KFprocess {TPMplt} | R Documentation |
Enhanced Kalman filter to reduce the noise of raw data
Description
Kalman filter reducing the noise in raw data if it is necessary.
Usage
KFprocess(x, manual = NULL, ...)
Arguments
x |
A data frame with |
manual |
An integer vector with the length of 3 where the 1st element denotes the layer for Stress and
Strain, the 2nd and 3rd elements represent the levels for Strain and Stress, respectively. The default setting is
NULL, which can call the function |
... |
The arguments dV and dW passed on to |
Value
A data frame with the identical shape as input data, but with the smoothed stress values.
See Also
Examples
# raw data without smoothing:
SSplots(TPMdata, 2, mfrow=c(2, 2))
# Smoothing to reduce the noise:
KFdt <-KFprocess(TPMdata, dV = 0.3, dW = 0.006)
SSplots(KFdt, 2, mfrow=c(2, 2))
[Package TPMplt version 0.1.4 Index]