search for: dprep

When I want to install "dprep" and I always get information: > install.packages("dprep") Warning in install.packages("dprep") : argument 'lib' is missing: using 'C:\Users\Documents/R/win-library/2.8' --- Please select a CRAN mirror for use in this session --- Warning message: packa...

Hi! I want to use one method "combinations" from "gtools" package but in my code I must use also "dprep" method where is method "combinations" too. Mayby I show you result my help function: Help on topic 'combinations' was found in the following packages: Package Library dprep /usr/lib64/R/library gtools /usr/lib64/R/libra...

Hi. The dprep library has at least three different methods for outlier detection: baysout, mahaout, robout. I wanted to test them on a very simple data set: vrmat<-cbind((1:22),c(8,14,14,17,21,20,27,23,25,33,31,32,30,36,37,40,42,44,52,61,81,265)) As you can see by eyeballing this, the last point is a very...

Full_Name: Kang Yousan Version: 2.5.0 OS: Windows XP Submission from: (NULL) (211.137.211.67) There is a bug in function distancia() in package dprep. See the description below. > distancia 1 function (x, y) 2 { 3 if (class(y) == "matrix") { 4 distancia = drop(sqrt(colSums((x - t(y))^2))) 5 distancia = t(distancia) 6 } 7 else distancia = sqrt(sum((x - y)^2)) 8 distancia 9 } The t(y) in line...

...e of Weka through R. Weka provides a "Genetic search" variable reduction method, but I could not find its R code implementation in the RWeka Pdf file on CRAN. I looked for other R packages that allow me to do variable reduction without considering a dependent variable. I came across 'dprep' package but it does not have a Windows implementation. Moreover, I have a dataset that contains continuous and categorical variables, some categorical variables having 3 levels, 10 levels and so on, till a max 50 levels (E.g. States in the USA). Any suggestions in this regard will be much ap...

Hey, I'm looking for a function which provides a supervised Fayyad & Irani discretization (MDL). I've already found RWeka which has such a function. But is there anything else? I'd prefer to use sth lighter in my own package. Regards, Peter

Hi, I am doing some research on feature selection for classfication problem using genetic algorithm in a wrapper approach. I am wondering if there is some package which is already built for this purpose. I was advised before about dprep package but I don't think it used GA there (if I am wrong, please correct me!) Thanks, Ed

...WORK(LYH), NYH, RWORK(LYH), RWORK(LEWT), 1 lsodes.f:3468: (continued): CALL DSTODE (NEQ, Y, RWORK(LYH), NYH, RWORK(LYH), RWORK(LEWT), 2 Argument #10 of `dstode' is one type at (2) but is some other type at (1) [info -f g77 M GLOBALS] lsodes.f: In subroutine `dprep': lsodes.f:4980: warning: CALL DPREP (NEQ, Y, RWORK(LYH), RWORK(LSAVF), RWORK(LEWT), 1 lsodes.f:5412: (continued): SUBROUTINE DPREP (NEQ, Y, YH, SAVF, EWT, FTEM, IA, JA, 2 Argument #10 (named `iwk') of `dprep' is one type at (2) but is...

Dear useRs, I use dics.ef function from dprep package to discretize continuous variable using intervals of equal frequencies. Dataset to be discretized include 4 continuous and 2 discrete variables in the following order: Continuous Countinuous Countinuous Discrete Discrete Continuous The problem emerge when I try to discretize the last co...

...through all the many different variables of the datasets using mean or mode for each, but I was wondering if there was a faster way, or if a package existed to automate this (by doing 'mode' if it is a factor or character or 'mean' if it is numeric)? I have tried the package "dprep" because I wanted to use the function "ce.mimp", btu unfortunately it is not available anymore. Thank you for your help, -francy

...8.8.1 locale: en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] "stats" "graphics" "grDevices" "utils" "datasets" "methods" "base" other attached packages: randomForest dprep "4.5-18" "1.0" > version _ platform i386-apple-darwin8.8.1 arch i386 os darwin8.8.1 system i386, darwin8.8.1 status major 2 minor 4.1 year 2006 month 12 day 18 svn...

Hello, One of my students is building a visual environment for the package dprep developed by my research group at the University of Puerto Rico. The environment will be in the style of the Orange (specifically channels and tokens design) and Weka (specifically Knowledge flow environment) machine learning/data mining software. She is using only the tools provided by t...

...xtreme spread of a group of points given their (x,y) coordinates. Extreme Spread is the maximal Euclidean distance between two points in a group ex.spread = max{ sqrt [ (xi-xj)^2 - (yi-yj)^2 ] } for i not equal to j I have 60 levels to apply this to. There is the combination function in the dprep package but I wasn't sure how to use this or apply an index the points in each group. Any ideas? Steve Steven Matthew Anderson AdAstra69 at mac.com Ad Astra per Aspera

...rable cost. R-devel will shortly use long doubles for critical intermediate results and iterative refinement for calculations of means. This may be slower but it would be an extreme case in which the speed difference was detectable. Higher accuracy has a cost too: there are several packages (dprep and mclust are two) whose results are critically dependent on fine details of computations and will for example infinite-loop if an optimized BLAS is used on AMD64. The choice of algorithms in R is an eclectic mixture of accuracy and speed. When (some of) R-core decided to make use of a BLAS...

hello, are there functions to detecte outlying observations in samples? thanks. ___________________________________________________________________________ [[alternative HTML version deleted]]

...er changing the R headers.) 1) One common error message is An integer constant expression is required within the array subscript operator. Here is an example: double data[(*nrow)+2*env][(*ncol)+2*env]; This affects at least packages GammaTest MCMCpack MasterBayes clusterSim dprep edci epsi knnFinder pbatR rmetasim zicounts 2) Including C header files is fraught with difficulties. Unfortunately that includes the R header files, because they in turn include system C headers. The checking of which features were available was done using the C compiler with particular fl...

Dear all, I got this error message > library(dprep) > mardia(Savg) Error in cov(data) : 'x' is empty But with the same data, I got > library(mvnormtest) > mshapiro.test(Savg) Shapiro-Wilk normality test data: Z W = 0.9411, p-value = 0.6739 What does the error message "Error in cov(data) : 'x' is empty&q...