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...e this to do a classification of my data...I have chosen 12 classes but, I have always an error message: Error: empty cluster: try a better set of initial centers So, I don't understand the probleme with this function.. Thank you to help me!! All the Best Clothilde Clothilde Kussener CNRS - CEBC 79360 Villiers en bois France --------------------------------- [[alternative HTML version deleted]]

...ong? Thanks for your help, Am?lie -- -------------------------------------------------------------------------------------------------------------------------------- *Am?lie Lescro?l* Postdoc - Seabird ecology Centre d?Etudes Biologiques de Chiz? ? 79360 Villiers en Bois ? France *_http://www.cebc.cnrs.fr/Fidentite/lescroel/lescroel.htm_* *_http://www.cebc.cnrs.fr/ecomm/En_ecomm/En_index.html_* *_http://www.penguinscience.com_* <http://www.penguinscience.com/> -----------------------------------------------------------------------------------------------------------------------------...

dear all, I would like to center and scale some columns of a data frame (these include NAs) according to the levels of an index (list of factors from the same data frame). I tried to code it using for loops but gave up. I guess there is a straightforward way to achieve this: any hint welcome! thanks a lot thomas -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Dear all, I'm importing some data (with read.table, file ".txt") but I have some problem: R truncates my numeric data at 2 digits during the importation... It's the first time that I see that. Thanks for an answer. David

I have to solve a clustering problem. My first step is to determinate the number of clusters, that's why I 'm using the Calinski index ( [tr(b)/(k-1)]/[tr(w)/(k-1)] ) which i try to maximize to have the best number of clusters. A function is already implemented in R to calculate this index : clustIndex(cl,x, index="calinski") where cl is the result of a clustering method ,

...b4 4000 4006 9c94 c0a8 3821 E..... at .@.....8! 0x0010: c0a8 3820 c10a 0185 4279 4de8 6f87 c6a9 ..8.....ByM.o... 0x0020: 8018 0104 f2a1 0000 0101 080a 0052 eaa8 .............R.. 0x0030: 0052 ea7d 0000 00e5 0504 04ff 000c 000c .R.}............ 0x0040: 0000 0000 12bf 074d 94b4 cebc aa16 e16b .......M.......k 0x0050: dff1 ef34 3081 c602 0107 637b 043e 3c53 ...40.....c{.><S 0x0060: 4944 3d30 3130 3530 3030 3030 3030 3030 ID=0105000000000 0x0070: 3030 3531 3530 3030 3030 3043 3831 3645 00515000000C816E 0x0080: 3033 4234 4530 4545 4241 3933 3735 3541...

Dear Users, I use Sgeostat to calculate co variogram (function est.variogram with two variables). If i inverse the 2 variables in the functions, the co variogram change! Normaly it is symmetric, isn't it? Someone could me explain why, or give me an idea to calculate co variogram in a easy way... Thanks in advance Laurent ps : sorry for my english Laurent William Dubroca Centre de

Hello, I would like to fit generalized linear mixed models but I did not find the package allowing such procedure. R help under nlme package gives me "glmmPQL(MASS)" but this file does not appear in contributed packages. Thanks in advance for your answer. Alexandre MILLON -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, I meet some tecnhical problem when performing type III test in an analysis of covariance. I code with contrast=sum and precise type="III" for the anova table. There is a warning message like this: Models with response "NULL" removed and type I is performed by default. And R-Help is not very clear on use of contrasts. Please don't rush in the usual holy war about

Full_Name: thomas cornulier Version: 1.9.0 and 1.9.1 OS: Win XP Submission from: (NULL) (194.254.155.62) the following function produces R crashes under windows XP platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 9.1 year 2004 month 06 day

Hello, I am running (non-balanced) mixed models (using library lme4) such as : model1<-glmmPQL(Y~grouping variable+ covariate, random=~1|yr/month, data=dat, family= gaussian or poisson) and besides the usual output in terms of the statistical significance of the fitted coefficients, I'd like to obtain the adjusted means and standard deviations (as one obtains after fitting a lm model).

hello! je veux importer un fichier de donnees excel que j'ai au prealable converti en fichier txt avec separateurs tab, fichier de la forme entree simple (suite de colonnes contenant des variables). Voila ma ligne de commande : > poussins <- read.table("poussins.txt", header=T, sep="\t") et sa reponse Erreur dans scan(file = file, what = what, sep = sep, quote =

Hi, I am performing glm with binomial family and my data show slight overdispersion (HF<1.5). Nevertheless, in order to take into account for this heterogeneity though weak, I use F-test rather than Chi-square (Krackow & Tkadlec, 2001). But surprisingly, outputs of this two tests are exactly similar. What is the reason and how can I scale the output by overdispersion ?? Thank you,