I have a matrix of values... for exemple the matrix could be 100 rows and 50 columns... I would like to resample the matrix to obtain a new matrix -> a 10x5 matrix So i need to calculate a new value for every cell, i would like to use a weightened mean to do this. I explain this thing better: In the exemple the original matrix would be divided into 50 partial-matrix, for every partial-matrix should be extracted a value obtained from a weightened mean: the cell at center of the partial-matrix should have the max importance into the mean, the fhurter cell should have the lower importance (something like a gaussian shape, where i can decide the sigma used).... In this way i'll obtain a resampled matrix with the values calculated using a weightened mean of the single partial-matrix...
Is there anybody who can suggest me a way to do this??? is there a function that can do this? PS: sorry for my english... and... im a newbie, please try to explain in a simple way.. thank you Luca Penasa, geology student, University of Padua, Italy -- Email.it, the professional e-mail, gratis per te: http://www.email.it/f Sponsor: In REGALO 'All the Good Thing' di NELLY FURTADO Clicca qui: http://adv.email.it/cgi-bin/foclick.cgi?mid=6617&d=12-11 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
