{"id":1025,"date":"2020-08-24T15:49:21","date_gmt":"2020-08-24T20:49:21","guid":{"rendered":"https:\/\/units.fisheries.org\/fits\/?post_type=product&#038;p=1025"},"modified":"2020-08-25T10:43:13","modified_gmt":"2020-08-25T15:43:13","slug":"ade4","status":"publish","type":"product","link":"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/","title":{"rendered":"ade4"},"content":{"rendered":"<p>R Package Description copied from CRAN:<\/p>\n<p>ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences<\/p>\n<p>Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007)<br \/>\n<div class=\"show_more\"><p class=\"wpsm-show\" style=\"color: #cc0000; font-size: 100%; text-align: left;\"> Read more...<\/p><div class=\"wpsm-content\"><br \/>\nThis package is developed in the Biometry and Evolutionary Biology Lab (UMR CNRS 5558) -University Lyon 1. It contains Data Analysis functions to analyse Ecological and Environmental data in the framework of Euclidean Exploratory methods, hence the name ade4. de4 is characterized by (1) the implementation of graphical and statistical functions, (2) the avail-ability of numerical data, (3) the redaction of technical and thematic documentation and (4) the inclusion of bibliographic references.<br \/>\n <p class=\"wpsm-hide\" style=\"color: #cc0000; font-size: 100%; text-align: left;\"> Read less...<\/p><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007)<\/p>\n","protected":false},"featured_media":1023,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[225],"product_tag":[223,199,221],"class_list":{"0":"post-1025","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-r-packages","7":"product_tag-open-source","8":"product_tag-software","9":"product_tag-statistics","11":"odd","12":"first-child","13":"last-child","15":"first","16":"instock","17":"shipping-taxable","18":"product-type-external"},"wppr_data":{"cwp_meta_box_check":"No"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ade4 - Center for Fisheries Technology and Collaboration<\/title>\n<meta name=\"description\" content=\"Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007)\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ade4 - Center for Fisheries Technology and Collaboration\" \/>\n<meta property=\"og:description\" content=\"Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007)\" \/>\n<meta property=\"og:url\" content=\"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/\" \/>\n<meta property=\"og:site_name\" content=\"Data and Technology Section\" \/>\n<meta property=\"article:modified_time\" content=\"2020-08-25T15:43:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/units.fisheries.org\/fits\/wp-content\/uploads\/sites\/29\/2020\/08\/Rpackage.png\" \/>\n\t<meta property=\"og:image:width\" content=\"312\" \/>\n\t<meta property=\"og:image:height\" content=\"332\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/\",\"url\":\"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/\",\"name\":\"ade4 - Center for Fisheries Technology and Collaboration\",\"isPartOf\":{\"@id\":\"https:\/\/units.fisheries.org\/fits\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/units.fisheries.org\/fits\/solution\/software\/statistics\/r-packages\/ade4\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/units.fisheries.org\/fits\/wp-content\/uploads\/sites\/29\/2020\/08\/Rpackage.png\",\"datePublished\":\"2020-08-24T20:49:21+00:00\",\"dateModified\":\"2020-08-25T15:43:13+00:00\",\"description\":\"Tools for multivariate data analysis. 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