predicted.line: Create and plot a fitted line for a generalized linear model

In dustinfife/fifer: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis

Description

Create and plot a fitted line for a generalized linear model

Usage

predicted.line(
  model,
  outcome,
  IV,
  covs = NA,
  data,
  cov.func = c("mean", "median", "min", "max"),
  length = 100,
  add = F,
  ret.pred = F,
  ...
)

Arguments

model	A model (e.g., lmer model, or any type of model that supports the "predict" command)
outcome	A string that names the outcome variable
IV	A string that names the predictor variable
data	The original dataset used to fit the model
length	The number of predicted points used for plotting the line. Defaults to 100.
ret.pred	Should the fits be returned as a matrix?
...	Other arguments passed to plot, lines, or predict
covariates	A function used on all the covariates. Can be mean, median, min, or max
Add.	Should the fitted line be added to an existing plot?

Author(s)

Dustin Fife

Examples

## do this later

dustinfife/fifer documentation built on Oct. 31, 2020, 3:36 p.m.