Hi Ryan, On 19 January 2011 at 08:08, Sheftel, Ryan wrote: | I am looking for a comparison of the performance speed between xts and | zoo on time series. I remember once seeing this in a pdf document, | perhaps a magazine article?, but after extensive google-ing I have come | up blank. | | Any direction would be helpful before I reproduce the results myself.
xts is faster, period, as zoo started as more general (than just financial time series: "ordered objects") and is still R-code only. And as Gabor just restated, that is bound to change with some xts code expected to merge over to zoo at some point---though we have been told that for years. Xts on the other hand has compiled C and Fortran code for key operations making it very fast (and generally faster than zoo), as well as powerful. One example is the ISO8601 date parsing which can subset based on human-readable strings such as "2011-01-18 10:00/2011-01-19 10:30" getting you just that half-hour interval yesterday on intra-day data in an xts object. So in short, I usually start projects with xts. As for blazing fast, Jeff also has the 'indexing' package (as well as 'mmap') which go even further, and both together are competitive in access time with commercial offerings. Maybe you recall a writeup Jeff did for that? I can't recall a xts-vs-zoo horse race but maybe I missed it. Hope this helps, Dirk -- Dirk Eddelbuettel | [email protected] | http://dirk.eddelbuettel.com _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-finance -- Subscriber-posting only. If you want to post, subscribe first. -- Also note that this is not the r-help list where general R questions should go.
