loglinear_analysis: Loglinear analysis

In kim: A Toolkit for Behavioral Scientists

Loglinear analysis

Description

Conduct a loglinear analysis

Usage

loglinear_analysis(
  data = NULL,
  dv_name = NULL,
  iv_1_name = NULL,
  iv_2_name = NULL,
  iv_1_values = NULL,
  iv_2_values = NULL,
  output = "all",
  round_p = 3,
  round_chi_sq = 2,
  mosaic_plot = TRUE,
  report_as_field = FALSE
)

Arguments

data	a data object (a data frame or a data.table)
dv_name	name of the dependent variable
iv_1_name	name of the first independent variable
iv_2_name	name of the second independent variable
iv_1_values	restrict all analyses to observations having these values for the first independent variable
iv_2_values	restrict all analyses to observations having these values for the second independent variable
output	type of the output. If output_type = "all", the function will return a results summary and print a mosaic plot. (default = "all")
round_p	number of decimal places to which to round p-values (default = 3)
round_chi_sq	number of decimal places to which to round chi-squared test statistics (default = 2)
mosaic_plot	If mosaic_plot = TRUE, a mosaic plot will be printed (default = TRUE)
report_as_field	If report_as_field = TRUE, reports summary will follow the format suggested by Andy Field (2012) (ISBN: 978-1-4462-0045-2, p. 851)

Examples

loglinear_analysis(data = data.frame(Titanic), "Survived", "Sex", "Age")

kim documentation built on Oct. 9, 2023, 5:08 p.m.