floodlight_multi_by_continuous: Floodlight Multicategorical by Continuous

In kim: A Toolkit for Behavioral Scientists

Floodlight Multicategorical by Continuous

Description

Conduct a floodlight analysis for a Multicategorical IV x Continuous Moderator design.

Usage

floodlight_multi_by_continuous(
  data = NULL,
  iv_name = NULL,
  dv_name = NULL,
  mod_name = NULL,
  coding = "indicator",
  baseline_category = NULL,
  covariate_name = NULL,
  interaction_p_include = TRUE,
  iv_category_order = NULL,
  heteroskedasticity_consistent_se = "HC4",
  round_r_squared = 3,
  round_f = 2,
  sigfigs = 2,
  jn_points_disregard_threshold = NULL,
  print_floodlight_plots = TRUE,
  output = "all",
  jitter_x_percent = 0,
  jitter_y_percent = 0,
  dot_alpha = 0.5,
  dot_size = 4,
  interaction_p_value_font_size = 8,
  jn_point_font_size = 8,
  jn_point_label_hjust = NULL,
  interaction_p_vjust = -3,
  plot_margin = ggplot2::unit(c(75, 7, 7, 7), "pt"),
  legend_position = "right",
  line_of_fit_types = c("solid", "dashed"),
  line_of_fit_thickness = 1.5,
  jn_line_types = c("solid", "solid"),
  jn_line_thickness = 1.5,
  colors_for_iv = c("red", "blue"),
  sig_region_color = "green",
  sig_region_alpha = 0.08,
  nonsig_region_color = "gray",
  nonsig_region_alpha = 0.08,
  x_axis_title = NULL,
  y_axis_title = NULL,
  legend_title = NULL,
  round_decimals_int_p_value = 3,
  round_jn_point_labels = 2
)

Arguments

data	a data object (a data frame or a data.table)
iv_name	name of the multicategorical independent variable; this variable must have three or more categories.
dv_name	name of the dependent variable
mod_name	name of the continuous moderator variable
coding	name of the coding scheme to use; the current version of the function allows only the "indicator" coding scheme. By default, coding = "indicator"
baseline_category	value of the independent variable that will be the reference value against which other values of the independent variable will be compared
covariate_name	name of the variables to control for
interaction_p_include	logical. Should the plot include a p-value for the interaction term?
iv_category_order	order of levels in the independent variable for legend. By default, it will be set as levels of the independent variable ordered using R's base function sort.
heteroskedasticity_consistent_se	which kind of heteroskedasticity-consistent (robust) standard errors should be calculated? (default = "HC4")
round_r_squared	number of decimal places to which to round r-squared values (default = 3)
round_f	number of decimal places to which to round the f statistic for model comparison (default = 2)
sigfigs	number of significant digits to round to (for values in the regression tables, except for p values). By default sigfigs = 2
jn_points_disregard_threshold	the Minimum Distance in the unit of the moderator variable that will be used for various purposes, such as (1) to disregard the second Johnson-Neyman point that is different from the first Johnson-Neyman (JN) point by less than the Minimum Distance; (2) to determine regions of significance, which will calculate the p-value of the IV's effect (the focal dummy variable's effect) on DV at a candidate JN point + / - the Minimum Distance. This input is hard to explain, but a user can enter a really low value for this argument (e.g., jn_points_disregard_threshold = 0.1 for a moderator measured on a 100-point scale) or use the default. By default, jn_points_disregard_threshold = range of the moderator / 10000 For example, if the observed moderator values range from 1 to 7 (because it is a 7-point scale), then jn_points_disregard_threshold = (7 - 1) / 10000 = 0.0006
print_floodlight_plots	If print_floodlight_plots = TRUE, a floodlight plot for each dummy variable will be printed. By default, print_floodlight_plots = TRUE
output	output of the function (default = "all"). Possible inputs: "reg_models", "reg_tables", "reg_tables_rounded", "all"
jitter_x_percent	horizontally jitter dots by a percentage of the range of x values
jitter_y_percent	vertically jitter dots by a percentage of the range of y values
dot_alpha	opacity of the dots (0 = completely transparent, 1 = completely opaque). By default, dot_alpha = 0.5
dot_size	size of the dots (default = 4)
interaction_p_value_font_size	font size for the interaction p value (default = 8)
jn_point_font_size	font size for Johnson-Neyman point labels (default = 8)
jn_point_label_hjust	a vector of hjust values for Johnson-Neyman point labels. By default, the hjust value will be 0.5 for all the points.
interaction_p_vjust	By how much should the label for the interaction p-value be adjusted vertically? By default, interaction_p_vjust = -3)
plot_margin	margin for the plot By default plot_margin = ggplot2::unit(c(75, 7, 7, 7), "pt")
legend_position	position of the legend (default = "right"). If legend_position = "none", the legend will be removed.
line_of_fit_types	types of the lines of fit for the two levels of the independent variable. By default, line_of_fit_types = c("solid", "dashed")
line_of_fit_thickness	thickness of the lines of fit (default = 1.5)
jn_line_types	types of the lines for Johnson-Neyman points. By default, jn_line_types = c("solid", "solid")
jn_line_thickness	thickness of the lines at Johnson-Neyman points (default = 1.5)
colors_for_iv	colors for the two values of the independent variable (default = c("red", "blue"))
sig_region_color	color of the significant region, i.e., range(s) of the moderator variable for which simple effect of the independent variable on the dependent variable is statistically significant.
sig_region_alpha	opacity for sig_region_color. (0 = completely transparent, 1 = completely opaque). By default, sig_region_alpha = 0.08
nonsig_region_color	color of the non-significant region, i.e., range(s) of the moderator variable for which simple effect of the independent variable on the dependent variable is not statistically significant.
nonsig_region_alpha	opacity for nonsig_region_color. (0 = completely transparent, 1 = completely opaque). By default, nonsig_region_alpha = 0.08
x_axis_title	title of the x axis. By default, it will be set as input for mod_name. If x_axis_title = FALSE, it will be removed.
y_axis_title	title of the y axis. By default, it will be set as input for dv_name. If y_axis_title = FALSE, it will be removed.
legend_title	title of the legend. By default, it will be set as input for iv_name. If legend_title = FALSE, it will be removed.
round_decimals_int_p_value	To how many digits after the decimal point should the p value for the interaction term be rounded? (default = 3)
round_jn_point_labels	To how many digits after the decimal point should the jn point labels be rounded? (default = 2)

Details

See the following reference: Hayes & Montoya (2017) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/19312458.2016.1271116")} Williams (2004) on r-squared values when calculating robust standard errors https://web.archive.org/web/20230627025457/https://www.stata.com/statalist/archive/2004-05/msg00107.html

Examples

## Not run: 
# typical example
floodlight_multi_by_continuous(
data = mtcars,
iv_name = "cyl",
dv_name = "mpg",
mod_name = "qsec")

## End(Not run)

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