calcRiffle: Calculate Whalley 'Riffle' habitat-specific BMWP indices for...
In robbriers/biotic: Calculation of Freshwater Biotic Indices
calcRiffle R Documentation
Calculate Whalley 'Riffle' habitat-specific BMWP indices for invertebrate
samples
Description
Calculates Whalley riffle-specific BMWP, ASPT and N-taxa
indices for invertebrate samples.
Usage
calcRiffle(df, type = "num")
Arguments
df
A dataframe containing list of taxa in first column, followed by
columns of abundances with sample names in header row.
type
Indicates format of data. Options are "num" for numeric data,
"log" for integer log abundance categories (1-5) or "alpha" for alphabetic
abundance categories (A-E). Default value is "num".
Value
A data frame consisting of columns of index values with samples
in rows.
Examples
# calculate the Whalley Riffle BMWP indices for the Braid Burn dataset
# data are alphabetic log abundance categories, so type is "alpha"
calcRiffle(braidburn, "alpha")
robbriers/biotic documentation built on April 22, 2022, 1:53 a.m.
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| calcRiffle | R Documentation |
Calculate Whalley 'Riffle' habitat-specific BMWP indices for invertebrate samples
Description
Calculates Whalley riffle-specific BMWP, ASPT and N-taxa indices for invertebrate samples.
Usage
calcRiffle(df, type = "num")
Arguments
df |
A dataframe containing list of taxa in first column, followed by columns of abundances with sample names in header row. |
type |
Indicates format of data. Options are "num" for numeric data, "log" for integer log abundance categories (1-5) or "alpha" for alphabetic abundance categories (A-E). Default value is "num". |
Value
A data frame consisting of columns of index values with samples in rows.
Examples
# calculate the Whalley Riffle BMWP indices for the Braid Burn dataset # data are alphabetic log abundance categories, so type is "alpha" calcRiffle(braidburn, "alpha")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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