similar to: ClustPlot question

How can I control de "wrap-around" color behaviour in the persp function ? I am using something like : persp(bb[1:100,2:97], col= rainbow(8,start=0.1, end=0.8))) Depending on the rainbow length value I get several "wrap-around" blocks of the selected color range...something that I wanted to avoid... My idea is to use the color in order to make a separation from a certain

I have "small" problem ... with the cluster library each time I try to use the "agnes","pam","fanny" functions with more than 20000 elements I get the following error: >Error in vector("double", length) : negative length vectors are not allowed >In addition: Warning message: >NAs introduced by coercion But with the clara

Hi all. I do not know if it is a bug in the windows version but i have this problem. Reading a file with 200000 rows, 2 columns and transforming into a 200000 x 2 matrix. If I try to find an element by using the which command which gives some correct indexes plus some others passing the 200000 row boundaries. If I try to reach those "outbound" indexs I get an "Error: subscript out

I know this is going to be a dumb question but... I need a cube like struture , I have 3 dimensions well defined which I need to define a value in the cube something like Cube [][][] in C+ ou Java ... I have thought in making a matrix and then an array... and even the other way around. The problem is that the I have the indexs and wanted to access direcly the element both reading or writing

I was thinking the last few days, wouldn't it be better to divide the centos-announce list by the archs, so that if I'm interested in the i386 arch, I only get those, and not the ia64, or the s390. Just a thought. -- 21:50:04 up 2 days, 9:07, 0 users, load average: 0.92, 0.37, 0.18 --------------------------------------------------------- Lic. Mart?n Marqu?s | SELECT

Dear R users, I'd like to ask u whether you know how to sort out the following: I'm trying to reproduce a dataset of clusters, and for that I need to build up a cluster index (inside a function) using the command "replicate" as follows: dataset<- function( clusters=100, cluster.size=50, outcome.mean=list(mean=3, sd=1), outcome.var=list(mean=0, sd=1), treat=1, unbal =

Hi R, Does 'savePlot' will not work in the batch mode? I get the below error: > x=c(1,2,3,4,5,6,7) > hist(x) > savePlot("D:\\Test\\histo",type="jpeg") Error in savePlot("D:\\Test\\histo", type = "jpeg") : can only copy from 'windows' devices Execution halted The same works in the interactive mode. What

Dear list, I have two dissimilarity matrices, one for a training data set which I then clustered using PAM. The second is a diss matrix for a validation data set (an independent field sample). I have been trying to use knn to distinguish distances between the validation data set and the 6 mediods of the training data defined by using PAM. I continue to get error messages in regards to either the

Hi, I recently encountered an error using the command "savePlot" when trying to save the third of 3 open graph windows. After successfully saving and closing the first two windows I receive an "Invalid device number in savePlot" error. The following is copied and pasted from an example session to illustrate the behaviour: > windows() > hist(rnorm(100)) > windows()

Hello, in my database i have tables models,marques,cars. I wrote fixtures for models f1: id: 1 marque_id: 1 name: 100 NX f2: id: 2 marque_id: 1 name: 200 SX f3: id: 3 marque_id: 1 name: Almera f4: id: 4 marque_id: 1 name: Patrol f5: id: 5 marque_id: 1 name: Primera f6: id: 6 marque_id: 2 name: CLK f7: id: 7 marque_id: 2 name: CLS f8: id: 8 marque_id:

Hello, The following code does'nt work for me. The last command reports an error. I have created a consensus tree using the consensus comand from phylo but cannot manipulate the phylo object afterwards to create a dendogram , by transforming the phylo object into a hclust object and then into a dendogram ?? Thanks for any help library(ade4) library(cluster) library(stats) library(ape)

Hello everyone I tried to use clust function using "hclustWard" clustering method The distance mesaured I have used is "rf" The data used is in the form of data frame (it is not a distance matrix) - sd.df The piece of code I have used is: c1 <- clust(sd.df,k=6,method="hclustWard",distMethod="rf") But I get the following error message, Error in if (n

I apologise, I asked about exporting graphs and said I could not find it. Well I did, saveplot. my apologies. >From Alberto Nettel's Desk University of Calgary Math & Stats Department. Room 346, ext 7199 E-mail: nettel at math.ucalgary.ca

Today I upgraded my Debian testing server (just personal testing server), and one of the updates was dovecot-common and dovecote-imapd. I passed through the dovecot.conf file changing things so that I would have similar features as before, and everything looked OK. Now, after restarting, and all, I try to connect the the imap server with my user acount, and it passes OK, but when I try to see

Here's a fairly minimal-case example in which the saved EPS does not match the screen. The error comes when using bquote(.(i)) instead of bquote(1), as demonstrated by the two minimally different cases below. Very strange. Any clues as to why? #---------------- begin ------------------- # Version A. X axis labels have subscripts as constants. EPS is correct. windows() layout( matrix( 1:2 ,

Recently working with strings and data I have found a small problem. Windows XP R 1.8.1 Reading data from a "txt file" with readLine. finding a specific line with "grep" command, all OK. but here comes the problem... After finding the correct line(s) i need to find a substring inside each string. In this case "tabs" I think it represented by "\t" in the

Hi R-helpers I have a dataframe DF (lets say with the variables, y, x1, x2, x3, ..., clust) containing relatively many NAs. When I fit an ordinal regression model with the function lrm from the Design library: model.lrm <- lrm(y ~ x1 + x2, data=DF, x=TRUE, y=TRUE) it will by default delete missing values in the variables y, x1, x2. Based on model.lrm, I want to apply the robust covariance

I just migrated my FC4 server to CentOS 5 and had some problems with DB connections from PHP to a PG server (remote server). The thing is that I couldn't get an error, until I disabled SELinux. At that time, the PG connections started working. Are there any instructions on how to work with SELinux enabled and multiple applications connecting one with another? -- select

Will there be any betas of centos 5? Or should we test the RHEL5 betas? -- 21:50:04 up 2 days, 9:07, 0 users, load average: 0.92, 0.37, 0.18 --------------------------------------------------------- Lic. Mart?n Marqu?s | SELECT 'mmarques' || Centro de Telem?tica | '@' || 'unl.edu.ar'; Universidad Nacional | DBA, Programador, del

i want to save plots in batch mode(100 plots in single code) in resizable mode which format should i use,i m working on windows > savePlot("zatka",type="pdf",device=dev.cur()) Error in savePlot("zatka", type = "pdf", device = dev.cur()) : can only copy from 'windows' devices -- View this message in context: