similar to: Studentized maximum modulus distribution

Has anyone written a function to find the quantiles for the studentized maximum distribution, and the studentized maximum modulus distribution? Thanks for any help. Kostas --------------------------------- [[alternative HTML version deleted]]

Hi Folks, I have created a website with over 70 R tutorials on a wide range of subjects. The site is aimed at data analysts who have an idea about what they would like to do, but don't know how to do it in R. The site should be particularly useful for users of statistical packages like SAS, SPSS, Stata, and Systat who would like to get up and running in R quickly. However, I think that it

We cannot help you understand what you are doing if you do not show us what you are doing. Here are some discussions about how to communicate questions about R [1][2][3]. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3] https://cran.r-project.org/web/packages/reprex/index.html -- Sent from my phone.

Dear all, I wanted to compare Bonferroni vs TukeyHSD correction over a range of groups and group sizes, and wanted to use the function qtukey. In the help documentation it says qtukey(p, nmeans, df, nranges = 1, lower.tail = TRUE, log.p = FALSE) Arguments q vector of quantiles. p vector of probabilities. nmeans sample size for range (same for each group). df degrees of freedom for s (see

Well, it is clear enough that the problem is in interpreting the documentation. However, when you claim you tested something, and found it inconsistent with tables, it would be advisable to back it up with examples! The description in the help files and in the sources is admittedly confusing. The original paper has this, rather more clear, description in the abstract: "We consider the

I'm trying to do a modulus operator in R-1.2.2 on Windows -- specific version: R : Copyright 2001, The R Development Core Team Version 1.2.2 Patched (2001-03-22) Here's what the R language manual says: "R contains a number of operators. They are listed in the table below. [snip] % Modulus, binary" Here's what happens on the R console: > records <- 100000 >

try "%%" as the modulus operator and "%/%" for integer division eg 5%%2 equals 1 John Marsland > > -----Original Message----- > > From: Anna H. Pryor [mailto:anna at ptolemy.arc.nasa.gov] > > Sent: 19 May 2003 16:56 > > To: R Help > > Subject: [R] modulus operator? > > > > > > > > Is there a modulus operator in R?

suppose I have following complex number : a = -0.0475983+0.5364486i This number I got as an eigen value of a matrix. Now I would like to calculate the Modulus of this complex number. Is there any function for doing that? Regards, -- View this message in context: http://www.nabble.com/How-to-calculate-modulus-of-complex-number-tp20308154p20308154.html Sent from the R help mailing list archive

With the default openssh configuration, the selected cipher is aes128-ctr. This means that dh_estimate gets called with bits=128, so dh_estimate selects a DH modulus size of 1024 bits. This seems questionable. Since the NSA seems to be sniffing most internet traffic, keeping SSH sessions secure against after-the-fact offline attack matters, and 1024-bit DH is not convincingly secure against

Since we know vq->vring.num is a power of 2, modulus is lazy (it's asserted in vring_new_virtqueue()). Signed-off-by: Rusty Russell <rusty at rustcorp.com.au> --- drivers/virtio/virtio_ring.c | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/arch/x86/lguest/boot.c b/arch/x86/lguest/boot.c --- a/arch/x86/lguest/boot.c +++ b/arch/x86/lguest/boot.c @@

Since we know vq->vring.num is a power of 2, modulus is lazy (it's asserted in vring_new_virtqueue()). Signed-off-by: Rusty Russell <rusty at rustcorp.com.au> --- drivers/virtio/virtio_ring.c | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/arch/x86/lguest/boot.c b/arch/x86/lguest/boot.c --- a/arch/x86/lguest/boot.c +++ b/arch/x86/lguest/boot.c @@

Is there a modulus operator in R? Anna

I am a statistician and I come up to an interesting problem in cryptography. I would like to use R since there are some statistical procedures that I need to use. However, I run into a problem when using the modulus operator %%. I am using R 2.2.1 and when I calculate modulus for large numbers (that I need with my problem) R gives me warnings. For instance if one does: a=1:40; 8^a %% 41 one

R users, I am having a problem with the modulus operator for large numbers as follows, a <- 2 n <- 561 ## n is the first Carmichael number, so by Fermat's Little Theorem the below should equal zero. (a^(n-1) - 1) %% n [1] 2.193172e+152 ## Seems that R and Fermat disagree ## Also, 1000000000000000000 %% 11 [1] -32 This seems like a bug. Should I be avoiding integer math for large

Dear R friends, I was wondering if there were factorial and modulus functions out there that I've somehow overlooked? -P. -- Peter L. Hurd, Ph.D. phurd at uts.cc.utexas.edu http://www.zo.utexas.edu/research/phurd fax 512.471-3878 Section of Integrative Biology, University of Texas, Austin TX 78712 USA

Full_Name: M. Edward Borasky Version: 1.2.2 OS: both Windows 2000 and Red Hat Linux 7.1 Submission from: (NULL) (208.130.245.188) According to the R language manual, "%" is the modulus operator. However, on both Windows and Linux, I get a syntax error when I type records <- 100000 records % 1000 I tried wrapping the operands with "as.integer ()" but that didn't help

On 1/30/2006 1:39 PM, Ionut Florescu wrote: > Thank you for the quick reply, I will look into the R packages. > For crashing R try this: > > generator.zp=function(x,p) > {a=1:(p-1); b=x^a%%p; > if(all(b[1:(p-2)]!=1)&&(b[p-1]==1)){return(x, " Good ")} > else{return(x, " No Good, try another integer ")} > } Thanks, I can reproduce the crash using

I know this is not really an R question - it is a query about a recent book on R ("R In Action") by Robert Kabacoff, (Manning Publications 2011). There are many references to interesting topics in R in the book, BUT, I do not find a bibliography/list of references in the book! Does anybody know if there are errata for the book available some place? Thanks, Ravi -- View this message

Dear Friends and Colleagues, I'm puzzling over how to interpret or use some bootstrap intervals. I think that I know what I should do, but I want to check with knowledgeable people first! I'm using a studentized non-parametric bootstrap to estimate 95% confidence intervals for three parameters. I estimate the variance of the bootstrap replicates using another bootstrap. The script

I am trying to find studentized bootstrap intervals for the skewness of a data set. I have tried the following (nerve.dat is a set of data containing observations on one variable) (using Windows XP): x <- scan("e:/Flashbackup2009/Nonparametrics/nerve.dat") n <- length(x) library(e1071) skewness(x) library(boot) sampleskew <- function(x,d) {return(skewness(x[d]))} bb <-