clsnumcount: Calculate the number of clusters for K-means clustering
In spo111/DynaMO: DynaMO predicts spatiotemporal binding of transcription factors
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Take a matrix with rows representing signals at each motif site and columns
representing different samples.
Usage
1
Arguments
data
A matrix containing the signals at each motif site and sample.
Details
This function calculates the number of clusters for K-means clustering.
Value
An integer.
Author(s)
Zheng Kuang
Examples
1
2
3
readfile<-system.file("extdata","motif_filter_reads_cluster.txt",package="DynaMO",mustWork=TRUE)
data<-read.table(as.character(file),sep="\t",header=T)
clsnum<-clsnumcount(data[,1:4])
spo111/DynaMO documentation built on May 30, 2019, 7:59 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Take a matrix with rows representing signals at each motif site and columns representing different samples.
Usage
1 |
Arguments
data |
A matrix containing the signals at each motif site and sample. |
Details
This function calculates the number of clusters for K-means clustering.
Value
An integer.
Author(s)
Zheng Kuang
Examples
1 2 3 | readfile<-system.file("extdata","motif_filter_reads_cluster.txt",package="DynaMO",mustWork=TRUE)
data<-read.table(as.character(file),sep="\t",header=T)
clsnum<-clsnumcount(data[,1:4])
|
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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