similar to: Problems with calloc function.

R-help - I have this set of aggregated tables (sample data below via dput()). And I would like to have delayValue as the column variables with the "temp" (temp1, temp2, temp3) values as the row variables. However I would like to have the temp variables *aggregated into single rows* so that I have the frequency ("Freq" | counts) of each time each "delayValue" occurs

This is a rather interesting, but I don't think it is a bug - it is just things that "you are not supposed to do"... you are assuming a certain evaluation order of the 4 "$" operators in " D$ABC[D$M] = D$V[D$M] " as in: temp1 <- D$M # 2nd and 4th temp2 <- D$V[temp1] # 3rd D$ABC[temp1] = temp2 # 1st What R did was this:

Hello all, I am trying to understand how to specify nested factors when using coxph(), and if it is appropriate to nest these factors in my situation. In the simplest form, I am testing two different temperatures, with each temperature being performed twice in different experimental periods (e.g. Temp5 performed in Period A and C, Temp4 performed in Period B and D) I am trying to see if survival

Hello, First the version info: platform powerpc-apple-darwin8.6.0 arch powerpc os darwin8.6.0 system powerpc, darwin8.6.0 status major 2 minor 3.1 year 2006 month 06 day 01 svn rev 38247 language R version.string Version 2.3.1 (2006-06-01) I have encountered some unusual behavior when trying to

Hi LLVM-ers, I try to develop my custom dynamic data dependence tool (focusing on nested loops), currently I can successfully get the trace including load/store address, loop information, etc. However, when I try to analyze dynamic data dependence based on the pairwise method described in [1], the load/store for iteration variables may interfere my analysis (I only care about the load/store for

Hi R experts, I'm attempting to run Linear Discriminant Analysis using the lda function in the MASS package. I've got around 50 predictor variables and one response variable. My response variable has 5 numeric categories that represent different clusters of fish abundance data (clusters were developed using Bray-Curtis and NMDS), and my predictor variables are environmental variables that

Dear Dibyendu, Thanks for your response. :-) > If you are looking for only dependences which are inter-iteration (dependence distance != 0 ) you can do a post-pass on the ld/st addresses collected Yes, I am more interested in inter-iteration dependence. Could you provide more information or some links on post-pass approach? I have no idea on your method. :-) > eliminate such

Dear Dibyendu and Mobi, Thanks for your help! :-) I finally figure it out. The solution is really simple. I just need to generate a new bitcode file with the following command: ----- opt -mem2reg -indvars test1.bc -o test2.bc ----- Then the load/store for induction variables will be removed and replaced by PHI instructions and all remaining load/store instructions are those I am interested in. I

I'm wondering if anyone has written some functions or code for handling very large files in R. I am working with a data file that is 41 variables times who knows how many observations making up 27MB altogether. The sort of thing that I am thinking of having R do is - count the number of lines in a file - form a data frame by selecting all cases whose line numbers are in a supplied vector

This message is in MIME format. --=_6vx1wr5xhvr4 Content-Type: text/plain; charset=ISO-8859-1; DelSp="Yes"; format="flowed" Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Dear R Core Team, Help to 'read.table' claims that 'read.csv' is identical to 'read.table' except for the defaults. However, 'read.table' seems

I'm running R 2.10.0 under Mac OS X 10.5.8; however, I don't think this is a Mac-specific problem. I have a very large (158,908 possible sentences, ca. 58 MB) plain text document d which I am trying to tokenize: t <- strapply(d, "\\w+", perl = T). I am encountering the following error: Error in base::gsub(pattern, rs, x, ...) : Calloc could not allocate (-1398215180 of

Hi Rich, There's an unchecked calloc in hivex.c's hive_open: h->bitmap = calloc (1 + h->size / 32, 1); ... This subsequent deref could cause a segfault: BITMAP_SET (h->bitmap, blkoff);

Small optimization, and eases the code. --- daemon/btrfs.c | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/daemon/btrfs.c b/daemon/btrfs.c index f02acb1..7b14bac 100644 --- a/daemon/btrfs.c +++ b/daemon/btrfs.c @@ -1723,12 +1723,11 @@ do_btrfs_balance_status (const char *path) nlines = count_strings (lines); - ret = malloc(sizeof *ret); + ret = calloc (1,

commit 3f4ba2e98d21746723d291939ccc2e1f1526aa6d left some error messages unchanged. Signed-off-by: Chen Hanxiao <chenhanxiao@cn.fujitsu.com> --- daemon/btrfs.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/daemon/btrfs.c b/daemon/btrfs.c index 7b14bac..e8059db 100644 --- a/daemon/btrfs.c +++ b/daemon/btrfs.c @@ -479,7 +479,7 @@ do_btrfs_subvolume_list (const

On Wednesday 17 June 2015 10:44:09 Chen Hanxiao wrote: > commit 3f4ba2e98d21746723d291939ccc2e1f1526aa6d > left some error messages unchanged. That commit was about converting a couple of malloc+memset to calloc, not about replacing messages in other parts. Hence, this note is wrong. > > Signed-off-by: Chen Hanxiao <chenhanxiao@cn.fujitsu.com> > --- > daemon/btrfs.c | 4

Hi, I have issue with Calloc : at the compilation step, gcc tells "error : syntax error before ')' token". When I use the classical C calloc... free, everything's fine. Here's the part of code : a = (double*) Calloc(*n,sizeof(double)); when i remove this line or replace it with the calloc, it's ok Hint : In the header file R.h, there's a line : /* for PROBLEM

I'm trying to load Affy Annotation data from an Access database into R using RODBC. This has worked fine for quite some time. The bug seems to be correlated to RODBC versions 1.1-7 and later. Works fine: R 2.2.0 with RODBC 1.1-4; R 2.3.0 or R 2.4.1 with RODBC 1.1-6 Fails: R 2.3.1 with RDOBC 1.1-7; R 2.4.1 with RODC 1.1-7 or 1.1-8 Details ===== This works fine: Version 2.2.0

Hi, it looks like a few users of calloc had their arguments backwards. I checked the other users and they seem fine. Since one of those is in ioemu code, does that mean we (I?) will be submitting that bug to qemu upstream? -- Hollis Blanchard IBM Linux Technology Center Fix swapped calloc() arguments. Signed-off-by: Hollis Blanchard <hollisb@us.ibm.com> diff -r c4eead8a925b

Dear list, I have a question about the interaction between R code and Latex language trough the Sweave function in the package "utils". What I'm trying to do is to write a report. Contrary to the examples shown in the Sweave Manual in which table already constructed by R are "exported" on Latex files, what I would like to do is to build a table in which I combine text and

[sending this to R-devel, since it may be of general interest and could possibly lead to better instructions in the "R-exts" manual] Is this another case where only .Call() or .External() [or a fudge factor] solve my problem? Following situation: I use dyn.loaded C code to compute a recursive tree structure from my data. Beforehand I don't know how big the tree will