Legend: Make a Single Legend
In ComplexHeatmap: Make Complex Heatmaps

Description Usage Arguments Details Value See Also Examples

Make a Single Legend

Legend(at, labels = at, col_fun, name = NULL,
    break_dist = NULL, nrow = NULL, ncol = 1, by_row = FALSE,
    grid_height = unit(4, "mm"),
    grid_width = unit(4, "mm"),
    gap = unit(2, "mm"), column_gap = gap, row_gap = unit(0, "mm"),
    labels_gp = gpar(fontsize = 10), labels_rot = 0,
    border = NULL, background = "#EEEEEE",
    type = "grid", graphics = NULL, legend_gp = gpar(),
    pch = 16, size = unit(2, "mm"),
    legend_height = NULL, legend_width = NULL,
    direction = c("vertical", "horizontal"),
    title = "", title_gp = gpar(fontsize = 10, fontface = "bold"),
    title_position = c("topleft", "topcenter", "leftcenter", "lefttop", "leftcenter-rot", "lefttop-rot"),
    title_gap = unit(2, "mm"))

`at`	Breaks of the legend. The values can be either numeric or character. If it is not specified, the values of `labels` are taken as labels.
`labels`	Labels corresponding to `at`. If it is not specified, the values of `at` are taken as labels.
`col_fun`	A color mapping function which is used to make a continuous legend. Use `colorRamp2` to generate the color mapping function. If `at` is missing, the breaks recorded in the color mapping function are used for `at`.
`name`	Name of the legend, internally used.
`break_dist`	A zooming factor to control relative distance of two neighbouring break values.The length of it should be `length(at) - 1` or a scalar.
`nrow`	For legend which is represented as grids, `nrow` controls number of rows of the grids if the grids are arranged into multiple rows.
`ncol`	Similar as `nrow`, `ncol` controls number of columns of the grids if the grids are arranged into multiple columns. Note at a same time only one of `nrow` and `ncol` can be specified.
`by_row`	Are the legend grids arranged by rows or by columns?
`grid_height`	The height of legend grid. It can also control the height of the continuous legend if it is horizontal.
`grid_width`	The width of legend grid. It can also control the width of the continuous legend if it is vertical.
`gap`	If legend grids are put into multiple rows or columns, this controls the gap between neighbouring rows or columns, measured as a `unit` object.
`column_gap`	The same as `gap`.
`row_gap`	Space between legend rows.
`labels_gp`	Graphic parameters for labels.
`labels_rot`	Text rotation for labels. It should only be used for horizontal continuous legend.
`border`	Color of legend grid borders. It also works for the ticks in the continuous legend.
`background`	Background colors for the grids. It is used when points and lines are the legend graphics.
`type`	Type of legends. The value can be one of `grid`, `points`, `lines` and `boxplot`.
`graphics`	Self-defined graphics for legends. The value should be a list of functions. Each function should accept four argumets: `x` and `y`: positions of the legend grid (center point), `w` and `h`: width and height of the legend grid.
`legend_gp`	Graphic parameters for the legend grids. You should control the filled color of the legend grids by `gpar(fill = ...)`.
`pch`	Type of points if points are used as legend. Note you can use single-letter as pch, e.g. `pch = 'A'`. There are three additional integers that are valid for `pch`: 26 and 27 for single diagonal lines and 28 for double diagonal lines.
`size`	Size of points.
`legend_height`	Height of the whole legend body. It is only used for vertical continous legend.
`legend_width`	Width of the whole legend body. It is only used for horizontal continous legend.
`direction`	Direction of the legend, vertical or horizontal?
`title`	Title of the legend.
`title_gp`	Graphic parameters of the title.
`title_position`	Position of title relative to the legend. `topleft`, `topcenter`, `leftcenter-rot` and `lefttop-rot` are only for vertical legend and `leftcenter`, `lefttop` are only for horizontal legend.
`title_gap`	Gap between title and the legend body.

Most of the argument can also be set in heatmap_legend_param argument in Heatmap or annotation_legend_param argument in HeatmapAnnotation to configure legend styles for heatmap and annotations.

A Legends-class object.

packLegend packs multiple legends into one Legends-class object.

See examples of configuring legends: https://jokergoo.github.io/ComplexHeatmap-reference/book/legends.html

lgd = Legend(labels = month.name[1:6], title = "foo", legend_gp = gpar(fill = 1:6))
draw(lgd, test = "add labels and title")

require(circlize)
col_fun = colorRamp2(c(0, 0.5, 1), c("blue", "white", "red"))
lgd = Legend(col_fun = col_fun, title = "foo")
draw(lgd, test = "only col_fun")

col_fun = colorRamp2(c(0, 0.5, 1), c("blue", "white", "red"))
lgd = Legend(col_fun = col_fun, title = "foo", at = c(0, 0.1, 0.15, 0.5, 0.9, 0.95, 1))
draw(lgd, test = "unequal interval breaks")

Loading required package: grid
========================================
ComplexHeatmap version 2.6.2
Bioconductor page: http://bioconductor.org/packages/ComplexHeatmap/
Github page: https://github.com/jokergoo/ComplexHeatmap
Documentation: http://jokergoo.github.io/ComplexHeatmap-reference

If you use it in published research, please cite:
Gu, Z. Complex heatmaps reveal patterns and correlations in multidimensional 
  genomic data. Bioinformatics 2016.

This message can be suppressed by:
  suppressPackageStartupMessages(library(ComplexHeatmap))
========================================

Loading required package: circlize
========================================
circlize version 0.4.11
CRAN page: https://cran.r-project.org/package=circlize
Github page: https://github.com/jokergoo/circlize
Documentation: https://jokergoo.github.io/circlize_book/book/

If you use it in published research, please cite:
Gu, Z. circlize implements and enhances circular visualization
  in R. Bioinformatics 2014.

This message can be suppressed by:
  suppressPackageStartupMessages(library(circlize))
========================================