Description Usage Arguments Value Note See Also Examples

Create options structure for `plotluck`

1 | ```
plotluck.options(opts, ...)
``` |

`opts` |
An (optional) named list to start with. Anything not specified in ... will be inherited from opts. |

`...` |
Parameters to override default settings |

A named list of options, usable as argument to function `plotluck`

.

`plotluck`

accepts a list of options to modify its behavior. Calling
`plotluck.options`

without arguments produces a list with the default
values. Specifying any number of attribute/value pairs overrides them
selectively.

Option | Default | Comment |

`na.rm` | `FALSE` | Do not show missing factor values as separate level. |

`geom` | `"auto"` | Override type of plot; the available types for a given formula and variables can be inspected with `verbose=TRUE` . |

`sample.max.rows` | `100000` | If the data set has more rows than that, sample it down. |

`trans.log.thresh` | `2` | Threshold for logarithmic axis scaling. Visible magnification factor of the central region of the distribution. |

`n.breaks.histogram` | `NA` | Override the number of histogram breaks. |

`min.points.hex` | `5000` | Minimum data points required to display a hexbin plot. |

`min.points.density` | `20` | Minimum data points required to display a density or histogram plot. |

`min.points.violin` | `20` | Minimum data points required to display a violin or box plot. |

`resolution.heat` | `30` | Grid spacing for heat maps. |

`dedupe.scatter` | `'area'` | To represent multiple instances of the same coordinates in scatter plot: scale the point size, or use jitter? |

`min.points.jitter` | `3` | Minimum number of coordinate duplicates to start jittering points. |

`jitter.x` | `0.4` | Amount of jitter to apply in horizontal direction, as a fraction of resolution. |

`jitter.y` | `0.4` | Amount of jitter to apply in vertical direction, as a fraction of resolution. |

`few.unique.as.factor` | `5` | If a numeric variable has less than that many unique values, make it an ordered factor. |

`max.factor.levels` | `30` | For factors with more than that many levels, least frequent ones will be pruned into "other". |

`max.factor.levels.color` | `3` | Maximum number of factor levels that can be represented as colors in the same plot. |

`max.factor.levels.violin` | `20` | Maximum number of levels to plot violins; rather switch to box plot. |

`max.factor.levels.spine.x` | `20` | Maximum number of levels to plot in x-direction in a spine plot. |

`max.factor.levels.spine.y` | `10` | Maximum number of levels to plot in y-direction in a spine plot. |

`max.factor.levels.spine.z` | `5` | Maximum number of levels to represent as colors in a spine plot. |

`spine.plot.margin.x` | `0.05` | Horizontal gap between rectangles in a spine plot. |

`spine.plot.margin.y` | `0.02` | Vertical gap between rectangles in a spine plot. |

`facet.max.cols` | `10` | Maximum number of facet columns for conditional variables. |

`facet.max.rows` | `10` | Maximum number of facet rows for conditional variables. |

`facet.num.wrap` | `6` | Preferred number of facets for single conditional variable. |

`facet.num.grid` | `3` | Preferred number of facets for each of two conditional variables. |

`prefer.factors.vert` | `TRUE` | In mixed numeric/factor plots, use vertical axis for the factor. |

`fill.default` | `"deepskyblue"` | Default fill color for density and histogram plots. |

`palette.brewer.seq` | `"YlGn"` | Sequential brewer palette name. |

`palette.brewer.qual` | `"Set1"` | Qualitative brewer palette name. |

`multi.entropy.order` | `TRUE` | Use estimated conditional entropy to order multi-plots. |

`multi.max.rows` | `6` | Maximum number of rows for multi-plots. |

`multi.max.cols` | `6` | Maximum number of columns for multi-plots. |

`multi.in.grid` | `TRUE` | In multi-plots, make a page with multiple plots, or generate each one separately. |

`verbose` | `FALSE` | Print information about plot types, ordering, scaling, etc. |

`plotluck`

's aim is to provide a function that is usable
"out-of-the-box", with no or very little manual tweaking. If you find
yourself needing to change option values repeatedly or find the presets to
be suboptimal, please contact the author.

1 2 3 4 5 6 7 8 9 | ```
# list all default options
plotluck.options()
data(iris)
# default with violin plot
plotluck(iris, Petal.Length~Species)
# use box-and-whiskers plot instead
plotluck(iris, Petal.Length~Species, opts=plotluck.options(geom='box'))
``` |

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