R: Set Type

set.type {lpSolveAPI} | R Documentation

## Set Type

### Description

Set the type of a decision variable in an lpSolve linear program model object.

### Usage

    set.type(lprec, columns, type = c("integer", "binary", "real"))

### Arguments

`lprec` | an lpSolve linear program model object.
`columns` | a numeric vector of unique values from the set `{1, ..., n}` (where `n` is the number of decision variables in `lprec`) specifying which variables are to have their type set.
`type` | either `"integer"`, `"binary"` or `"real"`. The decision variables in `columns` will have their type set to this value.

### Details

A binary decision variable is simply an integer decision with an upper bound of one and a lower bound of zero. When `type = "binary"` the type of the decision variable will be set to `"integer"` and the bounds will be set to zero and one respectively.

### Value

a `NULL` value is invisibly returned.

### Author(s)

Kjell Konis kjell.konis@me.com

### References

http://lpsolve.sourceforge.net/5.5/index.htm

### See Also

`set.type`

### Examples

    lps.model <- make.lp(0, 3)
    xt <- c(6,2,4)
    add.constraint(lps.model, xt, "<=", 150)
    xt <- c(1,1,6)
    add.constraint(lps.model, xt, ">=", 0)
    set.type(lps.model, 2, "binary")
    xt <- c(4,5,4)
    add.constraint(lps.model, xt, "=", 40)
    set.type(lps.model, 3, "integer")
    set.objfn(lps.model, c(-3,-4,-3))

    get.type(lps.model)

[Package lpSolveAPI version 5.5.2.0-17 Index]