pc.var: A function to calculate variance explained by each Principal...
In neuroconductor/medals: Performs Memory Efficient Decomposition for Analysis of Local neighborhood moments for Segmentation
Description
Usage
Arguments
Value
Description
This function returns the variance explained by each PC and the cumulative variance explained in the medals package, this should be used with the output of imaging.cp
Usage
1
pc.var(mat, n)
Arguments
mat
The crossproduct matrix, this can be the output of imaging.cp
n
The number of observations in the original matrix. This can be the output for imaging.suff.stat
Value
List of 2 elements: var: variance of each
component, cum_pct: cumulative percent variance explained
neuroconductor/medals documentation built on Oct. 18, 2020, 11:51 a.m.
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Description Usage Arguments Value
Description
This function returns the variance explained by each PC and the cumulative variance explained in the medals package, this should be used with the output of imaging.cp
Usage
1 | pc.var(mat, n)
|
Arguments
mat |
The crossproduct matrix, this can be the output of imaging.cp |
n |
The number of observations in the original matrix. This can be the output for imaging.suff.stat |
Value
List of 2 elements: var: variance of each
component, cum_pct: cumulative percent variance explained
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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