CorAnalysisCluster: CorAnalysisCluster
In nathansam/CircadianTools: Collection of Tools for Detecting Rhythmic Genes
Description
Usage
Arguments
Examples
View source: R/correlation_functions.R
Description
Correlates the average activity of a cluster with the average
activity of every other cluster.
Usage
1
CorAnalysisCluster(cluster.no, cluster.dataset, lag = 0, nthreads = NULL)
Arguments
cluster.no
The ID for the cluster which will be compared with all
other clusters in the dataset
cluster.dataset
A transcriptomics dataset where the final column
details the cluster the gene belongs to. First column should be gene names.
All remaining columns should be expression levels.
lag
Setting any value other than 0 allows a cluster to be correlated
with lagged clusters in the dataset. The number denotes the number of
timesteps to lag by.
nthreads
The number of threads to be used for parallel computations.
Defaults to the maximum number of threads available.
Examples
1
2
pam.df <- PamClustering(Laurasmappings, k = 10, nthreads = 2)
cor.df <- CorAnalysisCluster(3, pam.df, nthreads = 2)
nathansam/CircadianTools documentation built on Dec. 26, 2019, 11:30 a.m.
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Description Usage Arguments Examples
View source: R/correlation_functions.R
Description
Correlates the average activity of a cluster with the average activity of every other cluster.
Usage
1 | CorAnalysisCluster(cluster.no, cluster.dataset, lag = 0, nthreads = NULL)
|
Arguments
cluster.no |
The ID for the cluster which will be compared with all other clusters in the dataset |
cluster.dataset |
A transcriptomics dataset where the final column details the cluster the gene belongs to. First column should be gene names. All remaining columns should be expression levels. |
lag |
Setting any value other than 0 allows a cluster to be correlated with lagged clusters in the dataset. The number denotes the number of timesteps to lag by. |
nthreads |
The number of threads to be used for parallel computations. Defaults to the maximum number of threads available. |
Examples
1 2 | pam.df <- PamClustering(Laurasmappings, k = 10, nthreads = 2)
cor.df <- CorAnalysisCluster(3, pam.df, nthreads = 2)
|
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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