tag:blogger.com,1999:blog-8038282409131484088.post1021839958511040888..comments2023-12-27T06:44:43.826-08:00Comments on Doofus Software: Measuring effect size with the Vargha-Delaney A measureAnonymoushttp://www.blogger.com/profile/09148162049891344923noreply@blogger.comBlogger6125tag:blogger.com,1999:blog-8038282409131484088.post-71663639382232370172019-12-07T09:40:25.180-08:002019-12-07T09:40:25.180-08:00yesyesAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-8038282409131484088.post-40431487513621250022019-09-28T05:47:56.651-07:002019-09-28T05:47:56.651-07:00aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaAnonymoushttps://www.blogger.com/profile/10588955320325312376noreply@blogger.comtag:blogger.com,1999:blog-8038282409131484088.post-4004546983330706062016-07-11T11:50:32.326-07:002016-07-11T11:50:32.326-07:00Hello. I write this in hope someone might resolve ...Hello. I write this in hope someone might resolve this doubt. What happens if I'm comparing two conditions of an experiment where the condition that performs better should get a negative value? In other words, I want to see which condition has performed better in giving results with smaller values. In this case, shouldn't the resulting A measure be smaller for the group that performs better?<br /><br />CheersAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-8038282409131484088.post-81661849151532876192014-05-21T05:18:57.539-07:002014-05-21T05:18:57.539-07:00This is a nice intro to V&D A measure.
The me...This is a nice intro to V&D A measure.<br /><br />The measure is currently implemented in the effsize R package.<br /><br />Just a minor comment. The original formula from V&D may introduce some accuracy error, a better formulation is:<br /><br />A = (2* r1 - m*(m+1))/(2*m*n) <br /><br />For more details see http://mtorchiano.wordpress.com/2014/05/19/effect-size-of-r-precision/<br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-8038282409131484088.post-55759280397602891982013-05-04T19:34:44.779-07:002013-05-04T19:34:44.779-07:00Hello, in your R code, you refer to the rank sum c...Hello, in your R code, you refer to the rank sum computation as eq. 13 from Vargha-Delaney... It's not. Eq. 13 shows the relationship between the rank-sum and the A measure, leading to eq. 14. Your code is correct, only the reference to eq. 13 may be confusing.AbedSayyadhttps://www.blogger.com/profile/07818397052503090212noreply@blogger.comtag:blogger.com,1999:blog-8038282409131484088.post-49073472310186654542013-01-22T02:44:04.803-08:002013-01-22T02:44:04.803-08:00Greetings, is this your one and only site or you p...Greetings, is this your one and only site or you personally own some others?Blog PerfectFlawlesshttp://perfectflawless.wordpress.com/noreply@blogger.com