Bayesian.Ninja

Working with Soft drinks sales data (Section 2.3) The images produced to analyze the time series are not standard R graphics. As such I needed to dig a little deeper to replicate them. The were two tricks required to replicate this, How to draw one plot over another. How to use the same axis definition for all three plots. (these are hard coded). While researching this I noticed that thi=s example does not even scratch the surface of R's capabilities for handling time series. However perhaps these are covered later. Anyhow here is the image As explained the sales figure can be seen to have a periodic element and growth element - possibly exponential. Plotting the simpler unenhanced plot side by sided requires the layout command. I may do this later, but now it is time to move on. Further reading Data galore: Time series Data Library R as a Tool in Computational Finance by +John P. Nolan a little book of R for time series  by  ...

Wolfgang Jank's text  "Business Analytics for Managers" is part of the Use R! series published in 2011 by Springer. It stand out as easy introduction for using R for exploratory data analytic and data modeling at an introductory level. While R and statistics are skill not easily acquired  working with the book makes for an easy learning curve by focusing on the business side of the work while omitting much of the platform specific implementation details. This makes some sense if the manager will want to ask someone else to work with R to get him the results. The text explains how to work with different type of data and how a manager would  analyse the different data-sets. It explains the benefits of using a large cross section of R's visualization techniques for assessing unfamiliar data for global or cross sectional patterns. It then goes on to explain the...