similar to: Fisher test accuracy in doubt

Hi, I noted a discrepancy between R and openepi when I ran a fisher test with the same matrix. In R: > a=matrix(c(1,2,6,17), nrow=2) > a [,1] [,2] [1,] 1 6 [2,] 2 17 > fisher.test(a, conf.int=T) Fisher's Exact Test for Count Data data: a p-value = 1 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.02061498

Sir, I have a problem here while applying chisquare test to the following Data ( below the subject of this mail) ...when I wanted to test the significance using three different free statistical packages, here R, EpiInfo and OpenEpi. *Only OpenEpi accepts the test based on Cochran's Recommendations. * R says " chi squared approximation may be incorrect." Does it mean the same as

I'm seeing what looks to me like odd behaviour when I use na.omit on a simple "length" function, as follows. > sno [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 > a [1] 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 > b [1] 1 1 0 1 1 1 0 0 NA 0 0 0 NA 0 1 NA 0 1 0 0

Cordial Saludo Actualmente estoy realizando una función para gráficar una nube de palabras el código que tengo es el siguiente: library(twitteR)library(tm)library(wordcloud)library(RXKCD)library(RColorBrewer) tweets=searchTwitter(''@afflorezr'', n=1500) generateCorpus= function(tweets,my.stopwords=c(),min.freq){ #Install the textmining library require(tm) require(wordcloud)

I purchased a Fisher Price Computer School program. It's a kid friendly USB keyboard (can be viewed here http://www.fisher-price.com/fp.aspx?st=10&e=ccslanding) I'm running Ubuntu 10.4 Lucid which also has the latest version of Wine. After installing I get this error Exception EExternalException in module ntdll.dll at 0002E3F8. External exception C0000025 Any ideas on this error. It

Dear helplist Many many thanks to everyone who helped me. The trick was to use tabulate() or, better, tab <- rep(0,50) names(tab) <- 1:50 tab[names(table(sleeps))] <- table(c) My original dataset was a list of 50 trees and a length 12 vector recording which tree a certain possum slept in on 12 nights. As Professor Ripley points out, a Monte-Carlo simulation is easy to set up, and it

I just a ran a fisher.test on a 9x5 table and received the following message Error in fisher.test(apaslg.t) : FEXACT error 30. Stack length exceeded in f3xact. This problem should not occur. I agree. The problem should not occur. I did some searching but only found other reports of the problem. Does anyone know of a fix? Jeff Internal Virus Database is out-of-date.

I am trying to analyse a mouse dataset with 45000 genes and 24 or 48 timpoints to find cycling genes using GeneCycle. However the function fisher.g.test never runs. I am pasting the input/output summary below. I would be grateful if someone could provide any insight. I 've run GeneCycle successfully in the past on similar data, but I had to reinstall R and the packages again, so this version

Helloo, i have measure VaR with time dependen volatility (GARCH) and now want to measure expected shortfall (ES) using cornish fisher expansion (cause non-normal distribution), but i have limitedness about using R. Could you help me, how measure that ES with cornish fisher expansion using R.... i really need your help. thank you for the attention. Regards Eko [[alternative HTML version

Hi! I am Marta Colombo, student in Mathematical Engineering at "Politecnico di Milano". For my master degree thesis I have to analyze some categorical data. My dataset is composed by 327 individuals and 16 variables. I am using Fisher exact test to test independence on IxJ contingency tables, but I have a problem with one variable. R gives me this error message: FEXACT error 7.

Hi, I have an error with fisher.alpha from the vegan package. > fisher.alpha(data[[1]]) Error in nlm(Dev.logseries, n.r = n.r, p = p, N = N, hessian = TRUE, ...) : missing value in parameter I am trying to find fisher alpha for a list of 100 data frames, and I tried it on individual data frames in the list, which gave me the error above. I have every data frame in the same format as the

Dear All, I am trying to find MLE by using "OPTIM" function. Difficult in differentiating some parameter in my objective function, I would like to use the returned hessian matrix to yield an estimate of Fisher's Information matrix. My question: Since the hessian is calculated by numerical differentiate, is it a reliable estimate? Otherwise I would have to do a lot of work to

fisher.test(matrix(c(1,20,246,6873),2),hybrid=F) Error in if (f(lower, ...) * f(upper, ...) >= 0) stop("f() values at end points not of opposite sign") : missing value where logical needed Thomas Lumley Assistant Professor, Biostatistics University of Washington, Seattle -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list --

Prof Brian D Ripley wrote: > > On Thu, 24 Aug 2000, Emmanuel Paradis wrote: > > > Dear All, > > > > We encountered an unexpected crash with R under Windows when running > > fisher.test(). We had this problem only under this OS and only with the > > following data: > > > > > T > > [,1] [,2] > > [1,] 2 1 > > [2,]

I have seen in nmath directory that (dpqr)f is about F distribution. The result obtained from these functions give the same result than The F Fisher-Snedecor in cephes lib (from http://www.moshier.net/). IIs it the same F (I think) and what's the difference between the two F. Cheers, Greg -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s

I just found a bug in fisher.test(). This is rw1080, on windows XP. A p-value can certainly not be Inf, but: > religion Costumbres rel orig Religion Si Algunas veces Nunca católica 2121 4700 6234 prot/evan 100 216 2461 otra C 27 67 502 otra 0 0 14 > fisher.test(religion, workspace=2000000)

Full_Name: Anja von Heydebreck Version: 1.9.1 OS: Linux Submission from: (NULL) (155.250.128.25) I obtained a negative p-value from the fisher.test() function: > fisher.test(matrix(c(14576,3023,89,68),2), alternative="g")$p.value [1] -8.426593e-13 With R 1.8.1, I got a p-value of -6.239231e-12 for this example. Anja von Heydebreck

in the comments at the beginning of the first example, line 6: "and the women's guess" should be "and the woman's guess" Ben Bolker

Hello: Please help me through my confusion. I am having trouble reconciling the difference between what I believe is the conventional definition of an odds ratio for a 2-by-2 table and the output produced by fisher.test() in R. Consider the following example: > Discrim <- matrix(c(1,10,24,17), + nr = 2, + dimnames = list(AGE = c('young', 'old'), +

hello, I am using LDA and QDA function of MASS library. I understand Fisher LDA is a method non-probabilistic in nature, so I wonder what happens when I try to predict my test set examples as in: > fit <- lda(labels~., data=train.table, prior=c(.5,.5)) > pred <- predict(fit, data=test.table, prior=c(.5,.5)) Specifically I ask this because in my problem there are 700 examples