ggclust {MicrobiotaProcess} | R Documentation |
plot the result of hierarchical cluster analysis for the samples
ggclust(obj, ...) ## S3 method for class 'clustplotClass' ggclust( obj, layout = "rectangular", factorNames = NULL, factorLevels = NULL, pointsize = 2, fontsize = 2.6, hjust = -0.1, settheme = TRUE, ... )
obj |
R object, clustplotClass. |
..., |
additional params, see also |
layout |
character, the layout of tree, see also |
factorNames |
character, default is NULL. |
factorLevels |
list, default is NULL. |
pointsize |
numeric, the size of point, default is 2. |
fontsize |
numeric, the size of text of tiplabel, default is 2.6. |
hjust |
numeric, default is -0.1 |
settheme |
logical, default is TRUE. |
the figures of hierarchical cluster.
Shuangbin Xu
#don't run in examples #library(phyloseq) #library(ggtree) #library(ggplot2) #data(GlobalPatterns) #subGlobal <- subset_samples(GlobalPatterns, # SampleType %in% c("Feces", "Mock", "Ocean", "Skin")) #hcsample <- get_clust(subGlobal, distmethod="jaccard", # method="hellinger", hclustmethod="average") #hc_p <- ggclust(hcsample, layout = "rectangular", # pointsize=1, fontsize=0, # factorNames=c("SampleType")) + # theme_tree2(legend.position="right", # plot.title = element_text(face="bold", lineheight=25,hjust=0.5))