cramerV: Calculate Cramer's V (phi) Coefficient

In shiftR: Fast Enrichment Analysis via Circular Permutations

Description

This functions calculates Cramer's V coefficient for overlap of two binary data sets.

Usage

cramerV(sum12, sum1, sum2, len)

Arguments

len	Total number of elements in each data set.
sum1	Number of active features in data set 1.
sum2	Number of active features in data set 1.
sum12	Number of simultaneously active features in the data sets.

Value

Returns the Cramer's V coefficient.

Note

The parameters can be single values or vectors.

Author(s)

Andrey A Shabalin [e-mail]

Examples

# Zero score for perfect independence
cramerV(100,10000,10000,1000000)

# Positive score for increased overlap
cramerV(150,10000,10000,1000000)

# Negative score for decreased overlap
cramerV( 50,10000,10000,1000000)

# We can input a vector for sum12
cramerV(99:101,10000,10000,1000000)

shiftR documentation built on May 2, 2019, 3:41 a.m.