similar to: Random number quality

Hello R Experts, I kindly request your assistance on figuring out how to get a stratified random sampling proportional to 100. Below is my r code showing what I did and the error I'm getting with sampling::strata # FIRST I summarized count of records by the two variables I want to use as strata Library(RODBC) library(sqldf) library(sampling) #After establishing connection I query the data

Dear all, I have to select 122 stratified random samples from a population of >3900 cells. I have 41 strata and I have to draw a different number of samples from them(between 2 and 8). I have tried to apply the funtion strata following the instruction in the manual: strata(dataframe, stratanames=NULL, size, method=c("srswor"), pik,description=TRUE) but I get the error

Dear Helpers   I have a sample frame and i have sampled from it using three methods and now i want to calculate the statistics but i only get the population parameters.   H <- matrix(rnorm(100, mean=50000, sd=5000)) sampleframe=data.frame(type=c(rep("H",100)),value=c(H)) sampleframe   str=strata(sampleframe,c("type"),size=c(20,), method="srswor")

On 05/25/2018 09:17 AM, Michal Privoznik wrote: >>> We should probably seed it with data from /dev/urandom, and/or the new >>> Linux getrandom() syscall (or BSD equivalent). > > I'm not quite sure that right after reboot there's going to be enough > entropy. Every service that's starting wants some random bits. But it's > probably better than what we

On 05/29/2018 03:38 PM, Martin Kletzander wrote: > On Fri, May 25, 2018 at 09:37:44AM -0500, Eric Blake wrote: >> On 05/25/2018 09:17 AM, Michal Privoznik wrote: >> >>>>> We should probably seed it with data from /dev/urandom, and/or the new >>>>> Linux getrandom() syscall (or BSD equivalent). >>> >>> I'm not quite sure that right

On 12/28/18 2:55 PM, Richard W.M. Jones wrote: > Currently we use non-cryptographically secure random numbers in two > places, the error filter (to inject errors at random) and the random > plugin. For this we have used either random_r or a home-brew-ish > Linear Congruential Generator. Use of random_r is problematic on BSDs > because it doesn't exist there. Use of the LCG is

Hallo, I'm trying to sample a matrix with simple random sampling without replacement but seem to have a problem with the matrix length. Both sample() and srswor() use length() which returns the number of columns in matrix. This means that to function it seems that the sample size exceeds the matrix length. I need to sample the whole matrix for there are auxiliary variables I need for further

On Tue, May 29, 2018 at 10:06:25AM -0400, John Ferlan wrote: > > >On 05/29/2018 09:44 AM, Michal Privoznik wrote: >> On 05/29/2018 03:38 PM, Martin Kletzander wrote: >>> On Fri, May 25, 2018 at 09:37:44AM -0500, Eric Blake wrote: >>>> On 05/25/2018 09:17 AM, Michal Privoznik wrote: >>>> >>>>>>> We should probably seed it with

Hello, We have written a program (below) to model the effect of a covariate on observed values of a response variable (using only 80% of the rows in our dataframe) and then use that model to calculate predicted values for the remaining 20% of the rows. Then, we compare the observed vs. predicted values using a linear model and inspect that model's coefficients and its R2 value. We wish

Greetings. I'm wondering if OpenSSH automatically falls back to the internal PRNG (such as used on Solaris) when it can't use a better alternative. The reason I ask is this: the machine I am compiling OpenSSH on has the /dev/random patch for Solaris 8. I'd like OpenSSH to use /dev/random whenever possible, if it exists. However, I'd prefer NOT to have to compile a separate

v2: - Fix seeding. - Add a test that nbdkit-random-plugin is producing something which looks at least somewhat random. Rich.

The 53 bits only encode at most 2^{32} possible values, because the source of the float is the output of a 32-bit PRNG (the obsolete version of MT). 53 bits isn't the relevant number here. The selection ratios can get close to 2. Computer scientists don't do it the way R does, for a reason. Regards, Philip On Wed, Sep 19, 2018 at 9:05 AM Duncan Murdoch <murdoch.duncan at

Hi R-Developers, I had a question about the random number generator used in the R StandAlone Math Library. The stand-alone library depends on the unif_rand() function for most simulated values, and this function is provided in the sunif.c file in the relevant directory. At present, this program implements the "Marsaglia-Multicarry" algorithm, which is described throughout the R

Currently we use non-cryptographically secure random numbers in two places, the error filter (to inject errors at random) and the random plugin. For this we have used either random_r or a home-brew-ish Linear Congruential Generator. Use of random_r is problematic on BSDs because it doesn't exist there. Use of the LCG is simply a bad choice. Replace both uses with a better quality and

Over the holidays, I intend to finally rid portable OpenSSH of the builtin entropy collection code. Here's what I intend to do: When init_rng is called, we'll check OpenSSL's RAND_status(). If this indicates that their PRNG is already seeded, we'll do nothing. This effectively detects platforms which have /dev/urandom (or similar) configured into OpenSSL. If OpenSSL isn't

Currently we use non-cryptographically secure random numbers in two places, the error filter (to inject errors at random) and the random plugin. For this we have used either random_r or a home-brew-ish Linear Congruential Generator. Use of random_r is problematic on BSDs because it doesn't exist there. Use of the LCG is simply a bad choice. Replace both uses with a better quality and

Hi, dovecot tries to use OpenSSL's PRNG to generate random numbers if there is no /dev/urandom found. Unfortunately, it is flawed in its present form, since the PRNG is not seeded before RAND_bytes() is called in src/lib/randgen.c (on systems which have /dev/urandom, OpenSSL automatically seeds its PRNG from the urandom device). Here's a patch to address this issue: it tries to seed

On Fri, Jun 01, 2018 at 11:17:44AM +0100, Daniel P. Berrangé wrote: >On Wed, May 30, 2018 at 10:21:54PM +0200, Martin Kletzander wrote: >> On Tue, May 29, 2018 at 10:06:25AM -0400, John Ferlan wrote: >> > >> > >> > On 05/29/2018 09:44 AM, Michal Privoznik wrote: >> > > On 05/29/2018 03:38 PM, Martin Kletzander wrote: >> > > > On Fri,

Just for peace of mind, can someone who knows the openssh code better than I do, confirm that openssh doesn't use (in any circumstances) the openssl prng (since the code in versions prior to 0.9.6b is rather weak). My understanding is that it doesn't (using either /dev/random, egd, prngd or the builtin code), but I may have missed some other use of the openssl prng elsewhere... -- Jon

Hello All, I want to obtain the LLVM IR of a program (pixel-test.c from pixman library), I am using the following command to obtain the LLVM IR representation of this program: $ clang -fsyntax-only ./test/pixel-test.c -S -emit-llvm -o pixel-test.ll However I get the following error: ./test/utils-prng.h:137:32: error: can't convert between vector values of different size