{"id":10,"date":"2018-01-23T13:10:04","date_gmt":"2018-01-23T18:10:04","guid":{"rendered":"https:\/\/rscidata.utoronto.ca\/?page_id=10"},"modified":"2018-06-29T11:47:51","modified_gmt":"2018-06-29T15:47:51","slug":"instructor-resources","status":"publish","type":"page","link":"https:\/\/rscidata.utoronto.ca\/index.php\/home\/instructor-resources\/","title":{"rendered":"Instructor Resources"},"content":{"rendered":"
\n

Secure area<\/strong><\/span><\/h4>\n

Project Title: <\/strong><\/span><\/h4>\n

Scientific Data Analytics with R<\/em><\/p>\n

 <\/p>\n

Project Leaders:<\/strong><\/span><\/h4>\n

Bethany White and Jennifer Waugh<\/span><\/p>\n

The materials are published here as editable open educational resources and licensed under\u00a0 Creative Commons<\/a><\/strong> (CC BY-NC 4.0) so that they can be modified for non-commercial use, with attribution to the authors.<\/p>\n

 <\/p>\n

Modules<\/strong><\/span><\/h4>\n

SCORM objects must be downloaded and imported into a platform that supports the SCORM standard, for example most common Learning Management Systems.<\/p>\n

 <\/p>\n

\"Working<\/a><\/div>\n

Working with Data<\/a><\/strong>
\nSCORM zip file here<\/a><\/strong> for\u00a0download<\/em><\/p>\n

 <\/p>\n

\"Visualizing<\/a><\/div>\n

Visualizing and Summarizing Data<\/strong><\/a>
\nSCORM zip file here<\/a><\/strong> for download<\/em><\/p>\n

 <\/p>\n

\"Inference<\/a><\/div>\n

Inference on the Centre of a Distribution<\/a>
\n<\/strong>SCORM zip file here<\/a><\/strong> for download
\n<\/em><\/p>\n

 <\/p>\n

\"Making-Inferences<\/a><\/strong><\/div>\n

Inference on One Proportion<\/strong><\/a>
\nSCORM zip file here<\/a><\/strong> for download
\n<\/em><\/p>\n

 <\/p>\n

\"Comparing<\/a><\/strong><\/div>\n

Comparing Centres of Two Distributions<\/strong><\/a>
\nSCORM zip file here<\/a><\/strong> for download
\n<\/em><\/p>\n

 <\/p>\n

\"Comparing<\/a><\/strong><\/div>\n

Comparing Two Proportions<\/strong><\/a>
\nSCORM zip file here<\/a><\/strong> for download
\n<\/em><\/p>\n

 <\/p>\n

\"Comparing<\/strong><\/div>\n

Comparing More than Two Means<\/strong>
\nSCORM zip file\u00a0<\/em>here<\/strong> for download
\n<\/em><\/p>\n

 <\/p>\n

\"Inference<\/a><\/strong><\/div>\n

Inference on Associations between Variables<\/strong><\/a>
\nSCORM zip file here<\/a><\/strong> for download
\n<\/em><\/p>\n

 <\/p>\n

 <\/p>\n

PCRS-R software<\/strong><\/span><\/h4>\n

PCRS [link: https:\/\/mcs.utm.utoronto.ca\/~pcrs\/pcrs\/index.shtml<\/a><\/strong>] is a web application built to serve a mix of content (videos and text) and interactive programming exercises. This project uses PCRS to serve online exercises in the R programming language.<\/p>\n

If you wish to use PCRS to support a class at your institution, you will need to host it on a local server. Local technical support may be required, as hosting your own server is non-trivial.<\/p>\n

A specific release of PCRS is maintained to support deployment of PCRS for R exercises. This release contains the most up-to-date code for supporting R, as well as files to deploy the system using Docker [link:
\nhttps:\/\/www.docker.com\/<\/strong><\/a>].<\/p>\n

We have tested the installation on a server running Ubuntu 18.04 LTS and Docker CE (18.03.1-ce). To get PCRS and the Dockerfile for deploying it, use the following commands in the shell:<\/p>\n

[verbatim]
\n$ git clone https:\/\/bitbucket.org\/utmandrew\/pcrs.git<\/a><\/strong>
\n$ cd pcrs
\n$ git checkout pcrs-r
\n[\/verbatim]<\/p>\n

This should create a directory named “pcrs” that contains a Dockerfile that can be used to create a Docker image.<\/p>\n

If installation fails on your system, the PCRS website [link:
\nhttps:\/\/mcs.utm.utoronto.ca\/~pcrs\/pcrs\/index.shtml<\/a><\/strong>] contains general instructions for manually installing and deploying the system as well as contact information for the developer team.<\/p>\n","protected":false},"excerpt":{"rendered":"

Secure area Project Title: Scientific Data Analytics with R   Project Leaders: Bethany White and Jennifer Waugh The materials are published here as editable open educational resources and licensed under\u00a0 Creative Commons (CC BY-NC 4.0) so that they can be modified for non-commercial use, with attribution to the authors.   Modules SCORM objects must be […]<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":8,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"class_list":{"0":"post-10","1":"page","2":"type-page","3":"status-publish","5":"entry","6":"has-post-thumbnail"},"_links":{"self":[{"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":82,"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":1515,"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/pages\/10\/revisions\/1515"}],"up":[{"embeddable":true,"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/pages\/8"}],"wp:attachment":[{"href":"https:\/\/rscidata.utoronto.ca\/index.php\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}