alpha_div_boxplot {animalcules} | R Documentation

## Alpha diversity boxplot

### Description

Alpha diversity boxplot

### Usage

    alpha_div_boxplot(
      MAE,
      tax_level,
      condition,
      alpha_metric = c("inverse_simpson", "gini_simpson", "shannon", "fisher", "coverage")
    )

### Arguments

`MAE` | A multi-assay experiment object
`tax_level` | The taxon level used for organisms
`condition` | Which condition to group samples
`alpha_metric` | Which alpha diversity metric to use

### Value

A plotly object

### Examples

    data_dir = system.file('extdata/MAE.rds', package = 'animalcules')
    toy_data <- readRDS(data_dir)
    p <- alpha_div_boxplot(toy_data,
                           tax_level = 'genus',
                           condition = 'DISEASE',
                           alpha_metric = 'shannon')
    p

[Package animalcules version 1.3.6 Index]