MV.deletionCases {RoughSets}

Missing value completion by deleting instances

Description

It is used for handling missing values by deleting instances. It should be noted that the output of the function is val.NA which contains indices of missing values and their values (i.e., NA). Therefore, in order to generate a new decision table (dataset) the user need to execute SF.applyDecTable.

Usage

MV.deletionCases(decision.table)

Arguments

decision.table

a "DecisionTable" class representing a decision table. See SF.asDecisionTable. Note: missing values are recognized as NA.

Value

A class "MissingValue". See MV.missingValueCompletion.

Author(s)

Lala Septem Riza

References

J. Grzymala-Busse and W. Grzymala-Busse, "Handling Missing Attribute Values," in Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach, Eds. New York : Springer, 2010, pp. 33-51

See Also

MV.missingValueCompletion

Examples

#############################################
## Example : Deletion Cases
#############################################
dt.ex1 <- data.frame(
     c("high", "very_high", NA, "high", "high", "normal", "normal", NA), 
     c(NA, "yes", "no", "yes", NA, "yes", "no", "yes"), 
     c("no", "yes", "no", "yes", "yes", "no", "yes", NA),
     c("yes", "yes", "no", "yes", "no", "no", "no", "yes"))
colnames(dt.ex1) <- c("Temp", "Headache", "Nausea", "Flu")
decision.table <- SF.asDecisionTable(dataset = dt.ex1, decision.attr = 4, 
                                    indx.nominal = c(1:4))
indx = MV.deletionCases(decision.table)