similar to: Question regarding hypergeometric 2f1 function

Hi, I'm actually afraid that this is a RTFM question - I read the manual but didn't find anything yet... I'm looking for a way to document R sourcecode in my thesis. Does anyone know of a tool or function which can convert or export R sourcecode to Tex? Thanks for any hints! Best Regards, Daniel

Hi all, sorry for this extensive question, but I think that I'm missing something fundamental. I stepped into a surprising result with the integrate function and I would be glad if someone could put some light onto this. I try to integrate over an s-shaped growth-function. The results from this calculation seem to be correct for small values of t. Just for fun I tried some large values and

Hello Ben Lindstrom, I tried your package creation scripts for Solaris which are contributed with the new OpenSSH Version 3.0.0p1. Nice that you develop these scripts but I run into a major problem installing the package which was created by the script. On our Solaris hosts /usr/local is only a symbolic link to /opt/local. After installing the OpenSSH package the symbolic link was removed and a

Dear List, I stepped into a strange effect which I can't explain to myself (probably due to lack of knowledge on R internals). I have four vectors a,b,c and z of size 10000 each. With these vectors I call .Call("hyp2f1forrey", a, b, b, z, PACKAGE = "hyp2f1") to access SEXP hyp2f1forrey(SEXP a, SEXP b, SEXP c, SEXP x) { int i,n; double *xa, *xb, *xc, *xx,

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Hi, I hope somebody can help me on how to use the hypergeometric function. I did read through the R documentation on hypergeometric but not really sure what it means. I would like to evaluate the hypergeometric function as follows: F((2*alpha+1)/2, (2*alpha+2)/2 , alpha+1/2, betasq/etasq). I'm not sure which function should be used- either phyper or qhyper or dhyper Where

Hello. Somebody knows how to compute generalized hypergeometric series in R? (see http://functions.wolfram.com/HypergeometricFunctions/HypergeometricPFQ/02/ to understand what I mean) Thanks in advance, Arnau.

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Dear list, I have performed several tests for the hypergeometric distribution using phyper() for some gene annotation categories as follows >phyper(26,830,31042,337, lower.tail=F) >phyper(16,387,31042,337, lower.tail=F) . . . I am only running some selected categories but I would like to correct this value for multiple testing since I have 3121 possible tests according to 3121

I'd like to fit the (1-displaced) negative hypergeometric distribution to data samples such as the following:- x <- c(370, 311, 299, 266, 265, 232, 197, 198, 170, 154, 133, 123, 120, 103, 80, 72, 69, 67, 67, 50, 36, 35, 26, 23, 15, 11, 9, 6, 5, 3, 3, 2, 2, 2) i.e., I want to estimate the parameter values of K and M (with my data, n would usually be the same as the length of the data

In both versions of R to which I currently have access (R-0.16.1 and R-0.61.1), "phyper" stops returning correct cumulative probabilities as the parameters of the hypergeometric distribution get large. For example, when N1=1345, N2=1055, and n=1330, phyper returns either 0 or 1, and nothing in between. Looking at phyper.c, it's clear what's happening. First a term (called

A cut and paste typo has crept in and is rendering all values returned for the hypergeometric distribution incorrect. The problem is in src/main/arithmetic.c in the function "math4". The lines PROTECT(sy = allocVector(REALSXP, n)); a = REAL(sa); b = REAL(sb); c = REAL(sc); d = REAL(sc); /* <-- change this line */ y = REAL(sy); should

For those who are interested, I have made available a R function for noncentral hypergeometric distribution at http://www.geocities.com/jg_liao/software/Hypergeometric/hypergeometric_in_R.txt The paper that describes the algorithm will appear in The American Statistician. The function does not run on S-plus as the R's scoping rule is used. Here is how the function can be used: > n1

Dear All, I am looking for an implementation in R of the Appell Hypergeometric function. Any suggestions will be more than appreciated! GP -- dr. Giovanni Parrinello External Lecturer Medical Statistics Unit Department of Biomedical Sciences Viale Europa, 11 - 25123 Brescia Italy Tel: +390303717528 Fax: +390303717488 email: parrinel at med.unibs.it

Dear R team, I have a simple question. I tried this command: phyper(17,449,19551,181, FALSE) [1] 1.47295e-07 and then I tried this command: (fisher.test(matrix(c(17,449,181,19551),2,2), alternative='greater'))$p.value [1] 3.693347e-06 Shouldn't be identical the results of the two commands ? What is the difference ? Thx a lot -- View this message in context:

Dear All I have a question about the hypergeomteric distribution. Example 1: I have a universe of 6187 objects, and 164 have a particular attribute, therefore 6187-164 do not have that attribute. I sample 249 of those objects, and find that 19 have that attribute. I get a p-value here (looking at just over-representation): phyper(19, 164, 6187-164, 249, lower.tail=FALSE) [1] 7.816235e-06

Dear R Users, There exists a non-central hypergeometric distribution function in the (MCMCpack) package, and a hypergeometric distribution function in the (stats) package. Is there a function for sampling from an extended hypergeometric distribution? Thanks, Narcyz This message is intended for the addressee named and may con...{{dropped}}

Is there any way to know how the "dmvt" function computes the hypergeometric function needed in the calculation for the density of multivariate t distribution? -- View this message in context: http://r.789695.n4.nabble.com/hypergeometric-function-in-mvtnorm-tp4483730p4483730.html Sent from the R help mailing list archive at Nabble.com.

I'm going to use dhyper(x, m, n, k) to get a 95% coverage. Let me use an example to explain my problem: Suppose I have a urn containing 90 red and 10 black balls. Now I wanna remove 3 from the urn. By the following codes: m<-90;n<-10;k<-3; x<-0:3 dhyper(x,m,n,k) I can obtain the probability that 0,1,2,3 red balls will be removed. 0.000742115 0.025046382 0.247680891

"help" We want to estimate the number of caribou in Jasper. We recently conducted an aerial survey and saw 70 uncollared caribou and 8 of 11 collared caribou. We want to estimate the number of caribou in this population with 95% confidence limits. Gary White uses the hypergeometric distribution and determines the population estimates using maximum likelihood and 95%CL as