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pvclust_show_signif

The significant branches in a dendrogram, based on a pvclust object


Description

Shows the significant branches in a dendrogram, based on a pvclust object

Usage

pvclust_show_signif(
  dend,
  pvclust_obj,
  signif_type = c("bp", "au"),
  alpha = 0.05,
  signif_value = c(5, 1),
  show_type = c("lwd", "col"),
  ...
)

Arguments

dend

a dendrogram object

pvclust_obj

a pvclust object

signif_type

a character scalar (either "bp" or "au"), indicating which of the two should be used to update the dendrogram.

alpha

a number between 0 to 1, default is .05. Indicates what is the cutoff from which branches will be updated.

signif_value

a 2d vector (deafult: c(5,1)), with the first element tells us what the significant branches will get, and the second element which value the non-significant branches will get.

show_type

a character scalar (either "lwd" or "col"), indicating which parameter of the branches should be updated based on significance.

...

not used

Value

A dendrogram with updated branches

See Also

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)

dend <- as.dendrogram(result)
result %>%
  as.dendrogram() %>%
  hang.dendrogram() %>%
  plot(main = "Cluster dendrogram with AU/BP values (%)")
result %>% text()
result %>% pvrect(alpha = 0.95)

dend %>%
  pvclust_show_signif(result) %>%
  plot()
dend %>%
  pvclust_show_signif(result, show_type = "lwd") %>%
  plot()
result %>% text()
result %>% pvrect(alpha = 0.95)

dend %>%
  pvclust_show_signif_gradient(result) %>%
  plot()

dend %>%
  pvclust_show_signif_gradient(result) %>%
  pvclust_show_signif(result) %>%
  plot(main = "Cluster dendrogram with AU/BP values (%)\n bp values are highlighted by signif")
result %>% text()
result %>% pvrect(alpha = 0.95)

## 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

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