www.gusucode.com > mbc 工具箱 matlab 源码程序 > mbc/@mbcmodel/@localresponse/RestoreDataForTest.m
function L = RestoreDataForTest(L,TestNo, Indices, doUpdate) %RESTOREDATAFORTEST Restore data previously removed as outliers. % % RESTOREDATAFORTEST( LOCALRESPONSE, TESTNO, INDICES ) restores removed % data specified by INDICES in the test specified by TESTNO. % % RESTOREDATAFORTEST( LOCALRESPONSE, TESTNO ) restores all removed data % in the test specified by TESTNO. % % RESTOREDATAFORTEST( LOCALRESPONSE, TESTNO, INDICES, DOUPDATE ) restores % removed data specified by INDICES in the test specified by TESTNO. If % DOUPDATE is true all response feature models will be updated. If a % number of tests are being screened it is more efficient to set DOUPDATE % to false and call LOCALRESPONSE.UPDATERESPONSEFEATURES when all the % tests have been screened. % % Example. For a local response LOCALRESPONSE % % remove first two data points and do not update response features % RemoveOutliersForTest(LOCALRESPONSE,1,1:2,false); % % find list of indices of removed data points % indices = OutliersForTest(LOCALRESPONSE,1); % % restore first data point % RestoreDataForTest(LOCALRESPONSE,1,1,false); % % restore all data % RestoreDataForTest(LOCALRESPONSE,1,':',false); % % update response features % UpdateResponseFeatures(LOCALRESPONSE); % % See also mbcmodel.localresponse.UpdateResponseFeatures, % mbcmodel.localresponse.RemoveOutliersForTest, % mbcmodel.localresponse.OutlierIndicesForTest. % Copyright 2006-2010 The MathWorks, Inc. if nargin<4 doUpdate = true; end if nargin<3 Indices = ':'; end if strcmp(Indices,':') || all(ismember(Indices,OutlierIndicesForTest(L,TestNo))) % restore data L.Object=restoreoutliers(L.Object,TestNo,Indices); if doUpdate % update response features and other dependents L.Object = UpdateLinks(L.Object,3); else % set status to zero so users don't inadvertently rely on results L.Object = ClearLinks(L.Object); end end