anocvaStats: Calculates ANOVA statistics for original data and bootstrap...
In anocva: A Non-Parametric Statistical Test to Compare Clustering Structures
Description
Usage
Arguments
Value
References
Description
Calculates ANOVA statistics for original data and bootstrap replicates.
Usage
1
anocvaStats(idx, dataDist, id, k, N, r, clusteringFunction)
Arguments
idx
Identifies the bootstrap replicate. 1 means that original data should be used. 2 or more leads to resampling.
dataDist
A matrix with n subjects. Each subject has the size of NxN and represents the distances between the elements of the sample.
id
A list in range 1,2,...,n, where id[i] identifies the population id for i-th subject.
k
The number of populations.
N
Subjects size.
r
Optimal number of clusters.
clusteringFunction
determines the clustering function that you want to use. The default function is spectralClustering.
Value
ANOCVA deltaS and deltaSq statistics
References
Fujita A, Takahashi DY, Patriota AG, Sato JR (2014a) A non-parametric statistical test to
compare clusters with applications in functional magnetic resonance imaging data. Statistics
in Medicine 33: 4949–4962
Caetano de Jesus DA. (2017) Evaluation of ANOCVA test for cluster comparison through simulations.
Master Dissertation. Institute of Mathematics and Statistics, University of São Paulo.
anocva documentation built on May 2, 2019, 1:44 p.m.
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Description Usage Arguments Value References
Description
Calculates ANOVA statistics for original data and bootstrap replicates.
Usage
1 | anocvaStats(idx, dataDist, id, k, N, r, clusteringFunction)
|
Arguments
idx |
Identifies the bootstrap replicate. 1 means that original data should be used. 2 or more leads to resampling. |
dataDist |
A matrix with n subjects. Each subject has the size of NxN and represents the distances between the elements of the sample. |
id |
A list in range 1,2,...,n, where id[i] identifies the population id for i-th subject. |
k |
The number of populations. |
N |
Subjects size. |
r |
Optimal number of clusters. |
clusteringFunction |
determines the clustering function that you want to use. The default function is spectralClustering. |
Value
ANOCVA deltaS and deltaSq statistics
References
Fujita A, Takahashi DY, Patriota AG, Sato JR (2014a) A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine 33: 4949–4962
Caetano de Jesus DA. (2017) Evaluation of ANOCVA test for cluster comparison through simulations. Master Dissertation. Institute of Mathematics and Statistics, University of São Paulo.
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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