cond_prob: Conditional probability calculator.
In ECGen/coNet: Model and analyze co-occurrence based networks

Description Usage Arguments Value Note Author(s) Examples

View source: R/cond_prob.R

Calculates conditional probabilities using co-occurrences using Bayes' Theorem, such that P(A|B) = \frac{P(A,B)}{P(B)}, where P(A,B) = \frac{(A,B)}{N}, P(B) = \frac{(B)}{N} and N is the total number of observational units.

1	cond_prob(a, b)

`a`	A set of repeated observations of occurrences.
`b`	Another set of repeated observations of occurrences.

Returns the conditional probabilities.

This is primarily a low-level function used by coNet, it may be of interest to more advanced users.

Matthew K. Lau

A <- c(1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1)
B <- c(1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1)
cond_prob(A, B)

C <- c(1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1)
D <- c(0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0)

cond_prob(C, D)