facet_tornado: Automatic facets for tornado heatmaps
In teunbrand/tornadoplot: Tornado Plot

Description Usage Arguments Value Examples

Automatic facets for tornado heatmaps

facet_tornado(
  tornado,
  rows = NULL,
  cols = NULL,
  scales = NULL,
  space = NULL,
  switch = NULL,
  shrink = NULL,
  labeller = NULL,
  as.table = NULL,
  drop = NULL,
  margins = NULL,
  strip.placement = NULL
)

`tornado`	A `tornado_df` data.frame, such as one that results from processing a tornado array with `prep_tornado()`.
`rows`	A set of variables or expressions quoted by `vars()` and defining faceting groups on the rows or columns dimension. The variables can be named (the names are passed to `labeller`). For compatibility with the classic interface, `rows` can also be a formula with the rows (of the tabular display) on the LHS and the columns (of the tabular display) on the RHS; the dot in the formula is used to indicate there should be no faceting on this dimension (either row or column).
`cols`	A set of variables or expressions quoted by `vars()` and defining faceting groups on the rows or columns dimension. The variables can be named (the names are passed to `labeller`). For compatibility with the classic interface, `rows` can also be a formula with the rows (of the tabular display) on the LHS and the columns (of the tabular display) on the RHS; the dot in the formula is used to indicate there should be no faceting on this dimension (either row or column).
`scales`	Are scales shared across all facets (the default, `"fixed"`), or do they vary across rows (`"free_x"`), columns (`"free_y"`), or both rows and columns (`"free"`)?
`space`	If `"fixed"`, the default, all panels have the same size. If `"free_y"` their height will be proportional to the length of the y scale; if `"free_x"` their width will be proportional to the length of the x scale; or if `"free"` both height and width will vary. This setting has no effect unless the appropriate scales also vary.
`switch`	By default, the labels are displayed on the top and right of the plot. If `"x"`, the top labels will be displayed to the bottom. If `"y"`, the right-hand side labels will be displayed to the left. Can also be set to `"both"`.
`shrink`	If `TRUE`, will shrink scales to fit output of statistics, not raw data. If `FALSE`, will be range of raw data before statistical summary.
`labeller`	A function that takes one data frame of labels and returns a list or data frame of character vectors. Each input column corresponds to one factor. Thus there will be more than one with `vars(cyl, am)`. Each output column gets displayed as one separate line in the strip label. This function should inherit from the "labeller" S3 class for compatibility with `labeller()`. You can use different labeling functions for different kind of labels, for example use `label_parsed()` for formatting facet labels. `label_value()` is used by default, check it for more details and pointers to other options.
`as.table`	If `TRUE`, the default, the facets are laid out like a table with highest values at the bottom-right. If `FALSE`, the facets are laid out like a plot with the highest value at the top-right.
`drop`	If `TRUE`, the default, all factor levels not used in the data will automatically be dropped. If `FALSE`, all factor levels will be shown, regardless of whether or not they appear in the data.
`margins`	Either a logical value or a character vector. Margins are additional facets which contain all the data for each of the possible values of the faceting variables. If `FALSE`, no additional facets are included (the default). If `TRUE`, margins are included for all faceting variables. If specified as a character vector, it is the names of variables for which margins are to be created.
`strip.placement`	placement of strip with respect to axes, either "inside" or "outside". Only important when axes and strips are on the same side of the plot.