ggclust {MicrobiotaProcess} | R Documentation

## plot the result of hierarchical cluster analysis for the samples

### Description

plot the result of hierarchical cluster analysis for the samples

### Usage

    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,
      ...
    )

### Arguments

`obj` | R object, clustplotClass.
`...,` | additional params, see also `geom_tippoint`
`layout` | character, the layout of tree, see also `ggtree`.
`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.

### Value

the figures of hierarchical cluster.

### Author(s)

Shuangbin Xu

### Examples

    #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))

[Package MicrobiotaProcess version 1.0.5 Index]