dLRs: Caculate the DLR Spread.

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

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

Usage

1
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

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

Example output

[1] 3.310133
[1] 4.727998

ADM3 documentation built on May 29, 2017, 6:05 p.m.

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