plot.sparge {caroline} | R Documentation |

## Visually compare all points from different univariate distributions

### Description

Visually compare continuuous univariate distributions using jittered and transparent points.

### Usage

```
## S3 method for class 'sparge'
plot(x, jit.f=1, zl=TRUE, xlim=range(unlist(unlist(x))),
add=FALSE, pd=0, box.brdrs='gray', col=1, alpha=.3, ...)
```

### Arguments

`x` |
a list of vectors each with values drawn from the same distribution |

`jit.f` |
factor for random jittering (see 'jitter()' |

`zl` |
should we add a horizontal [zero] line at x=0? |

`add` |
should we add to the existing plot? |

`pd` |
'position dodge' moves all y axis plotting positions up or down by this factor |

`xlim` |
x axis plot limits |

`alpha` |
transparency level for [overlapping] points |

`box.brdrs` |
the color of the borders of the box plots surrounding all distributions |

`col` |
(vector of) [base] colors of the points of the distribution(s) |

`...` |
other parameters passed on to plot |

### Value

a 'sparge' [sprinkle/smear] plot of point distributions

### See Also

See also 'boxplot' and 'stripchart' in package 'graphics' as well as 'violin', 'bean', 'ridgelines', and 'raincloud' plots.

### Examples

```
N=300
x=lapply(sample(1:5), function(avg) (rnorm(N,avg)))
plot.sparge(x, col=rep('blue',length(x)), main='sparge plots:\nfor distributional comparison')
```

*caroline*version 0.9.2 Index]