IntervalMatrix: Create an 'IntervalMatrix' object

In IntervalQuestionStat: Tools to Deal with Interval-Valued Responses in Questionnaires

Create an IntervalMatrix object

Description

For convenience, IntervalMatrix objects or instances may be created with this function.

Usage

IntervalMatrix(data, type = 1)

Arguments

data

A matrix or data.frame with the interval-valued information.

type

A single numeric value specifying both the order and the characterization that is being used for storing interval-valued information on data argument. Only the following four options are allowed: 1: The inf/sup-characterization is used variable by variable (default). 2: The mid/spr-characterization is used variable by variable. 3: All the supremums follow all the infimums in the same variable order. 4: All the spreads follow all the mid-points in the same variable order.

Value

This function returns the created IntervalMatrix object.

Author(s)

José García-García [e-mail]

See Also

For other interval-valued data definition use IntervalData() and IntervalList() functions.

Examples

## The following code illustrates four different ways to define
## the same matrix of intervals through IntervalMatrix() function.
## In particular, the following 2x2 interval-valued matrix is defined:
## | [0, 2] [0, 4] | = | [1 -+ 1] [2 -+ 2] |
## | [1, 3] [3, 9] | = | [2 -+ 1] [6 -+ 3] |

## Using inf/sup characterization variable by variable
data1 <- matrix(c(0, 1, 2, 3, 0, 3, 4, 9), 2, 4)
matrix1 <- IntervalMatrix(data1); matrix1
## Using mid/spr characterization variable by variable
data2 <- matrix(c(1, 2, 1, 1, 2, 6, 2, 3), 2, 4)
matrix2 <- IntervalMatrix(data2, type = 2); matrix2
## Storing all the infimums first and then all the supremums
data3 <- matrix(c(0, 1, 0, 3, 2, 3, 4, 9), 2, 4)
matrix3 <- IntervalMatrix(data3, type = 3); matrix3
## Storing all the mid-points first and then all the spreads
data4 <- matrix(c(1, 2, 2, 6, 1, 1, 2, 3), 2, 4)
matrix4 <- IntervalMatrix(data4, type = 4); matrix4

IntervalQuestionStat documentation built on Nov. 1, 2022, 5:06 p.m.