Last updated: 2020-10-10
Checks: 2 0
Knit directory: r4ds_book/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). 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.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version ae71e8e. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
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:
Ignored files:
Ignored: .Rproj.user/
Untracked files:
Untracked: VideoDecodeStats/
Untracked: analysis/images/
Untracked: code_snipp.txt
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/index.Rmd
) and HTML (docs/index.html
) files. If you’ve configured a remote Git repository (see ?wflow_git_remote
), click on the hyperlinks in the table below to view the files as they were in that past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | ae71e8e | sciencificity | 2020-10-10 | added Ch 4 section |
html | ceae495 | sciencificity | 2020-09-17 | Build site. |
html | b8fde7d | sciencificity | 2020-09-13 | Build site. |
Rmd | 4747fc8 | sciencificity | 2020-09-13 | added WIP html page |
html | 0bab89d | sciencificity | 2020-09-12 | Build site. |
Rmd | a47f1a3 | sciencificity | 2020-09-12 | completed ggplot exercises |
html | 720a89b | sciencificity | 2020-09-02 | Build site. |
Rmd | 6a6f465 | sciencificity | 2020-09-02 | added new misc section |
html | 6a6f465 | sciencificity | 2020-09-02 | added new misc section |
html | 4612bb8 | sciencificity | 2020-09-02 | Build site. |
Rmd | 7305596 | sciencificity | 2020-09-02 | added new misc section |
html | d627f04 | sciencificity | 2020-08-26 | Build site. |
html | b3395ae | sciencificity | 2020-08-23 | Build site. |
html | 6373aef | sciencificity | 2020-08-23 | Build site. |
html | 28dbedf | sciencificity | 2020-08-23 | Build site. |
Rmd | fd94013 | sciencificity | 2020-08-23 | Ch1 more complete, plus started Ch2 |
html | 5c5ee45 | sciencificity | 2020-08-23 | Build site. |
Rmd | 865e66f | sciencificity | 2020-08-23 | Ch1 more complete, plus started Ch2 |
html | 051fc23 | sciencificity | 2020-08-22 | Build site. |
html | 4045090 | sciencificity | 2020-08-21 | Build site. |
html | f8f5ce1 | sciencificity | 2020-08-21 | Build site. |
html | 589a0ca | sciencificity | 2020-08-18 | Build site. |
html | 801c1d7 | sciencificity | 2020-08-18 | Build site. |
html | 9ea8280 | sciencificity | 2020-08-14 | Build site. |
html | e2cdeb5 | sciencificity | 2020-08-14 | Build site. |
Rmd | 6c088b5 | sciencificity | 2020-08-14 | Add Chapter 1 |
Rmd | 9a6e95f | sciencificity | 2020-08-14 | Start workflowr project. |
Welcome to my exam prep website. The chapters follow the printed version of R for Data Science
which is online as well.
Assumptions: - You have worked through the material in the physical or online book. - You have attempted the exercises yourself. Learning by practicing is a really great way to get acclimatised to the language. - You understand that like you, I too am on a journey of learning, and therefore will be kind with mistakes you may pick up. That being said, I know there’s many ways to tackle problems in R and I never want to put out material that is fundamentally flawed, so please do let me know if I have some glaring incorrect content contained within!
Resources I really enjoyed:
Chapter 1: Data Viz with ggplot
Chapter 2: Workflow Basics
Chapter 3: Data Transformation
Chapter 4: Workflow - Scripts