Last updated: 2018-11-10
workflowr checks: (Click a bullet for more information) ✔ R Markdown file: up-to-date
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.
✔ Environment: empty
Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.
✔ Seed:
set.seed(20181015)
The command set.seed(20181015)
was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.
✔ Session information: recorded
Great job! Recording the operating system, R version, and package versions is critical for reproducibility.
✔ Repository version: a6720f8
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: .DS_Store
Ignored: .Rhistory
Ignored: .Rproj.user/
Ignored: analysis/.DS_Store
Ignored: analysis/data/
Ignored: analysis/package.Rmd
Ignored: assets/
Ignored: docs/.DS_Store
Ignored: docs/assets/Boettiger-2018-Ecology_Letters.pdf
Ignored: docs/assets/Packaging-Data-Analytical Work-Reproducibly-Using-R-and-Friends.pdf
Ignored: docs/css/
Ignored: libs/
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.
File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | a6720f8 | annakrystalli | 2018-11-10 | add devtools and licensing details |
html | c1a4359 | annakrystalli | 2018-11-10 | Build site. |
html | b3641c1 | annakrystalli | 2018-10-31 | Build site. |
Rmd | 4d9cddb | annakrystalli | 2018-10-31 | edit description |
Rmd | 8615159 | annakrystalli | 2018-10-30 | commit straglers |
html | 8615159 | annakrystalli | 2018-10-30 | commit straglers |
html | 921a7f8 | annakrystalli | 2018-10-30 | commit docs |
Rmd | 99529cf | annakrystalli | 2018-10-15 | update readme with NW R day details, add workshop index |
Rmd | 572d00b | annakrystalli | 2018-10-15 | Start workflowr project. |
rrtools
Intermediate
Familiarity with Version Control through RStudio and rmarkdown.
If you don’t have LaTeX installed, consider installing TinyTeX
, a custom LaTeX distribution based on TeX Live that is small in size but functions well in most cases, especially for R users.
Check docs before before installing.
devtools
requirementsYou might also need a set of development tools to install and run devtools
. On Windows, download and install Rtools, and devtools
takes care of the rest. On Mac, install the Xcode command line tools. On Linux, install the R development package, usually called r-devel
or r-base-dev
.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research compendium cboettig/noise-phenomena: Supplement to: “From noise to knowledge: how randomness generates novel phenomena and reveals information” by Carl Boettiger licensed under CC BY 4.0.
Marwick, B., Boettiger, C. & L. Mullen (2017). Packaging data analytical work reproducibly using R (and friends). PeerJ Preprints 5:e3192v1 https://doi.org/10.7287/peerj.preprints.3192v1
R version 3.4.4 (2018-03-15)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS 10.14.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] workflowr_1.1.1 Rcpp_0.12.19 digest_0.6.18
[4] rprojroot_1.3-2 R.methodsS3_1.7.1 backports_1.1.2
[7] git2r_0.23.0 magrittr_1.5 evaluate_0.11
[10] stringi_1.2.4 whisker_0.3-2 R.oo_1.21.0
[13] R.utils_2.6.0 rmarkdown_1.10 tools_3.4.4
[16] stringr_1.3.1 yaml_2.2.0 compiler_3.4.4
[19] htmltools_0.3.6 knitr_1.20
This reproducible R Markdown analysis was created with workflowr 1.1.1