dendextend: pvclust_edges – R documentation

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pvclust_edges

Get Pvclust Edges Information

Description

Get pvclust edges information such as au and bp and return dataframe with proper sample labels. This function is useful when there are a lot of samples involved.

Usage

pvclust_edges(pvclust_obj)

Arguments

pvclust_obj

pvclust object

Value

data.frame with leaves on column 1 and 2, followed by the rest of the information from edge

References

hclust object descriptions https://stat.ethz.ch/R-manual/R-patched/library/stats/html/hclust.html

Examples

## Not run: 

library(pvclust)
data(lung) # 916 genes for 73 subjects
set.seed(13134)
result <- pvclust(lung[, 1:20], method.dist = "cor", method.hclust = "average", nboot = 100)
pvclust_edges(result)

## End(Not run)

dendextend

Extending 'dendrogram' Functionality in R

v1.15.1

GPL-2 | GPL-3

Authors

Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf), Samuel Perreault [ctb] (https://github.com/samperochkin), Christian Hennig [ctb] (http://www.homepages.ucl.ac.uk/~ucakche/), David Bradley [ctb] (https://github.com/DBradley27), Houyun Huang [ctb] (https://github.com/houyunhuang)

Initial release

2021-05-08