Last updated: 2018-09-05
workflowr checks: (Click a bullet for more information) ✔ R Markdown file: up-to-date
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set.seed(20180820)
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✔ Session information: recorded
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✔ Repository version: a8bba98
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/assets/
Ignored: data-raw/
Ignored: data/csv/
Ignored: data/raster/
Ignored: data/sf/
Ignored: docs/.DS_Store
Untracked files:
Untracked: .Rbuildignore
Untracked: analysis/mapping.Rmd
Unstaged changes:
Modified: .gitignore
Modified: analysis/_site.yml
Modified: analysis/index.Rmd
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 |
---|---|---|---|---|
html | a8bba98 | annakrystalli | 2018-09-05 | Build site. |
Rmd | 592790b | annakrystalli | 2018-09-05 | workflowr::wflow_publish(“analysis/intro.Rmd”) |
html | acb8236 | annakrystalli | 2018-09-04 | Build site. |
Rmd | 37ee106 | annakrystalli | 2018-09-04 | workflowr::wflow_publish(“analysis/intro.Rmd”) |
html | aacbdfc | annakrystalli | 2018-09-04 | Build site. |
html | b1c1223 | annakrystalli | 2018-09-04 | Build site. |
Rmd | e410fc8 | annakrystalli | 2018-09-04 | workflowr::wflow_publish(c(“analysis/index.Rmd”, |
On github: https://github.com/annakrystalli/gis-workshop + click on Clone or download + click on Download ZIP + Unzip the file
We will be working in an Rstudio project. I recommend this workflow for all your projects because it keeps your work portable and self contained
We will also be using Rmd notebooks. I like them because you can see the outputs of code as you write. You can also make notes around your code using markdown. See further resources for more details.
The majority of the workshop I will be live coding 😨 so that you can follow along. You will get a lot more out of the workshop if you do.
sf
) have drastically simplified spatial data classes and workflows.sessionInfo()
R version 3.4.4 (2018-03-15)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.3
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] Rcpp_0.12.18 rstudioapi_0.7 knitr_1.20
[4] whisker_0.3-2 magrittr_1.5 workflowr_1.0.1
[7] rlang_0.2.1 stringr_1.3.1 tools_3.4.4
[10] R.oo_1.21.0 git2r_0.21.0 htmltools_0.3.6
[13] yaml_2.1.19 rprojroot_1.3-2 digest_0.6.15
[16] assertthat_0.2.0 crayon_1.3.4 purrr_0.2.5
[19] R.utils_2.6.0 glue_1.2.0.9000 evaluate_0.11
[22] rmarkdown_1.10 emo_0.0.0.9000 stringi_1.2.4
[25] compiler_3.4.4 backports_1.1.2 R.methodsS3_1.7.1
[28] lubridate_1.7.4
This reproducible R Markdown analysis was created with workflowr 1.0.1