search for: iid

...4f4b8) fixme:shell:DllGetClassObject failed for CLSID={a07034fd-6caa-4954-ac3f-97a27216f98a} (Query file associations) err:ole:CoCreateInstance apartment not initialised err:shell:SHCoCreateInstance failed (0x800401f0) to create CLSID:{a07034fd-6caa-4954-ac3f-97a27216f98a} (Query file associations) IID:{c46ca590-3c3f-11d2-bee6-0000f805ca57} (unknown) err:shell:SHCoCreateInstance class not found in registry fixme:shell:DllGetClassObject failed for CLSID={a07034fd-6caa-4954-ac3f-97a27216f98a} (Query file associations) err:ole:CoCreateInstance apartment not initialised err:shell:SHCoCreateInstance f...

Hi R, I want to conduct iid tests. So, I went to download 'iid.test' package. And the dependent package is 'ncdf', which is not available. So, how do I conduct the IID tests? Can I do these iid tests in Base R? Thanks in advance, Shubha This e-mail may contain confidential and/or privileged i...{{dropped...

...(0) == MVT::f32) { SDNode *Result = Emit_28(N, AMDIL::MACRO_FMA_f32, MVT::f32); return Result; } } However, when MACRO_FMA is called, Tmp0->getZExtValue() returns 102! The section of code where this is probably wrong is: CodeGenDAGPatterns.cpp:1238 unsigned IID = getDAGPatterns().getIntrinsicID(Operator)+1; Or here: CodeGenDAGPatterns.h:524 const CodeGenIntrinsic &getIntrinsicInfo(unsigned IID) const { assert(IID-1 < Intrinsics.size() && "Bad intrinsic ID!"); return Intrinsics[IID-1]; } These are the only locat...

...SDNode *Result = Emit_28(N, AMDIL::MACRO_FMA_f32, MVT::f32); > return Result; > } > } > > However, when MACRO_FMA is called, Tmp0->getZExtValue() returns 102! > > The section of code where this is probably wrong is: > CodeGenDAGPatterns.cpp:1238 unsigned IID = > getDAGPatterns().getIntrinsicID(Operator)+1; > Or here: > CodeGenDAGPatterns.h:524 > const CodeGenIntrinsic &getIntrinsicInfo(unsigned IID) const { > assert(IID-1 < Intrinsics.size() && "Bad intrinsic ID!"); > return Intrinsics[IID-1]; >...

I downloaded the iid.test, but I can't run it. I get the following message: Error: could not find function "iid.test" Where am I supposed to save this package in order that it works? Thanks, EZ [[alternative HTML version deleted]]

...Piepho and Ogutu 2002), to test for a trend over time, using multiple sites: y[ij]=mu+b[j]+a[i]+w[j]*(beta +t[i])+c[ij] where: y[ij]= a response variable at site i and year j mu = fixed intercept Beta=fixed slope w[j]=constant representing the jth year (covariate) b[j]=random effect of jth year, iid N(0,sigma2[b]) a[i]=random effect of the ith site, iid N(0, sigma2[a]) t[i]=random effect of ith site, iid N(0, sigma2[t]) c[ij]=random error associated with ith site and jth year I would like to assume that an unstructured relationship applies to a[i] and t[i] (i.e., I would like to assume that t...

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..._EnumDevices (0x403a0f9c)->(0x41c2f4,0x420516ac),stub! fixme:ddraw:Main_DirectDraw_SetCooperativeLevel (0x403a2a68)->(0000013c,00000011) fixme:ddraw:MESA_IDirect3D2Impl_CreateDevice (0x403a35a8)->(?31416d44-86ae-11d2-822d-a8d53187cafa?,0x403a3618,0x405c60f8): stub fixme:ddraw:is_OpenGL bad IID ?31416d44-86ae-11d2-822d-a8d53187cafa? and the app goes done i'm using Mandrake 7.2 with xfree86 4.1.0 and the nVidia drivers version 1.0-1251 any hints for what may be causing this ? All my other linux opengl apps work great (quake 3, ut, etc) thanks in advance

...8, 0.662995912)), .Names = c("stage", "site", "MH.Index"), class = "data.frame", row.names = c(NA, -136L)))) ########################################################## -- View this message in context: http://n4.nabble.com/bootstrap-confidence-intervals-non-iid-tp1751619p1751619.html Sent from the R help mailing list archive at Nabble.com.

...it is not present also)! A simple demo of what I'm seeing is given below. Comments appreciated? Thanks, Russell Millar Dept of Stat U. Auckland PS. I'm using the latest version of lme4 (0.999375-26) with R 2.7.2. > eta=rnorm(50) > p=exp(eta)/(1+exp(eta)) > y=rbinom(50,20,p)/20 #IID overdispersed binomial-normal proportions > #y=rbinom(50,20,0.5)/20 #IID binomial(20,0.5) > > Group=rep(c("A","B","C","D","E"),c(10,10,10,10,10)) > > #library(lme4) > > lmer(y~1+(1|Group),weights=rep(20,50),family="binomial...

...1 - hii)) } if (any(show[c(1,3)])) *************** *** 39,46 **** stop("`id.n' must be in {1,..,",n,"}") } if(id.n > 0) { ## label the largest residuals ! if(is.null(labels.id)) ! labels.id <- paste(1:n) iid <- 1:id.n show.r <- sort.list(abs(r), decreasing = TRUE)[iid] if(any(show[2:3])) --- 45,55 ---- stop("`id.n' must be in {1,..,",n,"}") } if(id.n > 0) { ## label the largest residuals ! if(is.null(labels.id)){ !...

Hi,everybody I have a dataframe like this FID IID STATUS 1 4621 live 1 4628 dead 2 4631 live 2 4632 live 2 4633 live 2 4634 live 6 4675 live 6 4679 dead 10 4716 dead 10 4719 live 10 4721 dead 11 4726 live 11 4728 nosperm 11 4730 nosperm 12 4732 live 17 478...

Dear All: I am trying to calculate four columns' means in a dataframe like this: FID MID IID EW_INCU EW_17.5 EMW EEratio 1 4621 TWF2H5 45.26 NA 15.61 NA 1 4621 TWF2H6 48.02 44.09 13.41 0.3041506 2 4630 TWF2H19 51.44 47.81 NA NA 2 4631 TWF2H21 NA 52.72 16.70...

...linux 64 machine on a server with R-2.12 (I can't update to 2.13). I am iterating through many linear mixed models for longitudinal data and I occasionally receive the following convergence error: > BI.lme <- lme(cd4 ~ time + genBI + genBI:time + C1 + C2 + C11 + C12, random =~ 1 + time | IID, data = d) Error in lme.formula(cd4 ~ time + genBI + genBI:time + PC1 + : nlminb problem, convergence error code = 1 message = false convergence (8) >From iteration to iteration, genBI is the only variable which changes and it is a numerical variable equal to 1, 2, or 3 for a given IID....

It looks like my CentOS 4.2 box is attacking other people with some type of ftp attack. I got an email from somebody saying they were being attacked by my IP address. Further investigation /var/log/messages shows a whole bunch of sshd attacks on me, none of which appear successful. I'm running ethereal right now and I can see that my system is doing some kind of ftp attacks on others.

...any way to fit a bivaraite longitudinal mixed model using R. I have a data set with col names resp1 (Y_ij1), resp2 (Y_ij2), timepts (t_ij), unit(i) j=1,2,..,m and i=1,2,..n. I want to fit the following two models Model 1 Y_ij1, Y_ij2 | U_i = u_i ~ N(alpha + u_i + beta1*t_ij, Sigma) U_i ~ iid N(0, sigu^2) Sigma = bivariate AR structure alpha and beta are vectors of order 2. Model 2 Y_ij, Y_ij2 | U_i = u_i ~ N(alpha + u_i + beta1*t_ij + U_i2*t_ij, Sigma) U_i=(U_i1,U_i2) ~ iid N(0, Omega) Sigma =bivariate AR structure Here alpha and beta are vectors of order 2. Moreover can we ass...

I need to calculate the probability that a sample quantile will exceed a threshold given the size of the iid sample and the parameters describing the distribution of each observation (normal, in my case). I can compute the probability with brute force simulation: simulate a size N sample, apply R's quantile() function on it, compare it to the threshold, replicate this MANY times, and count the number...

Hi, lme() users, Can some one tell me how to do this. I model Orthodont with the same G for random variables, but different R{i}'s for boys and girls, so that I can get sigma1_square_hat for boys and sigma2_square_hat for girls. The model is Y{i}=X{i}beta + Z{i}b + e{i} b ~ iid N(0,G) and e{i} ~ iid N(0,R{i}) i=1,2 orth.lme <- lme(distance ~ Sex * age, data=Orthodont, random=~age|Subject, weights=varIdent(form=~1|Sex), method="ML") I can see the numbers I need from summary(), but how can I extract them? I tried several functions in nlme, but I cannot find a...

...r (infollowing example it is Ped, thus if there are 20 ped, I want a output with 20 statistics, so that I can work further on them). #data generation ped <- c(1,1,1,1,1, 1,1,1,1,1, 2,2,2,2,2, 2,2,2,2,2)# I have 20 ped fd <- c(1,1,1,1,1, 2,2,2,2,2, 3,3,3,3,3, 4,4,4,4,4) # I have ~100 fd iid <- c(1:20) # number can go up to 2000 mid <- c(0,0,1,1,1, 0,0,6,6,6, 0,0, 11,11,11, 0,0,16,16,16) fid <- c(0,0,2,2,2, 0,0,7,7,7, 0,0, 12,12,12, 0,0,17, 17, 17) y <- c(3,4,5,6,7, 3,4,8,9, 8, 2,3,3,6,7, 9,12,10,8,12) x1 <- c(1,1,1,0,0, 1,0,1,1,0, 0, 1,1,0,1, 1, 1,1,0,0)...

Someone just sent me a data set that causes the lmekin function, part of the kinship package, to fail. In chasing it down I get an error I have never seen before. fit <- lmekin(icam1 ~ factor(center) + age + factor(sex), random= ~1|iid, data=chaidata, varlist=kmat) Error in Y - fitted : non-numeric argument to binary operator Add the recover option, and the offending lines are fitted <- c(X %*% lfit$coef) #fitted, on the original scale residuals <- Y - fitted > options(error=recover) > fit <- lmekin(icam...