two_way_interaction_plot: Create a two-way interaction plot

In jasonmoy28/HLM_Model_R_Package: HLM.Model

Description

This will create a three-way interaction plot. It uses the predict function on the lme object to get the values of the independent variable using the values of the independent variable that is 1 standard deviation above and below the mean.

Usage

two_way_interaction_plot(
  data,
  nlme_object,
  predict_var_name,
  graph_label_name = NULL,
  cateogrical_var = NULL,
  y_lim = NULL,
  plot_color = F,
  debug = F
)

Arguments

data	dataframe.
nlme_object	lme object from 'nlme::lme'
predict_var_name	vector of length 2. predictive variable names
graph_label_name	vector of length 3 or function. Vector should be passed in the form of c(response_var, predict_var1, predict_var2). Function should be passed as a switch function that return the label based on the name passed (e.g., a switch function)
cateogrical_var	list. use the form list(var_name1 = c(upper_bound1, lower_bound1), [var_name2 = c(upper_bound2, lower_bound2])
y_lim	vector of length 2. c(lower_limit, upper_limit)
plot_color	logical. default as F. Set to T if you want to plot in color
debug	ingore this parameter

Value

ggplot object. two-way interaction plot

jasonmoy28/HLM_Model_R_Package documentation built on March 9, 2021, 3:05 p.m.