similar to: "eval" inside a function call in connection with updating the data slot in the call of lmer

Dear all, I have just sent an email with my problem, but I think no one can see the red part, beacuse it is black. So, i am writing again the codes: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N <- 200 I <- 5 taus <- c(0.480:0.520) h <-

Dear all, I am trying to run a loop in my codes, but the software returns an error: "subscript out of bounds" I dont understand exactly why this is happenning. My codes are the following: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N

I have ran across a case where the function isIdenticalTo is return true for instructions that are not equivalent. The instructions in question are load/store instructions, and is causing a problem with MachineBranchFolding. The problem is this, I have two branches of a switch statement that are identical, except for the size of the store. Here is some cut-down LLVM-IR to showcase the issue:

Dear All, I am analysing some data for a colleague (not my data, gotta be published so I cannot divulge). My response variable is the number of matings observed per day for some fruitlies. My factors are: Day: the observations were taken on 9 days Regime: 3 selection regimes Line: 3 replicates per selection regime. I have 81 observations in total The lines are coded A to I, so I do not need

On Jan 4, 2011, at 11:08 AM, Villmow, Micah wrote: > I have ran across a case where the function isIdenticalTo is return true for instructions that are not equivalent. The instructions in question are load/store instructions, and is causing a problem with MachineBranchFolding. The problem is this, I have two branches of a switch statement that are identical, except for the size of the store.

I am having trouble predicting new data with a model created from package mboost: > mb1<-glmboost(as.formula(formula1),data=data_train,control=boost_control(mstop=400,nu=.1)) > f.predict<-predict(mb1,newdata=data_train) Error in scale.default(X, center = cm, scale = FALSE) : length of 'center' must equal the number of columns of 'x' Ultimately I want to predict

Is there any way to get printf type functionality inside the kernel from dtrace probes. Basically I want to dump progress through flow in my device driver. Something like: DTRACE_PRINTF("Inside chip reset, mailboxes %x %x %x %x %x %x %x %x", mb1, mb2, .....); ... ... DTRACE_PRINTF("reset failed: reason %s", failure_reasons[err]); I may have several such probes and they may

Hi, I have just set up a new dovecot server with Dovecot 2.2.5. When I create a new user and try to authenticate I get the following error Sep 03 14:33:38 imap(test2): Error: user test2: Initialization failed: Initializing mail storage from mail_location setting failed: mkdir(/home/user/apps/var/mail/imap/test2/mailboxes) failed: Permission denied (euid=503(imapd) egid=503(imapd) missing +w

Hi, My MUA (claws-mail) is having a hard time listing directories for a mail account with two namespaces, one of which using mbox and the other one using maildir to store mails. Let's call the namespaces "#mbox." and "#maildir." and have "." as separator. Assume I have the following folder hierarchy: $namespace $namespace folder $namespace folder folder1a

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 WARNING: this is long. Sorry I couldn't find a way to compress it. Is there a reasonable way to design an update method so that it's robust to a variety of reasonable use cases of generating calls or data inside or outside a function? Is it even possible? Should I just tell users "don't do that"? * `update.default()` uses

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 15-03-23 12:55 PM, Thierry Onkelinx wrote: > Dear Ben, > > Last week I was struggling with incorporating lme4 into a package. > I traced the problem and made a reproducible example ( > https://github.com/ThierryO/testlme4). It looks very simular to > the problem you describe. > > The 'tests' directory contains

Hi! I recently setup a second with replication to the other. Both machines run ubuntu 12.04 with dovecot 2.2.13 (6bb26098a45c). All users mail accounts are currently synced manually to the first (mb1) using a dsync script, they are synchronised from a cyrus imap server. Users are still logging into the cyrus server. It appears that the only accounts that are replicated are ones who have

Hello, When using recover, the called from information is always "eval(expr, envir, enclos)", which is not particularly useful. > f <- function( ){ g <- function(){ stop( "ouch") }; g() } > options( error = recover ) > f() Error in g() : ouch Enter a frame number, or 0 to exit 1: f() 2: g() Selection: 1 Called from: eval(expr, envir, enclos) I'm

Buenas. El Paquete pdp es muy fácil de usar, pero cuando se lo aplico a mis datos me da: Error in eval(stats::getCall(object)$data) : object 'x.data' not found. Os copio abajo un ejemplo de aplicación a un RF. El mio es de un boosted regression trees (paquete gbm). No sé si esa puede ser la razón del error. En el paquete pdp no especifica que sea solo para RF, aunque en los

Dear all, I want to update an lm (or glm) object by changing the response variable and I want to do so inside a function. Doing the update outside of a function is straight forward: x <- 1:5 y <- c(1,2,3,3,6) mm <- lm(y~x) y2 <- c(1,3,3,4,6) mm2<- update(mm, y2 ~ .) But I want to make the update inside a function (where the new response variable is declared inside the

Hi everyone, I would like to implement an equivalent mechanism of function callbacks in the JIT, but for fields. Typically in Java, when you compile a method, there may be some instructions (getfield, putfield) that depend on a type which is not yet resolved. I think the best way to do this in LLVM is to add an intrinsic. The intrinsic would be only valid if we jit, and would be lowered only in

Nicholas, I guess you're trying to solve the fragile base-class problem by deferring field offset calculations until JIT compilation time? Perhaps I'm missing something, but can't you accomplish this by using external constants in the source program, to be supplied at JIT/link time? external constant i32 @obj.x.offs; external constant i32 @obj.y.offs; define

Hello, I'm attempting to build a package using R 2.15.0 on OS X I am getting a generic failure when performing a cran type check on the package. Even with a very simple test package, it still fails int he same place. Example: In R: rm(list=ls()) foo <- function(x){print(x)} package.skeleton(name="foo") Then, at the command line: R CMD build foo R CMD check --as-cran

Hi, since years I simply encoded my CDs using various tools to flac and simply listened to it and never had any problems. Today I wrote a little script though to add replaygain values to my music collection and I found out that a lot of my flac files are corrupt. The corruption almost always occurs in the last 10% like flac 1.2.1, Copyright (C) 2000,2001,2002,2003,2004,2005,2006,2007 Josh

Hi After a few days of very fine work, my dom0 went mad. (using xen-3.0.2) It''s ksoftirqd keeps 70% of cpu all the time. Is there anything I can do? Regards, Steffen begin 666 smime.p7s M,( &"2J&2(;W#0$''`J" ,( "`0$Q"S )!@4K#@,"&@4`,( &"2J&2(;W#0$'' M`0``H(())#""`JPP@@(5H ,"`0("`P]Z''3