dLRs {aCGH.Spline}R Documentation

Caculate the DLR Spread.

Description

Calculates the "DLR spread" - derivative log2 ratio spread.

Usage

dLRs(x)

Arguments

x - vector of log ratio values.

Details

Calculates the probe-to-probe log ratio difference of an array. This is a noise estimation which is robust to outliers.

Value

The derivative log2 ratio spread.

Note

A value used to compute the minimum log ratio difference needed to detect an outlier.

Author(s)

Tomas William Fitzgerald

References

Agilent

See Also

http://www.home.agilent.com/agilent/home.jspx

Examples

r1 = rnorm(100, 0, 3)
dLRs(r1)
r2 = rnorm(100, 0, 5)
dLRs(r2)

[Package aCGH.Spline version 2.2 Index]