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(This article was first published on <strong><a href="https://www.statworx.com/de/blog/day-14-little-helper-print_fs/"> r-bloggers – STATWORX</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>We at <a rel="nofollow" href="https://www.statworx.com/" target="_blank">STATWORX</a> work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but soon I realised, that it will be much easier to share and improve those functions, if they are within a package. Up till the 24th December I will present one function each day from <a rel="nofollow" href="https://github.com/STATWORX/helfRlein" target="_blank"><code>helfRlein</code></a>. So, on the 14th day of Christmas my true love gave to me…</p>
<p><img alt="door-14-print-fs" src="https://i1.wp.com/www.statworx.com/wp-content/uploads/door-14-print-fs.png?w=450&ssl=1" class="wp-image-16311" data-recalc-dims="1"></p>
<h2>What can it do?</h2>
<p>This little helper returns the folder structure of a given path. With this, one can for example add a nice overview to the documentation of a project or within a git. For the sake of automation, this function could run and change parts wihtin a log or news file after a major change.</p>
<h2>How to use it?</h2>
<p>If we take a look at the same example we used for the <code>get_network</code> <a rel="nofollow" href="https://www.statworx.com/blog/day-05-little-helper-get_network/" target="_blank">function on day 5</a>, we get the following:</p>
<pre><code>print_fs(&quot;~/flowchart/&quot;, depth = 4)
</code></pre>
<pre><code lang="r">1  flowchart                            
2   ¦--create_network.R                 
3   ¦--getnetwork.R                     
4   ¦--plots                            
5   ¦   ¦--example-network-helfRlein.png
6   ¦   °--improved-network.png         
7   ¦--R_network_functions              
8   ¦   ¦--dataprep                     
9   ¦   ¦   °--foo_01.R                 
10  ¦   ¦--method                       
11  ¦   ¦   °--foo_02.R                 
12  ¦   ¦--script_01.R                  
13  ¦   °--script_02.R                  
14  °--README.md 
</code></pre>
<p>With <code>depth</code> we can adjust how deep we want to traverse through our folders.</p>
<h2>Overview</h2>
<p>To see all the other functions you can either check out our <a rel="nofollow" href="https://github.com/STATWORX/helfRlein" target="_blank">GitHub</a> or you can read about them <a rel="nofollow" href="https://www.statworx.com/tag/helfrlein/" target="_blank">here</a>.</p>
<p>Have a merry advent season!</p>
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<h6>Über den Autor</h6>
<p><img src="https://i1.wp.com/www.statworx.com/wp-content/uploads/jakob-1-300x300.jpg?resize=180%2C180&ssl=1" width="180" alt="Jakob Gepp" class="wp-user-avatar wp-user-avatar-180" data-recalc-dims="1" height="180"></p>
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<h4>Jakob Gepp</h4>
<p>Numbers were always my passion and as a data scientist and statistician at <a rel="nofollow" href="https://www.statworx.com/" target="_blank">STATWORX</a> I can fullfill my nerdy needs. Also I am responsable for our blog. So if you have any questions or suggestions, just send me an email!</p>
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<p>Der Beitrag <a rel="nofollow" href="https://www.statworx.com/de/blog/day-14-little-helper-print_fs/" target="_blank">Day 14 – little helper print_fs</a> erschien zuerst auf <a rel="nofollow" href="https://www.statworx.com/de/" target="_blank">STATWORX</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://www.statworx.com/de/blog/day-14-little-helper-print_fs/"> r-bloggers – STATWORX</a></strong>.</div>
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