similar to: matrix pakcage

Hello. I am having trouble downloading the lme4 package from the CRAN site. The error is: > local({a <- CRAN.packages() + install.packages(select.list(a[,1],,TRUE), .libPaths()[1], available=a, dependencies=TRUE)}) trying URL `http://cran.r-project.org/bin/windows/contrib/2.0/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 26129 bytes opened URL downloaded 25Kb

My wife and I have been working on our own task-listing, time-tracking web application, and we''re really interested in some feedback as we ourselves feel we''ve come a long way. If you have some minutes to kill (or just want to see how the Comet functionality provided by the Juggernaut plugin can work) have a look at http://www.clockingit.com and

Hello All, I have a technical difficulty installing RMySQL. I am running openSUSE11.1 and R 2.12 I have installed MySQL from the website. and following installation , as root This is the part where trouble begin, ...... checking mysql.h usability... no checking mysql.h presence... no checking for mysql.h... no checking for mysql_init in -lmysqlclient... no checking for mysql_init in

Hi. I have tried to use Package "SEM". As a learning, I try to convert a program running well of EQS which is as follows to SEM: ### EQS ### /SPECIFICATION CAS=100; VAR=5 MAT=COR; ANA=COR; /EQUATIONS V1=*F1+E1; V2=*F1+E2; V3=*F1+*F2+E3; V4=**F1+*F2*E4; V5=*F2+E5; /VAR E1 TO E5=*; F1*1.0; F2=1.0; /COV E1,E2=*; F1,F2=*: /PRINT FIT ALL; /MATRIX ...... /END This is the converted SEM

Hi there, I am using SAS Proc NLMIXED to maximize a likelihood with multivariate normal random effects. An example is the two part random effects model for repeated measures semi-continous data with a cluster at 0. I use the "model y ~ general(loglike)" statement in Proc NLMIXED, so I can specify a general log likelihood function constructed by SAS programming statements. Then the

Dear Madam or Sir I am writing you hoping, that you can help me with a problem concerning the output of regressions done with the function lme in R. I would need the standard deviations for intercepts and predictors, but in the output I can only find those for the intercepts. Could it be, that this is my fault? (I am just a beginner with R and multilevel modeling). I am sorry to annoy you with

> library(MASS) > attach(bacteria) > table(y) y n y 43 177 > y<-1*(y=="y") > table(y,trt) trt y placebo drug drug+ 0 12 18 13 1 84 44 49 > library(lme4) > model1<-lmer(y~trt+(week|ID),family=binomial,method="PQL") Error in match.arg(method, c("Laplace", "AGQ")) : 'arg' should be one of

Hi Andrew, I seem to be making good progress on the P5600 scheduler using the new machine model but I've got a few questions about it. How would you represent an instruction that splits into two micro-ops and is dispatched to two different reservation stations? For example, I have two reservation stations (AGQ and FPQ). An FPU load instruction is split into a load micro-op which is

Hi folks I'm new to this list, fresh into linux and samba. Simply love it :-) I have a customer that have about 10 XP pro machines connected to a linux samba server. Since there are a quite few documents that only two of the users are going to see, I use groups and different shares. This setup have been working for a while. Today everyone got access to everything - not good. Actualy very

From: Andrew Trick [mailto:atrick at apple.com] Sent: 24 January 2014 21:52 To: Daniel Sanders Cc: LLVM Developers Mailing List (llvmdev at cs.uiuc.edu) Subject: Re: New machine model questions On Jan 24, 2014, at 2:21 AM, Daniel Sanders <Daniel.Sanders at imgtec.com<mailto:Daniel.Sanders at imgtec.com>> wrote: Hi Andrew, I seem to be making good progress on the P5600 scheduler

Dear R users, I've been struggling with the following problem: I want to extract the Wald p-value from an lmer() fit, i.e., consider library(lme4) n <- 120 x1 <- runif(n, -4, 4) x2 <- sample(0:1, n, TRUE) z <- rnorm(n) id <- 1:n N <- sample(20:200, n, TRUE) y <- rbinom(n, N, plogis(0.1 + 0.2 * x1 - 0.5 * x2 + 1.5 * z)) m1 <- lmer(cbind(y, N - y) ~ x1 + x2 + (1 | id),

I'm getting the following error in a script: "Error: could not find function "lmer."??? I'm wondering of my lme4 package is installed incorrectly.? Can someone tell me the installation procedure?? I looked at the support docs but couldn't translate that into anything that would work.

JumpMap lowering is nearly identical to that of JumpTables with the exception of lack of range-check basic-block. We introduce JumpMapInfo structure which follows the same flow as JumpTableInfo and is finally emitted by AsmPrinter. There are many ways a Target may want to encode jumpmaps (deltas, compression, relative vs absolute), so we plan to keep this flexible and target-driven when

I wonder if it would make sense to emit the jumpmap_find_ functions in IR rather than in compiler-rt. Many targets don't link against compiler-rt, e.g. x86 Linux typically uses libgcc. If they're emitted in IR, the functions could potentially be inlined. For example if the size of the switch is known to be small so no binary search is done, could inlining the find_ function be smaller

Hi all, I have a problem with extracting the right error terms from an lme-object. The fixed part of the model is quite simple (y~x1*x2, where x1 and x2 are factor variables with two levels), with random intercepts (random=~1|group). As I work with factor variables here, I would like to display this with a barplot (or something like that), with error bars representing the sem or sd of the mean

Hi -- I'm using lmer for binomial data. I am trying to replicate estimates provided by Agresti (2002, Categorical data analysis, Wiley) using abortion data in table 10.13 (estimates provided in table 12.3 p. 505). I fit the same model using these three commands: a1 <- lmer(resp ~ sex + option1 + option2 + (1|id), data=abort,family=binomial, method = c("AGQ")) a2 <-

Hi All, To clerify the problem, firstly I have to give you some details of our environment.. Linux Redhat 7.3, Samba 2.2.4, Win2000 workstations... We are trying to use Linux servers as file and print servers. Our client are Windows2000 workstations which will use Linux boxes as file and print servers... Problem with : winbindd Signal 11 error Suspect : When winbind starts, it can get all

Hi Folks, I think I have searched exhaustively, including, of course R-help (D. Bates, S. Graves, and others) and but I remain uncertain about testing fixed effects with lmer(..., family=binomial). I gather that mcmcsamp does not work with Do we rely exclusively on z values of model parameters, or could we use anova() with likelihood ratios, AIC and BIC, with (or without)

Hi All, This is our first appearance on llvm-dev so a small introduction is in order. We are a team of two working for good few years now on an out-of-tree embedded back-end. Our primary goal is code size, secondary performance. We've recently implemented an optimization that we believe others could use. It's about time to contribute back.

Hi all, Does anybody know any function that performs gaussian adapative quadrature integration of univariate functions? Thanks in advance, Regards, Caio __________________________________________________ [[alternative HTML version deleted]]