changeTree | R Documentation |
changeTree
changes a row or column tree in a
TreeSummarizedExperiment
object.
changeTree(
x,
rowTree = NULL,
rowNodeLab = NULL,
colTree = NULL,
colNodeLab = NULL,
whichRowTree = 1,
whichColTree = 1
)
x |
A TreeSummarizedExperiment object |
rowTree |
A phylo object. A new row tree. |
rowNodeLab |
A character string. It provides the labels of nodes that the rows of assays tables corresponding to. If NULL (default), the row names of the assays tables are used. |
colTree |
A phylo object. A new column tree. |
colNodeLab |
A character string. It provides the labels of nodes that the columns of assays tables corresponding to. If NULL (default), the column names of the assays tables are used. |
whichRowTree |
Which row tree to be replaced? Default is 1 (the first
tree in the |
whichColTree |
Which column tree to be replaced? Default is 1 (the first
tree in the |
A TreeSummarizedExperiment object
Ruizhu Huang
library(ape)
set.seed(1)
treeR <- ape::rtree(10)
# the count table
count <- matrix(rpois(160, 50), nrow = 20)
rownames(count) <- paste0("entity", 1:20)
colnames(count) <- paste("sample", 1:8, sep = "_")
# The sample information
sampC <- data.frame(condition = rep(c("control", "trt"),
each = 4),
gender = sample(x = 1:2, size = 8,
replace = TRUE))
rownames(sampC) <- colnames(count)
# build a TreeSummarizedExperiment object
tse <- TreeSummarizedExperiment(assays = list(count),
colData = sampC,
rowTree = treeR,
rowNodeLab = rep(treeR$tip.label, each =2))
treeR2 <- drop.tip(phy = treeR, tip = c("t10", "t9", "t8"))
# if rownames are not used in node labels of the tree, provide rowNodeLab
use <- changeTree(x = tse, rowTree = treeR2,
rowNodeLab = rep(treeR$tip.label, each =2))
use
# if rownames are used in node labels of tree, rowNodeLab is not required.
rownames(tse) <- rep(treeR$tip.label, each =2)
cse <- changeTree(x = tse, rowTree = treeR2)
cse
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