plot_clusters: Plot partition in a separate panel
In mgperry/heatmaps: Flexible Heatmaps for Functional Genomics and Sequence Features
Description
Usage
Arguments
Value
See Also
Examples
Description
Plot partition in a separate panel
Usage
1
Arguments
options
heatmapOptions passed as a list
Two heatmapOptions values are relevant:
* partition Numeric vector containing relative sizes of the clusters
* colors Colors to use for clusters, additional colors are discarded
This function plots a vertical color scale (or legend). With the default parameters,
it looks good at about 1/5 the width of a heatmap, about 1cm x 10cm. This
function only plots the legend, it does not set margin parameters.
Value
invisible(0)
See Also
plotHeatmapList
Examples
1
2
3
4
5
data(HeatmapExamples)
opts = heatmapOptions()
opts$partition = c(1,2,3,4)
par(mai=opts$legend.mai)
plot_clusters(opts)
mgperry/heatmaps documentation built on May 22, 2019, 8:53 p.m.
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Description Usage Arguments Value See Also Examples
Description
Plot partition in a separate panel
Usage
1 |
Arguments
options |
heatmapOptions passed as a list Two heatmapOptions values are relevant: * partition Numeric vector containing relative sizes of the clusters * colors Colors to use for clusters, additional colors are discarded This function plots a vertical color scale (or legend). With the default parameters, it looks good at about 1/5 the width of a heatmap, about 1cm x 10cm. This function only plots the legend, it does not set margin parameters. |
Value
invisible(0)
See Also
plotHeatmapList
Examples
1 2 3 4 5 | data(HeatmapExamples)
opts = heatmapOptions()
opts$partition = c(1,2,3,4)
par(mai=opts$legend.mai)
plot_clusters(opts)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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