similar to: Failing to print mer object in an RData image

I have two character vectors x and y that have the following characteristics: length(x) # same as length(y) # 872099 length(unique(x)) # 47740 length(unique(y)) # 52478 I need to crosstabulate them, which would lead to a table with 47740*52478 # 2505299720 cells, which is more than 2^31 # 2147483648 cells, which seems to be R's limit because I am getting the error message Error in

Hello all, I try the follow test with an odf file. *INPUT: teste.odt* <teste, results=xml>>= x <- matrix(rnorm(6), nc=2) xst <- tableStyles(x, useRowNames = TRUE, header = NULL) odfTable(x, styles=xst, colnames = NULL, useRowNames = TRUE) @ and I get this error: *OUTPUT error:* Error: chunk 1 (label=teste) Error in matrixPaste(textStart, textName, textEnd, x, tagEnd, sep =

Sorry, don't know enough to give you trustworthy answers, but I can say that crashes due to (or linked to) packages should usually be reported to the package maintainer, who can be found by the ?maintainer function. That person may not monitor this list. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it."

I am having a problem extracting from "mer" objects.    I have constructed my problem using existing datasets.   Using the following commands:   require(lme4) fm1 <- lmer(Yield ~ 1 + (1 | Batch), Dyestuff) fixef(fm1) I get the following error message: "Error in UseMethod("fixef") : no applicable method for "fixef""   I know that "fixef" is in

What is teh reason some functions in the AICcmodavg package do not work with 'mer' class models? One such example would be the 'importance' function. Thanks Ronny -- View this message in context: http://r.789695.n4.nabble.com/AICcmodavg-functions-and-mer-class-models-tp3714534p3714534.html Sent from the R help mailing list archive at Nabble.com.

I have a question regarding the build of my project papeR (hosted on R-forge http://r-forge.r-project.org/R/?group_id=1574) with respect to lme4. Both, Windows and MacOS are complaining that lme4 doesn't export summary: Error : object 'summary' is not exported by 'namespace:lme4' ERROR: lazy loading failed for package 'papeR' Linux however builds the project

Hello, Could somebody please tell me what am I doing wrong in following? I try extract coefficients (using arm-package) from the lmer frunction, but I get the following warning: a<-data.frame(coef(res)) Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors) : cannot coerce class "coef.mer" into a data.fram I think I have done it before

Dear R helpers, For an allometric analysis (allometric equation y = a*x^b) I would like to apply a non-linear regression instead of using log-log transformations of the measured parameters x and y and a Model II linear regression. Since both of the variables x and y are random, I would like to apply a Model II non-linear analog of either Reduced Major Axis or Major Axis Regression. The

What is the easiest way to extract a value from a 'mer' object from glmer? The first I need is the trtpair Std.Dev. which in this case is 0.17542? I've managed to get the fixed effects numbers from summary(fednmaout)@coeffs but no luck with the Random effects stuff. TIA Jim > fednmaout Linear mixed model fit by REML Formula: lor ~ as.factor(t2) + as.factor(t3) + (1 |

Dear all, I try to run the example of lmer and get the following error message. > library(lme4) > example(lmer) lmer> (fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)) [[1]] Error in get(x, envir, mode, inherits) : variable "as.dpoMatrix" was not found This error message is similar to what I get with other models. It looks like the mer class has a slightly

Hi, I am new to samba and Kerberos so please be gentle! I have built a samba AD DC (v4.3.5) on Centos Linux from source and am trying to add a service principal and generate a keytab containing the principal. However the principal entry does not appear in the keytab. Here's what I did: [root at bones ~]# samba-tool spn add GEMSTONE64/bunk.gemtalksystems.com at

Dear list, I have a list, as follows : a <- 5 names(a) <- "a" b <- 9 names(b) <- "b" c <- 15 names(c) <- "c" x <- list("i" = a, "j" = b, "j" = c) I want to invert the list, like this : $a i 5 $b j k 9 15 I do not find a clean solution. Could anyone give me elegant ideas ? Thanks in advance, Carlos

This patch series introduces the tapback daemon, the user space daemon that acts as a device''s back-end, essentially most of blkback in user space. The daemon is responsible for coordinating the front-end and tapdisk. It creates tapdisk process as needed, instructs them to connect to/disconnect from the shared ring, and manages the state of the back-end. The shared ring between the

Hi all Is there going to be a binary of R 2.8.0 for Ubuntu Intrepid Ibex i386 - i.e., not just amd 64bit? Thx, RZ [[alternative HTML version deleted]]

Hi all Is there going to be a binary of R 2.8.0 for Ubuntu Intrepid Ibex i386 - i.e., not just amd 64bit? Thx, RZ [[alternative HTML version deleted]]

Gracias a todos por las recomendaciones. Ya me he puesto en contacto con el autor y le explicado donde esta el error. Es tan fácil como que han cambiado la estructura de los objetos tipos lmer desde la versión 2.15.3 con lo que su paquete dejo de funcionar. Por suerte la nueva estructura conserva por lo menos la parte necesaria para hacer sus funciones. Se localizar el fallo y como arreglarlo, lo

Hace unos meses os escribir para comunicaros que había un fallo en esta función. Como os prometí os comento la respuesta por si alguno está interesado en utilizar el paquete LMERconvenientsfucntions Dear Javier, The package has been updated and should work for you fine now. Note that function mcp.fnc does not return the fourth plot (dffits) anymore. We still have to figure out a way to compute

Hi there, I have a major problem (major for me that is) with solve.QP and I'm new at this. You see, to solve my quadratic program I need to have the lagrange multipliers after each iteration. Solve.QP gives me the solution, the unconstrained solution aswell as the optimal value. Does anybody have an idea for how I could extract the multipliers? Thanx, Serge "Beatus qui prodest quibus

Package: xcp-xapi Version: 1.3.2-6 Severity: normal Tags: upstream vbd plug to PV domain cause following error: The server failed to handle your request, due to an internal error. The given message may give details useful for debugging the problem. message: the device disappeared from xenstore (frontend (domid=4 | kind=vbd | devid=51760); backend (domid=0 | kind=vbd | devid=51760)) (same error

Hi all, I've now got a problem with some modified lmer code (function lmer1 pasted at end) - I've made only three changes to the lmer code (marked), and I'm not really looking for comments on this function, but would like to know why execution of the following commands that use it almost invariably (but not quite predictably) leads to the R session terminating. Here's the command