functional programming

Dealing with Interval Data and the nycflights13 package using R, Part 2

In this post, I’ll continue my discussion of working with regularly sampled interval data using R. (See my previous post for some insight regarding minute data.) The discussion here is focused more so on function design. Daily Data When I’ve worked with daily data, I’ve found that the .csv files tend to be much larger than those for data sampled on a minute basis (as a consequence of each file holding data for sub-daily intervals).