Dear R users,
For a uni-variable distribution represented in a numerical vector,
we can obtain a distribution function using 'ecdf', and then calculate
corresponding p-values. But if I have a 2-column dataframe representing
a bi-variable joint distribution, given a pair of values, how can I get
the p-value? And how can I plot out the density of the joint distribution?
Best wishes,
Leon
p-value calculation on a joint distribution
2 messages · Leon Yee, Greg Snow
5 days later
I don't think that the p-value concept is as well defined for multivariate distributions. Do you want the area under the curve corresponding to (x < t.x & y < t.y) or (x < t.x | y < t.y) or ( t.x + t.y < C ) or all the area where the height of the density is less than at t.x,t.y? or possibly others Do you have the definition of the density? Or is the data frame a representation of the heights of the distribution at given x and y coordinates? If the second, do they x and y coordinates form a grid? Or some random pattern? Etc.?
Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.snow at imail.org 801.408.8111 > -----Original Message----- > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of Leon Yee > Sent: Tuesday, November 10, 2009 11:23 PM > To: R help > Subject: [R] p-value calculation on a joint distribution > > Dear R users, > > For a uni-variable distribution represented in a numerical vector, > we can obtain a distribution function using 'ecdf', and then calculate > corresponding p-values. But if I have a 2-column dataframe representing > a bi-variable joint distribution, given a pair of values, how can I get > the p-value? And how can I plot out the density of the joint > distribution? > > Best wishes, > > Leon > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code.