Meetup 09-2016 Minutes

September 2016 Meetup Minutes - Forecast Time Series Brainstorming

September 27, 2016

**Brainstorm Forecasting**

A brainstorming session about forecasting time series in R.

First we discussed the topic data structures. Regular time series data can be represented using the ts class which is already included in the basic R installation (as part of the stats package). By contrast, irregular time series data can be represented by the popular zoo objects (or xts). Most (ARIMA-)forecasting methods require regular time series.

The following R packages have been identified to support time series forecasting:


The following potential projects covering simple time series forecasting examples have been discussed/requested:

  • Google Trends data (e.g. Influenza)
  • Company data, e.g. Revenues
  • Bike Traffic in Vienna
  • Stock Prices, Volatility (GARCH)
  • Birdlife data, see data for Bavaria e.g. 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009

The projects will be presented during the November R-Meetup (contributions welcome!).


The next meetup will cover the sparklyr package presented by Roland Boubela.