Day 14 – little helper print_fs

转载自：http://feedproxy.google.com/~r/RBloggers/~3/bZRGcgTA0n0/

Jakob Gepp
发表于

We at STATWORX 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 helfRlein. So, on the 14th day of Christmas my true love gave to me…

What can it do?

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.

How to use it?

If we take a look at the same example we used for the get_network function on day 5, we get the following:

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print_fs("~/flowchart/", depth = 4)


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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

With depth we can adjust how deep we want to traverse through our folders.

Overview

To see all the other functions you can either check out our GitHub or you can read about them here.

Have a merry advent season!

Über den Autor

Jakob Gepp

Numbers were always my passion and as a data scientist and statistician at STATWORX 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!

STATWORXis a consulting company for data science, statistics, machine learning and artificial intelligence located in Frankfurt, Zurich and Vienna. Sign up for our NEWSLETTER and receive reads and treats from the world of data science and AI. 

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