View source: R/visualiseTree.R
colourTree | R Documentation |
Adding statistical test results onto the tree by using colourful nodes and branches Takes a ggtree object with test results for each node and returns a ggtree graph object
colourTree(
tree,
point_size = 1.5,
high = "#00c434",
low = "purple",
mid = "ivory2"
)
tree |
a tree plot created from the ggtree() function with p$data containing test statisic and p- |
point_size |
size of nodes in the tree |
high |
colour for large values |
low |
colour for low values |
mid |
colour for middle values |
an interactive ggplot graph object, plotting the hierarchical tree of clusters with nodes and branches coloured by the significance testing results.
library(SingleCellExperiment)
data(COVIDSampleData)
sce <- DeBiasi_COVID_CD8_samp
exprs <- t(assay(sce, "exprs"))
clusters <- colData(sce)$cluster_id
classes <- colData(sce)$condition
samples <- colData(sce)$sample_id
clust_tree <- getClusterTree(exprs,
clusters,
hierarchy_method="hopach")
tested_tree <- testTree(clust_tree$clust_tree,
clusters=clusters,
samples=samples,
classes=classes)
colourTree(tested_tree)
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