similar to: Statistical analysis of a large database

Hi, how can I import really big plain text data files (several GB) from an ERP-System (SAP-Tables) to R? The Header of these files are always similar, for example: Tabelle: T009 Angezeigte Felder: 7 von 7 Feststehende F??hrungsspalten: 2 Listbreite 0250 ---------------------------------------------------------------------- |X|MANDT|PERIV|XKALE|XJABH|ANZBP|ANZSP|LTEXT

R people, I need to know if is possible to make data mining with R. If so, is there any manual or somewhere/one to consult about that. Thank you very much Adri?n

Dear R-user, I wish to know if someone is using R as concern Datamining or KDD (Knowledge Discovery in Database) and if already exists a R package specialized in this kind of analysis. I found this contributes on the R web site: [20] Diego Kuonen. Introduction au data mining avec R : vers la reconqu??te du `knowledge discovery in databases' par les statisticiens. Bulletin of the Swiss

Hi All, I am interested in learning about people's experience with R training or courses. What worked, what didn't? What do you recommend? Also, if there any groups or individuals that have and can offer R training courses, please contact me directly. I would like to learn about your services. Thanks for your input and help. Please feel free to contact me directly. Russ

Is there any package similar to the XML package that is able to "extract" relevant information from HTML files. Namely, I'm interested in obtained data that is represented as a HTML table, into some R-type structure. Thank you. -- Luis Torgo FEP/LIACC, University of Porto Phone : (+351) 22 607 88 30 Machine Learning Group Fax : (+351) 22 600 36 54 R. Campo

Can someone please explain to me why the dates get shifted by one day when I create an its ( irregular time-series ) object from a matrix for which I've assigned row names. E.g. in the example run below, why does the its object have dates one-shifted from my original dates? > install.packages('its') > install.packages('Hmisc') > require(its) > m <-

I'm reading Torgo (2010) *Data Mining with R*<http://www.liaad.up.pt/~ltorgo/DataMiningWithR/code.html>in preparation for a class I'll be teaching next quarter. Here's an example that is very non-functional. > pH <- c(4.5,7,7.3,8.2,6.3) > names(pH) <- c('area1','area2','mud','dam','middle') > pH area1 area2 mud dam

Hi Thomas, see these papers or books (some are available on the web): Diego Kuonen, Introduction au data mining avec R : vers la reconqu??te du `knowledge discovery in databases' par les statisticiens. Bulletin of the Swiss Statistical Society, 40:3-7, 2001. Consultabile all??indirizzo web: http://www.statoo.com/en/publications/2001.R.SSS.40/ Diego Kuonen and Reinhard Furrer, Data mining

Dear R-users, I'm felling kind of blocked on a quite simple problem and I wonder if someone could give me a help with it. My problem: x[0] = 100 x[1] = (1+v[1])*x[0] x[2] = (1+v[2])*x[1] ... i.e. x[i] = (1+v[i])*x[i-1] and x[0]=k Given a set of v values I wanted to obtain the corresponding x values in an efficient way (i.e. without a for loop). For instance, if x[0] = 100 and v =

Regarding a previous question concerning the kmeans function I've tried the same example and I also get a strange result (at least according to what is said in the help of the function kmeans). Apparently, the function is disregarding the initial cluster centers one gives it. According to the help of the function: centers: Either the number of clusters or a set of initial cluster

I'm trying to obtain a set of regression lines obtained for different values of a factor using lattice. I would like to add a string to each panel showing the R^2 value of the respective line, but I'm having difficulties positioning the text (namely on which coordinates to give to the "ltext" function). Here is what I'm using (I've used ?? for the things I would like

Are there any packages in R that are suitable for doing time series forecasting using neural networks? I have looked in the nnet package and neural package and they both seem geared towards classification. thanks, Spencer [[alternative HTML version deleted]]

Hi. I frequently use RMySQL package to interface R with MySQL databases. I was having a try with package DBI and I got the following error: > library(RMySQL) > library(DBI) > drv <- dbDriver("MySQL") > ch <- dbConnect(drv, dbname="mydb", user="myuser", password="mypasswd") > ibm <- dbGetQuery(ch,"select * from table where

I'm having some problems with valid field names when using RMySQL to interface R (version 1.7.0, under RedHat9.0), to MySQL (4.1.0-alpha). I think I've spotted the problem and a solution (which is working for me), but I wanted to share this with you as I may be missing something. (Note: I'm aware that this is an old R version, but I've checked the code of the lastest version of

Dear R list, I'm having some problems with font encodings when using R+Sweave+Latex in my native language: Portuguese. My environment: Kubuntu 5.10 Linux $> uname -a Linux nassa 2.6.12-9-686 #1 Mon Oct 10 13:25:32 BST 2005 i686 GNU/Linux R> R.version _ platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu

Dear all, I've recently encountered a strange behaviour when using R with portuguese accented characters. The most curious aspect is that using the same code with ESS under XEmacs the behaviour is different. My system is: > R.version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major

I am running some models (for the first time) using rpart and am getting results I don't know how to interpret. I'm using cross-validation to prune the tree and the results look like: Root node error: 172.71/292 = 0.59148 n= 292 CP nsplit rel error xerror xstd 1 0.124662 0 1.00000 1.00731 0.093701 2 0.064634 1 0.87534 1.08076 0.092337 3 0.057300 2

Hi r-people :) I'm sorry to disturb but I must admit that I know amazingly little about R and similar statistics-packages/languages and I'm kind of lost on where to start. I'm currently working on a datacollection framework for postgresql (The db doesn't really matter except that I hope to use PL/R) and I would like to be able to predict future values preferable 1 day or more

Hello to everybody, Does anyone has implemented a function for evaluating models using windowing strategies, such as growing window or sliding window ones? The aim is to evaluate regression models on a time series data. I do not use cross-validation once data sorted in a radom way does not make sense when evaluating time series. Thanks Joao Moreira

Hi, i 'dont understand how to take a general formula, view this: x<-1:5 y<-c(0,1,1.7,2,2.1.4) dummy<-data.frame(x=x,y=y) formula<-"y~A*log(x)/log(2)" formu<-as.formula(formula) fm<-lm(formu,data=dummy) Error in eval(expr, envir, enclos) : Object "A" not found but A is the parameter of fitting, why is this?Thanks Ruben