cpsets: Multi-Set Intersection Probability

In mw201608/SuperExactTest: Exact Test and Visualization of Multi-Set Intersections

Multi-Set Intersection Probability

Description

Density and distribution function of multi-set intersection test.

Usage

dpsets(x,L,n,log.p =FALSE)
cpsets(x,L,n,lower.tail=TRUE,log.p=FALSE,
       simulation.p.value=FALSE,number.simulations=1000000)

Arguments

x	integer, number of elements overlap among all sets.
L	vector, set sizes.
n	integer, background population size.
lower.tail	logical; if TRUE, probability is P[overlap <= x], otherwise, P[overlap > x].
log.p	logical; if TRUE, probability p is given as log(p).
simulation.p.value	logical; if TRUE, probability p is computed from simulation.
number.simulations	integer; number of simulations.

Value

dpsets gives the density and cpsets gives the distribution function.

Author(s)

Minghui Wang <[e-mail]>

References

Minghui Wang, Yongzhong Zhao, and Bin Zhang (2015). Efficient Test and Visualization of Multi-Set Intersections. Scientific Reports 5: 16923.

See Also

supertest, MSET

Examples

## Not run: 
#set up fake data
n=500; A=260; B=320; C=430; D=300; x=170
(d=dpsets(x,c(A,B,C,D),n))
(p=cpsets(x,c(A,B,C,D),n,lower.tail=FALSE))

## End(Not run)

mw201608/SuperExactTest documentation built on Jan. 17, 2024, 5:47 p.m.