fsd.spca.inverse: Reconstruct the original functional data from the filters and...
In kuenzer/fsd: Functional Spatial Data: Spatial Functional PCA
Description
Usage
Arguments
Value
See Also
Examples
Description
This function is used to reconstruct the original functional data from the
filters and the score. It applies the transposed matrices of the filter
A to the scores.
Usage
1
fsd.spca.inverse(A, scores, mean.X = NULL)
Arguments
A
the filters.
scores
the scores as an array.
mean.X
the mean of X.
Value
X the reconstructed functional data
See Also
Examples
1
2
3
4
## Not run:
fsd.spca.inverse(A, scores)
## End(Not run)
kuenzer/fsd documentation built on July 21, 2020, 1:57 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function is used to reconstruct the original functional data from the
filters and the score. It applies the transposed matrices of the filter
A to the scores.
Usage
1 | fsd.spca.inverse(A, scores, mean.X = NULL)
|
Arguments
A |
the filters. |
scores |
the scores as an array. |
mean.X |
the mean of X. |
Value
X the reconstructed functional data
See Also
Examples
1 2 3 4 | ## Not run:
fsd.spca.inverse(A, scores)
## End(Not run)
|
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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