similar to: Extreme bunching of random values from runif with Mersenne-Twister seed

Bill, I have clarified this on SO, and I will copy that clarification in here: "Sure, we tested them on other 8-digit numbers as well & we could not replicate. However, these are honest-to-goodness numbers generated by a non-adversarial system that has no conception of these numbers being used for anything other than a unique key for an entity -- these are not a specially constructed

Martin, Thanks for the helpful reply. Alas I had forgotten that (implied) unfavorable comparisons of *nix systems with Windows systems would likely draw irate (but always substantive) responses on the R-devel list -- poor phrasing on my part. :) Regardless, let me try to address some of the concerns related to the construction of the MRE itself and try to see if we can clean away the shrubbery

Bill, Appreciate the point that both you and Serguei are making, but the sequence in question is not a selected or filtered set. These are values as observed in a sequence from a mechanism described below. The probabilities required to generate this exact sequence in the wild seem staggering to me. T On Fri, Nov 3, 2017 at 11:27 PM, William Dunlap <wdunlap at tibco.com> wrote: >

The random numbers in a stream initialized with one seed should have about the desired distribution. You don't win by changing the seed all the time. Your seeds caused the first numbers of a bunch of streams to be about the same, but the second and subsequent entries in each stream do look uniformly distributed. You didn't say what your 'upstream process' was, but it is easy to

Another other generator is subject to the same problem with the same probabilitiy. > Filter(function(s){set.seed(s, kind="Knuth-TAOCP-2002");runif(1,17,26)>25.99}, 1:10000) [1] 280 415 826 1372 2224 2544 3270 3594 3809 4116 4236 5018 5692 7043 7212 7364 7747 9256 9491 9568 9886 Bill Dunlap TIBCO Software wdunlap tibco.com On Fri, Nov 3, 2017 at 10:31 AM, Tirthankar

>>>>> Tirthankar Chakravarty <tirthankar.lists at gmail.com> >>>>> on Fri, 3 Nov 2017 13:19:12 +0530 writes: > This is cross-posted from SO > (https://stackoverflow.com/q/47079702/1414455), but I now > feel that this needs someone from R-Devel to help > understand why this is happening. Why R-devel -- R-help would have been

Tirthankar, "random number generators" do not produce random numbers. Any given generator produces a fixed sequence of numbers that appear to meet various tests of randomness. By picking a seed you enter that sequence in a particular place and subsequent numbers in the sequence appear to be unrelated. There are no guarantees that if YOU pick a SET of seeds they won't produce

Dear R- Users, I am unable to install R packages over the internet. Below is my session information. My guess is that this may be a proxy issue. I have set the http_proxy_user : my user id(network id) : password (machine password) . The error I get is as below > install.packages("MASS") Warning: unable to access index for repository

Hi folks, I am confused whether the following is a bug or it is fine Here is the explanation a <- zoo(c(NA,1:9),1:10) Now If I do rollapply(a,FUN=mean,width=3,align="right") I get > rollapply(a,FUN=mean,width=3,align="right") 3 4 5 6 7 8 9 10 NA NA NA NA NA NA NA NA But I shouldn't be getting NA right ? i.e for index 10 I should get (1/3)*(9+8+7)

I have an ActiveRecord subclass that needs to generate a random (hard to guess) token for each record in its corresponding table. Currently I''m doing something like this: def before_create self[''token''] = random_value while self.class.find_by_token(self[''token'']) self[''token''] = random_value

In the code below, you seem to be essentially using the random number generator to implement a hash function. This isn't a good idea. My impression is that pseudo-random number generation methods are generally evaluated by whether the sequence produced from any seed "appears" to be random. Informally, there may be some effort to make long sequences started with seeds 1, 2, 3, etc.

Hi guys, I can''t find a clear answer to this: is it possible/correct to have several threads write to the same Starling queue at the "same time"? It doesn''t seem reliable according to my tests - but maybe I am doing something wrong. If I do: def test_starling FooWorker.asynch_foo_test(:my_id => ''foo'') temp = [] for i in 1..1000 temp

On 04/11/2017 10:20 PM, Daniel Nordlund wrote: > Tirthankar, > > "random number generators" do not produce random numbers. Any given > generator produces a fixed sequence of numbers that appear to meet > various tests of randomness. By picking a seed you enter that sequence > in a particular place and subsequent numbers in the sequence appear to > be unrelated.

Hello, I have some "stupid" problems managing "date" data. I have a colomn "date", which I converted from a character representation: for example: a="26/02/06" date=strptime(a,format="%d/%m/%y") For one part of the analysis, I'm interested only in the month and the year, so I did: m.y=strftime(date,format="%m/%y") This returns me

Hi people, Does anybody know some Density-Based Method for clustering implemented in R? Thanks, Fernando Prass _______________________________________________________

Any help would be very much appreciated. My Configuration- Solaris 8 - hostname = vail Samba 3.0.10 (downloaded from sunfreeware.com) As per the instructions on sunfreeware, I have also installed the following packages- libgcc-3.3 libiconv-1.9.2 libintl-3.4.0 ncurses-5.4 popt 1.7 readline 5.1 Also on my network- A Windows 2003 ES domain controller: hostname = SEEDS1 domain = SEEDS A Windows

I've got another edition of my simulation replication framework. I'm attaching 2 R files and pasting in the readme. I would especially like to know if I'm doing anything that breaks .Random.seed or other things that R's parallel uses in the environment. In case you don't want to wrestle with attachments, the same files are online in our SVN

Hello, I am having a problem with the zero-inflated negative binomial (package pscl). I have 6 sites with plant populations, and I am trying to model the number of seeds produced as a function of their size and their site. There are a lot of zero's because many of my plants get eaten before flowering, thereby producing 0 seeds, and that varies by site. Because of that and because the

I am trying to make some plots for a poster. Each one needs to be 6 inches by inches. Right now the fonts are too small and the plots don't read well on my poster. I am pretty much an R newbie and I can't figure out how to change the fonts. It would also be nice to know how to specify the size of the plot and maybe how to save the plots as jpeg files. Any help would be much appreciated! I

Hi I have the following code which I would like to simplify. Id does linear regressions and returns the r-squares, and the coefficients. It runs slow, as it is doing the regressions for each - is it possible to get the values in a dataframe which looks as follow: expert | xx | seeds | r.squared | slope | intercept Thanks in advance, Rainer library(reshape) rsqs <- as.data.frame(