I don't know if you can get the information from the plot, but you can
certainly get it from the density() function directly. For example,
# fake data
TestVar <- rnorm(60)
type <- rep(c("Bottom", "Other", "Top"), 20)
# density of TestVar for each type, estimated at 100 points along range of
Test
I have a dataframe
âdf â
with 3 columns. Details
âof df are â
as follows
> summary(df)
DateTestVartype
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:
2 matches
Mail list logo