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51 lines
2.8 KiB
Matlab
51 lines
2.8 KiB
Matlab
% SP_QUANTILE sparse quantile, just make a fast guess of the quantile value
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% on a downsampled array. Useful for estimation of the optimal imagesc
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% limits
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%
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% Qval = sp_quantile(array,quantile,reduce)
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%
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% Inputs:
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% **array - inputs ndim array
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% **quantile - number or vector from 0 to 1 denoting quantiles
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% **reduce - use every n-th element for calculation
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% *returns*:
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% ++Q - scalar or vector of quantiles of the reduced array
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%*-----------------------------------------------------------------------*
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%| |
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%| Except where otherwise noted, this work is licensed under a |
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%| Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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%| International (CC BY-NC-SA 4.0) license. |
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%| |
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%| Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch) |
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%| |
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%| Author: CXS group, PSI |
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%*-----------------------------------------------------------------------*
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% You may use this code with the following provisions:
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%
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% If the code is fully or partially redistributed, or rewritten in another
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% computing language this notice should be included in the redistribution.
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%
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% If this code, or subfunctions or parts of it, is used for research in a
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% publication or if it is fully or partially rewritten for another
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% computing language the authors and institution should be acknowledged
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% in written form in the publication: “Data processing was carried out
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% using the “cSAXS matlab package” developed by the CXS group,
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% Paul Scherrer Institut, Switzerland.”
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% Variations on the latter text can be incorporated upon discussion with
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% the CXS group if needed to more specifically reflect the use of the package
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% for the published work.
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%
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% A publication that focuses on describing features, or parameters, that
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% are already existing in the code should be first discussed with the
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% authors.
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%
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% This code and subroutines are part of a continuous development, they
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% are provided “as they are” without guarantees or liability on part
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% of PSI or the authors. It is the user responsibility to ensure its
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% proper use and the correctness of the results.
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function Qval = sp_quantile(x,q,reduce)
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x = x(1:reduce:end);
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Qval = quantile(x,q);
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end |