dlrs: Calculate the Derivative Log Root Square (DLRS)
In seandavi/Rpressa: A collection of useful code for bioinformatics

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

The DLRS is a robust estimate of the standard deviation. It is useful for determining the local spread of a distribution, such as for determining the noise in a CGH array.

dlrs(x)

`x`	A numeric vector.

The DLRS is a robust estimate of the standard deviation. It is useful for determining the local spread of a distribution, such as for determining the noise in a CGH array.

A single numeric value representing the DLRS.

Sean Davis <seandavi@gmail.com>

mad

x <- rnorm(10000)
dlrs(x)
sd(x)
# note that a shift of a large chunk of the data
# does not significantly alter the dlrs, but it
# does alter the sd.
x[5000:7000] <- x[5000:7000]+10
dlrs(x)
sd(x)