ClassVectoringDT function

Generating a class vector to be used for the decision tree analysis.

This function generates a class vector for the input dataset so the decision tree analysis can be implemented afterwards.

ClassVectoringDT(
  object,
  Clustering = "K-means",
  K,
  First = "CL1",
  Second = "CL2",
  sigDEG,
  quiet = FALSE
)

## S4 method for signature 'DISCBIO'
ClassVectoringDT(
  object,
  Clustering = "K-means",
  K,
  First = "CL1",
  Second = "CL2",
  sigDEG,
  quiet = FALSE
)

Arguments

• object: DISCBIO class object.
• Clustering: Clustering has to be one of the following: ["K-means", "MB"]. Default is "K-means"
• K: A numeric value of the number of clusters.
• First: A string vector showing the first target cluster. Default is "CL1"
• Second: A string vector showing the second target cluster. Default is "CL2"
• sigDEG: A data frame of the differentially expressed genes (DEGs) generated by running "DEGanalysis()" or "DEGanalysisM()".
• quiet: If TRUE, suppresses intermediary output

Returns

A data frame.