similar to: More info - S-Plus compatability

Dear all, I was wondering if someone could point me in the right direction to solve a problem I've encountered. I have a set of S-plus scripts which call an external program to analyse the data (the external program is called Genehunter and is used for genetic analysis). There are a six scripts in total, five of which are called from the main script. I made a few changes like changing

I've noticed that LLVM does a bad job of optimizing array indexing code for FORTRAN arrays declared using the ALLOCATABLE keyword. For example if you have something like the following: DOUBLE PRECISION,ALLOCATABLE,DIMENSION(:,:,:,:) :: QAV ... ALLOCATE( QAV( -2:IMAX+2,-2:JMAX+2,-2:KMAX+2,ND) ) ... DO L = 1, 5 DO K = K1, K2 DO J = J1, J2 DO I = I1, I2 II = I +

Hi Wonsun, can you please provide a testcase. Best wishes, Duncan. > I've noticed that LLVM does a bad job of optimizing array indexing > code for FORTRAN arrays declared using the ALLOCATABLE keyword. > > For example if you have something like the following: > > DOUBLE PRECISION,ALLOCATABLE,DIMENSION(:,:,:,:) :: QAV > ... > ALLOCATE( QAV(

I do the these passages: library(Geneland) set.seed(1) data <- simdata(nindiv=200, coord.lim=c(0,1,0,1) , number.nuclei=5 , allele.numbers=rep(10,20), IBD=FALSE, npop=2, give.tess.grid=FALSE) geno <- data$genotypes coord <- t(data$coord.indiv) path.mcmc <-

Hi, How can I partitioned an example vector like this > print(myvector) [1] 30.9 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 into the following pairwise partition: PAIR1 part1 = 30.9 part2 = 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 PAIR2 part1 = 30.9 60.1 part2 = 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 .... PAIR9 part1 = 30.9

Hi, I have a data frame: > class(B27.vec) [1] "data.frame" > head(B27.vec) AGE Gend B27 AgeOn DD uveitis psoriasis IBD CD UC InI BASDAI BASFI Smok UV 1 57 1 1 19 38 2 1 1 1 1 1 5.40 8.08 NA 1 2 35 1 1 33 2 2 1 1 1 1 1 1.69 2.28 NA 1 3 49 2 1 40 9 1 1 1 1 1 1 8.30 9.40 NA

Dear all: I have a list of dataframes like this, i try to merge this lists of dataframes into one single dataframe, and keep ther column names as usual, how can i do this? i try lapply(aa,rbind), but it dose not work. Best regard! > summary(aa) Length Class Mode [1,] 3 data.frame list [2,] 3 data.frame list [3,] 3 data.frame list [4,] 3 data.frame

I am new to Puppet and very eager to apply it to a project. But I am somewhat stymied by the learning curve. So far I''ve found many very simple examples of how to modify a file or add a user and a very complex example http://reductivelabs.com/trac/puppet/wiki/CompleteConfiguration . I have not been able to find any other examples of a total configuration tree (ie /etc/puppet/*)

Hi, We're encountering a rather weird, sporadic hang during a large-file transfer. A bit of background on the setup: - Host A rsyncs a MySQL database from Host B. Both sides use rsync 3.1.1 on Debian Jessie. - Host B serves the files using rsync --daemon from an ext4 filesystem residing on a thin LVM snapshot. - Host A uses the following command to rsync the files to a btrfs

I have used S-Plus for Windows for some time and have a large collection of personal programs. I have recently installed R-1.1.1 under Linux. I can read the .ssc files from S-Plus into emacs and save to R, but this is apt to be tedious. Any shortcuts to recommend? Will linux R read the _Data files from Windows S-Plus? Would Windows R serve as a useful intermediate transfer? -------------- next

Dear useRs, Please find the new package ibdreg version 0.1.0 on CRAN. The package contains a method for analysis of genetic linkage with covariates by regression methods that use identity by descent (IBD) sharing probabilities for relative pairs. The methods account for correlations of IBD statistics for relative pairs within the same pedigree. The reference is: Schaid DJ, Sinnwell JP,

Dear useRs, Please find the new package ibdreg version 0.1.0 on CRAN. The package contains a method for analysis of genetic linkage with covariates by regression methods that use identity by descent (IBD) sharing probabilities for relative pairs. The methods account for correlations of IBD statistics for relative pairs within the same pedigree. The reference is: Schaid DJ, Sinnwell JP,

Hello, I want to compute the P-value from the joint cumulative distribution of an n-dimensional order statistic in R, using the formula found on http://cmgm.stanford.edu/%7Ekimlab/multiplespecies/Supplement/methods_network.html My data consists of three different techniques (G2D, POCUS and RANDOM), and each has associated with it a number of rankings (integer between 0 and 1000), like for

Author: srust Repository: /hg/zfs-crypto/gate Revision: 4d540ed747f47f1138e3dad6a142ee9f24106c07 Log message: PSARC 2005/546 FMR Update for IBTF 6227237 IBCM blames the client for SM''s fault 6281147 ibtl does not support fast memory registration (FMR) 6334921 tavor needs to support fast memory registration 6337636 tavor should use MSIs when possible Files: update:

Hi All, I meant to take the min row by row. But the result is apparently not what I want. Changing min to pmin solve the problem. > df=data.frame(X=1:10, Y=1:10) > transform(df, Z=min(X,10-Y)) X Y Z 1 1 1 0 2 2 2 0 3 3 3 0 4 4 4 0 5 5 5 0 6 6 6 0 7 7 7 0 8 8 8 0 9 9 9 0 10 10 10 0 I try to look at the source code to understand what transform() does. I know

Hello, With the same basic configs as in my previous messages, I tried with the maildir format instead of the mbox format. That is, in both cases ("virtual" uids/gids vs a single "real" uid/gid), doveconf -n shows: mail_location = maildir:~/maildir instead of: mail_location = mbox:~/mboxes:INBOX=~/mboxes/inbox Here too, with "virtual" uids/gids, connections thru

Dear r-devel, See below: transform(data.frame(a = 1), 2, 3) #> a #> 1 1 transform(data.frame(a = 1), b=2, 3) #> a b X3 #> 1 1 2 3 We need a small modification to make it work consistently, see below: transform.data.frame <- function (`_data`, ...) { e <- eval(substitute(list(...)), `_data`, parent.frame()) tags <- names(e) ## NEW LINE

Author: Darren Moffat <Darren.Moffat at Sun.COM> Repository: /hg/zfs-crypto/gate Latest revision: 957d30a3607ed9f3cbe490da5894d1e1b2104033 Total changesets: 28 Log message: resync onnv_105 partial for 6713916 Files: usr/src/Makefile.lint usr/src/Targetdirs usr/src/cmd/Makefile usr/src/cmd/Makefile.cmd usr/src/cmd/acctadm/Makefile usr/src/cmd/acctadm/acctadm.xcl

I can not tell from the docs or from the mailing list what is the state of timezone support in the iCalendar package? If I want to parse an iCalendar file that has non utc dstarts and dends will it convert those times to UTC or otherwise allow me to do that? When I tried to parse an iCalendar input file started off with something like this: BEGIN:VCALENDAR METHOD:REQUEST

So has anyone had any success implementing recurring BYWEEKNO? ?????????????????????????????? Robert J. Berger - Internet Bandwidth Development, LLC. Voice: 408-838-8896 eFax: +1-408-490-2868 http://www.ibd.com