similar to: [LLVMdev] [CFA] Target Specific Tests

Hi Renato, > Would be good to have some buildbots doing cross-compilation for each of our > targets, That would certainly be good. > but also those interested on their tests passing (Clang, Debug > info, MCJIT folks, etc) should also probably run them locally on their > machines and try to move their tests to the best category they think it > makes sense. I'm assuming you

Op di 3 sep. 2019 om 18:36 schreef Finkel, Hal J. via llvm-dev < llvm-dev at lists.llvm.org>: > On 9/3/19 7:19 AM, Sam Elliott wrote: > > There are 1500 tests total, and about 100 on the platform-agnostic > blacklist. Alex and I do not think this is an onerous burden for > maintenance, either as an external test suite or if the test suite is > imported. > > > >

Dear R-List, (I am not sure whether this list is the right place for my question...) I have a dataframe df.cfa

There are 1500 tests total, and about 100 on the platform-agnostic blacklist. Alex and I do not think this is an onerous burden for maintenance, either as an external test suite or if the test suite is imported. In the long term, if we import the tests, we know we will have to do updates when the Embecosm work lands, and beyond that updates can be more sporadic. It’s not clear to me how much

I have friendship data which is strong skewed. So it doesn't make sense to use maximum likelihood methods for fa and cfa. But I couldn't find any function for asymptotically distributed data for doing a factor analysis. Only: apca() but there is no possibility to allow for factor correlations. The same problem is with sem() I couldn't get any solutions for my model because of the

Hello, I am trying to do a multiple groups CFA in lavaan and I get the following error message: Error in cov(data.obs, use = "pairwise") : 'x' is empty I'm not sure what this message is referring to, can anyone help me? Thanks -- View this message in context: http://r.789695.n4.nabble.com/Multiple-Groups-CFA-in-Lavaan-tp3457971p3457971.html Sent from the R help mailing

Bill, > The reason for it: when going to calculate the CFA in LLVM, the > original code was adding an offset of type i32 to a pointer. This is > fine if pointers are 32-bits, but we get an assert if the types are > different. By converting the cfa_offset to a pointer, we get it to be > that size. Please ignore my prev. e-mail. The code breaks at least 32-bit stuff. The arg of

David, I guess I'm a little confused here. Are you asking me to provide a "pencil copy" of an LOA for your review? I don't understand why you need an LOA from us. We need an LOA from you to order circuits that will be billed to us that will be attached to your CFA. It was also my understanding that you had an LOA ready to be given to us, which had already been reviewed by

I performed a CFA using the lavaan package require('lavaan'); HS.model <- 'external_regulation_soc =~ JOBMOTIVATIE_extsoc1 + JOBMOTIVATIE_extsoc2 + JOBMOTIVATIE_extsoc3 external_regulation_mat =~ JOBMOTIVATIE_extmat1 + JOBMOTIVATIE_extmat2 + JOBMOTIVATIE_extmat3 introjected_regulation =~ JOBMOTIVATIE_introj1 +

Hello, Bill > The reason for it: when going to calculate the CFA in LLVM, the > original code was adding an offset of type i32 to a pointer. This is > fine if pointers are 32-bits, but we get an assert if the types are > different. By converting the cfa_offset to a pointer, we get it to be > that size. How do you like the one attached? It seems to be much more clear to fix codegen

Hi all, Here's a potential patch for LLVM-GCC: Index: llvm-convert.cpp =================================================================== --- llvm-convert.cpp (revision 41260) +++ llvm-convert.cpp (working copy) @@ -4240,11 +4240,12 @@ return false; int cfa_offset = ARG_POINTER_CFA_OFFSET(0); - - Result = Builder.CreateCall(Intrinsic::getDeclaration(TheModule, -

Bill, > The built-in dwarf_cfa doesn't take an argument. It returns a pointer. Ah. Sorry for confusion: gcc's __builtin_draft_cfa doesn't have any argument LLVM's eh_dwarf_cfa intrinsic has extra "offset" argument, which is i32, because we have to propagate some information from GCC to LLVM. > But there's an offset associated with the CFA. So it looks like

Hi, I am not sure if R-help is the right forum for my question. If not, please let me know. I have to do some discriminant validity tests with some constructs. I am using the method of doing a CFA constraining the correlation of a pair of the constructs to 1 and comparing the chi-square of this constrained model to the unconstrained model. If the chi-square difference is not significant, then I

I've had umpteen IPs knocking on this door yesterday. The router blocked them, so it's not a problem, but why that port? Anne -- New to KDE4? - get help from http://userbase.kde.org Just found a cool new feature? Add it to UserBase -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 197 bytes Desc:

Hi Sorry for the rather long message. I am trying to use the cfa command in the lavaan package to run a CFA however I am unsure over a couple of issues. I have @25 dichotomous variables, 300 observations and an EFA on a training dataset suggests a 3 factor model. After defining the model I use the command fit.dat <- cfa(model.1, data=my.dat, std.lv = T, estimator="WLSMV",

Dear all, I am trying to learn about R. As a Phd student, I would like to use R for Krippendorff s alpha and later for a series of CFA. Is there any good introduction to these kind of analyses, or could you recommend me some tutorials on youtube, for example? I am new to R, so I need something basic , starting from opening the R environment?. Thank you . Martina Hulesova Odesl?no z m?ho Windows

My wife bought a new Thinkpad, on which we had the shop install CentOS 7 (I *think* it's 7.3.) Alas!, I didn't think to specify NOT Gnome, in thunder. So of course I got it. I've tried several times to force myself to accommodate Gnome3, always with no joy. How do I get Mate or Xfce instead? Related problem: when I become root and tell it "yum update," it figures out

I've just found the lavaan package, and I really appreciate it, as it seems to succeed with models that were failing in sem::sem. I need some clarification, however, in the output, and I was hoping the list could help me. I'll go with the standard example from the help documentation, as my problem is much larger but no more complicated than that. My question is, why is there one latent

I'm using specify.model for the sem package. I can't figure out how to represent the residual errors for the observed variables for a CFA model. (Once I get this working I need to add some further constraints.) Here is what I've tried: model.sa <- specify.model() F1 -> X1,l11, NA F1 -> X2,l21, NA F1 -> X3,l31, NA F1 -> X4,l41, NA F1 -> X5, NA, 0.20

On 15 Apr 2014, at 13:14 , Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 14/04/2014, 10:23 AM, Marc Schwartz wrote: >> Hi Martin, >> >> Thanks for your confirmation on this. >> >> I normally do not use R CMD Sweave, as I too run under ESS in normal day to day operations. This finding was a quirk of having a particular Rnw document that I