similar to: R-beta: Re: [S] pbinom

This came up due to a question from Anders Hald: Bernoulli calculated an approximation to the smallest n so that P(0.58 <= x/n <= 0.62) >= 1000/1001 What is the exact value? Now try n <- 6350:6500 Pr <- function(n)pbinom(0.62*n,n,0.6) - pbinom(0.58*n,n,0.6) + dbinom(0.58*n,n,0.6) plot(n,Pr(n),type="b") abline(h=1000/1001) min(n[Pr(n)>1000/1001]) Next, try Pr

Hello all, I am trying to understand the different results I am getting from the following 3 commands: chisq.test(c(62,50), p = c(0.512,1-0.512), correct = F) # p-value = 0.3788 binom.test(x=62,n=112, p= 0.512) # p-value = 0.3961 2*(1-pbinom(62,112, .512)) # p-value = 0.329 Well, the binom.test was supposed to be "exact" and give the same results as the pbinom, while the chisq.test

Full_Name: Chanseok Park Version: R 2.2.1 OS: RedHat EL4 Submission from: (NULL) (130.127.112.89) pbinom(any negative value, size, prob) should be zero. But I got the following results. I mean, if a negative value is close to zero, then pbinom() calculate pbinom(0, size, prob). dbinom() also behaves similarly. > pbinom( -2.220446e-22, 3,.1) [1] 0.729 > pbinom( -2.220446e-8, 3,.1)

On Feb 10, 2005, at 7:38 PM, George W. Gilchrist wrote: > Today I was running a graduate level stats lab using R and we > encountered a > major problem while using the current build of the Cocoa GUI: > >> From the GUI: >> system.time(pbinom(80, 1e5, 806/1e6)) > [1] 14.37 4.94 30.29 0.00 0.00 >> > >> From the command line on the same machine: >>

Full_Name: Uffe H?gsbro Thygesen Version: 2.2.0 OS: linux Submission from: (NULL) (130.226.135.250) Hello all. pbinom(q=0,size=0,prob=0.5) returns the value NaN. I had expected the result 1. In fact any value for q seems to give an NaN. Note that dbinom(x=0,size=0,prob=0.5) returns the value 1. Cheers, Uffe

I am using Ferret for a Rails app in which Rails runs as one user but I have other processes that run as a different user that modify the ferret index. This is done in large part to mitigate the damage if a major exploit is found in Rails again. The problem is Ferret creates all its index files with rw for the user only. I have included a small patch that changes Ferret to create these

In <R 1.8.1 the following fragment worked properly, now (1.8.1) it creates the following warning/error: Any advice appreciated. stt <- data.frame() # load all datasets into a dataframe for (ds in 1:n) { stt[ds] <- as.matrix(read.table(fileList[ds])) } -- > stt <- data.frame() > # load all datasets into a dataframe > for (ds in 1:n) { + stt[ds] <-

The real problem is that pbeta can take forever. That's bug #7153 and a fix is within reach. Morten

The parts of klibc specific to the alpha architecture. Signed-off-by: H. Peter Anvin <hpa at zytor.com> --- commit 5e5ce29210ac33a0b3704eb9ab5e5d5b55375575 tree 2ec24df596e13c21b68da4d905f546770d36fdad parent 8529b52550ba78984998d3a9cc9deb467217fa3e author H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun 2006 16:58:14 -0700 committer H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun

Hi - I am not familiar with R. Could I ask you a quick question? When I read a file like this, I get an error. Not sure what I am doing wrong. I use a MAC. How do I specify a full path name for a file in R? Or do files have to reside locally? > KoreaAuto <- read.table(""/Users/ raviramaswamy/Documents/Rutgers/STT 586/HW1 Data.txt"") Error: unexpected numeric

Dear Spencer Thank you for this extensive explanation of the problem. I was just curious. Best regards Christian ============================================== Christian Stratowa, PhD Boehringer Ingelheim Austria Dept NCE Lead Discovery - Bioinformatics Dr. Boehringergasse 5-11 A-1121 Vienna, Austria Tel.: ++43-1-80105-2470 Fax: ++43-1-80105-2683 email: christian.stratowa at

Dear R users, I?m trying to optimize simultaneously two binomials inequalities (used in acceptance sampling) which are nonlinear solution, so there is no simple direct solution. Please, let me explain shortly the the problem and the question as following. The objective is to obtain the smallest value of 'n' (sample size) satisfying both inequalities: (1-alpha) <= pbinom(c, n, p1)

Full_Name: Andrew Grant McDowell Version: R 1.1.1 (but source in 1.3.0 looks fishy as well) OS: Windows 2K Professional (Consumer) Submission from: (NULL) (194.222.243.209) In article <xeQ_6.1949$xd.353840@typhoon.snet.net>, johnt@tman.dnsalias.com writes >Can someone help? In R, I am generating a vector of 1000 samples from >Bin (1000, 0.25). I then do a Kolmogorov Smirnov test

Attached is the first 32 seconds of the driver output after applying the patch which fixes the battery scaling problem for this UPS. Matthew Stapleton Email: matthew4196 at gmail.com On 10/08/14 01:27, Charles Lepple wrote: > On Aug 8, 2014, at 9:15 AM, Charles Lepple <clepple at gmail.com> wrote: > >> On Aug 7, 2014, at 10:52 PM, Charles Lepple <clepple at gmail.com>

This is an inquiry for all those who have been working on external data base applications. I sent an inquiry (below) to snews about this sort of thing a couple of years ago and eventually decided that I would wait to see what external database developments occurred and then revisit the problem. I hope that foundations are now better. Suppose for the sake of concreteness you have a large

Hello all, A friend just showed me how ks.test fails to work with pbinom for small "size". Example: x<-rbinom(10000,10,0.5) x2<-rbinom(10000,10,0.5) ks.test(x,pbinom,10,0.5) ks.test(x,pbinom,size = 10, prob= 0.5) ks.test(x,x2) The tests gives significant p values, while the x did come from binom with size = 10 prob = 0.5. What test should I use instead ? Thanks, Tal

On Sun, 1 Jul 2001 mcdowella@mcdowella.demon.co.uk wrote: > Full_Name: Andrew Grant McDowell > Version: R 1.1.1 (but source in 1.3.0 looks fishy as well) > OS: Windows 2K Professional (Consumer) > Submission from: (NULL) (194.222.243.209) Please upgrade: we've found a number of Win2k bugs and worked around them since then, let alone teh bug fixes and improvements in R .... >

Dear R Users, Is the p-value reported in a two-tailed binomial exact test in error or is it a feature? If it is a feature, could someone provide a reference for its two-tailed p-value computations? Using Blaker's (2000 - Canad. J. Statist 28: 783-798) approach,the p-value is the minimum of the two-tailed probabilities $P \left(Y\geq y_{obs}\right)$ and $P\left(Y\leq y_{obs}\right)$

I'm trying to get some applications working on my Wine install, some applications just work without trouble (and even work better than on windows! A good example of this is Master of Orion III), however other applications don't work at all, and are supposed to be quite simple to get working (WoW, IE using any of three or four techniques I found online, etc). Are there anyapplications or

Dear R users, I?m trying to optimize simultaneously two binomials inequalities used to acceptance sampling, which are nonlinear solution, so there is no simple direct solution. The 'n' represents the sample size and the 'c' an acceptance number or maximum number of defects (nonconforming) in sample size. The objective is to obtain the smallest value of 'n' (sample size)