ggalt/README.md

ggalt : Extra Geoms, Stats and Coords for ggplot2

A package containing additional geoms, coords and stats for the revamped (late 2015) version of ggplot2.

The first three forays into this brave, new ggplot2 world are splines! and being able to use the (much better) KernSmooth::bkde and KernSmooth::bkde2D for density plots.

NOTE

Until the new ggplot2 version is on CRAN, you'll need to install it from github (see below).

The following functions are implemented:

• geom_xspline : Connect control points/observations with an X-spline
• stat_xspline : Connect control points/observations with an X-spline
• geom_bkde : Display a smooth density estimate (uses KernSmooth::bkde)
• stat_bkde : Display a smooth density estimate (uses KernSmooth::bkde)
• geom_bkde2d : Contours from a 2d density estimate. (uses KernSmooth::bkde2D)
• stat_bkde2d : Contours from a 2d density estimate. (uses KernSmooth::bkde2D)

News

• Version 0.0.2.9002 released - working 2D density plots
• Version 0.0.2.9000 released

Installation

# you'll want to see the vignettes, trust me
devtools::install_github("hadley/ggplot2", build_vignettes=TRUE)
devtools::install_github("hrbrmstr/ggalt")

Usage

library(ggalt)
#> Loading required package: ggplot2

# current verison
packageVersion("ggalt")
#> [1] '0.0.2.9003'

set.seed(1492)
dat <- data.frame(x=c(1:10, 1:10, 1:10),
                  y=c(sample(15:30, 10), 2*sample(15:30, 10), 3*sample(15:30, 10)),
                  group=factor(c(rep(1, 10), rep(2, 10), rep(3, 10)))
)

ggplot(dat, aes(x, y, group=group, color=group)) +
  geom_point() +
  geom_line()

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point() +
  geom_line() +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5)

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point(color="black") +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5) +
  geom_xspline(size=0.5)

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point(color="black") +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5) +
  geom_xspline(spline_shape=-0.4, size=0.5)

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point(color="black") +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5) +
  geom_xspline(spline_shape=0.4, size=0.5)

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point(color="black") +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5) +
  geom_xspline(spline_shape=1, size=0.5)

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point(color="black") +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5) +
  geom_xspline(spline_shape=0, size=0.5)

ggplot(dat, aes(x, y, group=group, color=factor(group))) +
  geom_point(color="black") +
  geom_smooth(se=FALSE, linetype="dashed", size=0.5) +
  geom_xspline(spline_shape=-1, size=0.5)

# Better density plots

data(geyser, package="MASS")

ggplot(geyser, aes(x=duration)) + 
  stat_bkde(bandwidth=0.25)

ggplot(geyser, aes(x=duration)) +
  geom_bkde(bandwidth=0.25)

# 2D KernSmooth::bkde2D plots are a WIP

geyser_dat <- data.frame(x=geyser$duration, y=geyser$waiting)

ggplot(geyser_dat, aes(x, y)) +
  geom_point() +
  geom_bkde2d(bandwidth=c(0.7, 7))

ggplot(geyser_dat, aes(x, y)) +
  geom_point() +
  stat_bkde2d(bandwidth=c(0.7, 7))

Test Results

library(ggalt)
library(testthat)

date()
#> [1] "Tue Sep  8 21:26:18 2015"

test_dir("tests/")
#> testthat results ========================================================================================================
#> OK: 0 SKIPPED: 0 FAILED: 0
#> 
#> DONE

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.