tag:blogger.com,1999:blog-590043897961646114.post6218086315794099504..comments2024-02-06T02:06:06.364-08:00Comments on Engaging Market Research: Using Biplots to Map Cluster SolutionsUnknownnoreply@blogger.comBlogger4125tag:blogger.com,1999:blog-590043897961646114.post-11426455305493921672014-08-02T11:15:56.330-07:002014-08-02T11:15:56.330-07:00No, but I visited using your link. We are not able...No, but I visited using your link. We are not able to speak of the complexities of the taste experience until we are provided the vocabulary. Thanks.Joel Cadwellhttps://www.blogger.com/profile/14946447393733294251noreply@blogger.comtag:blogger.com,1999:blog-590043897961646114.post-33002996453835321882014-07-08T03:03:28.774-07:002014-07-08T03:03:28.774-07:00I can well believe it! Thanks for the tip about Bi...I can well believe it! Thanks for the tip about BiplotGUI, I'll have a look.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-590043897961646114.post-2381164933985704912014-07-05T11:05:10.946-07:002014-07-05T11:05:10.946-07:00It can get a little cluttered with 86 points and 1...It can get a little cluttered with 86 points and 12 vectors on the same plot, especially if one labels the points. Separating the two plots, as FactoMineR does by default, is one solution. The BiplotGUI R package takes a different approach. It places both rows and columns on the same plot as points and vectors. Then, it allows you to interact with the plot by highlighting specific columns or points and seeing only those relationships. It all depends on your preference and intent.Joel Cadwellhttps://www.blogger.com/profile/14946447393733294251noreply@blogger.comtag:blogger.com,1999:blog-590043897961646114.post-1534701666739239322014-07-04T06:05:00.202-07:002014-07-04T06:05:00.202-07:00Fascinating - both analytically and from a whisky ...Fascinating - both analytically and from a whisky point of view! Is there any reason it would be a bad idea to overlay the two plots?<br /><br />Anonymousnoreply@blogger.com