similar to: Self-Organizing Map analysis

Dear R experts, is there a simple way to remove the last char of a text string? substr() function use as parameter start end only... but my strings are of different length... 01asap05a -> 01asap05 02ee04b -> 02ee04 Thank you all, Gianandrea -- View this message in context: http://r.789695.n4.nabble.com/remove-last-char-of-a-text-string-tp2254377p2254377.html Sent from the R help mailing

Hi folk, I tried this and it works just perfectly tapply(iris[,1],iris[5],mean) but, how to obtain a single table from multiple variables? In tapply x is an atomic object so this code doesn't work tapply(iris[,1:4],iris[5],mean) Thanx and great summer holidays Gianandrea -- View this message in context: http://www.nabble.com/multiple-tapply-tp18868063p18868063.html Sent from the R help

Hi, sqldf is a fantastic package, but when the SELECT procedure runs unused levels remain in the output. I tried with the drop function, but without success. Do you have any suggestions? Thanx, Gianandrea data(iris) require(sqldf) base<-sqldf("select * from iris where Species <> 'setosa'") str(base) # Species with 3 levels! -- View this message in context:

Dear list, is it possible to change the background color of dotplot's points? I tried in many ways but unsuccessfully Thanks in advance Gianandrea require(lattice) dotplot(variety ~ yield | site, data = barley, groups = year, pch=21) dotplot(variety ~ yield | site, data = barley, groups = year, pch=21, bg=c("2","3")) ??!!! -- View this message in context:

HI there, why these lines of code are correct plot(count~spray, data = InsectSprays) plot(InsectSprays$count) but this return an error: plot(count, data = InsectSprays); "data" method is not implemented in plot?! Thanx, Gianandrea -- View this message in context: http://www.nabble.com/plot-error-tp19624873p19624873.html Sent from the R help mailing list archive at Nabble.com.

I performed canonical correspondence analysis (cca) with the example data of vegan, but I'm not able to obtain a table like scores() for the constraining variables. I can see them in the summary() mode, but it would be great to have in a separate table. Any suggestion?, thanx Gianandrea require(vegan) data(varespec) data(varechem) vare.cca<-cca(varespec,varechem) scores(vare.cca)

Hi list, is it possible convert the xtabs result xtabs(breaks~tension+wool,data=warpbreaks) wool tension A B L 401 254 M 216 259 H 221 169 to a simple matrix or data frame? A B L 401 254 M 216 259 H 221 169 Thanks a lot! Gianandrea -- View this message in context: http://www.nabble.com/From-xtabs-to-matrix-tp24304588p24304588.html

Hello R users, Problem.......I do not understand how to use "aggregate","by", or the appropriate "apply" to perform a function on data with more than one factor on unbalanced data... I have a data frame in the long format that does not contain balanced data. The ID is a unique identifier corresponding to the experimental unit that will later be examined by ANOVA,

Hi, i want to plot figure like this, http://www.cis.hut.fi/projects/somtoolbox/download/pics2/shotvs2_colorcode.png So is there a function or package in R can help me to do this. Any suggestion will be appreciated. Thanks in advance Jiantao Shi [[alternative HTML version deleted]]

Hello all, I'm using the cloud function to plot the iris data as per the document: http://www.stat.ucl.ac.be/ISpersonnel/lecoutre/stats/fichiers/_gallery.pdf I'd like to change the point size to reflect a fourth variable, as done here http://www.cis.hut.fi/projects/somtoolbox/download/pics2/shotvs2_origdata.png Does anybody know how to do this? There doesn't seem to be an option in

Hi. Three years ago, I've read the question of availability of SOM library for R using Kohonen's SOM_PAK in this mailing-list. This answer was no availability. And no package dealing with SOM in CRAN. Is this situation same? Could you tell me availability this library? Best Regards.

Hi there, Sorry for the double email. Does R have the packages for the following clustering methods? And if it does, what the commands for them? 1. SOM (Self-organization map) 2. Graph partitioning: 3. Neural network 4. Probability Binning Thank you very much! Linda [[alternative HTML version deleted]]

Hello everyone, I'm new to this list, so let me introduce myself: my name is Jonck van der Kogel and I am a graduate student at the Erasmus University of Rotterdam. I am currently working on my thesis which is on the use of artificial intelligence for large data-sets. To do an analysis of a certain data-set I want to use Kohonen's SOM algorithm. However, as I understand it, the SOM

Hi All, This is off topic, but we're drawing a blank here.. > In a presentation I'll be giving next week, I want to include a reference > to a good general text on computing sample sizes for standard experiments. > Can anyone recommend a good book to use for this purpose? > > Thanks, > > -Greg LEGAL NOTICE\ Unless expressly stated otherwise, this

Has the algorithm used by batchSOM for hexagonal topology changed in some way between R 1.9.1 and 2.0.1? In comparing between the two versions, I get identical results for rectangular topology, but very different results for hexagonal topology. (I tried to find release notes for the VR bundle that might explain the changes, but was unable to locate these anywhere.) Here's the script I

Hello, I would like to test some learning algorithms (C5.0, or C4.5) using decision trees or neural network. I didn't find anything in the R documentation for functions to apply on datasets (well, English is not my mother tongue and I have some problems to understand some functions descriptions). Does anybody know where I can find anything about that ? Thank you very much, Thomas

Hi, I want to plot the mean of a variable and add the standard deviation as a line going above and below the mean (like the whiskers in a boxplot) but I don't know how to add these residual-lines. Is there an easy way to do that or do I have to use the line()- function to create them on my own? Thanks for help!

Hiall, I was wondering how you guys are organizing your migrations files under db/migrate? I have like 60 database tables initially, and if I exercise migrations the way they should be exercised, I guess this will become even more files ... Now maybe you say 70 files ain''t that much anyway :) but the thing of course is that these files logically belong to different areas of my

Recently I've run into memory problems while using data.frames for a reasonably large dataset. I've solved those problems using arrays, and that has provoked me to do a few benchmarks. I would like to share the results. Let us start with the data. There are N subjects classified into G groups. These subjects are observed for T periods, and each observation consists of M variables. So,

All: Sorry if this is a bit off-topic, but... having two successful workshops at Supercomputing, I'm contemplating a third (I'm a glutton for punishment.) This year, the focus will be on many/multicore's programmability gap -- the gap between today's languages and the multicore/manycore architectures that we're trying to program. A stellar example is software development on