{"id":378,"date":"2014-04-20T20:04:03","date_gmt":"2014-04-20T20:04:03","guid":{"rendered":"http:\/\/wiki.psychwire.co.uk\/?page_id=378"},"modified":"2014-04-29T12:17:03","modified_gmt":"2014-04-29T12:17:03","slug":"part-5-data-analysis","status":"publish","type":"page","link":"http:\/\/wiki.psychwire.co.uk\/?page_id=378","title":{"rendered":"Part 5: Data Analysis"},"content":{"rendered":"<p>In this section, we deal with data analysis. It&#8217;s broken down into several parts.<\/p>\n<h3>1. Slides<\/h3>\n<p>These\u00a0are the slides presented at the start of the course. They outline most of what is in the remaining sections.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/Analysing%20Eye-Tracking%20Data.pptx\" target=\"_blank\">The slides are here<\/a><\/li>\n<\/ul>\n<h3>2. Organise: Data.table R script<\/h3>\n<p>Covers the code from the slides relating to how to use the data.table package in R. Also has a few extra bits not covered in the slides.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/datatable.R\" target=\"_blank\">Here is the R script<\/a><\/li>\n<\/ul>\n<h3>3. Analyse\/Visualise: R script for ANOVAs and Plots<\/h3>\n<p>Covers the code from the slides relating to how to use the ez package in R for running ANOVAs and the ggplot package for producing plots. Also has a few extra bits not covered in the slides.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/analyseVisualise.R\" target=\"_blank\">Here is the R script<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/fixreport.txt\" target=\"_blank\">Here is the fixation report<\/a><\/li>\n<\/ul>\n<h3>4.\u00a0Further Adventures with ggplot<\/h3>\n<p>Covers some additional bits and pieces for ggplot and beyond.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/ggplotExamples.R\" target=\"_blank\">Here is a script with ggplot examples.<\/a><\/li>\n<\/ul>\n<h3>5. Random Tips<\/h3>\n<p>Some additional miscellaneous tips, mostly relating to string functions.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/randomTips.R\" target=\"_blank\">\u00a0Here is the script.<\/a><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"http:\/\/www.personal.soton.ac.uk\/hg102\/ul\/fixdurs.png\" alt=\"\" width=\"574\" height=\"448\" \/><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this section, we deal with data analysis. It&#8217;s broken down into several parts. 1. Slides These\u00a0are the slides presented at the start of the course. They outline most of what is in the remaining sections. The slides are here 2. Organise: Data.table R script Covers the code from the slides relating to how to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-378","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=\/wp\/v2\/pages\/378","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=378"}],"version-history":[{"count":8,"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=\/wp\/v2\/pages\/378\/revisions"}],"predecessor-version":[{"id":423,"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=\/wp\/v2\/pages\/378\/revisions\/423"}],"wp:attachment":[{"href":"http:\/\/wiki.psychwire.co.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=378"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}