Introduction

This document is intended to help users of the mosaic package migrate their lattice package graphics to ggformula. The mosaic package provides a simplified and systematic introduction to the core functionality related to descriptive statistics, visualization, modeling, and simulation-based inference required in first and second courses in statistics.

Originally, the mosaic package used lattice graphics but now support is also available for the improved ggformula system. Going forward, ggformula will be the preferred graphics package for Project MOSAIC.

Histograms

Histograms (ggformula)

library(mosaic)   # also loads ggformula 
gf_histogram(~ age, data = HELPrct)

Histogram options (ggformula)

gf_histogram(~ age, data = HELPrct,
             binwidth = 5) 

Histograms (lattice)

library(mosaic)     # also loads lattice
histogram(~ age, data = HELPrct)

Histogram options (lattice)

histogram(~ age, width = 5, data = HELPrct)

Density Plots

Density plots (ggformula)

gf_dens(~ age, data = HELPrct)

Overlaid density plots (ggformula)

gf_dens(~ age, data = HELPrct,
        color = ~ sex)

Density over histograms (ggformula)

We can use stacked layers to add a density curve based on a maximum likelihood fit or a kernel density estimate (see also gf_dist())

gf_dhistogram( ~ age, data = HELPrct, 
               alpha = 0.5) %>%
  gf_fitdistr(color = ~"MLE", dist = "dnorm") %>% 
  gf_dens(color = ~"KDE")   

Density plots (lattice)

densityplot(~ age, data = HELPrct)