similar to: Writing out csv files

Hi everybody, We have FLAC supported for input/output in REAPER (http://www.reaper.fm), and the problem is that when writing 24 bit FLAC files, the data isn't compressed (i.e. the FLAC is slightly larger than if it was writing to .WAV). The files play back fine, however, and 16 bit mode works great. We're using flac-1.1.2, built on win32 with MSVC6 w/ SP5 + VCPP, and NASM version 0.98.39

Hi, I would appreciate if somebody could help me with following calculation. I have a dataframe, by 10 minutes time, for mostly one year data. This is small example: > dput(test) structure(list(jul = structure(c(14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655), origin = structure(0, class = "Date")), time =

Hi, suppose I have a matrix (or dataframe) as a result from subsetting. mat <- matrix(1:20,ncol=2) mat[c(3,6,9),] <- NA cc <- complete.cases(mat) sub <- mat[cc,,drop=FALSE] sub <- sub * 2 #some caluculations with sub. now I would like to expand sub somehow so row 3,6, and 9 would be filled with NAs but the rest should be in place again. Is there a simple function for this?

hi all, sorry for this basic question, I think I know I should use ?apply, but it is really confusing me... I want to create a matrix by comparing two vectors. Eg: test<-seq(1:10) fac<-c(3,6,9) and i want to end up with a 10*3 matrix with a boolean that tests if test<fac, so something like: 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 I can't find the solution

Hi all, I'm learning R. I'm used to Matlab and am having the following issue: I define a column vector and matrix and then multiply them. The result is not what I expect: v2 <- c(0,1,0) M <- cbind(c(1,4,7),c(2,5,8),c(3,6,9)) M*v2 [,1] [,2] [,3] [1,] 0 0 0 [2,] 4 5 6 [3,] 0 0 0 I expect the result to be a column, specifically the 2nd column of M.

Hi all: Thanks in advance for your assistance. I just started learning R. I'm trying to use the Help and the downloadable manuals. I am stuck on trying to multiply matrices. Can anyone please supply a couple of lines of code that I can plug into a fresh console to see how a double precision (1x3) matrix is multiplied by a double precision (3x3) matrix? I keep getting an error

Hello useRs, I'd like to perform a moving average on the dataset, xx. I've tried combining the functions Reduce and rollmean but it didn't work. > r <- function(n) rollmean(n, 2) # where 2 = averaging interval > output < - Reduce("r", x) Error in f(init, x[[i]]) : unused argument(s) (x[[i]]) Is there anything wrong with the code in the first place? where

Hi all: I have a question about the sample size calculation. It's a pilot study,which includes 2 groups(low,high),3 time point(3,6,9 monthes).Each person has 3 results which according to the 3 time points.So it's a longitudinal study. I want to calculate the minimum sample size from the pilot study, but can't find the solution since the data is highly skewed and it's a

Hi there I am trying to learn how to compute mle in R for a multinomial negative log likelihood function. I am using for this the book by B. Bolker "Ecological models and data in R", chapter 6: "Likelihood an all that". But he has no example for multinomial functions. What I did is the following: I first defined a function for the negative log likelihood:

Hi there, I would like to write a data output. In first time, a data frame (called "res") is written in a file *csv such as: A B C # names of data 1.5 4.5 7 # values So I use "write.table" which prints "res" to a file "file.csv" write.table(res,file="file.csv",sep="",row.names=TRUE,col.names=TRUE,eol = "\n")

Hello, I need to convert dataframe from: ID T0 T1 T2 A 1 2 3 B 4 5 6 C 7 8 9 to: ID Variable Value A T0 1 A T1 2 A T2 3 B T0 4 B T1 5 B T2 6 C T0 7 C T1 8 C T2 9 i tried to use melt cast but it gives me all the time not exactly what I need. Thank

Dear R users, Just wondering how to extract clustered data in a file. More precisely after running any clustering algorithms, you get information about the clusterd vectors. I want to save that data after clustering is done in the same order as the clusters are produced. How can I do that After runining algorithms you get information which vectors are clustered. for example, after running pam you