similar to: V fold cross validation

Has anyone implemented Tibrishani's gap statistic in R or S plus? If so I would greatly appreciate the relevant script file. Any help will be much appreciated Kind regards Dr Graham Leask Economics and Strategy Group Aston Business School Aston University Aston Triangle Birmingham B4 7ET Tel: Direct line 0121 204 3150 email g.leask@aston.ac.uk [[alternative HTML version deleted]]

Dear List Has anyone used R to distnguish between alternative forecasting models? In particular is the Diebold Mariano test available for use within R. Any assistance would be greatly appreciated. Graham Leask Lecturer in Strategy Economics & Strategy Group Aston University Aston Triangle Birmingham B4 7ET Tel: 0121 204 3150 E Mail: g.leask at aston.ac.uk

Dear List I am looking for a script that will calculate the Box M test to test the homogeneity of the variance/covariance matrix between two matrices. If anyone could send me the script I would appreciate it. I am aware of the scepticism about this test, where due to extreme sensitivity a p value of 0.01 is recommended. Despite this however Box's M test is the established

Is there a function available in R that implements Mojena's Upper Tail Rule or that draws a Mojena plot? I would also like to find a function that implements Duda and Hart's stopping rule. Finally with function cophenet how can I achieve a straightforward Cophenet correlation coefficient (i.e. one number for example 0.876) that gives the agreement between the structure of the

I have a set of data that consists of a number of biological measurements. The columns are Time that runs from 01/01/2005 to 01/5/2007, Group which has 23 levels and postcode which is nested within group. This is a balanced panel but the number of postcodes differs within groups, from 15 to 400. The rest of this data consists of a number of columns of quantitative measures, largely counts.

I have two data frames with a number of common variables that I wish to put into "long format". The first contains the variables es(Csales) [1] "terr" "Dec.02" "Jan.03" "Feb.03" "Mar.03" "Apr.03" "May.03" "Jun.03" [9] "Jul.03" "Aug.03" "Sep.03" "Oct.03"

Which files are needed to build clang? Is it clang-3.0rc2 and llvm-3.0rc3 or do I need the whole test suite? John Dr John P. Fletcher Tel: (44) 121 204 3389 (direct line), FAX: (44) 121 204 3678 Chemical Engineering and Applied Chemistry (CEAC), Associate Dean - External Relations, School of Engineering and Applied Science (EAS), Aston University, Aston Triangle, BIRMINGHAM B4 7ET 

Dear List How do you change the colour settings for the banner/silhouette plot? I am trying to produce a black and white plot of publication quality. Is there a way to set black and white plots as the default for R graphics? Any help greatly appreciated. Graham Leask Economics & Strategy Group Aston University [[alternative HTML version deleted]]

Dear all, I am grateful if anyone provides a solution to my problem of no y-axis label using png on linux. If I use postscript device or X11 device, it is fine. On Windows, it works with png. I have tried different versions of R and none of them works. Best regards, Xiaoming Cai, Dr. School of Geography, Earth and Environmental Sciences University of Birmingham Edgbaston, Birmingham B15 2TT

I currently have a network of 3 SG Unix boxes to which I want to add an SG running WinNT, I know that I can serve unix file systems to WinNT. Is it possible to serve WInNT drives to Unix using Samba ?, If not can you suggest any possibilities. Andy White ---------------------------------------------------------------------------- ---------- University of Central England Unit 2 Holt Court,

On Nov 7, 2011, at 2:00 PM, Bill Wendling wrote: > Good day, LLVMers! > > We are starting on our third (and hopefully last) round of testing for LLVM 3.0. Please visit: > > http://llvm.org/pre-releases/3.0/rc3/ > > for the sources. There are also binaries for Darwin up there, with more to come during the week. Please build this release candidate, test it out on your

Hi, On behalf of one of our users, I installed R 1.8.1 on HP-UX11.0 by compiling the source using the gnu compilers and all was fine with make check On 1.9.0, I get an error from 'make check' when running reg-tests-1.R which gives error exit code 1. Commands used are: ./configure --prefix=/apps/global/Gnu_R/R-1.9.0 --with-x R_BROWSER=mozilla (all on one line, of course) make make

Sorry if this is a FAQ but I have tried searching the web and both samba3 books but I can't find the answer. I would like to use a single LDAP server (openldap) to authenticate multiple Samba3 PDCs serving different domains to authenticate Windows XP clients. Ideally I would like an XP client to appear in both domains and the user to get different profiles depending on which domain they

Thanks. I was "believing" an Excel import of the file - as you say, a re-import into R still has 333 columns. I shall look elsewhere for the cause of the mysterious truncation. Stuart > ----- Original Message ----- > From: "Thomas Lumley" <tlumley at u.washington.edu> > To: "Stuart Leask" <stuart.leask at nottingham.ac.uk> > Cc:

Brian Ripley pointed out that there is already an R function scale() that does the work of my standardize(). -Greg -----Original Message----- From: Warnes, Gregory R Sent: Friday, January 18, 2002 9:38 AM To: 'Stuart Leask' Cc: 'r-help at stat.math.ethz.ch' Subject: RE: z-scores for different factor levels Hi Stuart, I often use this small function standardize <-

Removing rows with NAs, using na.omit(), doesn't seem to be working for me. Dataset: > str ( ex10s ) 'data.frame': 2189576 obs. of 5 variables: $ LOPNR : int 58 58 58 58 64 64 64 64 64 64 ... $ DIAGNOS: Factor w/ 173 levels "F20","F200","F2000",..: 128 128 128 128 105 105 105 160 105 105 ... $ X_DATE : int 20060821 20061207 20080102 20090904

Hi Stuart, I often use this small function standardize <- function(x) ( x - mean(x, na.rm=T) ) / sqrt(var(x, na.rm=T)) to standardize variables. You should be able to use this to do what you want by splitting the data frame into sections based on the factor level, using standardize() to create a new variable in each section, then paste the data frame back together. Something like: #

Dear list I have a response variable coded 0/1 i.e. a binary response. There are 20,000 individual responses that I would like to aggregate into numbers of each category (i.e. 0/1) by group called dn (350 different groups) and by month mth (there are several hundred responses per month. What is the simplest way to perform this operation in R?

I am looking to fit one or more latent categorical variables to data that is a mixture of categorical and continuous variables. Factor analysis would work for continuous data, latent class analysis for categorical data. I understand that in a package such as MPlus I could perform a single analysis of both data types. Are there similar routines available in R? Stuart -----Original Message-----

I have a large dataset organised in choice groups see below. Each choice represents a separate occasion with 1 product chosen out of the 6 offered.            +-------------------------------------------------------------------------------------------------+      | dn   obs   choice      acid   br                 date       cdate   situat~n   mth   year   set |