bindata.m

Bins 2D data into desired (x1, x2) bins and returns arrays of mean/median + count within all bins
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Actualizado 20 ene 2017

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File takes array of z data on 2D (x1, x2) grid, bins it into user-input bins, and returns arrays of mean/median + count within all bins. Example file plots data using imagesc.
Note: binning is achieved via for loops and could probably be sped up via vectorization, though attempts to vectorize the code seemed not able to avoid some error in dealing with e.g. boundary values, NaN values, mismatches between input data and bin ranges etc. Also vectorization is easy for the mean but does not seem possible (as far as I could tell) if other summary statistics are desired (e.g. median, which is included in this code).

Citar como

Dan Chavas (2024). bindata.m (https://www.mathworks.com/matlabcentral/fileexchange/61225-bindata-m), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2015a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
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Versión Publicado Notas de la versión
1.2.0.0

Old files got uploaded somehow accidentally in previous update attempt.

1.1.0.0

Fixed bug in xdata and ydata, which were transposed (and thus were vectors of constant value). Updated example script to use an offset from (0,0) and bin widths not equal to one as a better test of the code.

1.0.0.0

Added comments to bindata.m, uploaded a picture
Elaborated on code construction and reasoning for using loops for binning despite it being slower than vectorized code.