shaybensasson

clc
clear all;
close all;

%testing matlab script on github gist

shaybensasson

clc;
BIN_SIZE = 2
tempWinData = [1,2;2,4;3,6;4,8;5,10;6,12;7,14;8,2;9,1;10,NaN;10,5]
%tempWinData = [1,1;2,2;3,3;3,9];

times = tempWinData(:, 1);
vals = tempWinData(:, 2);
bins = times(1):BIN_SIZE:times(end);
[bincounts,binIndex] = histc(times(:,1),bins);
%insert any unbinned data to last bin

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% Authors
%   Reza Arfa <rezaarfa (at)gmail.com>
%
% License
%   The program is free to use for non-commercial and academic purposes.
%
% Changes
%   01/01/2013 (!)

clc; close all; clear all;

shaybensasson

a = [ 1 2 3 4' ];
b = padarray(a,[0 3], NaN, 'pre')
b = padarray(b,[0 4], NaN, 'post')

shaybensasson

%A=[5,8,16;4,1,8;-4,-4,-11]; %real eigvects

%http://math.mit.edu/~gs/linearalgebra/ila0601.pdf
A=[.8,.3;.2,.7];
[V,D] = eig(A);
[evals,idx] = sort(diag(D));
EigenValues = evals
evects = V(:,idx); 
EigenVects = evects

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load gong 
sound(y,Fs)

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% based on http://stackoverflow.com/questions/22792020/matlab-accumarray-weighted-mean
data = [10 1;30 1;20 2;30 1;20 4;20 6]

%{

data =

    10     1
    30     1
    20     2

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% see http://www.mathworks.com/matlabcentral/answers/68510-remove-rows-or-cols-whose-elements-are-all-nan

out = A(:,any(~isnan(A)));  % for columns
out = A(any(~isnan(A),2),:);   %for rows

shaybensasson

%% filter range of values
rawData = 1900:5:2100;

from = 1982;
to_excluded = 2015;

indexes = 1:length(rawData);
%declare indexes for the whole data range

filter = logical(rawData(:) >= from & rawData(:) < to_excluded);

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%% using reshape() to change a multi dimensional array into a smaller 
% dimension without loosing values

%vector into matrix 5x2 (rowxcol)
A = 1:10;
B = reshape(A,[5,2])

%reshape matrix to have 3 columns, discarding rows
A = magic(6);
B = reshape(A,[],3)