graph_effect: Graph a single effect, given a model.

In michaelasher/asherR: Michael Asher's R Code

Graph a single effect, given a model.

Description

This function is intended to quickly graph a single set of predictions, given a model.

Usage

graph_effect(
  model,
  x,
  fill = NULL,
  facet = NULL,
  facet2 = NULL,
  continuous_x = FALSE,
  colors = NULL
)

Arguments

x	the name of the variable that should be graphed on the x axis.
fill	the (optional) name of the variable that should be graphed as a fill.
facet	the (optional) name of the variable that should be graphed as a facet.
facet2	the (optional) name of the variable that should be graphed as a second facet.
continuous_x	If true, a line graph will be created for any continuous variables, rather than bar graphs with predicted values at +1/-1 SD.
colors	An optional vector of colors for the bars and lines of graphs.
m	A linear model. Standard OLS or logistic regression will work.

Value

A ggplot line or bar graph.

michaelasher/asherR documentation built on July 5, 2023, 8:55 p.m.