clusterCor_c: Calculates position-cluster correlations for scoring function...
In segmenTier: Similarity-Based Segmentation of Multidimensional Signals
Description
Usage
Arguments
Value
Description
Calculates Pearson's product-moment correlation coefficients
between rows in data and cluster, and is used to calculate
the position-cluster similarity matrix for the scoring function "icor".
This is implemented in Rcpp for calculation speed, using
myPearson to calculate correlations.
Usage
1
clusterCor_c(data, clusters)
Arguments
data
original data matrix
clusters
cluster centers
Value
Returns a position-cluster correlation matrix as used in
scoring function "icor".
segmenTier documentation built on May 2, 2019, 2:49 p.m.
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.
Description Usage Arguments Value
Description
Calculates Pearson's product-moment correlation coefficients
between rows in data and cluster, and is used to calculate
the position-cluster similarity matrix for the scoring function "icor".
This is implemented in Rcpp for calculation speed, using
myPearson to calculate correlations.
Usage
1 | clusterCor_c(data, clusters)
|
Arguments
data |
original data matrix |
clusters |
cluster centers |
Value
Returns a position-cluster correlation matrix as used in scoring function "icor".
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.