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<h1 class="title toc-ignore">Setup for Divvy data analysis</h1>
<h4 class="author"><em>Peter Carbonetto</em></h4>
</div>
<!-- The file analysis/chunks.R contains chunks that define default settings
shared across the workflowr files. -->
<!-- Update knitr chunk options -->
<!-- Insert the date the file was last updated -->
<p><strong>Last updated:</strong> 2018-01-18</p>
<!-- Insert the code version (Git commit SHA1) if Git repository exists and R
package git2r is installed -->
<p><strong>Code version:</strong> 93a3a86</p>
<p>To reproduce the results on your own computer, please follow these setup instructions.</p>
<div id="setup-instructions" class="section level2">
<h2>Setup instructions</h2>
<p>Download or clone the <a href="https://github.com/stephenslab/wflow-divvy">git repository</a> on your computer.</p>
<p>Download the Divvy data files and copy the files to the “data” directory. I have provided a script <code>code/retrieve_divvy_data.sh</code> that will automatically retrieve the data files and move them to the expected location. Alternatively, you can view this script and follow the steps by hand. After completing this step, these files should be in the data directory:</p>
<pre><code>Divvy_Stations_2016_Q1Q2.csv
Divvy_Stations_2016_Q3.csv
Divvy_Stations_2016_Q4.csv
Divvy_Trips_2016_04.csv
Divvy_Trips_2016_05.csv
Divvy_Trips_2016_06.csv
Divvy_Trips_2016_Q1.csv
Divvy_Trips_2016_Q3.csv
Divvy_Trips_2016_Q4.csv</code></pre>
<p>Install <a href="http://cran.r-project.org">R</a> and/or <a href="https://www.rstudio.com/products/rstudio">Rstudio</a>.</p>
<p>Install the R packages used for the analyses:</p>
<pre class="r"><code>install.packages(c("data.table","ggplot2"))</code></pre>
<p>Once you have completed these steps, you may run the R code. When running the code, make sure your working directory is set to the “analysis” directory, e.g.,</p>
<pre class="r"><code>getwd()
# [1] "/Users/pcarbo/git/wflow-divvy/analysis"</code></pre>
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<div id="session-information" class="section level2">
<h2>Session information</h2>
<p>This is the version of R and the packages that were used to generate the results from the R Markdown documents.</p>
<pre class="r"><code>sessionInfo()
# R version 3.4.3 (2017-11-30)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS High Sierra 10.13.2
#
# 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_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#
# attached base packages:
# [1] stats graphics grDevices utils datasets methods base
#
# loaded via a namespace (and not attached):
# [1] compiler_3.4.3 backports_1.1.2 magrittr_1.5 rprojroot_1.3-2
# [5] tools_3.4.3 htmltools_0.3.6 yaml_2.1.16 Rcpp_0.12.14
# [9] stringi_1.1.6 rmarkdown_1.8 knitr_1.18 git2r_0.21.0
# [13] stringr_1.2.0 digest_0.6.13 evaluate_0.10.1</code></pre>
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