Adds a bar annotation layer to a `InputHeatmap`, that on evaluation creates a `ComplexHeatmap`

annotation_bar() from a `InputHeatmap` object, adds a bar annotation layer.

annotation_bar(.data, .column, palette = NULL, size = NULL, ...)

# S4 method for class 'InputHeatmap'
annotation_bar(.data, .column, palette = NULL, size = NULL, ...)

Source

[Mangiola and Papenfuss., 2020](https://joss.theoj.org/papers/10.21105/joss.02472)

Arguments

.data

A `tbl_df` formatted as | <ELEMENT> | <FEATURE> | <VALUE> | <...> |

.column

Vector of quotes

palette

A character vector of colors, or a function such as colorRamp2 (see examples).

size

A grid::unit object, e.g. unit(2, "cm"). This is the height or width of the annotation depending on the orientation.

...

The arguments that will be passed to top_annotation or left_annotation of the ComplexHeatmap container

Value

A `InputHeatmap` object that gets evaluated to a `ComplexHeatmap`

A `InputHeatmap` object that gets evaluated to a `ComplexHeatmap`

Details

maturing

It uses `ComplexHeatmap` as visualisation tool.

References

Mangiola, S. and Papenfuss, A.T., 2020. "tidyHeatmap: an R package for modular heatmap production based on tidy principles." Journal of Open Source Software. doi:10.21105/joss.02472.

Examples

hm = 
  tidyHeatmap::N52 |>
  tidyHeatmap::heatmap(
    .row = symbol_ct,
    .column = UBR,
    .value = `read count normalised log`
)
#> tidyHeatmap says: (once per session) from release 1.7.0 the scaling is set to "none" by default. Please use scale = "row", "column" or "both" to apply scaling

hm |> annotation_bar(inflection)