Description Usage Arguments Details Value Author(s) See Also Examples
Smoothing spline estimate of median and mean absolute deviation (MAD).
1 | robustscale(y, x, nslice=400, corcenter=TRUE, decrease=TRUE)
|
y |
response |
x |
predictor |
nslice |
number of slices (should be "large") |
corcenter |
correct for center |
decrease |
force MAD to decrease with |
This divides data into roughly many nslice slices and computes
median and mean absolute deviation (mad) for each slice. These are
then smoothed using smooth.spline.
Data frame containing significant genes with the following information:
center |
estimate of center median |
scale |
MAD estimate of scale |
x |
ordered |
y |
|
Yi Lin
1 2 3 4 | ## Not run:
robustscale(y,x)
## End(Not run)
|
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