Last updated: 2019-10-15

Checks: 2 0

Knit directory: wflow-r4ds/

This reproducible R Markdown analysis was created with workflowr (version 1.4.0.9001). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

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Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


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    Ignored:    .Rhistory
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    Untracked:  docs/figure/09-tidyr.Rmd/

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These are the previous versions of the R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view them.

File Version Author Date Message
Rmd d856862 John Blischak 2019-10-16 Chapter 9 exercises on tidyr
html 5472b4d John Blischak 2019-10-02 Build site.
Rmd a23c44c John Blischak 2019-10-02 Chp 8 exercises on readr
html 95dc8ef John Blischak 2019-09-27 Build site.
Rmd 5eec27c John Blischak 2019-09-27 fix link
html 3431d4f John Blischak 2019-09-27 Build site.
Rmd 8611f49 John Blischak 2019-09-27 chp 7 tibble
html 179b462 John Blischak 2019-09-27 Build site.
Rmd 874ad3b John Blischak 2019-09-27 chp 5 exploratory data analysis
html 723fe05 John Blischak 2019-09-26 Build site.
Rmd 739f955 John Blischak 2019-09-26 Update links
html 9649334 John Blischak 2019-09-26 Build site.
Rmd 4b7fe49 John Blischak 2019-09-26 chp 2 exercises
html 7213610 John Blischak 2019-09-25 Build site.
Rmd 25ccd00 John Blischak 2019-09-25 Start chapter 1 exercises on ggplot2
Rmd 6c30bfc John Blischak 2019-09-25 Start workflowr project.

  1. Data visualization with ggplot2
  2. Workflow basics
  3. Data transformation with dplyr
  4. Workflow: Scripts (no exercises)
  5. Exploratory data analysis
  6. Workflow: Projects (no exercises)
  7. Tibbles with tibble
  8. Data import with readr
  9. Tidy data with tidyr