From b5e8f9c506401ce83ba3906834634a448a3d5147 Mon Sep 17 00:00:00 2001 From: jhudsl-robot Date: Mon, 25 Mar 2024 18:27:15 +0000 Subject: [PATCH 1/2] Render toc-less --- docs/no_toc/07-durable-code.md | 4 ++-- docs/no_toc/404.html | 11 +++++++--- docs/no_toc/About.md | 2 +- docs/no_toc/about-the-authors.html | 13 ++++++++---- docs/no_toc/code-review.html | 11 +++++++--- docs/no_toc/defining-reproducibility.html | 11 +++++++--- docs/no_toc/documenting-analyses.html | 15 +++++++++----- docs/no_toc/index.html | 13 ++++++++---- docs/no_toc/index.md | 2 +- docs/no_toc/introduction.html | 11 +++++++--- ...-your-project-open-source-with-github.html | 15 +++++++++----- docs/no_toc/managing-package-versions.html | 15 +++++++++----- docs/no_toc/organizing-your-project.html | 15 +++++++++----- docs/no_toc/references.html | 11 +++++++--- ...J5NBjwWVjRn40MS9f2noE_g106226cdd08_0_0.png | Bin 219239 -> 218584 bytes ...J5NBjwWVjRn40MS9f2noE_g102dc56db08_0_0.png | Bin 606196 -> 606191 bytes ...5NBjwWVjRn40MS9f2noE_gf62875ddf7_0_404.png | Bin 395950 -> 395946 bytes docs/no_toc/search_index.json | 2 +- docs/no_toc/using-notebooks.html | 15 +++++++++----- docs/no_toc/writing-durable-code.html | 19 +++++++++++------- 20 files changed, 125 insertions(+), 60 deletions(-) diff --git a/docs/no_toc/07-durable-code.md b/docs/no_toc/07-durable-code.md index 774935a9..99ec386c 100644 --- a/docs/no_toc/07-durable-code.md +++ b/docs/no_toc/07-durable-code.md @@ -139,7 +139,7 @@ Keeping around old code and objects is generally more of a hindrance than a time 1) You might write better code on the second try (or third or n'th). 2) Keeping around old code makes it harder for you to write and troubleshoot new better code -- it's easier to confuse yourself. Sometimes a fresh start can be what you need. -3) With version control you can always return to that old code! (We'll dive more into version control later on, but you've started the process by [uploading your code to GitHub in chapter 4](https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/why-git-and-github.html)!) +3) With version control you can always return to that old code! (We'll dive more into version control later on, but you've started the process by [uploading your code to GitHub in chapter 4](https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/making-your-project-open-source-with-github.html)!) This means you should not comment out old code. Just delete it! No code is so precious that you need to keep it commented out (particularly if you are using version control and you can retrieve it in other ways should you need it). @@ -306,7 +306,7 @@ There's so many opinions and strategies on best practices for code. And although #### R specific: -- [Data Carpentry's: Best Practices for Writing R Code](https://swcarpentry.github.io/r-novice-inflammation/06-best-practices-R/) by @DataCarpentry2021b. +- [Data Carpentry's: Best Practices for Writing R Code](https://swcarpentry.github.io/r-novice-inflammation/06-best-practices-R.html) by @DataCarpentry2021b. - [R Programming for Research: Reproducible Research](https://geanders.github.io/RProgrammingForResearch/reproducible-research-1.html) by @Good2021. - [R for Epidemiology: Coding best practices](https://www.r4epi.com/coding-best-practices.html) by @Cannell2021. - [Best practices for R Programming](https://towardsdatascience.com/best-practices-for-r-programming-ec0754010b5a) by @Bernardo2021. diff --git a/docs/no_toc/404.html b/docs/no_toc/404.html index 372099e0..eff287e7 100644 --- a/docs/no_toc/404.html +++ b/docs/no_toc/404.html @@ -312,13 +312,18 @@

Page not found

You may want to try searching to find the page's new location, or use the table of contents to find the page you are looking for.

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diff --git a/docs/no_toc/About.md b/docs/no_toc/About.md index 9d6605a8..21490ec4 100644 --- a/docs/no_toc/About.md +++ b/docs/no_toc/About.md @@ -46,7 +46,7 @@ These credits are based on our [course contributors table guidelines](https://ww ## collate en_US.UTF-8 ## ctype en_US.UTF-8 ## tz Etc/UTC -## date 2022-10-13 +## date 2024-03-25 ## ## ─ Packages ─────────────────────────────────────────────────────────────────── ## package * version date lib source diff --git a/docs/no_toc/about-the-authors.html b/docs/no_toc/about-the-authors.html index 8b07ba57..b9bc1adb 100644 --- a/docs/no_toc/about-the-authors.html +++ b/docs/no_toc/about-the-authors.html @@ -428,7 +428,7 @@

About the Authors

## collate en_US.UTF-8 ## ctype en_US.UTF-8 ## tz Etc/UTC -## date 2022-10-13 +## date 2024-03-25 ## ## ─ Packages ─────────────────────────────────────────────────────────────────── ## package * version date lib source @@ -486,13 +486,18 @@

About the Authors

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diff --git a/docs/no_toc/code-review.html b/docs/no_toc/code-review.html index e1511ba2..301eb045 100644 --- a/docs/no_toc/code-review.html +++ b/docs/no_toc/code-review.html @@ -407,13 +407,18 @@

References

Team, Smartbear. 2021. “Best Practices for Code Review.” Smartbear.com. https://smartbear.com/en/learn/code-review/best-practices-for-peer-code-review/. +
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diff --git a/docs/no_toc/defining-reproducibility.html b/docs/no_toc/defining-reproducibility.html index ab1584b6..ae0c9968 100644 --- a/docs/no_toc/defining-reproducibility.html +++ b/docs/no_toc/defining-reproducibility.html @@ -387,13 +387,18 @@

References

Broman, Karl. 2016. “Tools for Reproducible Research.” https://kbroman.org/Tools4RR/. +
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diff --git a/docs/no_toc/documenting-analyses.html b/docs/no_toc/documenting-analyses.html index dfb18bff..c005efc4 100644 --- a/docs/no_toc/documenting-analyses.html +++ b/docs/no_toc/documenting-analyses.html @@ -367,14 +367,14 @@

8.3 Get the exercise project file Get the Python project example files

Click this link to download.

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Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

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Get the R project example files

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8.5 Exercise 2: Write a README fo

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diff --git a/docs/no_toc/index.html b/docs/no_toc/index.html index dd103879..816df1f1 100644 --- a/docs/no_toc/index.html +++ b/docs/no_toc/index.html @@ -308,7 +308,7 @@

About this Course

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0.1 Available course formats

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diff --git a/docs/no_toc/index.md b/docs/no_toc/index.md index 434ae074..b1d811bb 100644 --- a/docs/no_toc/index.md +++ b/docs/no_toc/index.md @@ -1,6 +1,6 @@ --- title: "Intro to Reproducibility in Cancer Informatics" -date: "October, 2022" +date: "March, 2024" site: bookdown::bookdown_site documentclass: book bibliography: [book.bib, packages.bib] diff --git a/docs/no_toc/introduction.html b/docs/no_toc/introduction.html index cba333a8..6985e6fa 100644 --- a/docs/no_toc/introduction.html +++ b/docs/no_toc/introduction.html @@ -358,13 +358,18 @@

References

Beaulieu-Jones, Brett K, and Casey S Greene. 2017. “Reproducibility of Computational Workflows Is Automated Using Continuous Analysis.” Nature Biotechnology 35 (4): 342–46. https://doi.org/10.1038/nbt.3780. +
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diff --git a/docs/no_toc/making-your-project-open-source-with-github.html b/docs/no_toc/making-your-project-open-source-with-github.html index c31c55e1..69d3daae 100644 --- a/docs/no_toc/making-your-project-open-source-with-github.html +++ b/docs/no_toc/making-your-project-open-source-with-github.html @@ -352,14 +352,14 @@

4.2 Get the exercise project file Get the Python project example files

Click this link to download.

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Get the R project example files

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4.3 Exercise: Set up a project on

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diff --git a/docs/no_toc/managing-package-versions.html b/docs/no_toc/managing-package-versions.html index 43143be0..d7b17614 100644 --- a/docs/no_toc/managing-package-versions.html +++ b/docs/no_toc/managing-package-versions.html @@ -342,14 +342,14 @@

6.2 Get the exercise project file Get the Python project example files

Click this link to download.

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Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

Get the R project example files

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References

Beaulieu-Jones, Brett K, and Casey S Greene. 2017. “Reproducibility of Computational Workflows Is Automated Using Continuous Analysis.” Nature Biotechnology 35 (4): 342–46. https://doi.org/10.1038/nbt.3780.
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diff --git a/docs/no_toc/organizing-your-project.html b/docs/no_toc/organizing-your-project.html index ba6b188d..071a271e 100644 --- a/docs/no_toc/organizing-your-project.html +++ b/docs/no_toc/organizing-your-project.html @@ -410,14 +410,14 @@

3.4 Get the exercise project file Get the Python project example files

Click this link to download.

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Get the R project example files

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References

Tayo, Benjamin Obi. 2019. “How to Organize Your Data Science Project.” Medium. https://towardsdatascience.com/how-to-organize-your-data-science-project-dd6599cf000a.
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diff --git a/docs/no_toc/references.html b/docs/no_toc/references.html index f5e92b73..b9150c58 100644 --- a/docs/no_toc/references.html +++ b/docs/no_toc/references.html @@ -498,13 +498,18 @@

References

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Click this link to download.

-

Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

+

Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

Get the R project example files

Click this link to download.

-

Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

+

Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

@@ -512,13 +512,18 @@

References

Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
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diff --git a/docs/no_toc/writing-durable-code.html b/docs/no_toc/writing-durable-code.html index dc879b54..f0dae65b 100644 --- a/docs/no_toc/writing-durable-code.html +++ b/docs/no_toc/writing-durable-code.html @@ -421,7 +421,7 @@

7.2.0.4 Don’t be afraid to dele
  • Keeping around old code makes it harder for you to write and troubleshoot new better code – it’s easier to confuse yourself. Sometimes a fresh start can be what you need.
  • -
  • With version control you can always return to that old code! (We’ll dive more into version control later on, but you’ve started the process by uploading your code to GitHub in chapter 4!)
  • +
  • With version control you can always return to that old code! (We’ll dive more into version control later on, but you’ve started the process by uploading your code to GitHub in chapter 4!)
  • This means you should not comment out old code. Just delete it! No code is so precious that you need to keep it commented out (particularly if you are using version control and you can retrieve it in other ways should you need it).

    Related to this, if you want to be certain that your code is reproducible, it’s worth deleting all your output, and re-running everything with a fresh session. The first step to knowing if your analysis is reproducible is seeing if you can repeat it yourself!

    @@ -568,7 +568,7 @@

    7.3.0.1 Python specific:

    7.3.0.2 R specific:

    @@ -985,13 +985,18 @@

    References

    Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.
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    From 6ab8dad1100e25712bde87f60c87cc83af310b45 Mon Sep 17 00:00:00 2001 From: jhudsl-robot Date: Mon, 25 Mar 2024 18:28:37 +0000 Subject: [PATCH 2/2] Render bookdown --- docs/07-durable-code.md | 4 ++-- docs/404.html | 11 +++++++--- docs/About.md | 2 +- docs/Introduction-to-Reproducibility.docx | Bin 12511791 -> 12511259 bytes docs/about-the-authors.html | 13 ++++++++---- docs/code-review.html | 11 +++++++--- docs/defining-reproducibility.html | 11 +++++++--- docs/documenting-analyses.html | 15 +++++++++----- docs/index.html | 13 ++++++++---- docs/index.md | 2 +- docs/introduction.html | 11 +++++++--- ...-your-project-open-source-with-github.html | 15 +++++++++----- docs/managing-package-versions.html | 15 +++++++++----- docs/organizing-your-project.html | 15 +++++++++----- docs/references.html | 11 +++++++--- ...J5NBjwWVjRn40MS9f2noE_g106226cdd08_0_0.png | Bin 219239 -> 218584 bytes ...J5NBjwWVjRn40MS9f2noE_g102dc56db08_0_0.png | Bin 606196 -> 606191 bytes ...5NBjwWVjRn40MS9f2noE_gf62875ddf7_0_404.png | Bin 395950 -> 395946 bytes docs/search_index.json | 2 +- docs/using-notebooks.html | 15 +++++++++----- docs/writing-durable-code.html | 19 +++++++++++------- 21 files changed, 125 insertions(+), 60 deletions(-) diff --git a/docs/07-durable-code.md b/docs/07-durable-code.md index 59d6f6dd..99d2064f 100644 --- a/docs/07-durable-code.md +++ b/docs/07-durable-code.md @@ -139,7 +139,7 @@ Keeping around old code and objects is generally more of a hindrance than a time 1) You might write better code on the second try (or third or n'th). 2) Keeping around old code makes it harder for you to write and troubleshoot new better code -- it's easier to confuse yourself. Sometimes a fresh start can be what you need. -3) With version control you can always return to that old code! (We'll dive more into version control later on, but you've started the process by [uploading your code to GitHub in chapter 4](https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/why-git-and-github.html)!) +3) With version control you can always return to that old code! (We'll dive more into version control later on, but you've started the process by [uploading your code to GitHub in chapter 4](https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/making-your-project-open-source-with-github.html)!) This means you should not comment out old code. Just delete it! No code is so precious that you need to keep it commented out (particularly if you are using version control and you can retrieve it in other ways should you need it). @@ -306,7 +306,7 @@ There's so many opinions and strategies on best practices for code. And although #### R specific: -- [Data Carpentry's: Best Practices for Writing R Code](https://swcarpentry.github.io/r-novice-inflammation/06-best-practices-R/) by @DataCarpentry2021b. +- [Data Carpentry's: Best Practices for Writing R Code](https://swcarpentry.github.io/r-novice-inflammation/06-best-practices-R.html) by @DataCarpentry2021b. - [R Programming for Research: Reproducible Research](https://geanders.github.io/RProgrammingForResearch/reproducible-research-1.html) by @Good2021. - [R for Epidemiology: Coding best practices](https://www.r4epi.com/coding-best-practices.html) by @Cannell2021. - [Best practices for R Programming](https://towardsdatascience.com/best-practices-for-r-programming-ec0754010b5a) by @Bernardo2021. diff --git a/docs/404.html b/docs/404.html index 372099e0..eff287e7 100644 --- a/docs/404.html +++ b/docs/404.html @@ -312,13 +312,18 @@

    Page not found

    You may want to try searching to find the page's new location, or use the table of contents to find the page you are looking for.

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    diff --git a/docs/About.md b/docs/About.md index 55e0d20d..93fbbdd1 100644 --- a/docs/About.md +++ b/docs/About.md @@ -46,7 +46,7 @@ These credits are based on our [course contributors table guidelines](https://ww ## collate en_US.UTF-8 ## ctype en_US.UTF-8 ## tz Etc/UTC -## date 2022-10-13 +## date 2024-03-25 ## ## ─ Packages ─────────────────────────────────────────────────────────────────── ## package * version date lib source diff --git a/docs/Introduction-to-Reproducibility.docx b/docs/Introduction-to-Reproducibility.docx index 35621e21d39daa171b1b016049ba7c374967f534..f09f94e0035189539ecb6add787d1634ab9069c6 100644 GIT binary patch delta 1221485 zcmV)2K+M0d)cXaS(E9}rP)h>@6aWGU2mq0jd04RyX95I~lX+OPc>)Xp4Uv<1Sf2$m zqkPK%0Nj(3112@9GonONyh!r6`^YL)S?;=RRk_{XGdpS$KtfCl1YlgmqIc{F$9aXB zA2Sg>e|N-rj`JpdlkEc>G8y{Tjf@i&2H!ku?KhuUGH^my1y|oZ`{C28#?iAs{qdhh zCvNCuLm8wNTpuJSqi>#*I|Moz>H(OCqyzJi_@NJpr7u#LcQQ~>VxAU$^OKGQL^9+b zpCKXHp*zNZBl^#WnEv^gj(us3PHu$%&9hG`_2KOYfBdI|{0jOH5#LD?2}geOlLQ4q 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      About the Authors

      ## collate en_US.UTF-8 ## ctype en_US.UTF-8 ## tz Etc/UTC -## date 2022-10-13 +## date 2024-03-25 ## ## ─ Packages ─────────────────────────────────────────────────────────────────── ## package * version date lib source @@ -479,13 +479,18 @@

      About the Authors

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      diff --git a/docs/code-review.html b/docs/code-review.html index e1511ba2..301eb045 100644 --- a/docs/code-review.html +++ b/docs/code-review.html @@ -407,13 +407,18 @@

      References

      Team, Smartbear. 2021. “Best Practices for Code Review.” Smartbear.com. https://smartbear.com/en/learn/code-review/best-practices-for-peer-code-review/. +
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      References

      Broman, Karl. 2016. “Tools for Reproducible Research.” https://kbroman.org/Tools4RR/. +
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      8.3 Get the exercise project file Get the Python project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      Get the R project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      @@ -418,13 +418,18 @@

      8.5 Exercise 2: Write a README fo

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      diff --git a/docs/index.html b/docs/index.html index dd103879..816df1f1 100644 --- a/docs/index.html +++ b/docs/index.html @@ -308,7 +308,7 @@

      About this Course

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      0.1 Available course formats

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      diff --git a/docs/index.md b/docs/index.md index 434ae074..b1d811bb 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,6 +1,6 @@ --- title: "Intro to Reproducibility in Cancer Informatics" -date: "October, 2022" +date: "March, 2024" site: bookdown::bookdown_site documentclass: book bibliography: [book.bib, packages.bib] diff --git a/docs/introduction.html b/docs/introduction.html index cba333a8..6985e6fa 100644 --- a/docs/introduction.html +++ b/docs/introduction.html @@ -358,13 +358,18 @@

      References

      Beaulieu-Jones, Brett K, and Casey S Greene. 2017. “Reproducibility of Computational Workflows Is Automated Using Continuous Analysis.” Nature Biotechnology 35 (4): 342–46. https://doi.org/10.1038/nbt.3780. +
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      4.2 Get the exercise project file Get the Python project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      Get the R project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      @@ -383,13 +383,18 @@

      4.3 Exercise: Set up a project on

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      diff --git a/docs/managing-package-versions.html b/docs/managing-package-versions.html index 43143be0..d7b17614 100644 --- a/docs/managing-package-versions.html +++ b/docs/managing-package-versions.html @@ -342,14 +342,14 @@

      6.2 Get the exercise project file Get the Python project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      Get the R project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      @@ -485,13 +485,18 @@

      References

      Beaulieu-Jones, Brett K, and Casey S Greene. 2017. “Reproducibility of Computational Workflows Is Automated Using Continuous Analysis.” Nature Biotechnology 35 (4): 342–46. https://doi.org/10.1038/nbt.3780.
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      diff --git a/docs/organizing-your-project.html b/docs/organizing-your-project.html index ba6b188d..071a271e 100644 --- a/docs/organizing-your-project.html +++ b/docs/organizing-your-project.html @@ -410,14 +410,14 @@

      3.4 Get the exercise project file Get the Python project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      Get the R project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      @@ -463,13 +463,18 @@

      References

      Tayo, Benjamin Obi. 2019. “How to Organize Your Data Science Project.” Medium. https://towardsdatascience.com/how-to-organize-your-data-science-project-dd6599cf000a.
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      References

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      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      Get the R project example files

      Click this link to download.

      -

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions).

      +

      Now double click your chapter zip file to unzip. For Windows you may have to follow these instructions.

      @@ -512,13 +512,18 @@

      References

      Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
      +
      +
      +
      + +
      + +
      +
      diff --git a/docs/writing-durable-code.html b/docs/writing-durable-code.html index dc879b54..f0dae65b 100644 --- a/docs/writing-durable-code.html +++ b/docs/writing-durable-code.html @@ -421,7 +421,7 @@

      7.2.0.4 Don’t be afraid to dele
    1. Keeping around old code makes it harder for you to write and troubleshoot new better code – it’s easier to confuse yourself. Sometimes a fresh start can be what you need.
    2. -
    3. With version control you can always return to that old code! (We’ll dive more into version control later on, but you’ve started the process by uploading your code to GitHub in chapter 4!)
    4. +
    5. With version control you can always return to that old code! (We’ll dive more into version control later on, but you’ve started the process by uploading your code to GitHub in chapter 4!)
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    This means you should not comment out old code. Just delete it! No code is so precious that you need to keep it commented out (particularly if you are using version control and you can retrieve it in other ways should you need it).

    Related to this, if you want to be certain that your code is reproducible, it’s worth deleting all your output, and re-running everything with a fresh session. The first step to knowing if your analysis is reproducible is seeing if you can repeat it yourself!

    @@ -568,7 +568,7 @@

    7.3.0.1 Python specific:

    7.3.0.2 R specific:

    @@ -985,13 +985,18 @@

    References

    Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.
    +
    +
    +
    + +
    + +
    +

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