similar to: Repeated measures

how does one numerically intergate the following: A=function(x,y) { xy } over the range: 2<x<0 4<y<10 say. ie how would one set up the integrate function? i forgot!

The search at www.r-project.org mentioned a function "gauss.hermite{rmutil}". However, 'install.packages("rmutil")' produced, 'No package "rmutil" on CRAN.' How can I find the current status of "gauss.hermite" and "rmutil"? Thanks, Spencer Graves

Dear List Members, I need a bit help about fitting some theoretical distributions (such as geometric, exponential, lognormal or weibull distribution) to the following *dry spell*, *wet spell*, *cycles (Wet-Dry or Dry-Wet)* from my meteorological (daily rainfall) data http://www.angelfire.com/ab5/get5/R.rainfall.txt only for rainy seasen (july - september) of 14 years only:

Dear all, I am interested in correctly testing effects of continuous environmental variables and ordered factors on bacterial abundance. Bacterial abundance is derived from counts and expressed as percentage. My problem is that the abundance data contain many zero values: Bacteria <-

Hi, R-Help, I am a newbie. what I concern most recently is the analysis of the time series, But there are a lot of package in my eyes. All I want to try is as follow: How to test whether a time series fit the Poisson or other process in R? Thank you very much in advance. 仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭guangxing at ict.ac.cn 仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭仭2005-11-25

Hello - I cannot get to www.alpha.luc.ac.be/~jlindsey/rcode.html<http://www.alpha.luc.ac.be/%7Ejlindsey/rcode.html>to obtain and install the repeated library for use of glmm(). Is the web page not active? Can you give me an alternative location to obtain the repeated library? Thank you, Becky Parker [[alternative HTML version deleted]]

Dear r-helpers, I downloaded http://popgen.unimaas.nl/~jlindsey/rcode/rmutil.tar (it was originally .tgz, but got unzipped by my browser). Can anyone give me detailed instructions on installing this and Lindsey's other packages on R version 2.4.0 (2006-10-03)---(powerpc- apple-darwin8.7.0, locale: C)? _____________________________ Professor Michael Kubovy University of Virginia

Thompson's Manual to Accompany Agresti's book refers to a package named "repeated". It's not on CRAN from what I can see. I have seen rpm's for it. Where is the best place to download this package? Rick B.

Hi all, Does anyone know what happened to the dna library or the dotmatrix function? For the life of me, I can't find it anywhere with the exception of this reference: http://rss.acs.unt.edu/Rdoc/library/dna/html/dotmatrix.html Thanks! Jeff. http://www.nd.edu/~jspies/ [[alternative HTML version deleted]]

Hi All, I want to upload J K Lindsey's "repeated" in a LINUX OS.. I had tried the command.. [root@localhost Desktop] # R CMD INSTALL repeated.gz " WARNING: invalid package 'repeated' " *Installing to library '/usr/local/lib/R/library' ERROR: No packages

I would like to install the package "growth" as it contains the function "corgram" and some other presumably useful stuff for time series analysis. I can see it is in R standard library list: http://hosho.ees.hokudai.ac.jp/~kubo/Rdoc/doc/html/packages.html<http://hosho.ees.hokudai.ac.jp/%7Ekubo/Rdoc/doc/html/packages.html>

Hello! I must estimate the parameters of a exponential power density. There is the normalp package, but this works only for a shape parameter bigger than 1. But what should i do if the shape parameter is less than 1? (Sorry for my english) Thank you very much for help! -- View this message in context: http://www.nabble.com/Parameters-of-exponential-power-density-tp20774495p20774495.html Sent from

Dear R-users, Do you know if we can use the function lme in R for log-normal distribution of parameters as used in Nonmem ? theta=theta0*exp(eta) In our model, the parameters follow the log-normal distribution so it's not reasonable to deal with normal distribution which gives us negative values in simulation Thanks for your help, Thu [[alternative HTML version deleted]]

*Dear R-help: My name is Rodrigo and I have a question with nlme package in R to fit a mixed beta regression model. The details of the model are: Suppose that:* *j in {1, ..., J}* *(level 1)* *i in {1, ..., n_j}* *(level 2)* *y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij}) y_{ij} = mu_{ij} + w_{ij} * *with* *logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}

Dear R-help I am wondering if somebody wrote some code to convert an adjacency list model into a nested set model. In principal I want to do the same as John Celko mentioned it here with SQL: http://groups.google.co.uk/groups?hl=en&lr=lang_en&selm=8j0n05%24n31%241 %40nnrp1.deja.com Assume you have a tree structure like this Albert / \ /

A non-text attachment was scrubbed... Name: not available Type: text Size: 1215 bytes Desc: not available Url : https://stat.ethz.ch/pipermail/r-help/attachments/19980225/6146ab11/attachment.pl

Dear useR again, How can I read a dataset if lines in dataset did not have same elements (have different lengths), For example: 1 2, 4, 16, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 2 2, 13, 5, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 3 4, 5, 11, 1, 1, 6, 1, 1, 5, 14, 1, 1, 15, 1, 1 4 2, 5, 9, 1, 1, 14, 1, 1, 8, 16, 1, 1, 13, 1, 1 5 3, 7, 14, 1,

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

Hi, Suppose I have a matrix, A. Is there an easy way to find A^{n}? I mean, I can do something like: A %*% A %*% A %*% A for A^4, but if I want A^{10} it would be kind of annoying... Cheers, Kevin ------------------------------------------------------------------------------ Ko-Kang Kevin Wang Postgraduate PGDipSci Student Department of Statistics University of Auckland New Zealand