plotAbundances {CATALYST} | R Documentation

## Population frequencies across samples & clusters

### Description

Plots the relative population abundances of the specified clustering.

### Usage

    plotAbundances(x, ...)

    ## S4 method for signature 'daFrame'
    plotAbundances(x, k = "meta20", by = c("sample_id",
      "cluster_id"), group = NULL, shape = NULL)

### Arguments

`x` | a `daFrame`.
`...` | optional arguments.
`k` | character string. Specifies which clustering to use.
`by` | a character string specifying whether to plot frequencies by samples or clusters.
`group` | a character string. Should corresponds to a column name of `rowData(x)` other than "sample_id" and "cluster_id". The default NULL will use the first factor available.
`shape` | a character string. Should correspond to a column name of `rowData(x)` other than "sample_id" and "cluster_id". The default NULL will use the first factor available.

### Value

a `ggplot` object.

### Author(s)

Helena Lucia Crowell helena.crowell@uzh.ch

### References

Nowicka M, Krieg C, Weber LM et al. CyTOF workflow: Differential discovery in high-throughput high-dimensional cytometry datasets. F1000Research 2017, 6:748 (doi: 10.12688/f1000research.11622.1)

### Examples

    data(PBMC_fs, PBMC_panel, PBMC_md)
    re <- daFrame(PBMC_fs, PBMC_panel, PBMC_md)
    # run clustering
    re <- cluster(re)
    # plot relative population abundances
    plotAbundances(re, k="meta12")                 # ...by sample
    plotAbundances(re, k="meta8", by="cluster_id") # ...by cluster

[Package CATALYST version 1.6.7 Index]