Description Usage Arguments Value See Also Examples
View source: R/AnnotationFunction-function.R
Joyplot Annotation
1 2 3 4 |
x |
A matrix or a list. If |
which |
Whether it is a column annotation or a row annotation? |
gp |
Graphic parameters for the boxes. The length of the graphic parameters should be one or the number of observations. |
scale |
Relative height of the curve. A value higher than 1 increases the height of the curve. |
transparency |
Transparency of the filled colors. Value should be between 0 and 1. |
axis |
Whether to add axis? |
axis_param |
parameters for controlling axis. See |
width |
Width of the annotation. The value should be an absolute unit. Width is not allowed to be set for column annotation. |
height |
Height of the annotation. The value should be an absolute unit. Height is not allowed to be set for row annotation. |
An annotation function which can be used in HeatmapAnnotation
.
https://jokergoo.github.io/ComplexHeatmap-reference/book/heatmap-annotations.html#joyplot-annotation
1 2 3 4 5 6 7 8 9 10 11 12 13 | m = matrix(rnorm(1000), nc = 10)
lt = apply(m, 2, function(x) data.frame(density(x)[c("x", "y")]))
anno = anno_joyplot(lt, width = unit(4, "cm"), which = "row")
draw(anno, test = "joyplot")
anno = anno_joyplot(lt, width = unit(4, "cm"), which = "row", gp = gpar(fill = 1:10))
draw(anno, test = "joyplot + col")
anno = anno_joyplot(lt, width = unit(4, "cm"), which = "row", scale = 1)
draw(anno, test = "joyplot + scale")
m = matrix(rnorm(5000), nc = 50)
lt = apply(m, 2, function(x) data.frame(density(x)[c("x", "y")]))
anno = anno_joyplot(lt, width = unit(4, "cm"), which = "row", gp = gpar(fill = NA), scale = 4)
draw(anno, test = "joyplot")
|
Loading required package: grid
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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))
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