R: The summary function of positive region based on RST and FRST

summary.PositiveRegion {RoughSets} | R Documentation

## The summary function of positive region based on RST and FRST

### Description

This function enables the output of a summary of the positive region and degree of dependency.

### Usage

    ## S3 method for class 'PositiveRegion'
    summary(object, ...)

### Arguments

`object` | a `"PositiveRegion"` object. See `BC.positive.reg.FRST` and `BC.positive.reg.RST`.
`...` | the other parameters.

### Author(s)

Lala Septem Riza

### Examples

    dt.ex1 <- data.frame(c(1,0,2,1,1,2,2,0), c(0, 1,0, 1,0,2,1,1),
                            c(2,1,0,0,2,0,1,1), c(2,1,1,2,0,1,1,0), c(0,2,1,2,1,1,2,1))
    colnames(dt.ex1) <- c("aa", "bb", "cc", "dd", "ee")
    decision.table <- SF.asDecisionTable(dataset = dt.ex1, decision.attr = 5,
                                        indx.nominal = c(1:5))

    ## in this case, we consider second and third attributes only
    P <- c(2,3)

    ####### Perform indiscernibility relation #######
    IND <- BC.IND.relation.RST(decision.table, feature.set = P)

    ####### Perform lower and upper approximations #####
    roughset <- BC.LU.approximation.RST(decision.table, IND)

    ####### Determine the positive region ######
    region <- BC.positive.reg.RST(decision.table, roughset)

    summary(region)

[Package RoughSets version 1.3-7 Index]