similar to: update.views("Spatial") does not seem to be able to find RPyGeo package

Hello, I am just beginning to use R, after several years of using S-Plus (with mixed success). I saw a recommendation on another mailing list for the Environmetrics and Spatial Task Views, as a good way for a new user to get started actually using R. The Task Views page at CRAN says: "To automatically install these views, the ctv package needs to be installed, e.g., via

Hi Guys, I would like to share my experience when installing the Spatial views packages for R. I could not install 32 packages which are parts of the Spatial views, and I use google-search and search to solve ALL those problems for about 2 days. I hope maybe somebody would benefit from my experience. I admitted that I do not have excellent programming skills at all. So, perhaps some of

Since I had too much junk cluttering my computer, I recently re-set it back to factory settings, in the process eliminating R. I now have to reload R and packages, and would like to do that via the install.views command. I have successfully downloaded the package "ctv" but R does not recognize install.views. What am I doing wrong? I am using R 2.4.0. Pierre D'Ange. "To

Hi, I am running Debian Sid. I am having trouble with the R packages. Executing 'help()' or 'demo()' launches 'most' with no text. 'help.start()' works properly. When I try to install a package, I get the following problem: ********************************************************************* > install.packages("ctv") Installing package(s) into

CRAN task views are useful, but they seem difficult to write and maintain because the XML format is rather limited (no sectioning) and the <packagelist> must be maintained manually. They are also difficult to read because the generated html and .css used are extremely basic, giving an overly dense page. Are there any markdown-like tools for writing a CTV? Is it possible to apply a

Cran task views seems to be a "once-per-session" process -- the first attempt to access views in a (RGui for Windows) session works, but subsequent attempts fail. There is a noticeably long pause before the failing call returns. Example session with two calls to "available.views" follows, but similar effects have been observed with two calls to "install.views" and

Dear R-users, After upgrading to the recent version of R, I'm having a problem updating task views: > sessionInfo() R version 2.13.0 (2011-04-13) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] datasets utils stats graphics grDevices methods base other attached packages: [1]

Dear developeRs, in the last month I mentioned in several discussions on R-help that Kurt and I were working on tools for "CRAN Task Views" which should help to structure the fast-growing list of packages on CRAN. Now the first version of a package called ctv (for CRAN Task Views) is available from CRAN and also two frist drafts for such views can be seen at

Dear Rxperts, Using R 2.8.1 and trying install.views("Cluster") getting error Error: could not find function "install.views" Please help:-( -- Oscar Oscar A. Linares Molecular Medicine Unit Bolles Harbor Monroe, Michigan [[alternative HTML version deleted]]

Hi, Please what am I doing wrong? I tried installing some views (eg MachineLearning, Multivariate) on R2.15.3, but it keeps on telling me that the package is not available for 2.15.3. Is it true? Thanks [[alternative HTML version deleted]]

Hi, I am stuck in a looping problem. It might be an easy problem for experienced R users but I have been unable to do it. Any kind of help or advice will be great appreciated. I am creating a spatial grid and have a list of spatial points in a folder. I can read the spatial points separately and get a count of the points in the spatial grid in R. The output should be a table showing the counts of

Dear all, Wouldn't it be helpful if the install.views install.packages update.packages had a "downloadonly=TRUE" flag which would allow us to download the packages and install them later (or put them in a USB stick and take them for installation on anothe PC). I am behind a firewall (Bank) and I have serious plroblem updating R or installing views (Finance, Econometrics etc.

Dear R users, I am putting together reading and resources lists for spatial statistics and spatial econometrics and am looking for some pointers from more experienced practitioners. In particular, I find two "camps" in spatial modelling, and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14

I haven't seen this cryptic warning before: > update.views('Robust') Warning message: In update.views("Robust") : The following packages are not available: covRobust, distr, FRB, MASS, mblm, multinomRob, mvoutlier, quantreg, RandVar, rgam, RobAStBase, robfilter, RobLox, RobRex, robust, RobustAFT, robustbase, ROptEst, ROptRegTS, rrcov, sandwich, wle >

hello R-friends, I am a R beginner and try to ask a basic question: How to test the spatial dependence of a column of data? for example, I have 25 agricultural fields, and I measure the average slope (%) or pH for each field. All I have is 25 numbers. PS, could someone confirm that "spatial dependence" is equivalent to "spatial correlation" or "spatial

Hi, Is there any package or functions in R that can perform tests and estimation for a spatial econometric model in a simultaneous system? Thank you!!! Xia Feng

Dear R-users, I'm trying to do some spatial simulation. I have two covariates, Z and C. I want to examine their relationship under different spatial distribution. I have no problem simulating completely spatial random process but I'm totally stuck on poisson (cluster) pattern. I already have a dataset with Z and C (obs=575) and I know the relationship between them. Using these 575

Dear all, I am looking for a clustering method usefull to classify the countries in some clusters taking account of: a) the geographical distance (in km) between countries and b) of some macroeconomic indicators (gdp, life expectancy...). Are there some packages in R usefull for this? Thanks a lot for your help, Dorina

I want to create a dataset in R with spatial correlation (i.e. clustering) built in for a linear regression analysis. Any tips on how to do this? Thanks. -- View this message in context: http://www.nabble.com/Need-help-creating-spatial-correlation-for-MC-simulation-tp19542145p19542145.html Sent from the R help mailing list archive at Nabble.com.

Dear colleagues, I'm searching for methods to analyze spatial distributions of cells with certain properties in a regular grid. For instance, consider a grid, where a part of the cells have the property "0", and the others have the property "1". I'm looking for statistics I could use for characterizing the spatial distribution of the "1-cells". Does anyone