search for: chol2inv

Hi there, Please help me this out. > m [,1] [,2] [1,] 1.1 1.0 [2,] 1.0 1.1 > chol2inv(m) [,1] [,2] [1,] 1.5094597 -0.7513148 [2,] -0.7513148 0.8264463 > CT -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or &quot...

Hi, In function chol2inv with the option LINPACK set to false (default), it raises an error when the matrix is 1x1 matrix (i.e. just a real) saying 'a' must be a numeric matrix This error is raised by the underlying C function (modLa_chol2inv in function Lapack.c). Everything is normal, but I wonder if we could h...

...to control. For each simulation, I need to model 7 nls functions. I loop over 7 to do the nls using try if try fails, I break out of that loop, and go to next simulation. I get warnings on nls failures, but the simulation continues to run, except when the internal call (internal to nls) of the chol2inv fails. ============================================ Error in chol2inv(object$m$Rmat()) : element (2, 2) is zero, so the inverse cannot be computed In addition: Warning messages: 1: In nls(myModel.nlm, fData, start = initialValues, control = nls.control(warnOnly = TRUE), : number of iterations...

...Intel(R) Xeon(TM) CPU 3.20GHz R-version: R-2.1.0 I've started using a new Linux server, upgraded at the same time to R-2.1.0 (see above) and have problems with some elementary analysis that ran without a problem on my previous configuration. anova.glm gives the following error: Error in La.chol2inv(x, size) : lapack routines cannot be loaded This was with the after the following configure ./configure --with-readline --prefix=/opt/R-2.1.0 --with-libpng --with-jpeglib --with-pcre --without-x The obvious thing to try next was: ./configure --with-readline --prefix=/opt/R-2.1.0 --with-libpng...

Hi, While exploring how summary.lm generated its output I came across a section that left me puzzled. at around line 57 R <- chol2inv(Qr$qr[p1, p1, drop = FALSE]) se <- sqrt(diag(R) * resvar) I'm hoping somebody could explain the logic of these to steps or alternatively point me in the direction of a text that will explain these steps. In particular I'm puzzled what is the relationship between QR factorizatio...

...ng to use Frank Harrell's Design:::ols function to do regression of y (numeric) on the interaction of two factors (x1 and x2), but Lapack throws an error: > library(Design) ... > load(url("http://www.csse.unimelb.edu.au/~gabraham/x")) > ols(y ~ x1 * x2, data=x) Error in chol2inv(fit$qr$qr) : 'size' cannot exceed nrow(x) = 20 > traceback() 6: .Call("La_chol2inv", x, size, PACKAGE = "base") 5: chol2inv(fit$qr$qr) 4: ols(y ~ x1 * x2, data = x) 3: eval.with.vis(expr, envir, enclos) 2: eval.with.vis(ei, envir) 1: source("t.R", echo = TR...

...st[[i]]) } But if I try to get the summary of all the objects of the resultList (there are 35 objects) it doesn't work... I tried: summaryList<-list() > for (i in 1:length(resultList)) + { + summaryList[[i]]<-summary(resultList[[i]]) + } And I got the following error message: Error in chol2inv(object$m$Rmat()) : l'elemento (3, 3) ? zero, quindi l'inversa non pu? essere calcolata Which translated should be: Error in chol2inv(object$m$Rmat()): the element (3, 3) is zero (NULL?), that's why the inverse (inverse function?) can not be computed Does somebody have an idea on how...

...for an HTML browser interface to help. Type 'q()' to quit R. However, as soon as I try to use limma (or WGCNA... I haven't tried other packages yet) the following mistake pops up ( lapack routines cannot be loaded ) >library(limma) > fit <- lmFit(Data.rma, design) Error in chol2inv(fit$qr$qr, size = fit$qr$rank) : lapack routines cannot be loaded In addition: Warning message: In chol2inv(fit$qr$qr, size = fit$qr$rank) : unable to load shared object '/usr/lib64/R/modules//lapack.so': /usr/lib64/R/modules//lapack.so: undefined symbol: dpstrf_ > It is indepen...

...es.list deb http://cran.us.r-project.org/bin/linux/ubuntu precise/ All was well, until I recently upgraded from 2.15.1 to 2.15.2 by running sudo apt-get update sudo apt-get upgrade Now, when I try to do simple things, I get an error. e.g. R> PP.test(rnorm(1000)) Error in chol2inv(Qr$qr[p1, p1, drop = FALSE]) : lapack routines cannot be loaded In addition: Warning message: In chol2inv(Qr$qr[p1, p1, drop = FALSE]) : unable to load shared object '/usr/lib/R/modules//lapack.so': /usr/lib/R/modules//lapack.so: undefined symbol: dpstrf_ I'm...

Hi, I have 142 observations off different variables and I'm trying to do a OLS. And I get this error. Any Ideas ? > f <- ols(lnmigr3~popden78+income+modern+spareha+rain) Error in La.chol2inv(x, size) : size cannot exceed nrow(x) = 1 D. ----------------------------------------- Stay ahead of the information curve. Receive GIS news and jobs on your desktop daily. Subscribe today to the GIS CafeNews newsletter. [ http://www10.giscafe.com/nl/newsletter_subscribe.php ] It's inform...

Hi, All: What tools exist for diagnosing singular gradient problems with 'nls'? Consider the following toy example: DF1 <- data.frame(y=1:9, one=rep(1,9)) nlsToyProblem <- nls(y~(a+2*b)*one, DF1, start=list(a=1, b=1), control=nls.control(warnOnly=TRUE)) Error in nlsModel(formula, mf, start, wts) : singular gradient matrix at initial

...t works perfectly. However, this test is not adapted because regression residuals are not independant. That is why *I used 'breackpoints', which works for depedant errors* (Bai, 1997). Syntax: struc.test <- breakpoints(y~x1+x2+x3+x3+x4, data=D) *I get an error message:* Erreur dans chol2inv(qr.R(fm$qr)) : l'élément (5, 5) est nul, donc l'inverse ne peut être calculé (sorry for the french version, I don't know how to get the message english translation in R). My first assumption was this has *something to do with the dummy variable, so I skipped it*: struc.test <- br...

Dear list, I am sorry to bother you with this. I just upgraded yesterday to R 2.0.0 (using apt-get under Debian Sid), and now have problems running e.g., summary(lm(...)) the lm is calculated, but the summary statement gives me the following error: Error in La.chol2inv(x, size) : lapack routines cannot be loaded In addition: Warning message: unable to load shared library "/usr/lob/R/modules/lapack.so": /usr/lib/Pentium4_SSE2_512KB/liblapack.so.3: undefined symbol: ieeeck_ I searched through the archives, but unfortunately I am just not LINUX-knowle...

...routines cannot be loaded Adem?s: Mensajes de aviso perdidos In eigen(St, symmetric = TRUE) : unable to load shared object '/usr/lib/R/modules//lapack.so': /usr/lib/R/modules//lapack.so: undefined symbol: dpstrf_ model <- with(chlaR,lm(ClorMAX ~ DegDay_NM)) summary(model) Error en chol2inv(Qr$qr[p1, p1, drop = FALSE]) : lapack routines cannot be loaded The version information is: platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 15.2 year 2012 month 10 day 26 svn rev 61015 language R I am using Ubuntu 12.04.1 LTS Any ideas?

Dear helpers, I wrote a code which estimates a multi-equation model with generalized least squares (GLS). I can use GLS because I know the covariance matrix of the residuals a priori. However, it is a bit slow and I wonder if anybody would be able to point out a way to make it faster (it is part of a bigger code and needs to run several times). Any suggestion would be greatly appreciated. Carlo

...ls 10-80, nls converges successfully and the fit tracks the fit from a smoother (Supersmoother). However, if I attempt to estimate GAMMA using: START <- list(EMAX=INITEMAX, EFFECT=INITEFFECT, C50=INITC50, GAMMA=INITGAMMA) GAMMA increases rapidly to > 500 and nls terminates with: Error in chol2inv(object$m$Rmat()) : element (4, 4) is zero, so the inverse cannot be computed In addition: Warning message: In nls(FORMULA, start = START, control = CONTROL, trace = T) : singular gradient I also tried fixing GAMMA to > 1000 and I get a similar error message: Error in chol2inv(object$m...

...amma <- rep(0.5, 10) nls.dataframe <- data.frame(p.kum,felt.prob.kum, gamma) nls.kurve <- nls( formula = felt.prob.kum ~ p.kum^gamma/(p.kum^gamma+(1-p.kum)^gamma)^(1/gamma), data=nls.dataframe, start=c(gamma=gamma), algorithm="plinear" ) summary(nls.kurve) gives: Error in La.chol2inv(x, size) : 'size' cannot exceed nrow(x) = 10 If I go with the Gauss-Newton algorithm I get an singular gradient matrix error, so I tried the Golub-Pereyra algorithm for partially linear least-squares. It also seems the nls model tries to find ten different gammas, but I want...

thank you, achim. I will try chol2inv. sandwich is a very nice package, but let me make some short suggestions. I am not a good econometrician, so I do not know what prewhitening is, and the vignette did not explain it. "?coeftest" did not work after I loaded the library. automatic bandwidth selection can be a good thing,...

...omputations in R. The code follows: #regression function #Linear regression code qreg <- function(y,x) { X=cbind(1,x) m<-lm.fit(y=y,x=X) p<-m$rank r <- m$residuals n <- length(r) rss <- sum(r^2) resvar <- rss/(n - p) Qr <- m$qr p1 <- 1:p R <- chol2inv(Qr$qr[p1, p1, drop = FALSE]) se <- sqrt(diag(R) * resvar) b <- m$coefficients return(c(b[2],se[2])) } #simulate a <- c(1,.63,.63,1) a <- matrix(a,2,2) c <- chol(a) C <- 0.7 theta <- 0.8 sims <- 1000 n<-20 u <- rnorm(n,0,sqrt(1-C)) w <- rgamma(n,C/theta,1/th...

Hola! I am using package strucchange, and encounters the following: > bp <- breakpoints(diesel90 ~ regress -1, h=NULL) Error in La.chol2inv(x, size) : element (14, 14) is zero, so the inverse cannot be computed The obvious problems have been checked, that is, the model matrix is of full rank. What can be causing this? I can send some data if that can be of help. Kjetil Halvorsen