search for: obain

Hi, I am looking for some generalization of colSums and rowSums for general vector valued functions, and for arrays of more than 2 dimensions. So as a concrete example, suppose I have a 3 dimensional array, given by x = array(1:100,c(3,4,5)). and I want to sum the 3rd index of x to obain a 3 by 4 matrix. Using rowSums would return a vector of length 3 because it treats the last two indices as a single index. Besides summation, let's say if I define a vector valued function f<-function(x){min(x[1],min(x[2],x[3]))}, and I want to apply f to the last index of x, meaning f...

Hello! There is something I really don't get: As I ordered a PRI ISDN line in Germany with DID, I had not to pay anything for a "DID number block", now I'm trying to get a PRI ISDN in the U.S. (CA) and SBC wants to charge more than 200 USD/month for numbers. I mean, this has nothing to do with DID, where everything that comes after the "base number" will be

Hello, I wonder if someone could send me suggestions on how to solve the following problem: I have a vector of an arbitrary size (ex. data<-c(10,10,11,10,12,11,10,12,11,11,10,11)) and use the table function, which gives the following result 10 11 12 5 5 2 that''s fine, but what I would like to do now is: construct new classes based on the number of classes from table, 10

The test is rather simple, and only compares the computed output values for a 1kHz signal at the known filter table sampling frequencies with previously obained golden values. As such, the test only verifies that the performance of the replay gain analyser has not changed. A better test would be to compare the computed value with an independently obtain theorectical value. This is possible by more judicious use of the loudness.sci script, combined with...