simple_effects_analysis {kim} | R Documentation |
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
|
output |
output can be one of the following: |
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")