search for: uprm

Hi, I have the following script: ---- t.R --- grafica <- function() { v <- read.csv('preprocessed/komolongma.ece.uprm.edu.active',sep=',') x <- as.ts(v$active) bitmap(file="output.png") densityplot(~x,col='blue',main='Density Plot') dev.off() } grafica() ---- t.R --- When I "sourced" it from R prompt, it quietly runs. However the "output.png&quo...

Subject: Eliminate repeated components from a vector X-Mailer: VM 7.00 under 21.4 (patch 6) "Common Lisp" XEmacs Lucid Reply-To: fjmolina at lbl.gov FCC: /home/f/.xemacs/mail/sent Does anyone know how I can eliminate repeated elements from a vector?

...nks in advance. "To learn is a natural pleasure" - Aristotle ------------------------------------------------------------------- Kennie J. Cruz Gutierrez, Student Department of Mathematics, U of Puerto Rico [Mayaguez Campus] Work Phone: (787) 832-4040 x 3798 Email: Kennie.Cruz at ece.uprm.edu Web: http://ece.uprm.edu/~kennie

...- Aristotle ------------------------------------------------------------------- Kennie J. Cruz Gutierrez, System Administrator Department of Electrical and Computer Engineering University of Puerto Rico at Mayaguez Work Phone: (787) 832-4040 x 3798 Email: Kennie.Cruz at ece.uprm.edu Web: http://ece.uprm.edu/~kennie

...#39;,'.png',sep='') bitmap(file=filename) title <- paste('Autocorrelation Function',' for ',server,'[',status,']',sep=' ') acf(x,lag.max=par2,main=title) grid() dev.off() } summary(x); } servers <- c("komolongma.ece.uprm.edu","sakura.hpcc.jp","fsvc001.asc.hpcc.jp","rocks-52.sdsc.edu","rocks-153.sdsc.edu") status <- c("unsubmitted","active","pending") for (i in servers) { for (j in status) { totalgraphics(i,j) } } [[alternat...

Hi, I would like to find some methods about feature selection, but I only know the package "randomForest" after searching for a while. Could you recommend some other packages of feature selection? Thank you very much. Sincerely yours, Chad Yang. ==========================================================

Hello, I want to do feature selection for classification purpose (using lda). Can someone point me to any R package or S-plus package for this? Something like SFS or SFFS method would be useful for me. Thanks. Raj [[alternative HTML version deleted]]

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 all, I originally posted this to the bioconductor group, but maybe it's better suited to the r-help... I'm using som() to partition samples of gene expression data into clusters. The point is to classify control vs. experimental cases (sample clustering). The original matrix was 22283 x 8. The 8 samples have 4 controls and 4 experimentals. I transposed the matrix so that its dim

Hello, Does anybody know if the outscale option of randomForest yields the standarized version of the outlier measure for each case? or the results are only the raw values. Also I have notice that this measure presents very high variability. I mean if I repeat the experiment I am getting very different values for this measure and it is hard to flag the outliers. This does not happen with two other

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.

Hello All, I am trying to carry out variable reduction. I do not have information about the dependent variable, and have only the X variables as it were. In selecting variables I wish to keep, I have considered the following criteria. 1) Percentage of missing value in each column/variable 2) Variance of each variable, with a cut-off value. I recently came across Weka and found that there is an

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 tcl/tk (active

hi, I wrote a set of R functions for estimating what is the probability function that best fits a set of data. I wrote them based in this response: /http://tolstoy.newcastle.edu.au/R/help/03b/1714.html/ I extracted the relevant segment of the link above: //> PPCC <- function(shape, scale, x) { # only for weibull / + x <- sort(x) + pp <- ppoints(x) + cor( qweibull(pp, shape=shape,

When compiling the software it breaks with an error on the cipher.c file. Lot's of warnings and error of undeclared stuff. Snippet follows: gcc -g -O2 -Wall -Wpointer-arith -Wno-uninitialized -I. -I. -I/usr/local/ssl/include -Iyes -I/usr/local/include -DSSHDIR=\"/etc\" -D_PATH_SSH_PROGRAM=\"/usr/bin/ssh\"