Mercurial > hg > ltpda
diff m-toolbox/classes/@ao/mean.m @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/m-toolbox/classes/@ao/mean.m Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,100 @@ +% MEAN computes the mean value of the data in the AO. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% +% DESCRIPTION: MEAN computes the mean value of the data in the AO. +% The uncertainty is evaluated as the standard deviation of the mean. +% +% CALL: ao_out = mean(ao_in); +% ao_out = mean(ao_in, pl); +% +% <a href="matlab:utils.helper.displayMethodInfo('ao', 'mean')">Parameters Description</a> +% +% VERSION: $Id: mean.m,v 1.49 2011/04/19 18:48:11 ingo Exp $ +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function varargout = mean(varargin) + + % Check if the method was called by another method + callerIsMethod = utils.helper.callerIsMethod; + + % Settings + operatorName = 'mean'; + dxFcn = []; + + if callerIsMethod + in_names = {}; + else + % Collect input variable names + in_names = cell(size(varargin)); + for ii = 1:nargin,in_names{ii} = inputname(ii);end + end + + % Here we are forced to collect objects so that we can check that each ao + % is the correct type for doing diag. + as = utils.helper.collect_objects(varargin(:), 'ao', in_names); + + % We filter out the data3D objects here since we don't know what to do + % with them so far. + aos = []; + for kk=1:numel(as) + if isa(as(kk).data, 'data3D') + warning('!!! Skipping ao [%s] - %s can''t operate on data3D objects at the moment.', as(kk).name, operatorName); + else + aos = [aos as(kk)]; + end + end + if isempty(aos) % try for getInfo + out = ao.applymethod(0, callerIsMethod, in_names, operatorName, dxFcn, @getInfo, @getDefaultPlist, varargin{:}); + varargout{1} = out; + return + end + + % Apply method to all AOs + nAos = numel(aos); + n = zeros(nAos,1); + dy= zeros(nAos,1); + for ii=1:nAos + n(ii) = numel(aos(ii).data.y); + dy(ii) = std(aos(ii).y)/sqrt(n(ii)); + end + + copyObjects = nargout>0; + [bs, pl] = ao.applymethod(copyObjects, callerIsMethod, in_names, operatorName, dxFcn, @getInfo, @getDefaultPlist, varargin{:}); + + if isa(bs, 'ao') + bs = fixAxisData(bs, pl); + for ii=1:numel(bs) + bs(ii).setDy(dy(ii)); + end + end + + % set outputs + varargout = utils.helper.setoutputs(nargout, bs); + +end + +%-------------------------------------------------------------------------- +% Get Info Object +%-------------------------------------------------------------------------- +function ii = getInfo(varargin) + ii = minfo.getInfoAxis(mfilename, @getDefaultPlist, varargin); +end + +%-------------------------------------------------------------------------- +% Get Default Plist +%-------------------------------------------------------------------------- + +function plout = getDefaultPlist(set) + persistent pl; + persistent lastset; + if ~exist('pl', 'var') || isempty(pl) || ~strcmp(lastset, set) + pl = buildplist(set); + lastset = set; + end + plout = pl; +end + +function plout = buildplist(varargin) + plout = plist.getDefaultAxisPlist(varargin{:}); +end