{"id":1117,"date":"2021-11-30T21:48:14","date_gmt":"2021-11-30T21:48:14","guid":{"rendered":"http:\/\/bojovicstatistics.rs\/?p=1117"},"modified":"2022-02-09T16:10:42","modified_gmt":"2022-02-09T16:10:42","slug":"principal-component-analysis-pca-biplot","status":"publish","type":"post","link":"http:\/\/bojovicstatistics.rs\/sr\/blog\/principal-component-analysis-pca-biplot\/","title":{"rendered":"Principal component analysis – PCA biplot"},"content":{"rendered":"
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PCA biplot<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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PCA<\/strong> of soil and plant variables measured in six processing tomato fields. Soil physicochemical parameters and plant variables separated primarily by site along PC1, which explained 42% of variation. Samples separated secondarily by management within site, and a significant site\u00a0 management interaction was observed.<\/p>

source: Schmidt, J. E., Vannette, R. L., Igwe, A., Blundell, R., Casteel, C. L., & Gaudin, A. C. (2019). Effects of agricultural management on rhizosphere microbial structure and function in processing tomato plants. Applied and environmental microbiology, 85(16), e01064-19.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Principal component analysis - PCA biplot<\/a><\/h3>\n
<\/i> 1 file(s) <\/i> 4.79 MB<\/div>\n <\/div>\n
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PCA biplot PCA of soil and plant variables measured in six processing tomato fields. Soil physicochemical parameters and plant variables separated primarily by site along PC1, which explained 42% of variation. Samples separated secondarily by management within site, and a significant site\u00a0 management interaction was observed. source: Schmidt, J. E., Vannette, R. L., Igwe, A.,… \u041f\u0440\u043e\u0447\u0438\u0442\u0430\u0458 \u0432\u0438\u0448\u0435 »Principal component analysis – PCA biplot<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[3],"tags":[],"class_list":["post-1117","post","type-post","status-publish","format-standard","hentry","category-blog"],"yoast_head":"\nPrincipal component analysis - PCA biplot - bojovicstatistics<\/title>\n<meta name=\"description\" content=\"PCA biplot, PCA of soil and plant variables measured in six processing tomato fields. statistical data processing, microbial structure\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bojovicstatistics.rs\/sr\/blog\/principal-component-analysis-pca-biplot\/\" \/>\n<meta property=\"og:locale\" content=\"sr_RS\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Principal component analysis - 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