If I understand correctly the ContourLines function gives you the contour
lines when you put in the data. But before this I need to data to put into
that function. I think this is something like a 2D CDF of the data that
then leads to the 2D quantiles but I am not 100% sure. What I am basically
looking for is the 2D curve that encloses say 95% of the data in a similar
fashion to a 1D quantile where the quantile represents the value that x% of
the data is below. I think what I am looking for is the 2D bivariate
version of the 1D quantile plot (where the quantile value is plotted vs the
% value).
I hope this makes some sense.
Bernard McGarvey
Director, Fort Myers Beach Lions Foundation, Inc.
Retired (Lilly Engineering Fellow).
On March 27, 2019 at 3:57 PM Paul Murrell <paul at stat.auckland.ac.nz>
Are you looking for the contourLines() function ?
Paul
On 28/03/19 8:37 AM, Bernard McGarvey wrote:
John, I have attached a pdf of the plot. Hopefully you can read this.
If I understand correctly, this plot is basically the 2-D version of
Thanks
Bernard McGarvey
Director, Fort Myers Beach Lions Foundation, Inc.
Retired (Lilly Engineering Fellow).
On March 27, 2019 at 7:44 AM John Kane <jrkrideau at gmail.com> wrote:
The figure did not get through. Perhaps try a pdf?
On Tue, 26 Mar 2019 at 13:41, Bernard McGarvey
<mcgarvey.bernard at comcast.net> wrote:
I want to see if I can reproduce the plot below in R. If I
understand it correctly, i takes my bivariate data and creates quantile
density contours. My interpretation of these contours is that they enclose
a certain % of the total data. I am using the bkde2D function in library
KernSmooth which gives density values that can be plotted on a contour plot
but I would like the curves that enclose a given % of the data, if that is
possible
Thanks
Bernard McGarvey
Director, Fort Myers Beach Lions Foundation, Inc.
Retired (Lilly Engineering Fellow).