Extra Coordinate Systems, 'Geoms', Statistical Transformations, Scales and Fonts for 'ggplot2'
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<!-- README.md is generated from README.Rmd. Please edit that file -->
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`ggalt` : Alternate/Extra 'Geoms', 'Stats' and 'Coords' for 'ggplot2'
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A package containing additional/alternate 'geoms', 'coords' and 'stats' for use with the revamped (late 2015) version of ggplot2.
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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`.
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**NOTE**
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Until the new `ggplot2` version is on CRAN, you'll need to install it from github via `devtools::install_github("hrbrmstr/ggplot2")`. Locally, I have goth `ggalt` and my `ggplot2` in a "develment mode" install via `devtools::dev_mode()`. Since the new `ggplot2` breaks *many* other packages (like `plotly`, CRAN `ggthemes`, `ggmap` and more), keeping it squirreled away in it's own area is a good idea until everyone catches up.
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The following functions are implemented:
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- `coord_proj` : Like `coord_map` only better `:-)`
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- `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`)
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- `geom_bkde2d` : Contours from a 2d density estimate. (uses `KernSmooth::bkde2D`)
- `stat_bkde2d` : Contours from a 2d density estimate. (uses `KernSmooth::bkde2D`)
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- `stat_ash` : Compute and display a univariate averaged shifted histogram (polynomial kernel) (uses `ash::ash1`/`ash::bin1`)
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### News
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- Version 0.0.4.9000 released - `stat_ash`
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- 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
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- Version 0.0.2.9002 released - working 2D density plots
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- Version 0.0.2.9000 released
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### Installation
``` r
# you'll want to see the vignettes, trust me
devtools::install_github("hadley/ggplot2", build_vignettes=TRUE)
devtools::install_github("hrbrmstr/ggalt")
```
### Usage
``` r
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library(ggplot2)
library(gridExtra)
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library(ggalt)
# current verison
packageVersion("ggalt")
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#> [1] '0.0.3.9000'
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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)))
)
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```
### Splines!
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``` r
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ggplot(dat, aes(x, y, group=group, color=group)) +
geom_point() +
geom_line()
```
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<img src="README_figs/README-splines-1.png" title="" alt="" width="672" />
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``` r
ggplot(dat, aes(x, y, group=group, color=factor(group))) +
geom_point() +
geom_line() +
geom_smooth(se=FALSE, linetype="dashed", size=0.5)
```
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<img src="README_figs/README-splines-2.png" title="" alt="" width="672" />
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``` r
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)
```
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<img src="README_figs/README-splines-3.png" title="" alt="" width="672" />
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``` r
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)
```
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<img src="README_figs/README-splines-4.png" title="" alt="" width="672" />
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``` r
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)
```
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<img src="README_figs/README-splines-5.png" title="" alt="" width="672" />
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``` r
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)
```
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<img src="README_figs/README-splines-6.png" title="" alt="" width="672" />
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``` r
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)
```
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<img src="README_figs/README-splines-7.png" title="" alt="" width="672" />
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``` r
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)
```
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<img src="README_figs/README-splines-8.png" title="" alt="" width="672" />
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#### Alternate (better) density plots
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``` r
# bkde
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data(geyser, package="MASS")
ggplot(geyser, aes(x=duration)) +
stat_bkde(alpha=1/2)
#> Bandwidth not specified. Using '0.14', via KernSmooth::dpik.
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```
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<img src="README_figs/README-bkde_ash-1.png" title="" alt="" width="672" />
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``` r
ggplot(geyser, aes(x=duration)) +
geom_bkde(alpha=1/2)
#> Bandwidth not specified. Using '0.14', via KernSmooth::dpik.
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```
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<img src="README_figs/README-bkde_ash-2.png" title="" alt="" width="672" />
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``` r
ggplot(geyser, aes(x=duration)) +
stat_bkde(bandwidth=0.25)
```
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<img src="README_figs/README-bkde_ash-3.png" title="" alt="" width="672" />
``` r
ggplot(geyser, aes(x=duration)) +
geom_bkde(bandwidth=0.25)
```
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<img src="README_figs/README-bkde_ash-4.png" title="" alt="" width="672" />
``` r
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.
```
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<img src="README_figs/README-bkde_ash-5.png" title="" alt="" width="672" />
``` r
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.
```
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<img src="README_figs/README-bkde_ash-6.png" title="" alt="" width="672" />
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``` r
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# ash
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set.seed(1492)
dat <- data.frame(x=rnorm(100))
grid.arrange(ggplot(dat, aes(x)) + stat_ash(),
ggplot(dat, aes(x)) + stat_bkde(),
ggplot(dat, aes(x)) + stat_density(),
nrow=3)
#> Estimate nonzero outside interval ab.
#> Bandwidth not specified. Using '0.43', via KernSmooth::dpik.
```
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<img src="README_figs/README-bkde_ash-7.png" title="" alt="" width="672" />
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``` r
cols <- RColorBrewer::brewer.pal(3, "Dark2")
ggplot(dat, aes(x)) +
stat_ash(alpha=1/2, fill=cols[3]) +
stat_bkde(alpha=1/2, fill=cols[2]) +
stat_density(alpha=1/2, fill=cols[1]) +
geom_rug() +
labs(x=NULL, y="density/estimate") +
scale_x_continuous(expand=c(0,0)) +
theme_bw() +
theme(panel.grid=element_blank()) +
theme(panel.border=element_blank())
#> Estimate nonzero outside interval ab.
#> Bandwidth not specified. Using '0.43', via KernSmooth::dpik.
```
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<img src="README_figs/README-bkde_ash-8.png" title="" alt="" width="672" />
### Alternate 2D density plots
``` r
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))
```
<img src="README_figs/README-bkde2d-1.png" title="" alt="" width="672" />
``` r
ggplot(geyser_dat, aes(x, y)) +
geom_point() +
stat_bkde2d(bandwidth=c(0.7, 7))
```
<img src="README_figs/README-bkde2d-2.png" title="" alt="" width="672" />
### `coord_proj` LIVES! (still needs work)
``` r
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
```
<img src="README_figs/README-coord_proj-1.png" title="" alt="" width="672" />
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### Test Results
``` r
library(ggalt)
library(testthat)
date()
#> [1] "Sun Sep 13 07:32:09 2015"
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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](CONDUCT.md). By participating in this project you agree to abide by its terms.