similar to: hypergeometric & population estimates

I am creating habitat selection models for caribou and other species with data collected from GPS collars. In my current situation the radio-collars recorded the locations of 30 caribou every 6 hours. I am then comparing resources used at caribou locations to random locations using logistic regression (standard habitat analysis). The data is therefore highly autocorrelated and this causes Type

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

I read the docs and did the following: smbd, nmbd, winbind all running, also able to get domain user/group info. with "wbinfo". However still can't su, telnet to the linux box with my active directory user account on w2k. Am I missing something? In /lib ------ /lib/libnss_winbind.so /lib/libnss_winbind.so.2 /etc/nsswitch.conf ------------------ passwd: files winbind shadow:

Dear R Users, I employed the phyper() function to estimate the likelihood that the number of genes overlapping between 2 different lists of genes is due to chance. This appears to work appropriately. Now i want to try this with 3 lists of genes which phyper() does not appear to support. Some googling suggests i can utilize the Multivariate hypergeometric distribution to achieve this. eg.:

----- Original Message ----- From: David Hoang To: samba-bugs@samba.org Sent: Friday, September 20, 2002 4:20 PM Subject: Winbind-bug I am using winbind and I notice it's not letting me logon to my unix box unless i have created a unix-style account with entries in /etc/passwd & shadow. I thought winbind was suppose to allow me to logon using my active directory (w2k) box. I please

I would like to use a map or aerial photo as a background to plotting solid lines and text, and semi-transparent color contours, in base and lattice graphics. Plot coordinates need to be consistent with the georeferenced background. For example, a color contour plot would have an gray-toned aerial photograph as a background for overprinted semi-transparent color contours of some spatially

Hello All and thanks in advance for any advice. I have a data frame with rows corresponding radio-collared animals (see sample data below). There is a start date (DATESTART), and end date (DATEEND), and the number of days on air (DAYSONAIR). What I would like to do is add a column called DATE to so that each row ID has a row for every day that the radio collar was on the air while copying all

Hello, I am working within package 'maptools' to plot a number of collared animal locations by reading in shapefiles of locations, roads, hydrology, and landownership as imported layers. The trouble I have is that some individual locations are overlapping and I would like to "zoom" into or create new plots for overlapping points/points that are too close together. I will be

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}}

I have read in Paul Murrell's book R Graphics about how to use a bitmap as background for a plot (page 107). Also, I routinely use function read.shape() in package maptools to read maps in shapefile format. Now, I would like to overlay an aerial photograph in .jpg format and a map. I think I could do the alignment manually for each case, but wonder if there is a better, automated way. I notice

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

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

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.

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.

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

I have been reading, in various sources, that a poisson distribution is related to binomial, extending the idea to include numbers of events in a given period of time. In my case, the hypergeometric distribution seems more appropriate, but I need a temporal dimension to the distribution. I have weekly samples of two kinds of events: call them A and B. I have a count of A events. These change

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

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

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:

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