How does one then interpret kernel density distributions with values greater
than one?
My output from the density function.
---
density(delt.m[[1]][,6], na.rm=TRUE)
Call:
density.default(x = delt.m[[1]][, 6], na.rm = TRUE)
Data: delt.m[[1]][, 6] (171 obs.); Bandwidth 'bw' = 0.004501
x y
Min. :-0.05211 Min. : 0.00586
1st Qu.:-0.02177 1st Qu.: 0.43632
Median : 0.00856 Median : 3.08833
Mean : 0.00856 Mean : 8.23366
3rd Qu.: 0.03889 3rd Qu.:14.97542
Max. : 0.06923 Max. :30.04107
--
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