tag:crantastic.org,2005:/authors/1528Latest activity for Alexey Shipunov2020-03-18T15:23:38Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/1005202020-03-18T15:23:38Z2020-03-18T15:23:38Zshipunov was upgraded to version 1.7<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/95502">1.7</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode() which does multiple recoding in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; Biarrows() which converts any scatterplot into biplot, and Pleiad() which is fast and flexible correlogram. There are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/998282020-03-04T12:43:52Z2020-03-04T12:43:52Zshipunov was upgraded to version 1.6<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/94834">1.6</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/992242020-02-21T18:23:25Z2020-02-21T18:23:25Zshipunov was upgraded to version 1.5<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/94263">1.5</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/957022019-12-06T12:43:56Z2019-12-06T12:43:56Zshipunov was upgraded to version 1.4<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/90961">1.4</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/927812019-09-18T07:43:41Z2019-09-18T07:43:41Ztapkee was upgraded to version 1.1<a href="/packages/tapkee">tapkee</a> was <span class="action">upgraded</span> to version <a href="/packages/tapkee/versions/88232">1.1</a><br /><h3>Package description:</h3><p>Wrapper for using 'tapkee' command line utility, it allows to run it from inside R and catch the results for further analysis and plotting. 'Tapkee' is a program for fast dimension reduction, see 'package?tapkee' and <http://tapkee.lisitsyn.me/> for installation and other details.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/927802019-09-18T05:03:30Z2019-09-18T05:03:30Zshipunov was upgraded to version 1.3<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/88231">1.3</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/894982019-06-12T05:23:01Z2019-06-12T05:23:01Zshipunov was upgraded to version 1.2<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/85089">1.2</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/880622019-05-06T21:03:08Z2019-05-06T21:03:08Zshipunov was upgraded to version 1.1<a href="/packages/shipunov">shipunov</a> was <span class="action">upgraded</span> to version <a href="/packages/shipunov/versions/83739">1.1</a><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/867252019-04-01T08:42:55Z2019-04-01T08:42:55Zshipunov was released<a href="/packages/shipunov">shipunov</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode() which does multiple recoding in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; Biarrows() which converts any scatterplot into biplot, and Pleiad() which is fast and flexible correlogram. There are much more useful functions, please see documentation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/866542019-03-29T15:43:12Z2019-03-29T15:43:12Ztapkee was released<a href="/packages/tapkee">tapkee</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Wrapper for using 'tapkee' command line utility, it allows to run it from inside R and catch the results for further analysis and plotting. 'Tapkee' is a program for fast dimension reduction, see 'package?tapkee' and <http://tapkee.lisitsyn.me/> for installation and other details.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/265782012-11-02T06:31:49Z2012-11-02T06:31:49Zsmirnov was upgraded to version 1.0-1<a href="/packages/smirnov">smirnov</a> was <span class="action">upgraded</span> to version <a href="/packages/smirnov/versions/22474">1.0-1</a><br /><h3>Package description:</h3><p>This tiny package contains one function smirnov() which calculates two scaled taxonomic coefficients, Txy (coefficient of similarity) and Txx (coefficient of originality). These two characteristics may be used for the analysis of similarities between any number of taxonomic groups, and also for assessing uniqueness of giving taxon. It is possible to use smirnov() output as a distance measure: convert it to distance by "as.dist(1 - smirnov(x))".</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/95672010-10-27T11:21:40Z2010-10-27T11:21:40Zsmirnov was released<a href="/packages/smirnov">smirnov</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>This tiny package contains one function smirnov() which calculates two scaled taxonomic coefficients, Txy (coefficient of similarity) and Txx (coefficient of originality). These two characteristics may be used for the analysis of similarities between any number of taxonomic groups, and also for assessing uniqueness of giving taxon. It is possible to use smirnov() output as a distance measure: convert it to distance by "as.dist(1 - smirnov(x))".</p>crantastic.org