{"action":"created","comment":{"url":"https://api.github.com/repos/datacarpentry/R-ecology/pulls/comments/34363223","id":34363223,"diff_hunk":"@@ -11,43 +26,58 @@ import CSV files, the structure of data.frame, how to deal with factors, how to\n add/remove rows and columns, and finish with how to calculate summary statistics\n for each level and a very brief introduction to plotting.\n \n-> ## Prerequisites\n->\n-> * Having RStudio installed\n \n-## Topics\n+**Content Contributors: {{page.contributors | join: ', ' %}}**\n+\n+\n+**Lesson Maintainers: {{page.maintainers | join: ', ' %}}**\n+\n+\n+**Lesson status: {{ page.status }}**\n+\n+<!--\n+  [Information on Lesson Status Categories]()\n+-->\n+\n+<!-- ###### INDEX OF LESSONS ON THIS TOPIC ###### -->\n+\n+## Lessons:\n+\n+1. [Lesson 00 Before we start](00-before-we-start.html)\n+2. [Lesson 01 Introduction to R](01-intro-to-R.html)\n+3. [Lesson 02 Starting with data](02-starting-with-data.html)\n+4. [Lesson 03 Introducing `data.frame`](03-data-frames.html)\n+5. [Lesson 04 Aggregating and analyzing data with dplyr](04-dplyr.html)\n+6. [Lesson 07 Data visualisation with ggplot2](05-visualisation-ggplot2.html) \n+7. [Lesson 06 R and SQL](06-r-and-sql.html)\n+\n+\n+## Data\n+\n+Data files for the lesson are available here: ({{page.dataurl %}})[{{page.dataurl %}}]\n \n-* [Before we start](00-before-we-start.html)\n-* [Introduction to R](01-intro-to-R.html)\n-* [Starting with data](02-starting-with-data.html)\n-* [The `data.frame` class](03-data-frames.html)\n-* [Aggregating and analyzing data with dplyr](04-dplyr.html)\n \n-## Other resources\n+### Requirements\n \n-* [Motivation](motivation.html)\n+Data Carpentry's teaching is hands-on, so participants are encouraged to use\n+their own computers to insure the proper setup of tools for an efficient workflow.\n+*These lessons assume no prior knowledge of the skills or tools*, but working\n+through this lesson requires working copies of the software described below.\n+To most effectively use these materials, please make sure to install everything\n+*before* working through this lesson.\n \n-## Organization of the repository\n+{% if page.software == \"Python\" %}\n+{% include pythonSetup.html %}\n+{% elsif page.software == \"Spreadsheets\" %}\n+{% include spreadsheetSetup.html %}\n+{% elsif page.software == \"R\" %}\n+{% include rSetup.html %}\n+{% else %}\n+{% include anySetup.html %}\n+{% endif %}\n \n-The lessons are written in Rmarkdown. A Makefile generates an html page for each\n-topic using knitr. In the process, knitr creates an intermediate markdown\n-file. These are removed by the Makefile to avoid clutter.\n+<p><strong>Twitter</strong>: @datacarpentry</p>\n \n-The Makefile also generates a \"skeleton\" file that is intended to be distributed","path":"index.md","position":98,"original_position":98,"commit_id":"18453e2da776674a84c94b6e14da0cf7d71e5bd3","original_commit_id":"fb372d31d2f9d624bf0144179da16983d1c209a3","user":{"login":"fmichonneau","id":5502922,"avatar_url":"https://avatars.githubusercontent.com/u/5502922?v=3","gravatar_id":"","url":"https://api.github.com/users/fmichonneau","html_url":"https://github.com/fmichonneau","followers_url":"https://api.github.com/users/fmichonneau/followers","following_url":"https://api.github.com/users/fmichonneau/following{/other_user}","gists_url":"https://api.github.com/users/fmichonneau/gists{/gist_id}","starred_url":"https://api.github.com/users/fmichonneau/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fmichonneau/subscriptions","organizations_url":"https://api.github.com/users/fmichonneau/orgs","repos_url":"https://api.github.com/users/fmichonneau/repos","events_url":"https://api.github.com/users/fmichonneau/events{/privacy}","received_events_url":"https://api.github.com/users/fmichonneau/received_events","type":"User","site_admin":false},"body":"Yes, that works. The Makefile would need to updated though, as currently README and index are kept in sync by it.","created_at":"2015-07-10T15:06:04Z","updated_at":"2015-07-10T15:06:04Z","html_url":"https://github.com/datacarpentry/R-ecology/pull/17#discussion_r34363223","pull_request_url":"https://api.github.com/repos/datacarpentry/R-ecology/pulls/17","_links":{"self":{"href":"https://api.github.com/repos/datacarpentry/R-ecology/pulls/comments/34363223"},"html":{"href":"https://github.com/datacarpentry/R-ecology/pull/17#discussion_r34363223"},"pull_request":{"href":"https://api.github.com/repos/datacarpentry/R-ecology/pulls/17"}}},"pull_request":{"url":"https://api.github.com/repos/datacarpentry/R-ecology/pulls/17","id":39505607,"html_url":"https://github.com/datacarpentry/R-ecology/pull/17","diff_url":"https://github.com/datacarpentry/R-ecology/pull/17.diff","patch_url":"https://github.com/datacarpentry/R-ecology/pull/17.patch","issue_url":"https://api.github.com/repos/datacarpentry/R-ecology/issues/17","number":17,"state":"open","locked":false,"title":"Applied lesson 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