Experiment for the Quick Start Guide to R in Azure Machine Learning

February 10, 2015

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This experiment is developed in the Quick Start Guide to R in Azure Machine Learning.
This experiment is the example developed in my [Quick Start Guide to R in Azure ML Studio](http://azure.microsoft.com/en-gb/documentation/articles/machine-learning-r-quickstart). R code and data for this example is available in the [Git repo](https://github.com/Quantia-Analytics/AzureML-R-Quick-Start). The California dairy production and price data is in the file cadairydata.csv. Code for each section of the Quick Start Guide is in a separate .R file. For example, the code for the example in Section 3 is in the Section3.R file. The code examples run in R, RStudio and in an Azure ML Execute R Script module. You will need to change which lines of I/O code are commented out when switching between R/RStudio and Azure ML. Read the comments in the code to see which lines of code to change. Companion videos are available: * [Using R in Azure ML](https://www.youtube.com/watch?v=G0r6v2k49ys) * [Time series model with R in Azure ML](https://www.youtube.com/watch?v=q-PJ3p5C0kY)