loglinear_analysis {kim}

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")