{"id":676,"date":"2017-06-23T15:27:45","date_gmt":"2017-06-23T15:27:45","guid":{"rendered":"http:\/\/tech.me.holycross.edu\/?p=676"},"modified":"2017-06-23T15:27:45","modified_gmt":"2017-06-23T15:27:45","slug":"multivariate-analysis-with-r","status":"publish","type":"post","link":"https:\/\/blogs.holycross.edu\/tech\/2017\/06\/23\/multivariate-analysis-with-r\/","title":{"rendered":"Multivariate Analysis with R"},"content":{"rendered":"<p>Multivariate analysis is that branch of statistics concerned with examination of several variables simultaneously. This post demonstrates the practical application of several multivariate techniques, using the\u00a0<a href=\"http:\/\/www.r-project.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">R<\/a>\u00a0programming language and computing environment. Topics include ecological and geographic distance matrices, cluster analysis, the Mantel test, multidimensional scaling, principle components analysis, and discriminant function analysis.<\/p>\n<p>The main body of this post is hosted on <a href=\"https:\/\/pages.github.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">GitHub Pages<\/a>. To read the full post, click this link: <a href=\"https:\/\/richardlent.github.io\/post\/multivariate-analysis-with-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Multivariate Analysis with R<\/a>.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Multivariate analysis is that branch of statistics concerned with examination of several variables simultaneously. This post demonstrates the practical application of several multivariate techniques, using the\u00a0R\u00a0programming language and computing environment. Topics include ecological and geographic distance matrices, cluster analysis, the Mantel test, multidimensional scaling, principle components analysis, and discriminant function analysis. The main body of &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/blogs.holycross.edu\/tech\/2017\/06\/23\/multivariate-analysis-with-r\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Multivariate Analysis with R&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,3,5],"tags":[],"class_list":["post-676","post","type-post","status-publish","format-standard","hentry","category-data-analysis","category-data-visualization","category-programming"],"_links":{"self":[{"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/posts\/676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/comments?post=676"}],"version-history":[{"count":0,"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/posts\/676\/revisions"}],"wp:attachment":[{"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/media?parent=676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/categories?post=676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.holycross.edu\/tech\/wp-json\/wp\/v2\/tags?post=676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}