simple_effects_analysis: Simple Effects Analysis

In kim: A Toolkit for Behavioral Scientists

Simple Effects Analysis

Description

Conduct a simple effects analysis to probe a two-way interaction effect. See Field et al. (2012, ISBN: 978-1-4462-0045-2).

Usage

simple_effects_analysis(
  data = NULL,
  dv_name = NULL,
  iv_1_name = NULL,
  iv_2_name = NULL,
  iv_1_levels = NULL,
  iv_2_levels = NULL,
  print_contrast_table = "weights_sums_and_products",
  output = NULL
)

Arguments

data	a data object (a data frame or a data.table)
dv_name	name of the dependent variable (DV)
iv_1_name	name of the first independent variable (IV1), whose main effects will be examined in the first set of contrasts
iv_2_name	name of the second independent variable (IV2), whose simple effects at each level of IV1 will be examined in the second set of contrasts
iv_1_levels	ordered levels of IV1
iv_2_levels	ordered levels of IV2
print_contrast_table	If print_contrast_table = "weights_sums_and_products", contrasts' weights, sums of the weights and products will be printed. If print_contrast_table = "weights_only", only the contrasts will be printed.
output	output can be one of the following: "lm_object", "table", "weights_only", "weights_sums_and_products", "all" By default, output = NULL, and there will be no output from the function other than the tables of simple effects and constrasts which will be printed on the console by default.

Value

By default, the function will print a table of contrasts and a table of simple effects.

Examples

two_way_anova(
  data = mtcars, dv_name = "mpg", iv_1_name = "vs",
  iv_2_name = "am", iterations = 100, plot = TRUE)
simple_effects_analysis(
  data = mtcars, dv_name = "mpg", iv_1_name = "vs",
  iv_2_name = "am")

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