Exploratory Data Analysis – Kernel Density Estimation and Rug Plots in R on Ozone Data in New York and Ozonopolis

The Chemical Statistician

Update on July 15, 2013:

Thanks to Harlan Nelson for noting on AnalyticBridge that the ozone concentrations for both New York and Ozonopolis are non-negative quantities, so their kernel density plot should have non-negative support sets.  This has been corrected in this post by

– defining new variables called max.ozone and max.ozone2

– using the options “from = 0” and “to = max.ozone” or “to = max.ozone2” in the density() function when defining density.ozone and density.ozone2 in the R code.

Update on February 2, 2014:

Harlan also noted in the above comment that any truncated kernel density estimator (KDE) from density() in R does not integrate to 1 over its support set.  Thanks to Julian Richer Daily for suggesting on AnalyticBridge to scale any truncated kernel density estimator (KDE) from density() by its integral to get a KDE that integrates to 1 over its support set.  I have used my…

View original post 1,111 more words

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