Description Usage Arguments Value Examples
View source: R/maxLikOverlap.R
This function uses the ML estimated means and covariances matrices of two specified groups to calculate the area of overlap.
1 2  maxLikOverlap(ellipse1, ellipse2, siber.object, p.interval = 0.95, n = 100,
do.plot = FALSE)

ellipse1 
character code of the form 
ellipse2 
same as 
siber.object 
an object created by 
p.interval 
the prediction interval used to scale the ellipse as per

n 
the number of points on the edge of the ellipse used to define it.
Defaults to 
do.plot 
logical switch to determine whether the corresponding ellipses
should be plotted or not. A usecase would be in conjunction with a low
numebr od 
A vector comprising three columns: the area of overlap, the area of
the first ellipse and the area of the second ellipse and as many rows as
specified by draws
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14  # load in the included demonstration dataset data("demo.siber.data")
siber.example < createSiberObject(demo.siber.data)
# The first ellipse is referenced using a character string representation
# where in "x.y", "x" is the community, and "y" is the group within that
# community.
ellipse1 < "1.2"
# Ellipse two is similarly defined: community 1, group3
ellipse2 < "1.3"
# the overlap betweeen the corresponding 95% prediction ellipses is given by:
ellipse95.overlap < maxLikOverlap(ellipse1, ellipse2, siber.example,
p.interval = 0.95, n = 100)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.