combinepatterns: Plot combined eigenvectors
In jeffniv/math5973NivProj2: A Simple Framework for Singular Spectrum Analysis
Description
Usage
Arguments
Details
Value
Examples
View source: R/combinepatterns.R
Description
A useful technique in Singular Spectrum Analysis is to look at the summed groupings
of eigenvectors. These groupings can usually reveal the interframe signal.
Usage
1
combinepatterns(ssa, pcs)
Arguments
ssa
an 'ssa' class object
pcs
a vector specifying which eigenvectors to group
Details
Oscillating patterns that are close in eigenvalue magnitude usually represent a signal component that cannot be represented by a single sinusoid.
Value
None
Examples
1
2
obj=ssa(co2,18)
combinepatterns(obj,2:3)
jeffniv/math5973NivProj2 documentation built on April 30, 2020, 8:11 p.m.
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Description Usage Arguments Details Value Examples
View source: R/combinepatterns.R
Description
A useful technique in Singular Spectrum Analysis is to look at the summed groupings of eigenvectors. These groupings can usually reveal the interframe signal.
Usage
1 | combinepatterns(ssa, pcs)
|
Arguments
ssa |
an 'ssa' class object |
pcs |
a vector specifying which eigenvectors to group |
Details
Oscillating patterns that are close in eigenvalue magnitude usually represent a signal component that cannot be represented by a single sinusoid.
Value
None
Examples
1 2 | obj=ssa(co2,18)
combinepatterns(obj,2:3)
|
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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