{"id":158,"date":"2022-04-27T13:57:50","date_gmt":"2022-04-27T12:57:50","guid":{"rendered":"https:\/\/blogs.kent.ac.uk\/edna\/?page_id=158"},"modified":"2023-07-19T16:09:24","modified_gmt":"2023-07-19T15:09:24","slug":"examples","status":"publish","type":"page","link":"https:\/\/blogs.kent.ac.uk\/edna\/metabarcoding-data\/examples\/","title":{"rendered":"Examples"},"content":{"rendered":"<p>After downloading the package, it is recommended to go through the <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/vti57ww96iqg5m92khm6k\/eDNAPlus.html?rlkey=1e24mq96xbproewj0zyozywrf&amp;dl=0\" target=\"_blank\" rel=\"noopener noreferrer\">vignette<\/a>, which highlights the important aspects of the package.<\/p>\n<p>This <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/vti57ww96iqg5m92khm6k\/eDNAPlus.html?rlkey=1e24mq96xbproewj0zyozywrf&amp;dl=0\" target=\"_blank\" rel=\"noopener noreferrer\">R script <\/a>\u00a0analyses these <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/pi5u0fm4sq2949c6k72d2\/SimData.RData?rlkey=ib4rg3ixnc8w0vs4yslqwc5v1&amp;dl=0\" target=\"_blank\" rel=\"noopener\">simulated metabarcoding data<\/a> with n=100 sites, S=10 species, M=5 samples and K=12 qPCR tests.<\/p>\n<p>Also, we provide some extra datasets specifically to be used for assessing the performance of the model, <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/efd7pf85gmuu1xecm3xro\/TrueCor.RData?rlkey=e6qd54fsktcgj9dvxgrgccznj&amp;dl=0\" target=\"_blank\" rel=\"noopener noreferrer\">True Correlations, <\/a> <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/1iun0alaiwqp2p4iu5ybl\/BioMass.RData?rlkey=poatdx97tnvi3fc1fu5ghocw9&amp;dl=0\" target=\"_blank\" rel=\"noopener noreferrer\">BioMass, <\/a> and for producing output <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/0nhj32seqe8it5msq1fl2\/datapoly.RData?rlkey=ytz6y8xaq0hgd5fwqg2s108rh&amp;dl=0\" target=\"_blank\" rel=\"noopener noreferrer\">Plots <\/a>.<\/p>\n<p>Download all these files (R script, data, correlations, biomasses and plots) and save them in your working directory on your machine. Then run the code on the R script to install any required packages, fit the model and to visualise the output.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>After downloading the package, it is recommended to go through the vignette, which highlights the important aspects of the package. This R script \u00a0analyses these simulated metabarcoding data with n=100 sites, S=10 species, M=5 samples and K=12 qPCR tests. Also, we provide some extra datasets specifically to be used for assessing the performance of the [&hellip;]<\/p>\n","protected":false},"author":40694,"featured_media":0,"parent":151,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/pages\/158"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/users\/40694"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/comments?post=158"}],"version-history":[{"count":19,"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/pages\/158\/revisions"}],"predecessor-version":[{"id":379,"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/pages\/158\/revisions\/379"}],"up":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/pages\/151"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/edna\/wp-json\/wp\/v2\/media?parent=158"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}