Description Usage Arguments Value
Cubic smoothing spline fitting function for batch effect correction
1 | splineSmoother(x, y, newX, log = log, a = 1, spar, verbose = FALSE)
|
x |
QC sample measurement order indices. |
y |
Signal intensities. |
newX |
Range of sample indices to predict. |
log |
TRUE or FALSE to perform the signal correction fit on the log scaled data. Default is TRUE. |
a |
log scaling offset. |
spar |
Smoothing parameter of the fitted curve. Should be in the range 0 to 1. If set to 0 it will be estimated using leave-one-out cross-validation. |
verbose |
If set to TRUE will return messages from smooth.spline fit funtion |
vector of cubic smoothing spline fitted values
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