similar to: 'Apply' giving me errors

Displaying 20 results from an estimated 100 matches similar to: "'Apply' giving me errors"

2011 Mar 30
2
[PATCH] xenstore-stat v2
The entries in xenstore have permission attributes. The attributes can be easily altered by xenstore-chmod, however, I cannot find a easy way to see them. I''ve modified xenstore_client.c to raise a new utility. The utility checks the permission and makes an easy-look output. Please tell me any suggestions. Thanks. Signed-off-by: Frank Pan <frankpzh@gmail.com> ---
2002 Jun 25
4
PAM kbd-int with privsep
The following is a patch (based on FreeBSD code) which gets kbd-int working with privsep. It moves the kbd-int PAM conversation to a child process and communicates with it over a socket. The patch has a limitation: it does not handle multiple prompts - I have no idea how common these are in real-life. Furthermore it is not well tested at all (despite my many requests on openssh-unix-dev@). -d
1999 Mar 07
1
ANOVA f-test
I have a rather basic question. How can I get R to generate a ANOVA table and a f-value for a hypothesis test such as: Data: group1 values: 5.2 4.5 6.0 6.1 6.7 5.8 group2 values: 6.5 8.0 6.1 7.5 5.9 5.6 ... H0: mean1 = mean2 = mean3 = mean4 HA: at least two means different where I want to evaluate using a f test statistic? F = MSTr/MSE I'd like a table similar to one that
2013 Mar 29
3
if clause in data frame
Hi, final<-data.frame() ?? for (m1 in 4:10) { ?????? for (n1 in 4:10){? ?????????? for (x1 in 0: m1) { ????????????? for (y1 in 0: n1) { final<- rbind(final,c(m1,n1,x1,y1)) res}}}} ?final1<-within(final,{flag<-ifelse(x1/m1>y1/n1, 1,0)}) ?head(final1) #? m1 n1 x1 y1 flag #1? 4? 4? 0? 0??? 0 #2? 4? 4? 0? 1??? 0 #3? 4? 4? 0? 2??? 0 #4? 4? 4? 0? 3??? 0 #5? 4? 4? 0? 4??? 0 #6? 4? 4?
2008 Oct 17
2
Sendmail and deliver LDA exits with EX_TEMPFAIL on overquota
Hi all, I have setup dovecot 1.1.4 and sendmail 8.14.3 with dovecot LDA on linux (RHEL5 on x86_64). I have deliberately set a very low quota (4MB) on a test account, while the actual disk usage is 5MB at the moment, in order to test overquota behaviour.. When I send an email to this account, sendmail accepts the email and tries to deliver it. Deliver fails to save in INBOX and returns an
2012 Dec 02
0
help setting up crossed data
Hello, and thanks for your time reading this. I'm trying to test interactions of my dataset, in which the all of the factors are within the same column. Type Vol 1 CMass -4.598 2 BBack -4.605 3 BMass -4.602 4 CMass -4.601 5 CBack -4.605 6 CMass -4.604 7 CMass -4.602 8 CMass -4.604 9 CBack -4.605 10 BBack -4.503 11 CMass -4.605 Im attempting to determine the interaction effects of B or C
2012 Apr 04
3
Remove carriage return in writing tab-delimited file.
Having problems with the write.table function. I can write a tab delimited file just fine, but for each line in my matrix its inputs a carriage return when i dont want it to. For example my matrix might be: ID V1 V2 V3 FARY1004 1 2 3 FARY2067 2 3 1 FARY4587 2 2 2 And I want the written File to be: FARY1004 1 2 3FARY2067 2 3 1FARY4587 2 2 2 TIA -- View this
2008 Jan 06
0
[LLVMdev] Another memory fun
Zalunin Pavel wrote: > hm.... I think, that is valid in c [snip] > I tried decompile code: > main(int argc, char **argv) { > char str1[] = "mother "; > strcat(str1, "father"); > return 0; > } > This is valid C but you forget that str1 is not magically expanded by strcat. It starts out as, and remains a char array with 8 elements. >
2011 Nov 11
3
Combining Overlapping Data
I've scoured the archives but have found no concrete answer to my question. Problem: Two data sets 1st data set(x) = 20,000 rows 2nd data set(y) = 5,000 rows Both have the same column names, the column of interest to me is a variable called strain. For example, a strain named "Chab1405" appears in x 150 times and in y 25 times... strain "Chab1999" only appears 200
2010 Oct 21
4
Efficient nested loops
Dear R community, I am working with huge arrays, so I spend a lot of time computing. This is my code: for (x in 1:dim(variable)[1]){ for (y in 1:dim(variable)[2]){ for (z in 1:dim(variable)[3]){ result <- max(variable[x,y,z,]) } } } Is there a more efficient procedure to do this task? Thanks in advance! [[alternative HTML version deleted]]
2008 Jan 06
4
[LLVMdev] Another memory fun
hm.... I think, that is valid in c but next code too doesn't works right: ; ModuleID = 'sample.lz' @.str1 = internal global [6 x i8] c"world\00" ; <[6 x i8]*> [#uses=1] @.str2 = internal global [7 x i8] c"hello \00" ; <[7 x i8]*> [#uses=1] @.str7 = internal global [7 x i8] c"father\00" ; <[7 x i8]*> [#uses=1]
2013 Apr 03
1
linear model coefficients by year and industry, fitted values, residuals, panel data
Hi R-helpers, My real data is a panel (unbalanced and with gaps in years) of thousands of firms, by year and industry, and with financial information (variables X, Y, Z, for example), the number of firms by year and industry is not always equal, the number of years by industry is not always equal. #reproducible example firm1<-sort(rep(1:10,5),decreasing=F) year1<-rep(2000:2004,10)
2013 Jun 07
4
matched samples, dataframe, panel data
I R-helpers #I have a data panel of thousands of firms, by year and industry and #one dummy variable that separates the firms in two categories: 1 if the firm have an auditor; 0 if not #and another variable the represents the firm dimension (total assets in thousand of euros) #I need to create two separated samples with the same number os firms where #one firm in the first have a corresponding
2002 Apr 26
0
PAM keyboard-interactive
The following patch (relative to -current) makes PAM a proper kbd-interactive citizen. There are a few limitations (grep for todo), but the code seems to work OK for protocols 1 & 2 with and without privsep. Please have a play! auth2-pam.c is based on code from FreeBSD. Index: auth2-chall.c =================================================================== RCS file:
2017 Jul 31
1
[RFC] Profile guided section layout
Michael Spencer via llvm-dev <llvm-dev at lists.llvm.org> writes: > I've recently implemented profile guided section layout in llvm + lld using > the Call-Chain Clustering (C³) heuristic from > https://research.fb.com/wp-content/uploads/2017/01/cgo2017-hfsort-final1.pdf > . In the programs I've tested it on I've gotten from 0% to 5% performance > improvement over
2006 Apr 26
1
RE nut 2.0 fentonups and Xanto S3000R
Hi Henning, you should get in touch with Carlos, who his developing a generic megatec driver (available from svn: http://eu1.networkupstools.org/source.html) Arnaud -- Linux / Unix Expert - MGE UPS SYSTEMS - R&D Dpt Network UPS Tools (NUT) Project Leader - http://www.networkupstools.org/ Debian Developer - http://people.debian.org/~aquette/ OpenSource Developer -
2002 Jul 02
3
New PAM kbd-int diff
Below is a new PAM kbd-int diff based on FreeBSD's code. This code makes PAM kbd-int work with privilege separation. Contrary to what I have previously stated - it *does* handle multiple prompts. What it does not handle is multiple passes through the PAM conversation function, which would be required for expired password changing. I would really appreciate some additional eyes over the
2007 Mar 19
3
cmd.exe behaviour
When I execute the following command from a wine cmd.exe and the file xxx exists, c:\windows\system32\cmd.exe /c copy h:xx h:xxx Overwrite file (Y/N) How do I over ride the behavior of asking for a y/n. Thanks chip
2011 Oct 25
1
Unlist alternatives?
dfhfsdhf at ghghgr.com I ran a simple lme model: modelrandom=lmer(y~ (1|Test) + (1|strain), data=tempsub) Extracted the BLUPs: blups=ranef(modelrandom)[1] Even wrote myself a nice .csv file....: write.csv(ranef(modelrandom)[1],paste(x,"BLUPs.CSV")) This all works great. I end up with a .csv file with the names of my strains in the first column and the BLUP in the second
2017 Jun 15
7
[RFC] Profile guided section layout
I've recently implemented profile guided section layout in llvm + lld using the Call-Chain Clustering (C³) heuristic from https://research.fb.com/wp-content/uploads/2017/01/cgo2017-hfsort-final1.pdf . In the programs I've tested it on I've gotten from 0% to 5% performance improvement over standard PGO with zero cases of slowdowns and up to 15% reduction in ITLB misses. There are