similar to: MSM modeling and transition rates in R

Hello all, I have 300 clusters of fixed size 2 and I need to do resampling with replacement to run some regression models. I've searched through the archive and the only thing I found was that I could use 'boot()' function. but it's not clear to me how I can do this. Has anyone done it? I would very much appreciate your help, kelly

Hello After (simple random cluster) resampling with replacement I ran MSM function and I'm getting the following warning message ,which I'm not sure why. I don't have any absorbing stage set up in my MSM model. I have a 4 stage uni-directional MSM model. The only thing I see might be a problem is that when the last stage (stage 4 in my data) gets repeated it seems to give me a warning

Dear list, I tried to use the nparcomp to run some post hoc non-parametric comparison and got and error. Error in uniroot(pfct, interval = interval) : f() values at end points not of opposite sign Appreciate any comments. the command line: >nparcomp(Ulceration~Group,data=test,type='Dunnett',control='Non-treated') Jun

I know this is slightly OT but folks discuss zfs compatible hardware here all the time. :) Has anyone used something like this combination? <http://www.cdw.com/shop/products/default.aspx?EDC=1346664> <http://www.cdw.com/shop/products/default.aspx?EDC=1854700> It''d be nice to have externally accessible CF slots for my NAS. I can''t put them into a drive bay because

(all in subject). If I want to do a PC analysis in a situation with missing data, I may want to have same flexibility as with "cor(.)", e.g., I may want princomp(x, ..., use.obs = "pairwise.complete") Actually, I may want even more flexibility. Currently, princomp(.) has if (cor) cv <- get("cor", envir = .GlobalEnv)(z) else cv <-

Howdy All, I am looking for some good tutorials (books, websites, whatever) for calculating/testing for Spatial Autocorrelation using R. Specifically, I am wanting to test for autocorrelation of a number of variables measured at a set of discrete locations. Up to this point I have been exploring the "spdep" package and I can get "moran.test" to work, but I am concerned that

Hello, I am using rsync for the first time. I have rsync 2.6.5 running on Solaris 9. It was built with gcc-2.95. We are experiencing a reverse lookup host error in rsyncd.log when the client with ip addy 180.X.XX.XX tries to access rsync on my Solaris box. 2005/08/11 14:30:13 [18092] rsync denied on module log from unknown (0.0.0.0) 2005/08/11 14:30:54 [18094] name lookup failed for 0.0.0.0:

Hello Rsync Community, I have been using rsync for several years to backup servers across an array of different areas. I have run into a new problem that I cannot find an answer for. We just recently purchased a Lacie 5Big Network RAID: http://www.cdw.com/shop/products/default.aspx?EDC=1596257 for one organization. We set up a test server to start backing up to this RAID via AFP. The

My previous post about prcomp and princomp was done in some haste as I had long ago indicated to Kurt that I would try to have this ready for the June release, and it appeared that I would miss yet another release. I also need to get it out before it becomes hopelessly buried by other work. Brian Ripley kindly pointed out some errors, and also pointed out that I was suggesting replacing some

I have code and documentation that don't match, but R CMD check didn't flag it. in mspath.R mspath <- function(formula, # formula with observed Markov states ~ observation times (required) qmatrix, # matrix of 1s and 0s with indices of allowed transitions (diagonal is ignored) (required) misc = FALSE, ematrix = NULL, # matrix

Hi all, I have this microarray large microarray data set (ALL) from which I would like to subset or extract a set of data based on a factor ($mol.biol). I looked up some example of subsetting in, picked up two commands and tried both but I got error messages as follows > testset <- subset(ALL, ALL$mol.biol %in% c("BCR/ABL","ALL1/AF4")) >> Error in

... I checked and Brian and I are both right (see bottom for prior mail exchange). Let me explain: ============================================================= 1. Indeed, in principle, princomp allows data matrices with are wider than high. Example: > x1 [,1] [,2] [,3] [,4] [1,] 1 1 2 2 [2,] 1 1 2 2 > princomp(x1) Call: princomp(x = x1) Standard deviations:

... I checked and Brian and I are both right (see bottom for prior mail exchange). Let me explain: ============================================================= 1. Indeed, in principle, princomp allows data matrices with are wider than high. Example: > x1 [,1] [,2] [,3] [,4] [1,] 1 1 2 2 [2,] 1 1 2 2 > princomp(x1) Call: princomp(x = x1) Standard deviations:

----- Forwarded message from Zooko O''Whielacronx <zooko at zooko.com> ----- From: Zooko O''Whielacronx <zooko at zooko.com> Date: Sat, 21 May 2011 12:50:19 -0600 To: Crypto discussion list <cryptography at randombit.net> Subject: Re: [cryptography] rolling hashes, EDC/ECC vs MAC/MIC, etc. Reply-To: Crypto discussion list <cryptography at randombit.net>

Hola. Como te dijo Carlos, el problema está en los nombres de las columnas y en los nombres de las filas. Cuando hice la importación (con dd<-read.csv('mortality.csv'), tuve problemas con las filas de nombre: - Malignant tumour of the larynx trachea bronchus and lungs - Malignant tumour of the lip pharynx and mouth - Other endocrinological metabolic and nutritional conditions

I have a problem on WinXP Pro. When I try to launch "Network Identification Panel" or "My Computer" Properties I receive an error from svchost.exe like "Memory Could not be read ... pres Cancel to Debug" and in smbd log file I have: [2003/11/26 09:37:39, 2] lib/smbldap.c:smbldap_search_domain_info(1296) Searching

Dear Sir, I am a R beginning user. I would like to apply the bagging algorithm to my data in order to classify a certain disease by Bagging Support Vector Machine Ensemble. My problem is that even if I am reading the book, looking at the examples in internet and available in R, learning a lot of theoretical things on about SVM esemble or Bagging method, I can't apply Bagged SVM esemble or

Estimados Queremos con el paquete FactoMineR hacer este tipo de tabla de mortalidad que lea los datos desde de una tabla csv Realizamos lo que viene en la ayuda y es muy interesante, sin embargo cuando mandamos a leer desde la tabla csv original de los autores no hace el análisis porque algo falta y no nos percatamos de que es. Adjunto tabla original Saludos cordiales #ESTO ES LO QUE

Dear R Users - R is a wonderful software package. CRAN provides a variety of tools to work on your data. But R is not apt to utilize all the public databases in an efficient manner. I observed the most tedious part with R is searching and downloading the data from public databases and putting it into the right format. I could not find a package on CRAN which offers exactly this fundamental

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