SVRModel {TPMplt} | R Documentation |
Build support vector regression result
Description
Return a table with continuous values for eta and xi, based on prediction built by support vector regression model (SVR). The kernel function in SVR is radial basis.
Usage
SVRModel(x, seqby = 80)
Arguments
x |
The calculation result returned from the function |
seqby |
A numeric value to specify the grid density. Default value is 80, namely the default mesh for original plot uses 80*80. |
Value
A data frame including continuous values for eta and xi, calculated based on the discrete values for
eta and xi returned from DMMprocess
. The strain condition in current calculation
is also included.
See Also
Examples
epstable <- epsExtract(TPMdata, 0.7, 2, 3)
DMM <- DMMprocess(epstable)
PLTbd <- SVRModel(DMM)
PLTbd
[Package TPMplt version 0.1.4 Index]