indexMeasure: function that input a data table, returns a table that...

In lizhongliu1996/PredictMisc: package that use three methods to predict methylation regions

Description

function that input a data table, returns a table that contains mean_cross_validation with alpha-lambda value that makes the index maxium methods represents specific methods you choose

Usage

indexMeasure(data_table, methods = c("CpGs_within_cluster",
  "CpGs_most_variablity", "CpGs_most_significant"),
  index = c("Balanced.Accuracy", "Sensitivity", "Specificity", "auc",
  "F1"))

Arguments

data_table	data table that
methods	method that we care about
index	index that we want to see the performance

Examples

## Not run: 
 phenoSplit(data_table = a[[1]],
            methods = "CpGs_most_variablity",
            index = "Sensitivity")

## End(Not run)

lizhongliu1996/PredictMisc documentation built on Aug. 23, 2019, 5:55 a.m.