similar to: Simple question about function with glm

Dear R-developers: I'm trying to build a 64-bit R-patched_2006-07-24 on SunFire V40z with on Solaris OS 10 64-bit kernel and using Sun Studio 11 compilers. Everything runs OK until it gets to building package tools (all.R) where it fails. Bellow is how I tried it (I can provide any other additional info if needed). Any help please? Thank you very much Latchezar Dimitrov Wake Forest Univ.

Greetings all! This problem occurs using R 1.8.1 on Windows XP. I downloaded the binaries for R and all packages, including the VR bundle, in December 2003. The data consists of NZ$ prices and attributes for 643 cars. > summary(price) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 14290 35800 48990 65400 79000 285000 2 > library(MASS) > boxcox(price

Hi, I'm a newbie and i am unable to use lillie.test in nortest I have a message: "Couldn't find function "lillie.test" I am under windows2000 with R1.8.1 nortest is listed with .packages(TRUE) How to do to use lillie.test function? Laurent Houdusse Analyste Programmeur

Full_Name: David Sterling Version: 2.4.0 OS: OS X Submission from: (NULL) (64.81.102.199) lillie.test() dies without grace producing the error message: 'Error in if (pvalue > 0.1) { : missing value where TRUE/FALSE needed' when passed a vector of identical values. Examples: > lillie.test(c(0,0,0,0,0,0,0,0,0,0)) Error in if (pvalue > 0.1) { : missing value where TRUE/FALSE

Hi all, I have a dataset of 2000 numbers ( it's noise measured with a scoop ) Now i want to know of my data is normal distributed (Gaussian distribution). I did already: - 68-95-99.7 test - Q-Q-plot and now i used "nortest library" and the Lilli.test() However i don't understad the output? lillie.test(z) Lilliefors (Kolmogorov-Smirnov) normality test data: z D =

Sorry guys, but I chose a really stupid name before (no "reference classes"). Hope it's okay to re-post. Cheers, Janko >>> ORIGINAL MESSAGE <<< Dear list, Is it possible to update or reassign '.self' with an image of '.self' (e.g. a locally stored .Rda file) from within a method? I know that this might sound akward, but here's the use

Hi I am estimating the following coxph function with stratification and frailty?where each person had multiple events. m<-coxph(Surv(dtime1,status1)~gender+cage+uplf+strata(enum)+frailty(id),xmodel) ? > head(xmodel) id enum dtime status gender cage uplf 1 1008666 1 2259.1412037 1 MA 0.000 0 2 1008666 2 36.7495023 1 MA 2259.141 0 3 1008666

This is what I have been using. Does anyone have a better way? In particular I would like to see letters in comment strings not stretched so much. Thanks -Frank \documentclass{article} \usepackage{listings,relsize} \lstloadlanguages{R} \newcommand{\lil}[1]{\lstinline|#1|} \begin{document} \lstset{language=R,basicstyle=\smaller,commentstyle=\rmfamily\smaller, showstringspaces=false,%

I am at a loss here and hoping for some advise on where to begin looking with a series of errors I am suddenly getting when trying to rake: "anything goes here" .. lil-loco:/rails/cem craigmartin$ rake db:migrate (in /rails/cem) rake aborted! Permission denied - /rails/cem/db/schema.rb This is the current error. lil-loco:/rails/cem craigmartin$ rake db:schema:load (in /rails/cem) --

dear list, since matrix manipulations is often of interest in statistical computations, i'd like to get a working example of using Lapack for regression. However, i run into an error. My matrix-lapack-example.c file: #include <R_ext/Lapack.h> void reg(const char* trans, const int* m, const int* n, const int* nrhs, double* a, const int* lda, double* b, const int*

Any have trouble with acroread taking up massive cpu and memory? I exited my Firefox browser and the lil bastard was still hogging up my resources. Took up 69% of 4GB, and wouldn't let go, until a kill -9 showed'em, have to do it every time I open a pdf in firefox. Any use Xpdf or something else?

Good Night I made different test to check normality and multinormality in my dataset, but I don´t know which test is better. To verify univariate normality I checked: shapiro.test, cvm.test, ad.test, lillie.test, sf.test or jaque.bera.test and To verify multivariate normal distribution I use mardia, mvShapiro.Test, mvsf, mshapiro.test, mvnorm.e. I have a dataset with almost 1000 data and 9

Hi all! I have a .bat file that I need to run on a machine that runs Linux. Is it possible to run a .bat file under WINE? I have installed WINE and tried writing wine test.bat on the command line but it didn't work. I got the error message, wine: Bad EXE format for H:\Dokument\test.bat Is it only .exe files that can be run under WINE? Thanks, S?nia S?nia Lil?o O2 Strandv?gen 5B 114 51

Hi! I have gone a bit further with the installation of Python with Wine. I have downloaded http://www.dll-files.com/dllindex/dll-files.shtml?msvcirt and placed it in the .wine/drive_c/windows/system directory. And I have run msiexec /i python-2.4.msi within the .wine/drive_c directory. The Python setup windows pops up but when selecting the "Destination directory" I get the

I wish to pass a vector ``y'', some of whose entries are NAs to a fortran subroutine which I am dynamically loading and calling by means of .Fortran(). The subroutine runs through the vector entry by entry; obviously I want to have it do one thing if y[i] is present and a different thing if it is missing. The way I am thinking of proceeding is along the xlines of: ymiss <- is.na(y)

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I have sort of an emergency question for the list. One of my professors for an S-Plus intensive class distributed a function to produce partial regression plots. I need to run it under R, because I'm doing the homework on my home computer with a modem; hence I don't have the speed required to emulate X-Windows and run S Plus off one of the campus servers. Bottom line: I'm using R.

Hi experts of R, Are there any functions in R to test a univariate series for long memory effects, structural breaks and time reversability? I've found for ARCH effects(ArchTest), for normal (Shapiro.test, KS.test(comparing with randn) and lillie.test) but not for the above mentioned. Where can I find a comprehensive list of functions available by type? Thank you Renato Costa -- View this

Dear list: I am interested in the following sort of problem, as is found frequently in the field of QSAR. I have biological activity as a function of chemical structure, with structure defined in a categorical manner in that the SUBSTITUENT is the levels of the POSITION factor. For example, data from Kubinyi (http://www.kubinyi.de/dd-12.pdf) for this type of analysis is presented as follows:

I was hoping that there might be some way to attach significance code like the ones from summary.lm to a dataframe. Anyone know how to do something like that. Here is the function i'd like to add that functionality to: add1.coef <- function(model,scope,test="F",p.value=1,order.by.p=FALSE) { num <- length(model$coefficients) add <- add1(model,scope,test=test) sub <-