discreteClasses: From continous to discrete classes.
In cavei/MOSClip: Multi Omics Survival Clip

Description Usage Arguments Value Examples

From a continous version of covariates (columns) to 2 discrete classes.

From a discrete version of covariates (columns), following markAs1 the function creates the binary version.

From a matrix or data frame keeps onòy the first occurrence according to a column.

createBiClasses(coxObj, covs, doChecks = TRUE, labels = c("low",
  "high"), minprop = 0.1)

createBinaryMatrix(discrete, markAs1 = c("high", "TRUE"))

keepFirstOccurrence(m, whichCol)

`coxObj`	cox like object with days and status plus covariates
`covs`	the covariates to use
`doChecks`	if TRUE perform checks on min proportion
`labels`	the labels of the two classes
`minprop`	minimal proportion
`discrete`	discrete version of the covariates (columns)
`markAs1`	the discrete values associated to 1
`m`	a matrix
`whichCol`	the column to select the first occurrence

discrete version of the selected 'covs'.

binary matrix

matrix without duplicates.

  dummy <- matrix(c("high","high","low","TRUE","low","low","high","FALSE"), nrow=4)
  createBinaryMatrix(dummy)
  dummy <- matrix(c("a","b","a","c",1,2,3,4), nrow=4)
  colnames(dummy) <- c("gene", "value")
  keepFirstOccurrence(dummy,1)
  keepFirstOccurrence(dummy,"gene")