similar to: underflow of fisher.test result

Hi Nouveau developers, We've posted a short document about disabling display underflow reporting on GK104, which is needed due to an incorrect setting in some production GK104 VBIOSes: ftp://download.nvidia.com/open-gpu-doc/gk104-disable-underflow-reporting/1/gk104-disable-underflow-reporting.txt Thanks, - Andy

Dear all, I'm a bit concerned about underflow problems. Such problems typically occur when two almost equal numbers are subtracted. I was wondering if R has any mechanisms for warning users about potential problems, or if any policy has been developed? To check, I just did: > 1.0000000000000001 - 1 [1] 0 > 1.000000000000001 - 1 [1] 1.110223e-15 > 1.00000000000001 - 1 [1]

When xl is called to create a domU and there is not enough memory available, then the autoballooning is called to extract memory from dom0. During the ballooning a loop in libxl_wait_for_free_memory() waits unless enough memory is available to create the domU. But because of a variable-underflow the loop can finish too soon and xl finally aborts with the message: xc: error: panic:

The besselK() function knows about overflows/underflows internally; there is a constant xmax_BESS_K in src/nmath/bessel.h (and referred to only in bessel_k.c), equal to 705.342, which is checked if expon.scaled is FALSE. (The equivalent number for bessel_i.c is 709, defined as exparg_BESS in bessel.h.) However, besselK(x) silently returns +Inf if x>705.342. This behavior is reasonable for

Hi All. Sorry to bother you. I have a question about fisher exact test. I counted the presence of gene mutation in two groups of samples. My data is as follows Presence Absence GroupA 4 6 GroupB 5 11 When using the formula of fisher exact test provided by wiki (http://en.wikipedia.org/wiki/Fisher%27s_exact_test), the p-value is 0.29. But when

Hello http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2007-1536 "Integer underflow in the file_printf function in the "file" program before 4.20 allows user-assisted attackers to execute arbitrary code via a file that triggers a heap-based buffer overflow." Is FreeBSD 5.x/6.x affected too? It looks the System has file 4.12. The port has 4.20. Regards, Thomas -- Terry

Hi, I have a text mining project and currently I am working on feature generation/selection part. My plan is selecting a set of words or word combinations which have better discriminant capability than other words in telling the group id's (2 classes in this case) for a dataset which has 2,000,000 documents. One approach is using "contrast-set association rule mining" while the

Dear All, I have a problem understanding the difference between the outcome of a fisher exact test and a chi-square test (with simulated p.value). For some sample data (see below), fisher reports p=.02337. The normal chi-square test complains about "approximation may be incorrect", because there is a column with cells with very small values. I therefore tried the chi-square with

A simple question - using the following fishers test it appears that the P value is significant, but the CI includes 1. Is this result correct? > data.50p10min <- matrix(c(16,15, 8, 24),nrow=2) > fisher.test(data.50p10min) Fisher's Exact Test for Count Data data: data.50p10min p-value = 0.03941 alternative hypothesis: true odds ratio is not equal to 1 95

# is there a bug in the calculation of the odds ratio in fisher.test? # Nicholas Horton, nhorton at smith.edu Fri Jan 22 08:29:07 EST 2010 x1 = c(rep(0, 244), rep(1, 209)) x2 = c(rep(0, 177), rep(1, 67), rep(0, 169), rep(1, 40)) or1 = sum(x1==1&x2==1)*sum(x1==0&x2==0)/ (sum(x1==1&x2==0)*sum(x1==0&x2==1)) library(epitools) or2 = oddsratio.wald(x1, x2)$measure[2,1] or3 =

I want to ascertain the basis of the table ranking, i.e. the meaning of "extreme", in Fisher's Exact Test as implemented in 'fisher.test', when applied to RxC tables which are larger than 2x2. One can summarise a strategy for the test as 1) For each table compatible with the margins of the observed table, compute the probability of this table conditional on the

The following contingency table generates p-value > 1 from fisher.test() ff = c(0,10,250,5000); dim(ff) = c(2,2); fhisher.test(ff)$p.value Sean [[alternative HTML version deleted]]

The following contingency table generates p-value > 1 from fisher.test() ff = c(0,10,250,5000); dim(ff) = c(2,2); fhisher.test(ff)$p.value Sean [[alternative HTML version deleted]]

In an effort to select the most appropriate number of clusters in a mixture analysis I am comparing the expected and actual membership of individuals in various clusters using the Fisher?s exact test. I aim for the model with the lowest possible p-value, but I frequently get p-values below 2.2e-16 and therefore does not get exact p-values with standard Fisher?s exact tests in R. Does anybody know

The "vma->vm_pgoff" variable is an unsigned long so if it's larger than INT_MAX then "index" can be negative leading to an underflow. Fix this by changing the type of "index" to "unsigned long". Fixes: ddd89d0a059d ("vhost_vdpa: support doorbell mapping via mmap") Signed-off-by: Dan Carpenter <dan.carpenter at oracle.com> ---

I'm still trying to install R on my Irix machine. Now I have a new problem that crops up during the checks. I've found the root cause, and it's that R is returning zero for certain things for reasons I don't understand. 2.225073859e-308, entered directly into R, responds "2.225074e-308". 2.225073858e-308 responds "0". Their negative values respond

I'm still trying to install R on my Irix machine. Now I have a new problem that crops up during the checks. I've found the root cause, and it's that R is returning zero for certain things for reasons I don't understand. 2.225073859e-308, entered directly into R, responds "2.225074e-308". 2.225073858e-308 responds "0". Their negative values respond

I seem to be able to use expected values that are decimal (e.g., 1.33) when using chisq.test but not when using fisher.test. This happens when using an array/matrix as input. Fisher.test returns: Error in sprintf(gettext(fmt, domain = domain), ...) : invalid format '%d'; use format %s for character objects. Thus, it appears fisher.test is looking for integers only. I tried putting the

I do not understand how to interpret this to find the T Value for the data. Is there a way to figure this out, or another function that will provide this for me using Fisher's Exact Test? The outcome of my data is listed below. data: DATA p-value = 0.1698 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.6026805 79.8309210 sample estimates:

I have two vectors (a and b) with counts of animals and wanted to calculate fisher's alpha: library(vegan) a <- c(2043, 1258, 52, 1867, 107, 1624, 2, 157, 210, 402, 5, 107, 267, 2, 13683) b <- c(2043, 1258, 52, 1867, 107, 1624, 2, 157, 210, 402, 5, 107, 267, 2, 3000) fisher.alpha(a) fisher.alpha(b) fisher.alpha(a) gave the following warnings: > fisher.alpha(a) [1] 1.572964