### Installation (Development Version)

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Install the development version of ggbeeswarm from GitHub.

```r
devtools::install_github("eclarke/ggbeeswarm")
```

--------------------------------

### Installation

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Install the ggbeeswarm package from CRAN.

```r
install.packages('ggbeeswarm')
```

--------------------------------

### geom_beeswarm Example

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_beeswarm on the iris dataset.

```r
ggplot(iris, aes(Species, Sepal.Length)) + geom_beeswarm() + ggtitle("Beeswarm")
```

--------------------------------

### Standard License Notice

Source: https://github.com/eclarke/ggbeeswarm/blob/main/LICENSE.md

This is the standard notice to attach to the start of each source file to state the exclusion of warranty and provide copyright information.

```text
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year>  <name of author>

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.
```

--------------------------------

### Categorical x-axis

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of using geom_beeswarm with a categorical x-axis.

```r
ggplot(mpg,aes(class, hwy)) + geom_beeswarm(size=1.1)
```

--------------------------------

### Terminal Interaction Notice

Source: https://github.com/eclarke/ggbeeswarm/blob/main/LICENSE.md

This is a short notice to display when a program starts in interactive mode, informing users about its licensing and warranty.

```text
<program>  Copyright (C) <year>  <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type 'show c' for details.
```

--------------------------------

### Different point distribution priority: Density

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'density' point distribution priority in geom_beeswarm.

```r
ggplot(dat,aes(x,y)) + geom_beeswarm(cex=2,priority='density') + ggtitle('Density') + scale_x_continuous(expand=expansion(add=c(0.5,.5)))
```

--------------------------------

### Corral runaway points: gutter

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'gutter' corral method for geom_beeswarm.

```r
p + geom_beeswarm(cex = 2.5, corral = "gutter", corral.width = 0.9) + ggtitle('corral = "gutter"')
```

--------------------------------

### Different point distribution priority: Random

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'random' point distribution priority in geom_beeswarm.

```r
ggplot(dat,aes(x,y)) + geom_beeswarm(cex=2,priority='random') + ggtitle('Random') + scale_x_continuous(expand=expansion(add=c(0.5,.5)))
```

--------------------------------

### Corral runaway points: none

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'none' corral method for geom_beeswarm.

```r
set.seed(1995)
df2 <- data.frame(
  y = rnorm(1000),
  id = sample(c("G1", "G2", "G3"), size = 1000, replace = TRUE)
)
p <- ggplot(df2, aes(x = id, y = y, colour = id))

# use corral.width to control corral width
p + geom_beeswarm(cex = 2.5, corral = "none", corral.width = 0.9) + ggtitle('corral = "none" (default)')
```

--------------------------------

### Different point distribution priority: Default (ascending)

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of default (ascending) point distribution priority in geom_beeswarm.

```r
dat<-data.frame(x=rep(1:3,c(20,40,80)))
dat$y<-rnorm(nrow(dat),dat$x)
ggplot(dat,aes(x,y)) + geom_beeswarm(cex=2) + ggtitle('Default (ascending)') + scale_x_continuous(expand=expansion(add=c(0.5,.5)))
```

--------------------------------

### Categorical y-axis

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of using geom_beeswarm with a categorical y-axis.

```r
ggplot(mpg,aes(hwy, class)) + geom_beeswarm(size=.5)
```

--------------------------------

### Automatic dodging

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of automatic dodging with geom_beeswarm when a color aesthetic is mapped.

```r
ggplot(sub_mpg, aes(class, displ, color=factor(cyl))) + geom_beeswarm(dodge.width=0.5)
```

--------------------------------

### Corral runaway points: wrap

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'wrap' corral method for geom_beeswarm.

```r
p + geom_beeswarm(cex = 2.5, corral = "wrap", corral.width = 0.9) + ggtitle('corral = "wrap"')
```

--------------------------------

### Corral runaway points: random

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'random' corral method for geom_beeswarm.

```r
p + geom_beeswarm(cex = 2.5, corral = "random", corral.width = 0.9) + ggtitle('corral = "random"')
```

--------------------------------

### Different point distribution priority: Descending

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'descending' point distribution priority in geom_beeswarm.

```r
ggplot(dat,aes(x,y)) + geom_beeswarm(cex=2,priority='descending') + ggtitle('Descending') + scale_x_continuous(expand=expansion(add=c(0.5,.5)))
```

--------------------------------

### Corral runaway points: omit

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Example of 'omit' corral method for geom_beeswarm, which removes runaway points.

```r
p + geom_beeswarm(cex = 2.5, corral = "omit", corral.width = 0.9) + ggtitle('corral = "omit"')
    ## Warning: Removed 303 rows containing missing values (geom_point).
```

--------------------------------

### Alternative methods: swarm

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates the 'swarm' method for geom_beeswarm.

```r
df <- data.frame(
  x = "A",
  y = sample(1:100, 200, replace = TRUE)
)
ggplot(df, aes(x = x, y = y)) + geom_beeswarm(cex = 2.5, method = "swarm") + ggtitle('method = "swarm" (default)')
```

--------------------------------

### Alternative methods: center

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates the 'center' method for geom_beeswarm.

```r
ggplot(df, aes(x = x, y = y)) + geom_beeswarm(cex = 2.5, method = "center") + ggtitle('method = "center"')
```

--------------------------------

### Alternative methods: compactswarm

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates the 'compactswarm' method for geom_beeswarm.

```r
ggplot(df, aes(x = x, y = y)) + geom_beeswarm(cex = 2.5, method = "compactswarm") + ggtitle('method = "compactswarm"')
```

--------------------------------

### Alternative methods: square

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates the 'square' method for geom_beeswarm.

```r
ggplot(df, aes(x = x, y = y)) + geom_beeswarm(cex = 2.5, method = "square") + ggtitle('method = "square"')
```

--------------------------------

### Alternative methods: hex

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates the 'hex' method for geom_beeswarm.

```r
ggplot(df, aes(x = x, y = y)) + geom_beeswarm(cex = 2.5, method = "hex") + ggtitle('method = "hex"')
```

--------------------------------

### Comparison with geom_quasirandom

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Compare geom_quasirandom with geom_jitter on the iris dataset.

```r
ggplot(iris,aes(Species, Sepal.Length)) + geom_quasirandom()
```

--------------------------------

### geom_quasirandom with Tukey Dense Method

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with the 'tukeyDense' method.

```r
ggplot(iris, aes(Species, Sepal.Length)) + geom_quasirandom(method = "tukeyDense") +
    ggtitle("Tukey + density")
```

--------------------------------

### Comparison with geom_jitter

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Compare geom_jitter with geom_quasirandom on the iris dataset.

```r
set.seed(12345)
library(ggplot2)
library(ggbeeswarm)
#compare to jitter
ggplot(iris,aes(Species, Sepal.Length)) + geom_jitter()
```

--------------------------------

### geom_quasirandom with Automatic Dodging

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates automatic dodging with geom_quasirandom when a grouping variable is categorical and dodge.width is specified.

```r
sub_mpg <- mpg[mpg$class %in% c("midsize", "pickup", "suv"),]
ggplot(sub_mpg, aes(class, displ, color=factor(cyl))) + geom_quasirandom(dodge.width=1)
```

--------------------------------

### geom_quasirandom with Frowney Method

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with the 'frowney' method.

```r
ggplot(iris, aes(Species, Sepal.Length)) + geom_quasirandom(method = "frowney") +
    ggtitle("Banded frowns")
```

--------------------------------

### geom_quasirandom with Tukey Method

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with the 'tukey' method.

```r
ggplot(iris, aes(Species, Sepal.Length)) + geom_quasirandom(method = "tukey") + ggtitle("Tukey texture")
```

--------------------------------

### geom_quasirandom with Pseudorandom Method

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with the 'pseudorandom' method.

```r
ggplot(iris, aes(Species, Sepal.Length)) + geom_quasirandom(method = "pseudorandom") +
    ggtitle("Jittered density")
```

--------------------------------

### geom_quasirandom with Smiley Method

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with the 'smiley' method.

```r
ggplot(iris, aes(Species, Sepal.Length)) + geom_quasirandom(method = "smiley") +
    ggtitle("Banded smiles")
```

--------------------------------

### geom_quasirandom with Variable Width

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with varwidth=TRUE to adjust width dynamically.

```r
ggplot(mpg,aes(class, hwy)) + geom_quasirandom(varwidth = TRUE)
```

--------------------------------

### geom_beeswarm on mpg Dataset

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_beeswarm on the mpg dataset with a specified size.

```r
ggplot(mpg,aes(class, hwy)) + geom_beeswarm(size=.5)
```

--------------------------------

### Default geom_quasirandom

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Default usage of geom_quasirandom on the mpg dataset.

```r
ggplot(mpg,aes(class, hwy)) + geom_quasirandom()
```

--------------------------------

### Points escaping the plot

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Demonstrates how to use scale_y_discrete to prevent points from escaping the plot area.

```r
ggplot(mpg,aes(hwy, class)) + geom_beeswarm(size=.5) + scale_y_discrete(expand=expansion(add=c(0.5,1)))
```

--------------------------------

### geom_beeswarm with Side Argument

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_beeswarm with the side argument set to 1L.

```r
ggplot(iris,aes(Species, Sepal.Length)) + geom_beeswarm(side = 1L)
```

--------------------------------

### geom_quasirandom with Categorical Y-axis

Source: https://github.com/eclarke/ggbeeswarm/blob/main/README.md

Using geom_quasirandom with a categorical y-axis.

```r
ggplot(mpg,aes(hwy, class)) + geom_quasirandom(groupOnX=FALSE)
```

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