diff --git a/2024-10-coreR/search.json b/2024-10-coreR/search.json index 9eaf60c9..9c7d0c4e 100644 --- a/2024-10-coreR/search.json +++ b/2024-10-coreR/search.json @@ -1669,6 +1669,26 @@ "18  Practice Session: Functions" ] }, + { + "objectID": "session_19.html", + "href": "session_19.html", + "title": "19  Office Hour", + "section": "", + "text": "Steps", + "crumbs": [ + "19  Office Hour" + ] + }, + { + "objectID": "session_19.html#steps", + "href": "session_19.html#steps", + "title": "19  Office Hour", + "section": "", + "text": "Go over the Installing R and Git in your computer session and make sure you have everything installed and updated.\nIntroduce your GitHub credentials to your local computer. Follow the steps in Git and GitHub Setup section.\nCreate a new repository on GitHub. It is up to you if you you named it something related to a project you are working or something more like a test-repo.\nClone your GitHub repository into your local computer. Create a new RProject (with version control)\nModify the README file. Provide a title to your project and a description. Stage (add) - Commit - Pull - Push your changes.\nAdd sub-folders to your project. We have talked throughout the course the importance of organization, ultimately, it is up to you how you organize your project.\nAdd data into your project and create a script (or Quarto doc)\nRead in your data and start working with it!\n\n\n\n\n\n\n\nAbout gitignore\n\n\n\nIf your data is too large you might wanna consider adding your the folder where your data live to the gitignore file. This way, Git will not track that file. GitHub has a size limit to 100 mb. This mean your will not be able to push files over that limit. This is when the gitignore comes handy.", + "crumbs": [ + "19  Office Hour" + ] + }, { "objectID": "session_21.html", "href": "session_21.html", diff --git a/2024-10-coreR/session_13.html b/2024-10-coreR/session_13.html index a06bbf72..3b6559af 100644 --- a/2024-10-coreR/session_13.html +++ b/2024-10-coreR/session_13.html @@ -1050,8 +1050,8 @@ 

datatable(locations)
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popup = ~ restore_loc )
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color = "white", opacity = 1)
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color = "white", opacity = 1)
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diff --git a/2024-10-coreR/session_16.html b/2024-10-coreR/session_16.html index 25a5c46a..6b88f87f 100644 --- a/2024-10-coreR/session_16.html +++ b/2024-10-coreR/session_16.html @@ -1116,8 +1116,8 @@

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We can add labels, legends, and a color scale.

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We can also add the individual communities, with popup labels showing their population, on top of that!

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diff --git a/2024-10-coreR/session_16_files/figure-html/unnamed-chunk-28-1.png b/2024-10-coreR/session_16_files/figure-html/unnamed-chunk-28-1.png index 641abde0..0997e8d5 100644 Binary files a/2024-10-coreR/session_16_files/figure-html/unnamed-chunk-28-1.png and b/2024-10-coreR/session_16_files/figure-html/unnamed-chunk-28-1.png differ diff --git a/2024-10-coreR/session_17.html b/2024-10-coreR/session_17.html index cd699d11..942294e7 100644 --- a/2024-10-coreR/session_17.html +++ b/2024-10-coreR/session_17.html @@ -518,8 +518,8 @@

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But what if we wanted to make the function more flexible - instead of taking only Fahrenheit temperatures as input, what if we wanted to allow the user to optionally provide Celsius? Let’s add an additional argument so the user can specify the input units. And let’s return the result already formatted as a data frame.

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19  -