plot_stats: Plot statistics of combinatorial analysis
In functClust: Functional Clustering of Redundant Components of a System
Description
Usage
Arguments
Details
Value
Description
Take a matrix of statistical results
and plot Coefficient of Determination (R2),
Efficiency (E)
proportion of missing values,
and AIc and AICc,
versus the number of clusters of components.
Usage
1
plot_stats(mStats, main = "")
Arguments
mStats
a matrix
that contains all statistics for combinatorial analysis.
The matrix is generated by the function compute_fit_stats.
main
a string. The string is used as graph title.
Details
The colnames of matrix are:
"missing", "R2cal", "R2prd", "pcal",
"pprd", "AIC", "AICc".
Value
Nothing. It is a procedure.
functClust documentation built on Dec. 2, 2020, 5:06 p.m.
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Description Usage Arguments Details Value
Description
Take a matrix of statistical results
and plot Coefficient of Determination (R2),
Efficiency (E)
proportion of missing values,
and AIc and AICc,
versus the number of clusters of components.
Usage
1 | plot_stats(mStats, main = "")
|
Arguments
mStats |
a matrix
that contains all statistics for combinatorial analysis.
The matrix is generated by the function |
main |
a string. The string is used as graph title. |
Details
The colnames of matrix are:
"missing", "R2cal", "R2prd", "pcal",
"pprd", "AIC", "AICc".
Value
Nothing. It is a procedure.
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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