tidyHeatmap (version 1.6.0)

add_point: Adds a point annotation layer to a `InputHeatmap`, that on evaluation creates a `ComplexHeatmap`

Description

add_point() from a `InputHeatmap` object, adds a point annotation layer.

Usage

add_point(.data, .column, palette = NULL, size = NULL, ...)
# S4 method for InputHeatmap
add_point(.data, .column, palette = NULL, size = NULL, ...)

Arguments

.data

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

.column

Vector of quotes

palette

A character vector of colors This is the list of palettes that will be used for horizontal and vertical discrete annotations. The discrete classification of annotations depends on the column type of your input tibble (e.g., character and factor).

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.

Examples

# NOT RUN {
library(dplyr)

hm = 
  tidyHeatmap::N52 %>%
  tidyHeatmap::heatmap(
    .row = symbol_ct,
    .column = UBR,
    .value = `read count normalised log`
)

hm %>% add_point()


# }