to allow passing arguments by

Hi Everyone, I am uncertain that I am writing the contrast statements correctly. Basically, I'm unsure when to use a -1 and a 1 when writing the contrasts. Specifically I am interested in comparing the slopes between different temperature regimes. Temperature is therefore a factor. Time and percent are numerical. Using the gmodels package I made the following model:

>>>>> "K" == Kasper Daniel Hansen <khansen at stat.Berkeley.EDU> writes: K> On Oct 19, 2005, at 3:43 PM, Jeffrey J. Hallman wrote: K> <SNIP> >> Think about it. Once you have a basic math package that can handle >> matrix >> programming and various mathematical functions, building the various >> statistical modeling

My fame package has a function that checks to see if a FAME SERVER process is already running. On Linux, I can do this in one of two ways: pid <- Sys.getpid() user <- Sys.info()["user"] cmd <- paste("pgrep -fU", user, "-P", pid, "'FAME SERVER'") fameRunning <- as.logical(length(system(cmd, intern = T))) or I can use cmd

Hi, How can I generate data from multivariate gamma distribution & multivariate beta distribution? I only found command for multivariate normal only. Many thanks in advance :) Regards Rofizah [[alternative HTML version deleted]]

I am the maintainer of the 'tis' package. One of the functions in my package is 'nberShade'. A user wants to make nberShade generic, with the old version renamed as nberShade.default, all of which is fine with me. And he wants to add a new method, nberShade.ggplot, which works for objects of class ggplot. He also wants to add a method fortify.tis for the generic fortify defined

Full_Name: Jeff Hallman Version: 1.2.2 OS: Solaris Submission from: (NULL) (132.200.32.33) > rle(c(1, NA, 1) $lengths [1] 3 $values [1] 1 should be as in Splus: $lengths [1] 1 1 1 $values [1] 1 NA 1 The Splus implementation (which works fine in R) is: rle <- function(x){ if(!is.atomic(x)) stop("Argument must have an atomic mode") if(length(x) == 0)

Full_Name: Jeff Hallman Version: 2.0 OS: Linux Submission from: (NULL) (132.200.32.34) The function findGeneric() in the utils namespace contains this internal function: isUME <- function(e) { if (is.call(e) && (is.name(e[[1]]) || is.character(e[[1]]))) { switch(as.character(e[[1]]), UseMethod = as.character(e[[2]]), "{" =

Full_Name: Jeff Hallman Version: 2.3.1 OS: Windows Submission from: (NULL) (132.200.32.34) Internal(format.POSIXlt(as.POSIXlt(Sys.time()), "%Y%m%d%q", F)) Linux R-2.2.1 returns "20060613%q". Windows R-2.3.1 returns "20060613" dropping the "%q". The documentation says "Any character in the format string other that the '%' escape

Good morning, I use SAS and R/S-Plus as my primary tools so I have a lot of experience with these programs. By far and away, SAS is superior for handling the "messy" datasets, but also the very large ones. I work at times with datasets in the hundreds of thousands (and on occasion, millions) of records. SAS, and especially PROC SQL, are invaluable for this. But once I get to

I'm trying to add the exact value on top of each column of an Histogram, i have been trying with the text function but it doesn't work. The problem is that the program it self decides the exact value to give to each column, and ther is not like in a bar-plot that I know exactly which values are been plotting. If anyone have any new idea on how to do this Thanks Matias -- View this

Folks, I'm kind of newbie in R, but with some background in Matlab and VBA programming. Last month I was implementing a Maximum Likelihood Estimation in Matlab, but the algorithms didn't converge. So my academic advisor suggested using R. My problem is: estimate a mean reverting jump diffusion parameters. I've succeeded in deriving the likelihood function (which looks like a gaussian

Dear all, Kosuke Imai and I announce the new package "list," which is now available on CRAN. list: Multivariate Statistical Analysis for the Item Count Technique List allows researchers to conduct multivariate statistical analyses with data from the item count technique for sensitive survey questions. This survey methodology, also known as the list experiment or the unmatched count

Dear all, Kosuke Imai and I announce the new package "list," which is now available on CRAN. list: Multivariate Statistical Analysis for the Item Count Technique List allows researchers to conduct multivariate statistical analyses with data from the item count technique for sensitive survey questions. This survey methodology, also known as the list experiment or the unmatched count

Dear All, I wonder whether anyone has an experience with FAME package written by Jeff Hallman. All my attempts to send him the following problem report did not succeed (the mail system says that my e-mail could not be delivered), so I turn for help to this list. I tried to use your FAME package written for R, but somehow I cannot get it working. I am using Windows XP and the newest R

We are pleased to announce the release of version 2.1.0 of the "acs" package, now available on CRAN <http://cran.r-project.org/web/packages/acs/index.html>. The package allows users to download, manipulate, analyze, and present demographic data from the U.S. Census, with special tools and methods to simplify the tasks of working with estimates and standard errors contained in data

Hi all, Just launched a new R package - SympluR! It allows you to analyze data from the Healthcare Social Graph via access to the Symplur API. - The Healthcare Social Graph contains billions of healthcare social media data points. Hundreds of published journal articles have leveraged data from the Healthcare Social Graph. More about Symplur research:

hi R gurus I saw some graphs with vertical band like this one: http://pragcap.com/wp-content/uploads/2010/04/GS.png how to draw the blue band in R, can't find any clue to do this,any ideas? thanks in advance [[alternative HTML version deleted]]

We wish to announce the new package: fdth - Frequency Distribution Table and Associated Histogram. The package contains a a set of high level function which easily allows the user to make a frequency distribution table (fdt) and its associated plots. The fdt can be formatted in many ways which may be suited to publication. The plot (S3) can be histogram, polygons or density, which can be dealt

My institute has been heavily dependent on SAS for the past while, and SAS is starting to charge us a very deep amount for license renewal. Since we are a non-profit organization that is definitely not sustainable. The team is brainstorming possibility of switching to R, at least gradually. I am talking about the entire institute with considerable number of analysts using SAS their entire