monoSpline: Fitting a curve with monotonic spline
In lumi: BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Fitting a curve with monotonic spline
Usage
1
monoSpline(x, y, newX=NULL, nKnots = 6, ifPlot = FALSE)
Arguments
x
a vector represents x values
y
a vector represents y values
newX
the new values to be transformed. If not provided, "x" will be used.
nKnots
parameter used by function smoothCon in package mgcv
ifPlot
determine whether to plot intermediate results
Details
Function internally called by monoSmu
Value
return the transformed "newX" based on the smoothed curve
Author(s)
Simon Lin, Pan Du
See Also
lumi documentation built on Nov. 8, 2020, 5:27 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Fitting a curve with monotonic spline
Usage
1 | monoSpline(x, y, newX=NULL, nKnots = 6, ifPlot = FALSE)
|
Arguments
x |
a vector represents x values |
y |
a vector represents y values |
newX |
the new values to be transformed. If not provided, "x" will be used. |
nKnots |
parameter used by function smoothCon in package mgcv |
ifPlot |
determine whether to plot intermediate results |
Details
Function internally called by monoSmu
Value
return the transformed "newX" based on the smoothed curve
Author(s)
Simon Lin, Pan Du
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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