mfs_scatter_from_models: A Lined Scatterplot Function

In mfschmidt/mfs.r.utils: Utilities Mike Often Uses

Description

This function uses ggplot2 to create a multi-scatterplot with a line of best fit and a loess smoother overlaid, based on two existing linear models. It is often discouraged in strong terms to do this, so this library requires that the x axes in both models are identical before proceeding. With identical x axes, I don't see the problem in viewing two dependent variables together.

Usage

mfs_scatter_from_models(model1, model2, xlab = "", y1lab = "", y2lab = "",
  title = "", color_scheme_1 = "bluish", color_scheme_2 = "reddish")

Arguments

model1	A generalized linear model, returned from glm()
model2	A generalized linear model, returned from glm()
xlab	Optionally, provide a label for the x axis
y1lab	Optionally, provide a label for the first y axis
y2lab	Optionally, provide a label for the second y axis
title	Optionally, provide a title to override the default
scheme1	override the default "bluish" colors for plotting model1
scheme2	override the default "reddish" colors for plotting model2

Examples

mfs_scatter_from_models(glm(y~x,data=d), glm(z~x,data=d))
mfs_scatter_from_models(glm(y~x,data=d), glm(z~x,data=d), title="A great plot")
mfs_scatter_from_models(glm(y~x,data=d), glm(z~x,data=d), xlab="Independent variable")

mfschmidt/mfs.r.utils documentation built on May 29, 2019, 4:44 a.m.