similar to: gaussian error propagation

Dear list, I'm trying to write a class for Gaussian error propagation of measured values and their (estimated) errors, > setClass("sec", representation(val="numeric", err="numeric")) I've already successfully implemented basic arithmetics using mostly the "Arith" group generics. But I'm running into trouble when trying to get signif() to

Can anyone advise me on some pratical papers or books On Gaussian Copulas? Anything in the genre of Copulas Dummies Would be a help. As simpe, and approachable with minimal pedantic style. Thanks, Neil -------------------------------------------------------- This information is being sent at the recipient's reques...{{dropped:16}}

hello, i would like to read in a small amount of csv data directly from a sweave-enabled latex document. i tried \begin{Scode}{fig=FALSE,echo=TRUE} timeval <- read.csv(stdin(),nrows=2) t1,t2,t3,t4 24.23,26.79,23.47,23.97 \end{Scode} but apparently the stdin() approach doesnt't work as I get Writing to file test.tex Processing code chunks ... 1 : echo term verbatim Error: chunk 1

I'm having trouble with users transferring files to a solaris box running ossh v2.3.1p1 via sftp using ssh.com's windows client. The sftp client appears not to respect the users umask, creating files with either mode 666 or 600. We're using version 2.4.0 of the windows client. Any ideas? thanks, -Brett ----------------- Brett Longworth Systems Manager Department of Biology

Hi Timo, when logging out like a001 logout the imap child dies from signal 11. The back trace looks like this: Program received signal SIGSEGV, Segmentation fault. 0xb7ed4991 in strcasecmp () from /lib/tls/i686/cmov/libc.so.6 (gdb) bt #0 0xb7ed4991 in strcasecmp () from /lib/tls/i686/cmov/libc.so.6 #1 0x0806ab6c in command_unregister (name=0x815b9ab "LOGOUT") at commands.c:83 #2

Hi, I've been working on a patch for dovecot 1.2 from the Kolab branch (http://hg.intevation.org/kolab/dovecot-1.2_kolab-branch/) that implements listing of shared namespaces. I've got something that works in some basic way but is still missing some pieces. See the attached patch, which also contains some installation and configuration notes. Implementation notes: One of the main

Hi, In dovecot 1.1, I could use DICT_ITERATE_FLAG_RECURSE when iterating over a dict to retrieve all entries that start with a given prefix. This doesn't seem to work anymore in the new dict implementation in dovecot 1.2. Looking at the SQL queries actually generated, it seems as if dovecot 1.1 used to generate queries that use pattern matching (key LIKE "my/prefix/%") whereas

Hi *, according to RfC4314 the rights argument to the setacl command might be an empty string ("zero right characters"): The third argument is a string containing an optional plus ("+") or minus ("-") prefix, followed by zero or more rights characters. existing clients (horde in particular) actually use this to remove all rights from an user. Currently

Hi Timo, Hi *, in 1.2 the dict server (tested with sqlite backend) is somewhat broken. It bails out regularly with "Fatal: dict: Socket already exists: ..." (looks like a race condition as it doesn't fail always). We discovered that this new code in dict-server.c seems to be the problem: server->fd = net_listen_unix_unlink_stale(path, 64); if (server->fd == -1) { if

Hi, as part of an effort to make dovecot usable as the IMAP component in the Kolab Groupware system <http://kolab.org/>, we've started to develop a plugin that implements the IMAP METADATA extension. The plugin is still under development and development is focused on the plugin's use in Kolab, so it will at first only implement what's immediately needed to achieve that

Dear R-helpers, I´m in the context of writing a general function for error propagation in R. There are somehow a few questions I would like to ask (discuss), as my statistical knowledge is somewhat restricted. Below is the function I wrote, the questions are marked. Many thanks in advance. propagate <- function(expr, varList, type = c("stat", "raw"), cov = TRUE) {

I have a one-variable data set in R. The plot of histogram of my numerical variable suggests an inverse gaussian distribution. How can I obtain best estimation for the two parameters of inverse gaussian based on my data? Thanks. -- View this message in context: http://n4.nabble.com/estimate-inverse-gaussian-in-R-tp949692p949692.html Sent from the R help mailing list archive at Nabble.com.

Hi all, Does anybody know any function that performs gaussian adapative quadrature integration of univariate functions? Thanks in advance, Regards, Caio __________________________________________________ [[alternative HTML version deleted]]

Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component gaussian mixture -- where the components have a large overlap, and I am trying to use the "mclust" package to solve this problem. I need

Hi, I have a data set (weight) that does not follow the Gaussian (Normal) distribution. However, I have to transform the data before applying the Gaussian distribution. I used this syntax and used log(weight) as: posJy.model<-glm(log(weight) ~ factor(pos), family=gaussian(link='identity'), subset=Soil=="Jy"). This syntax COULD NOT transform the data. But if I transform the

Dear R-Helpers, I am hoping to perform survival analyses using the "ex-Gaussian" distribution. I understand that the ex-Gaussian is a convolution of exponential and Gaussian distributions for survival data. I checked the "survreg.distributions" help and saw that it is possible to mix pre-defined distributions. Am I correct to think that the following code makes the

Two questions: 1. inverse.gaussian is up there as one of the glm families, but do people ever use it? There is no inverse.gaussian in the R distribution family, and when I checked McCullagh & Nelder, it only appeared twice in the book (according to subject index), once in the table on p. 30 and once on p. 38 in a passing sentence. Is there a good reference on this distribution? 2. When I

Hi there fellow R-users, Can anyone tell me how to build a prediction interval for a gaussian log-link model for the reponse variable?? I can find the standard error of the predictions but I cant seem to find the prediction interval. Is there a way I can calculate the prediction interval from the standard errors?? Here's the example: logX<-rnorm(100)

Dear All, I am struggling to find an R package which contains a function for building a Gaussian Process model for binary classification which may produce prediction intervals for predicted probabilities. I would be grateful if somebody could point me to such package. Thank you very much in advance. DK [[alternative HTML version deleted]]

Hello, I am trying to fit my histogram to a smooth Gaussian curve(the data closely resembles one except a few bars). This is my code : #!/usr/bin/Rscript out_file = "irc_20M_opencl_test.png" png(out_file) scan("my.csv") -> myvals hist(myvals, breaks = 50, main = "My Distribution",xlab = "My Values") pdens <- density(myvals, na.rm=T) plot(pdens,