www.gusucode.com > mbc 工具箱 matlab 源码程序 > mbc/@mbcmodel/@response/RemoveOutliers.m
function R = RemoveOutliers(R, varargin) %REMOVEOUTLIERS Refit models after removing outliers. % % REMOVEOUTLIERS(RESPONSE,SELECTIONCRITERIA) % % SELECTIONCRITERIA can either be sets of indices, or a function name. An % outlier selection function must take the following form: % INDICES = MYMATLABFILE(MODEL, DATA, FACTORNAME); % The factors are the same as defined in DiagnosticStatistics. DATA % contains the factors as columns of a matrix FACTORNAME is a cell array % of the names for each factor. % % See also mbcmodel.abstractresponse.OutlierIndices, % mbcmodel.response.RestoreData % Copyright 2004-2010 The MathWorks, Inc. % . % Note it is also possible to use a special array to do standard types of % outlier removal (available from popmenus in model browser dialog). This % option is not documented because of its complexity try RemoveOutliers(R.Object, varargin{:}); catch error(message('mbc:mbcmodel:response:UnknownError')); end