similar to: Writing audio files (.wav) in a different directory

Hello Everyone, My name is Thomas and I have been using R for one week. I recently found your site and have been able to search the archives of posts. This has given me some great information that has allowed me to craft an initial design to an inquiry I would like to make into the breakdown of McNemar's test. I have read an intro to R manual and the posting guides and hope I am not violating

Hi all, I wrote a piece of code that generates simulated variables. after variable generation I use them in several analyzes. However, when I use a for to repeat the procedure 1000 times I get an erro message in one of the "for" steps, precisely at this time: gls.temp<- gls(y2 ~ x2,correlation=corExp(form=~coord2[,1]+coord2[,2])) # coord 2 are spatial coordinates and the error

Hi i use this into my extension : exten => _00339xxxxxxxx,1,Set(foo=${SIP_HEADER(To)}) exten => _00339xxxxxxxx,2,Set(cut1=${CUT(foo,:,2)}) exten => _00339xxxxxxxx,3,Set(CLI=${CUT(cut1,>,1)}) exten => _00339xxxxxxxx,4,Set(toexten=${CUT(CLI,@,1)}) exten => _00339xxxxxxxx,5,Noop(ORIGINAL NUMBER : [ ${toexten} ]) exten =>

Dear all, I need to do the same procedure on several files. But I don't know how to refer to the file name. Here is an example of what I am trying to do. List of files: file1(A,B,C, D1...Dn), file2(A,B,C,E1,...,En), file3(A,B,C,F1,...,Fn) Procedure I want to apply on each file: dft <- melt(df,id=c('A','B','C')) dft$X <- substr(dft$variable,1,3) dft$Y <-

Hi, I have collected data on trees from 5 forest plots located within the same landscape. Data within the plots are spatially autocorrelated (calculated using Moran's I). I would like to do a ANCOVA type of analysis combining these five plots, but the assumption that there is no autocorrelation in the residuals is obviously violated. Does anyone have any ideas how to incorporate these spatial

Hi, I have 35 data files for reading. I would like get a program for performing reading of 35 files at once. All are of the type: Dados1.raw, Dados2.raw and so on. If the files have the same number of columns, I can read with the following commands: rm(list=ls()) filenames = list.files(path="~/Silvano/Arq", pattern="Dados+.*raw") names = substr(filenames, 1, 7) for(i in

How to calculate sorensen (bray-curtis) distance by dist function within the vegan package? Cheers Duccio

Hi, I have a huge collection of 6-channel .wav files containing audio and sensor recordings, which I need to analyse, across all 6 channels. I'm thinking about what will be easier to do. 1. Just split the channels in an external audio-editor and than read each mono channel seperatly with readWave (from tuneR), or 2. inherite the readWave class and extend it to multichannel reading? What

Hi, I'm looking at the "cocktail party" classic problem. I can see how to use ICA to separate the components. But, How do I then create new wav files of the separated sounds so that they can be played? Thanks -- Noah Silverman UCLA Department of Statistics 8208 Math Sciences Building Los Angeles, CA 90095 [[alternative HTML version deleted]]

Hi, If I have a vector: junk <- c(2,0,0,3,0) and want to access, say, all the elements that are greater than zero. I just do: junk[which(junk>0)] Now, If I have a list: jlist <- list(NULL,c(1,0),NULL,c(1,2,3), NULL) and want to access all the elements that have length greater than zero, I know how to find the elements with: which(sapply(jlist,length)>0) But how do I get a

Hi, I'm having some troubles in using the ADE-4 package. I want to analyze data for the Outlying Mean Index in the function 'niche'. I've got two matrixes: one for environmental data and the other for species abundance data. But to implement the analysis, as I understand it, I need to put tocheger these two matrixes in one, as in the example provided with the package. Un

"Willmore, David (VS Central)" wrote: > > Can ogg22pl take input from standard in? Sometimes leaving the file name > off will default it to that or by putting a '-' as the file name. Similar > things go for standard out. (stop me if these aren't familiar terms) Ogg22pl is is ogg123 with only the sampling rate variable changed. So if ogg123 can do that,

Hi, I'm trying to set up a PDC using Samba on a Linux server. I need to the linux clients, using KDE desktop, log in the PDC using the KDE login box. I think I could use the 'winbindd' to do what I need but, I still have some questions: 1. Do I need to set up winbindd on each Linux client to log on the Linux PDC ? 2. Do I need to set up winbindd on the Linux PDC

Hi, I'm trying to use the function "error.bars", but the program don't find it, and I dont't found any package with this function. Is there some another functin to draw barplots with error bars? Sueli Rodrigues Eng. Agr?noma - UNESP Mestranda - USP/ESALQ PPG-Solos e Nutri??o de Plantas Fones (19)93442981 (19)33719762

Hi, I'm using latest Samba version 2.2.8a and are preparing a production server system, which was working fine recently in development stage. My system is basically a SuSE 8.2 Pro with some of the applications being installed manually from source. I'm using CUPS as printer backend and add printers to the system using lpadmin Afterwards I make a reload (or even a restart) of smbd and

Hello R-USERS, I think some people didn't understand my question. What I want is to use the training set to minimize the FALSE POSITIVE RATE. I think it is possible. I sacrifice ACCURACY to have less FALSE POSITIVES. I don't want a classifier result with 5% of FPR and, for example, 93% of ACCURACY. I want a 1% FPR sacrificing the 93% ACCURACY. Do you know how can I do this? I really

Dear R-users, I have a set of 12000 image samples. I can divide this set into two categories: training and testing. I need to classify the test set into a two qualitative outputs: true or false for some characteristic. To do the classification I'm using the packages SVM in e1071 library and LDA in the MASS library. However, I'm with a great number of FALSE POSITIVE CASES in both

Hi I have imported some files to a list, called "importa". There are 43 files (importa[1], importa[2], ..., importa[43]). Now, I'm trying to create a new table in "r". Each table will got the data from the importa partition. Like file1<-importa[1]. I tried two ways: c<-list() for (i in 1:43) { c[i]=paste("prova",a[i],sep="")} i <- 1 for (j in c)

Dear Guys, One of my customers ask me for a Wireless IP PBX, well the Asterisk fits IP PBX, But what about Wireless, ans also portable, a very special cutomer :) 1.-one possible solution is a PDA with one of those SIp softphones but VERY EXPENSIVE for the PDA 2.- a fxs channel bank and lots of Panasonic like wireless phone but the question is 1.- can my customer use all the features

MODEL class User < ActiveRecord::Base has_one :address, :dependent => :destroy accepts_nested_attributes_for :address end CONTROL def new @user = User.new @user.build_address # Adicionei ... VIEW partial _form .... <% f.fields_for :address do |b| %> # Adicionei <%= b.text_field :city_manual %> # Adicionei <% end %>