[R-bloggers] Time Series Analysis in ArcGIS (and 5 more aRticles)

Time Series Analysis in ArcGIS

In this post I will introduce another toolbox I created to show the functions that can be added to ArcGIS by using R and the R-Bridge technology.

In this toolbox I basically implemented the functions I showed in the previous post about time series analysis in R.

Once again I prepared a sample dataset that I included in the GitHub archive so that you can reproduce the experiment I’m presenting here. I will start my description from there.

Finish line (nearly)

We are very close to the finish line $-$ that’s being able to finally submit the BCEA book to the editor (Springer).

This has been a rather long journey, but I think the current version (I dread using the word “final” just yet…) is very good, I think. We’ve managed to respond to all the reviewers’ comments, which to be fair were rather helpful and so this should have improved the book. 

Most Probable Birth Month

In a previous post I showed that the data from www.baseball-reference.com support Malcolm Gladwell’s contention that more professional baseball players are born in August than any other month. Although this might be explained by the 31 July cutoff for admission to baseball leagues, it was suggested that it could also be linked to alarger proportion of babies being born in August.

recosystem: Recommender System Using Parallel Matrix Factorization

The main task of recommender system is to predict unknown entries in the
rating matrix based on observed values, as is shown in the table below:

New Open Course: Statistical Inference with swirl

The DataCamp team is excited to announce another course using swirl. This free course adapts the Statistical Inference curriculum from swirl to the interactive DataCamp in-browser interface. Log-on and get started! 

As.Date() Exercises

The as.date() function creates objects of the class “Date“, via input of character representations of dates.

Answers to the exercises are available here.