main_effect {cacc}R Documentation

Main effect

Description

Computes the main effect that a specific value of a variable produces on the outcome probability in a cacc_matrix.

Usage

main_effect(cacc_matrix, iv, value, summary = TRUE)

Arguments

cacc_matrix

A tibble. The output of the cacc function.

iv

A single variable name contained in a cacc_matrix.

value

A single numeric or character value the iv specified can take.

summary

Logical. Defaults to TRUE. Whether or not to return the summary statistics for the main effect.

Value

When summary = TRUE, returns a tibble with summary stats for the main effect. If summary = FALSE, returns a tibble containing a single numeric variable, ranging from 0 to 1, containing the main effects of the value of the selected iv on the probability of outcome.

References

Hart, T. C., Rennison, C. M., & Miethe, T. D. (2017). Identifying Patterns of Situational Clustering and Contextual Variability in Criminological Data: An Overview of Conjunctive Analysis of Case Configurations. Journal of Contemporary Criminal Justice, 33(2), 112–120. https://doi.org/10.1177/1043986216689746

Examples

main_effect(
  cacc_matrix = cacc(onharassment, ivs = sex:privacy, dv = rep_victim),
  iv = age,
  value = "15-17"
)
main_effect(
  cacc_matrix = cacc(onharassment, ivs = sex:privacy, dv = rep_victim),
  iv = age,
  value = "15-17",
  summary = FALSE
)

[Package cacc version 0.1.0 Index]