BSANet: Example dataset for relational measures.

Description Usage Format Details Source Examples

Description

The dataset is a practice dataset created to illustrate the dyadic blau status functions of Blaunet.

Usage

1

Format

The format is:
List of 3
$ square.data:'data.frame': 10 obs. of 7 variables:
..$ person : Factor w/ 10 levels "Amir","Aude",..: 6 5 8 1 7 4 10 2 9 3
..$ city : Factor w/ 2 levels "New York","San Francisco": 1 1 1 1 1 2 2 2 2 2
..$ age : int [1:10] 24 38 58 47 33 23 28 22 29 41
..$ income : int [1:10] 5 1 2 4 4 0 6 1 7 5
..$ educ : int [1:10] 7 3 7 2 4 7 0 4 5 7
..$ grp_conservative: int [1:10] 1 0 1 0 0 1 1 1 1 1
..$ grp_liberal : int [1:10] 1 1 0 0 0 0 1 1 1 1
$ el :'data.frame': 8 obs. of 2 variables:
..$ V1: Factor w/ 6 levels "Amir","Aude",..: 4 4 5 1 3 3 2 6
..$ V2: Factor w/ 6 levels "Aude","Bruce",..: 3 5 3 4 6 1 6 2
$ adj :'data.frame': 10 obs. of 10 variables:
..$ John : int [1:10] 0 1 1 0 0 0 0 0 0 0
..$ Emma: int [1:10] 1 0 1 0 0 0 0 0 0 0
..$ Mary : int [1:10] 1 1 0 0 0 0 0 0 0 0
..$ Amir : int [1:10] 0 0 0 0 1 0 0 0 0 0
..$ Mark : int [1:10] 0 0 0 1 0 0 0 0 0 0
..$ Bryan: int [1:10] 0 0 0 0 0 0 1 1 0 0
..$ Wendy: int [1:10] 0 0 0 0 0 1 0 1 0 0
..$ Aude : int [1:10] 0 0 0 0 0 1 1 0 0 0
..$ Mona : int [1:10] 0 0 0 0 0 0 0 0 0 1
..$ Bruce: int [1:10] 0 0 0 0 0 0 0 0 1 0

Details

This dataset is a small dataset containing 10 individuals in two non-overlapping locations (as cities), created solely to illustrate the functions of the Blaunet package. Affiliation variables contains membership in a liberal or conservative organization (or both). Demographic data contains variables of age, education, and income. Individual-level network data is also available in both adjacency matrix and edge list formats.

Source

Data was created by the Blaunet team. All data is fictional and was created with a random number generator.

Examples

1

Blaunet documentation built on July 1, 2020, 5:22 p.m.