Picking data from a large data file
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Hi there
I was wondering if there is an algorithm to pick random data from a large matrix (2000*3). Lets say I want output (with 3 columns) which have every 10th row of my matrix. I want to keep number of columns same. I tried this by a fellow but unable to get same number of columns. for example
mat = rand(randi([3 3]), randi([3 3]))
x_every5th=x(10:10:numel(x));
x_every10th=x(20:20:numel(x));
x_every20th=x(50:50:numel(x));
column 1 is lat 2 is lon and z is gravity value. Is it also possible to set a region by defining lat lon and pick every 20th and in same matrix set a region to pick every 5th point.
would be looking for people like image analyst to help with it :)
Thanks Also if I want to define change selection with in the matrix (lets say for values between
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