October 2020
Beginner to intermediate
928 pages
23h 32m
English
Content preview from The Big R-Book
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♣34♣An Automated Development Cycle
R allows for a completely automated development cycle, from data extraction over data-wrangling, data exploration, modelling, and reporting. There are so many possible ways to automate a model development cycle, and there is no clear best solution. When building an automated modelling cycle it is, however, worth to consider the following hints.
- R has a function
source()that allows to read in a file of commands – for example the file that loads in the new dataset or provides some frequently used functions.
- R can be invoked from the command line and from the command line we can ask R to execute some commands. We demonstrated this in previous section (Chapter 33 “knitr and LATEX” on page 703). This implies that together with the
source()function it is possible to automate about everything. - Further adding the governing commands to the
crontabfile of your computer will cause them to be executed at any regular or irregular time interval that you might choose. For example, we can run every week a file that extracts data from the servers and updates our data-mart or we can run a weekly dashboard that checks the performance of our models. - While database servers have their own variations of the
source()function and can usually also be controlled fromthe command line, it is also possible to access those database servers from R – as demonstrated in Chapter 15 “Connecting R to an SQL Database” on page 253.
For example ...
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