I have a dataframe âdf â with 3 columns. Details âof df are â as follows
> summary(df) Date TestVar type Min. :2002-05-10 00:00:00 Min. :-3.8531 Bottom: 313 1st Qu.:2005-05-09 12:00:00 1st Qu.:-0.7773 Other :2501 Median :2008-05-07 00:00:00 Median : 0.2482 Top : 313 Mean :2008-05-07 00:00:00 Mean : 0.1980 3rd Qu.:2011-05-05 12:00:00 3rd Qu.: 1.2250 Max. :2014-05-05 00:00:00 Max. : 3.6633 > str(df) 'data.frame': 3127 obs. of 3 variables: $ Date : POSIXlt, format: "2002-05-10" "2002-05-13" "2002-05-14" ... $ TestVar: num 1.34 2.02 1.39 1.54 2.45 ... $ type : Factor w/ 3 levels "Bottom","Other",..: 3 3 3 3 3 3 3 3 2 2 ... I have plotted the following density plot for column 2 i.e. TestVar and then color coded according to factor variable "type" <http://r.789695.n4.nabble.com/file/n4691999/Rplot01.jpeg> > ggplot(df)+ geom_density(aes(x=TestVar, color=type)) I now want to filter out data samples such that the density âcurve of "Top" is higher than "Bottom". Basically I need TestVar values for which blue line is higher than red line. How can this be achieved? Is there a way i can extract density values out of the plot? [[alternative HTML version deleted]]
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