similar to: uniform integer RNG 0 to t inclusive

First of all, you can probably go online before you convert all passwords. You can modify your query in dovecot-sql.conf.ext to something like the following: SELECT IF(crypt_pass IS NULL OR crypt_pass='', CONCAT('{PLAIN}',plain_pass), crypt_pass) as password FROM mailuser .. This is assuming that: * for incoming users, you have a plain_pass column containing just the plaintext

You do need to complete the query. Don't just replace your query with the one I wrote. You have to have a WHERE clause, and you might need to return other fields. Keep the password query you had before, just replace the 'password' column with "IF( ... ) as password" The query as you have it now simply returns all the passwords for all the users, because you don't have a

This looks good, except it is truncated, it should be something like 95chars long, Is your hash column set to 128 or up around there or larger? Quoting Carl A Jeptha <cajeptha at gmail.com>: > Sorry for double reply, but this what a password looks like in the > "hashed" password column: > {SHA512-CRYPT}$6$wEn1UFuiMzl9OSjd$Vh/PZ95WDID1GwI2 > > ------------

I am trying to run the configure for 1.2.2 on an intel solaris 2.7 box and I get an error for urandom not found. I cant find anything related to rand, urand, random, rng, or urandom on my box. How can I get around this, or where can I get urandom? Chris

Hello all, I am generating large samples of random numbers. The RNG help page says: "All the supplied uniform generators return 32-bit integer values that are converted to doubles, so they take at most 2^32 distinct values and long runs will return duplicated values." But I find that the cycles are not the same as the 32-bit integer. My test indicated that the cycles for

Thank you Duncan and Gabriel. I think that my trivial example was a little too trivial and is causing some confusion. What's happening in the real function I'm writing is... 1. In R: Draw tens-of-thousands of times from a handful to Gamma RVs with different parameters to initialize some variables. (Technically, I'm calling gtools::rdirichlet which calls stats::rgamma) 2. Transfer the

Hi Folks, I'm trying to learn R. One of my intentions is to do some Monte-Carlo type modelling of road "accidents". Below, to simplify things, I've appended a little program which does a 'monte-carlo' type simulation. However, it is written in a way which seems a bit un-natural in R. Could someone help me make this a bit more R-ish please? Or is there a

Good morning, I have currently 63 .csv files most of which have lines which look like 01/06/05,23445 Though some files have two numbers beside each date. There are missing values, and currently the longest file has 318 rows. (merge() is losing the head and doing runaway memory allocation - but thats another question - I'm still trying to pin that issue down and make a small repeatable

Is there a function in R to calculate the generalized determinant of a singular matrix? - similar to the ginv() used to compute the generalized inverse. I can't seem to find any R related posts at all. Thanks in advance, Sean O'Riordain Trinity College Dublin -- View this message in context: http://r.789695.n4.nabble.com/Moore-Penrose-Generalized-determinant-tp4471629p4471629.html Sent

Hi, folks, runif (n,min,max) is the typical code for generate R.V from uniform dist. But what if we need to fix the mean as 20, and we want the values to be integers only? Thanks [[alternative HTML version deleted]]

Good morning, Is there a way to get table() to default to including NAs - as in... table(..., useNA='ifany') or table(..., useNA='always') or table(..., exclude=NULL) ? I can't see a way under table() or options() or searching the archives (probably using the wrong keyword?). > t1 <- c(1,2,3,3,3,2,NA,NA,NA,NA) > table(t1) t1 1 2 3 1 2 3 I keep forgetting to

I find the documention for RNGversion in R-devel is a bit misleading, and suggest adding a sentence to make it clear that the meaning of "default" is not set to its meaning in the earlier R version: `RNGversion' can be used to set the random generators as they were in an earlier R{} version (for reproducibility). RNGversion does not set the meaning of

On 04-Sep-10 19:27:54, Yi wrote: > Enh, I see. > It totally makes sense. > Thank you for your perfect explanation. > Enjoy the long weekend~ > Yi You're welcome! Earlier I tried an experiment with rejection sampling, which seems to work well for the case where you want mean of the sampled values to exactly be the mean of the range being sampled from. The number of tries, even

I have two questions about using a user-defined random number generator (RNG) with the standalone Rmath library. The default RNG with the standalone Rmath library is the Marsaglia-multicarry generator, which has poor properties. The "R Installation and Administration" manual, in the section "The standalone Rmath library", states that: ``` A little care is needed to use the

On 30 August 2016 at 18:29, Duncan Murdoch wrote: | I don't see evidence of a bug. There have been several versions of the | MT; we may be using a different version than you are. Ours is the | 1999/10/28 version; the web page you cite uses one from 2002. | | Perhaps the newer version fixes some problems, and then it would be | worth considering a change. But changing the default RNG

Shengqiao Li wrote: > Hello all, > > I am generating large samples of random numbers. The RNG help page > says: "All the supplied uniform generators return 32-bit integer > values that are converted to doubles, so they take at most 2^32 > distinct values and long runs will return duplicated values." But I > find that the cycles are not the same as the 32-bit

Shengqiao Li wrote: > Hello all, > > I am generating large samples of random numbers. The RNG help page says: > "All the supplied uniform generators return 32-bit integer values that are > converted to doubles, so they take at most 2^32 distinct values and long > runs will return duplicated values." But I find that the cycles are not > the same as the 32-bit

Good evening, Spotted a very minor spelling mistake in the source for the grep help. And thanks to R-Core for all their work - it's a tribute to R-Core, that these sort of "problems" are rare indeed. Best regards, Sean O'Riordain Dublin sean at sean7:~/R/RSVN/R/trunk/src/library/base/man$ svn diff Index: grep.Rd

Good afternoon, As a clarification does it make sense to remove the second 'not' in the 'See Also' documentation for file_test ? Kind regards, Sean O'Riordain ----- Index: src/library/utils/man/filetest.Rd =================================================================== --- src/library/utils/man/filetest.Rd (revision 55639) +++ src/library/utils/man/filetest.Rd

Hi! I'm trying to use lm(y~x) amongst others in an automated way; I've gone through the section on indexing in R-lang and I've looked MASS4. How do I find out more about the structure of the returned object? In perl I can look at object structure pretty-printed in the debugger - is there an R equivalent? I've used coef(lm(y~x))[[1]] and coef(lm(y~x))[[2]] to extract the