mp_plot_alpha-methods: Plotting the alpha diversity between samples or groups.

mp_plot_alphaR Documentation

Plotting the alpha diversity between samples or groups.

Description

Plotting the alpha diversity between samples or groups.

Usage

mp_plot_alpha(
  .data,
  .group,
  .alpha = c("Observe", "Shannon"),
  test = "wilcox.test",
  comparisons = NULL,
  step_increase = 0.05,
  ...
)

## S4 method for signature 'MPSE'
mp_plot_alpha(
  .data,
  .group,
  .alpha = c("Observe", "Shannon"),
  test = "wilcox.test",
  comparisons = NULL,
  step_increase = 0.05,
  ...
)

## S4 method for signature 'tbl_mpse'
mp_plot_alpha(
  .data,
  .group,
  .alpha = c("Observe", "Shannon"),
  test = "wilcox.test",
  comparisons = NULL,
  step_increase = 0.05,
  ...
)

## S4 method for signature 'grouped_df_mpse'
mp_plot_alpha(
  .data,
  .group,
  .alpha = c("Observe", "Shannon"),
  test = "wilcox.test",
  comparisons = NULL,
  step_increase = 0.05,
  ...
)

Arguments

.data

MPSE or tbl_mpse object

.group

the column name of sample group information

.alpha

the column name of alpha index after run mp_cal_alpha or mp_cal_pd_metric.

test

the name of the statistical test, default is 'wilcox.test'

comparisons

A list of length-2 vectors. The entries in the vector are either the names of 2 values on the x-axis or the 2 integers that correspond to the index of the columns of interest, default is NULL, meaning it will be calculated automatically with the names in the .group.

step_increase

numeric vector with the increase in fraction of total height for every additional comparison to minimize overlap, default is 0.05.

...

additional parameters, see also geom_signif

Author(s)

Shuangbin Xu

Examples

## Not run: 
data(mouse.time.mpse)
mpse <- mouse.time.mpse %>%
        mp_rrarefy() %>%
        mp_cal_alpha(.abundance=RareAbundance)
mpse
p <- mpse %>% 
     mp_plot_alpha(.group=time, .alpha=c(Observe, Shannon, Pielou))
p

## End(Not run)

xiangpin/MicrobitaProcess documentation built on April 12, 2024, 9:03 p.m.