tag:crantastic.org,2005:/authors/1145Latest activity for Tom Bloemberg2013-01-09T22:16:51Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/952052019-11-26T14:43:40Z2019-11-26T14:43:40Zptw was upgraded to version 1.9-15<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/90490">1.9-15</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported. A vignette for the latter is contained in the inst/doc directory of the source package - the vignette source can be found on the package github site.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/755612018-05-25T22:23:15Z2018-05-25T22:23:15Zptw was upgraded to version 1.9-13<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/72129">1.9-13</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/600772017-03-13T18:11:08Z2017-03-13T18:11:08Zptw was upgraded to version 1.9-12<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/57512">1.9-12</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/430972015-08-21T09:51:40Z2015-08-21T09:51:40Zptw was upgraded to version 1.9-11<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/42890">1.9-11</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/417732015-07-01T04:31:45Z2015-07-01T04:31:45Zptw was upgraded to version 1.9-10<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/41573">1.9-10</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/283472013-01-09T22:16:51Z2013-01-09T22:16:51Zptw was upgraded to version 1.0-5<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/24142">1.0-5</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/243522012-08-08T08:52:00Z2012-08-08T08:52:00Zptw was upgraded to version 1.0-4<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/20400">1.0-4</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/240342012-07-26T14:11:30Z2012-07-26T14:11:30Zptw was upgraded to version 1.0-3<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/20110">1.0-3</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/229892012-06-19T11:51:16Z2012-06-19T11:51:16Zptw was upgraded to version 1.0-2<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/19177">1.0-2</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/98972010-11-17T16:10:32Z2010-11-17T16:10:32Zptw was upgraded to version 1.0-1<a href="/packages/ptw">ptw</a> was <span class="action">upgraded</span> to version <a href="/packages/ptw/versions/9583">1.0-1</a><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/32792009-12-08T18:16:09Z2009-12-08T18:16:09Zcrantastic_production tagged ptw with TimeSeries<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/ptw">ptw</a> with <a href="/task_views/TimeSeries">TimeSeries</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/25832009-10-27T19:33:08Z2009-10-27T19:33:08Zptw was released<a href="/packages/ptw">ptw</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported. A vignette for the latter is contained in the inst/doc directory of the source package - the vignette source can be found on the package github site.</p>crantastic.org