In dustinfife/flexplot: Graphically Based Data Analysis Using 'flexplot'

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  out.width = "100%"
)
options(tibble.print_min = 5, tibble.print_max = 5)

flexplot

Overview

flexplot is a set of tools designed to pair with statistical modeling and simplify the process of visualizing data analysis. Some of the primary functions include:

• flexplot() flexible and intelligent multivariate graphics
• added.plot() added variable plots
• visualize() shows a visual representation of a fitted object
• compare.fits() visually compares the fit of two different models
• estimates() reports of effect sizes for statistical models
• model.comparison() statistically compares the fits of two different models

A more complete manual for flexplot can be found at the Psych Arxiv

Installation of flexplot

# install.packages("devtools")
# install the stable version
devtools::install_github("dustinfife/flexplot")
# install the development version
devtools::install_github("dustinfife/flexplot", ref="development")

Usage

library(flexplot)
data(relationship_satisfaction)

### multivariate relationship
flexplot(satisfaction~communication + separated | gender + interests, data=relationship_satisfaction)

### show a straight line, remove standard errors, and specify 3 bins
flexplot(satisfaction~communication + separated | gender + interests, data=relationship_satisfaction, method="lm", se=F, bins=3)

### show a ghost line to simplify comparisons
flexplot(satisfaction~communication + separated | gender + interests, data=relationship_satisfaction, method="lm", se=F, bins=3, ghost.line="black")

### categorical variable
flexplot(satisfaction~gender, data=relationship_satisfaction, spread="quartiles", jitter=c(.1, 0))

### histogram/barchart
flexplot(satisfaction~1, data=relationship_satisfaction)
flexplot(gender~1, data=relationship_satisfaction)

### added variable plot
added.plot(satisfaction~communication + separated | gender + interests, data=relationship_satisfaction, method="quadratic", se=F)

### modeling + graphics
full.mod = lm(satisfaction~communication * separated , data=relationship_satisfaction)
reduced.mod = lm(satisfaction~communication + separated , data=relationship_satisfaction)
visualize(full.mod)
estimates(full.mod)
compare.fits(satisfaction~communication|separated, data=relationship_satisfaction, full.mod, reduced.mod)
model.comparison(full.mod, reduced.mod)

Getting help

If something breaks, please post a minimal reproducible example on github. For questions and other discussion, contact me on twitter or by email.

dustinfife/flexplot documentation built on Sept. 23, 2024, 9:01 p.m.