sim_data

Small, artificially created dataset in a cross-sectional format. 
Provides information on 1000 individuals to illustrate the use of the package.

datasets

The Inductive Subgroup Comparison Approach ('ISCA') offers a way to compare groups that are internally differentiated and heterogeneous. It starts by identifying the social structure of a reference group against which a minority or another group is to be compared, yielding empirical subgroups to which minority members are then matched based on how similar they are. The modelling of specific outcomes then occurs within specific subgroups in which majority and minority members are matched. 'ISCA' is characterized by its data-driven, probabilistic, and iterative approach and combines fuzzy clustering, Monte Carlo simulation, and regression analysis. ISCA_random_assignments() assigns subjects probabilistically to subgroups. ISCA_clustertable() provides summary statistics of each cluster across iterations. ISCA_modeling() provides Ordinary Least Squares regression results for each cluster across iterations. For further details please see Drouhot (2021) <doi:10.1086/712804>.

Lucas Drouhot

ISCA

Compare Heterogeneous Social Groups

Marion Späth

sim_data function

A data frame with 1,000 rows and 7 columns:<dl>
 <dt>female</dt>
<dd>Dichotomous variable (0/1) indicating a person's sex</dd> <dt>age</dt>
<dd>value indicating a person's age, range 18-80</dd> <dt>education</dt>
<dd>value indicating a person's level of education, range 1-9</dd> <dt>income</dt>
<dd>value indicating a person's income</dd> <dt>religiosity</dt>
<dd>value indicating a person's level of religiosity, range 1-10</dd> <dt>discrimination</dt>
<dd>value indicating a person's level of experience discrimination, range 0-8</dd> <dt>native</dt>
<dd>Dichotomous variable (0/1) indicating whether a person is a native (1) or an immigrant (0)</dd>
</dl>

Format

Cross-sectional, artificial data on 1000 individuals — sim_data

A data frame with 1,000 rows and 7 columns:<dl>
 <dt>female</dt>
<dd>Dichotomous variable (0/1) indicating a person's sex</dd>

 <dt>age</dt>
<dd>value indicating a person's age, range 18-80</dd>

 <dt>education</dt>
<dd>value indicating a person's level of education, range 1-9</dd>

 <dt>income</dt>
<dd>value indicating a person's income</dd>

 <dt>religiosity</dt>
<dd>value indicating a person's level of religiosity, range 1-10</dd>

 <dt>discrimination</dt>
<dd>value indicating a person's level of experience discrimination, range 0-8</dd>

 <dt>native</dt>
<dd>Dichotomous variable (0/1) indicating whether a person is a native (1) or an immigrant (0)</dd>


</dl>

sim_data: Cross-sectional, artificial data on 1000 individuals

Description

Usage

Arguments

Format

References

Examples