ggalt/README.md

ggalt : Alternate/Extra 'Geoms', 'Stats' and 'Coords' for 'ggplot2'

A package containing additional/alternate 'geoms', 'coords' and 'stats' for use with 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 and an initial port of the (still needing work) coord_proj.

NOTE

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

The following functions are implemented:

• coord_proj : Like coord_map only better :-)
• 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 0.0.3.9000 released - coord_proj! (requires my github copy of ggplot2 for now)
• Version 0.0.2.9005 released - cleanup before blog post
• 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] '0.0.3.9000'

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(alpha=1/2)
#> Bandwidth not specified. Using '0.14', via KernSmooth::dpik.

ggplot(geyser, aes(x=duration)) +
  geom_bkde(alpha=1/2)
#> Bandwidth not specified. Using '0.14', via KernSmooth::dpik.

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

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

set.seed(1492)
dat <- data.frame(cond = factor(rep(c("A","B"), each=200)), 
                   rating = c(rnorm(200),rnorm(200, mean=.8)))

ggplot(dat, aes(x=rating, color=cond)) + geom_bkde(alpha=0)
#> Bandwidth not specified. Using '0.36', via KernSmooth::dpik.
#> Bandwidth not specified. Using '0.31', via KernSmooth::dpik.

ggplot(dat, aes(x=rating, fill=cond)) + geom_bkde(alpha=0.3)
#> Bandwidth not specified. Using '0.36', via KernSmooth::dpik.
#> Bandwidth not specified. Using '0.31', via KernSmooth::dpik.

# 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))

### coord_proj LIVES! (still needs work)

world <- map_data("world")
world <- world[world$region != "Antarctica",]

gg <- ggplot()
gg <- gg + geom_map(data=world, map=world,
                    aes(x=long, y=lat, map_id=region))
gg <- gg + coord_proj("+proj=wintri")
gg

Test Results

library(ggalt)
library(testthat)

date()
#> [1] "Fri Sep 11 18:14:16 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.