diathor (version 0.0.6)

diat_idp: Calculates the Pampean Diatom Index (IDP)

Description

The input for all of these functions is the resulting dataframe (resultLoad) obtained from the diat_loadData() function A CSV or dataframe cannot be used directly with these functions, they have to be loaded first with the diat_loadData() function so the acronyms and species' names are recognized References for the index:

• G<U+00F3>mez, N., & Licursi, M. (2001). The Pampean Diatom Index (IDP) for assessment of rivers and streams in Argentina. Aquatic Ecology, 35(2), 173-181.

Sample data in the examples is taken from:

• Nicolosi Gelis, Mar<U+00ED>a Mercedes; Cochero, Joaqu<U+00ED>n; Donadelli, Jorge; G<U+00F3>mez, Nora. 2020. "Exploring the use of nuclear alterations, motility and ecological guilds in epipelic diatoms as biomonitoring tools for water quality improvement in urban impacted lowland streams". Ecological Indicators, 110, 105951. https://doi.org/10.1016/j.ecolind.2019.105951

Usage

diat_idp(resultLoad)

Arguments

resultLoad

The resulting list obtained from the diat_loadData() function

Examples

# NOT RUN {
# Example using sample data included in the package (sampleData):
data("diat_sampleData")
# First, the diat_loadData() function has to be called to read the data
# The data will be stored into a list (loadedData)
# And an output folder will be selected through a dialog box if resultsPath is empty
# In the example, a temporary directory will be used in resultsPath
df <- diat_loadData(diat_sampleData, resultsPath = tempdir())
idpResults <- diat_idp(df)
# }