I use the R package zoo to plot a yearly time series of weekly averaged data. The problem is that my date variable (m.all$date) contains week numbers and these are plotted as x-Axis. What I would rather like to to … Continue reading →

I use the R package zoo to plot a yearly time series of weekly averaged data. The problem is that my date variable (m.all$date) contains week numbers and these are plotted as x-Axis. What I would rather like to to … Continue reading →

(This post got published on The Statistics Forum yesterday.) The short book review section of the International Statistical Review sent me Raquel Prado’s and Mike West’s book, Time Series (Modeling, Computation, and Inference) to review. The current post is not about this specific book, but rather on why I am unsatisfied with the textbooks in

It's been a while since I've had the chance to add anything here, but last time I left everyone with some scatter plots and some customization tools for your graphics. This week will be a little more brief than the last few tutorials and what I'd like to do is show you how to display line graphs for...

I’ve recently been looking at (http://www.geo.uni-potsdam.de/member-details/show/108.html ‘Martin Trauth’s web page at The University of Potsdam Institute of Earth and Environmental Science’)'s book MATLAB® Recipes for Earth Sciences to try to understand what some of my palaeoceanography colleagues are doing with their data analyses (lots of frequency domain time series techniques and a...

This morning I came across a post which discusses the differences between scala, ruby and python when trying to analyse time series data. Essentially, there is a text file consisting of times in the format HH:MM and we want to get an idea of its distribution. Tom discusses how this would be a bit clunky

If you need to generate synthetic wind speed time series, you may find useful the procedure described in “A Markov method for simulating non-gaussian wind speed time series” by G.M. McNerney and P.S. Veers (Sandia Laboratories, 1985), and “Estimation of extreme wind speeds with very long return periods” by M.D.G Dukes and J.P. Palutikof (Journal

There are various ways to plot data that is represented by a time series in R. The ggplot2 package has scales that can handle dates reasonably easily. Fast Tube by Casper As an example consider a data set on the number of views of the you tube channel ramstatvid. A short snippet of the data is shown