kim (version 0.6.1)

simple_effects_analysis: 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
)

Value

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

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.

Examples

# \donttest{
factorial_anova_2_way(
  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")
# }