similar to: Help with confidence intervals for gam model using mgcv

Dear colleagues, I would be very grateful for your help with the following. I have banged my head off this question several times in the past, and repeatedly over the last week. I have looked in the usual places and found no obvious solution. I fear that this just means I didn't recognize it, but I'd be very grateful for your help. I am scoring 8000 psychometric tests - the SCQ, if

Installing rJava fails consistently, whether installed via the command line as below, or through "install.packages( 'rJava' )", and whether 0.84 or 0.85 is used, with the message :- "checking JNI data types... configure: error: One or more JNI types differ from the corresponding native type. You may need to use non-standard compiler flags or a different compiler in order to

Deepayan Sarkar and I have a source package of release candidate 1 of the 0.6 series of the lme4 package available at http://www.stat.wisc.edu/~bates/lme4_0.6-0-1.tar.gz This package requires Matrix_0.8-6 which has been uploaded to CRAN and should be available in a few days. A copy of the source package is available as http://www.stat.wisc.edu/~bates/Matrix_0.8-6.tar.gz

Deepayan Sarkar and I have a source package of release candidate 1 of the 0.6 series of the lme4 package available at http://www.stat.wisc.edu/~bates/lme4_0.6-0-1.tar.gz This package requires Matrix_0.8-6 which has been uploaded to CRAN and should be available in a few days. A copy of the source package is available as http://www.stat.wisc.edu/~bates/Matrix_0.8-6.tar.gz

This patch (and the others that will follow) are rebased on svn r155440: "AVX2: The BLENDPW instruction selects between vectors of v16i16 using an i8 immediate. We can't use it here because the shuffle code does not check that the lower part of the word is identical to the upper part" Patch 1/3: The attached commits add a new calling convention to support the LLVM backend for

On 04/24/12 17:10, Yiannis Tsiouris wrote: > This patch (and the others that will follow) are rebased on svn r155440: > > "AVX2: The BLENDPW instruction selects between vectors of v16i16 using an i8 > immediate. We can't use it here because the shuffle code does not check that > the lower part of the word is identical to the upper part" > > Patch 1/3: >

Hi Kostis, Just to check, did you send the patch originally to llvmdev or llvm-commits? The latter is where all commit review takes place. Cheers, James -----Original Message----- From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Kostis Sagonas Sent: 02 May 2012 13:16 To: llvmdev at cs.uiuc.edu Cc: erllvm at softlab.ntua.gr Subject: Re: [LLVMdev] RFC:

Hi all I saw presentation http://www.softlab.ntua.gr/~gtsiour/files/erllvm_pres-20111107.pdf and I have couple question to the HiPE calling convention. I am trying to enable HiPE call for Rust compiler. That presentation mentioned that: Virtual registers with “special” use, pinned to hardware registers (unallocatable). VM Register AMD64 Register Native stack pointer %nsp Heap

Hi, We 've been working on an LLVM backend for High Performance Erlang (HiPE) [1], the native code compiler of Erlang/OTP [2]. ErLLVM [3] targets the X86 and AMD64 architectures for now but there is some ongoing work from a team on the Uppsala University to also support ARM. In our implementation, we have paid special attention on retaining ABI-compatibility with the Erlang Runtime System in

Hi, Following Chris' advice, I will rebase the patches and break them in 3 distinct emails (one at a time) in order to be easier for a reviewer to approve/comments. Please note that the three patches while being code-wise independent, they 're strongly-connected *semantically*, meaning that including just a subset of these patches to LLVM's code base is quite weak if the others are

Dear R users, Overdispersion is often a problem in binomial data. I attempt to model a binary response (sex-ratio) with three categorical explanatory variables, using GLM, which could assume the form: y<-cbind(sexf, sample-sexf) model<-glm(y ~ age+month+year, binomial) summary(model) Output: (Dispersion parameter for binomial family taken to be 1) Null deviance: 8956.7 on 582

Hi, I'm analysing some anthropometric data on fifty odd skull bases. We know the gender of each skull, and we are trying to develop a predictor to identify the sex of unknown skulls. Rpart with cross-validation produces two models - one of which predicts gender for Males well, and Females poorly, and the other does the opposite (Females well, and Males poorly). In both cases the error

Hi, I have a valid SPSS .sav file (which I can open happily in SPSS v11 on Windows XP). Opening it in R2.41 on Linux we get this message :- > HSE3023 <- read.spss("HSE.sav") Error in read.spss("HSE.sav") : error reading system-file header In addition: Warning message: HSE.sav: Variable X234 indicates variable label of invalid length 256 Now variable X234 has indeed a

Hi, I think I'm missing something very obvious, but I am missing it, so I would be very grateful for help. I'm using rpart to analyse data on skull base morphology, essentially predicting sex from one or several skull base measurements. The sex of the people whose skulls are being studied is known, and lives as a factor (M,F) in the data. I want to get back predictions of gender, and

> On Sep 29, 2017, at 4:12 AM, denisgolovan via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hi all > > I saw presentation http://www.softlab.ntua.gr/~gtsiour/files/erllvm_pres-20111107.pdf > and I have couple question to the HiPE calling convention. I am trying to enable HiPE call for Rust compiler. > > That presentation mentioned that: > Virtual registers

Hi, As part of the analysis of a longitudinal study, I have a list, called wg, on R 1.3.1 for windows created as follows - wg <- by(xx, xx$mrn, function(xx) lm(xx$maternal.wt ~ xx$gestation, data=xx)) xx is a data.frame, and so wg contains the results of 293 linear regressions, as lm objects. Now what I want is to extract the 293 intercepts and regression coefficients as a vector, and

Hi, This code is trying to produce a series of graphics files, with plots of male and female disease rates by age, one plot per disease. The dataframe contains a variable 'Age' and a set of variables called 'Male_CVD, Female_CVD,Male_RTA,Female_RTA, and so on. For each disease, I want to pull out the column of data containing the word 'Male' and plot this against age, and then

Dear colleagues, This may be a question with a really obvious answer, but I can't find it. I have access to a large file with real medical record identifiers (mixed strings of characters and numbers) in it. These represent medical events for many thousands of people. It's important to be able to link events for the same people. It's much more important that the real record numbers

Dear colleagues, I have a problem which has bitten me occasionally. I often need to prepare graphs for many variables in a data set, but seldom for all. or for any large number of sequential or sequentially named variables. Often I need several graphs for different subsets of the dataset for a given variable. I run into similar problems with other needs besides graphing. What I would like to

ping. :-) On 09/07/2012 08:24 PM, Yiannis Tsiouris wrote: > [...] > The citation is the following (this time with a url to the paper): K. > Sagonas, C. Stavrakakis, and Y. Tsiouris. "ErLLVM: An LLVM backend > for Erlang"[1]. In Eleventh ACM SIGPLAN Erlang Workshop, September > 2012. ACM Press. > > [1]: http://erllvm.softlab.ntua.gr/files/erlang03-sagonas.pdf >