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I love interactive pivot tables. That is the number one reason why I keep using spreadsheet software. The ability to look at data quickly in lots of different ways, without a single line of code helps me to get an understanding of the data really fast. Perhaps I can do the same now in R as well. At yesterday’s LondonR meeting Enzo Martoglio presented briefly his rpivotTable package. Enzo builds on
Last week’s post about the Kalman filter focused on the derivation of the algorithm. Today I will continue with the extended Kalman filter (EKF) that can deal also with nonlinearities. According to Wikipedia the EKF has been considered the de facto standard in the theory of nonlinear state estimation, navigation systems and GPS. I had the following dynamic linear model for the Kalman filter last w
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