plot_taxa_rank: Plot taxa ranks

In ecocomDP: Tools to Create, Use, and Convert ecocomDP Data

Plot taxa ranks

Description

Plot the number of observations that use each taxonomic rank in the dataset.

Usage

plot_taxa_rank(
  data,
  id = NA_character_,
  facet_var = NA_character_,
  facet_scales = "free",
  alpha = 1
)

Arguments

data	(list or tbl_df, tbl, data.frame) The dataset object returned by read_data(), a named list of tables containing the observation and taxon tables, or a flat table containing columns of the observation and taxon tables.
id	(character) Identifier of dataset to be used in plot subtitles. Is automatically assigned when data is a dataset object containing the id field, or is a table containing the package_id column.
facet_var	(character) Name of column to use for faceting. Must be a column of the observation or taxon table.
facet_scales	(character) Should scales be free ("free", default value), fixed ("fixed"), or free in one dimension ("free_x", "free_y")?
alpha	(numeric) Alpha-transparency scale of data points. Useful when many data points overlap. Allowed values are between 0 and 1, where 1 is 100% opaque. Default is 1.

Details

The data parameter accepts a range of input types but ultimately requires the 13 columns of the combined observation and taxon tables.

Value

(gg, ggplot) A gg, ggplot object if assigned to a variable, otherwise a plot to your active graphics device

Examples

## Not run: 
# Read a dataset of interest
dataset <- read_data(
  id = "neon.ecocomdp.20120.001.001",
  site= c('COMO','LECO'), 
  startdate = "2017-06",
  enddate = "2019-09",
  check.size = FALSE)

# Plot the dataset
plot_taxa_rank(dataset)

# Plot with facet by location
plot_taxa_rank(dataset, facet_var = "location_id")

# Flatten the dataset, manipulate, then plot
dataset %>% 
  flatten_data() %>% 
  dplyr::filter(lubridate::as_date(datetime) > "2003-07-01") %>%
  dplyr::filter(grepl("COMO",location_id)) %>%
  plot_taxa_rank()

## End(Not run)

# Plot the example dataset
plot_taxa_rank(ants_L1)

ecocomDP documentation built on March 18, 2022, 5:36 p.m.