similar to: data mining

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

Deall all, We need to perform a statistical analysis of a large database (40,000 entries with approximately 500 fields in each entry) currently handled in Oracle. The data contains categorical variables only. At the current stage we suggest classification and clustering analysis. We are planning to perform the analysis in R and would be very grateful for any

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, 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

I'm trying to create figures in PDF that use the 'gray' colormodel instead of the default 'RGB' model, by requirements of a publisher. My problem has to do with the fact that I'm not being able to get gray colors with this option on the pdf() driver. Here is a small example for problem replication: > R.version _ platform

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 <-

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 =

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

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

I've come across the following error when using free scales with bwplot (I use a small example data set just to illustrate the problem): > d <- data.frame( x=c(34.4, 12.4, NA, 65.3, NA, 12.0, 45.0, 645.0, 644.0,323.0), fac1=c('a','a','b','a','b','a','a','c','c','c'),

Dear all, I'm having some problems with using the step() function inside another function. I think it is an environment problem but I do not know how to overcome it. Any suggestions are appreciated. I've prepared a simple example to illustrate my problem: > library(MASS) > data(Boston) > my.fun <- function(dataset) { + l <- lm(medv ~ .,data=dataset) + final.l <-

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

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 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

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

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

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

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

Dear all, I need some help. I have some problems trying to use the packages for linear programming. I've loaded the packages to R but when I try to use the function R sends an error warning. I don't know if something is missing This is what it shows > # Set up problem: maximize > # x1 + 9 x2 + x3 subject to > # x1 + 2 x2 + 3 x3 <= 9 > # 3 x1 + 2 x2 + 2 x3 <= 15 >

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