huber {DIME} | R Documentation |
Huber's weight function
Description
A weight functions used to downweigh outliers.
Usage
huber(input, co, shape = c("full", "lower", "upper"))
Arguments
input |
an R list of vector of normalized mean (log intensities). |
co |
cutoff used in determining weights. |
shape |
parameter determining which outliers are weighted: "full" - both values above and below -threshold are downweighted;\ "lower" - only values below threshold are downweighted; \ "upper" - only values above threshold are downweighted. |
Value
a vector of weights.
Author(s)
Dustin Potter
References
Huber, P. J. (1981) Robust Statistics. John Wiley & Sons
[Package DIME version 1.3.0 Index]