calculate_diversities: Calculate Diversities Indices

In hagis: Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity

Calculate Diversities Indices

Description

Calculate five pathogen diversity indices.

Diversity indices include:

• Simple diversity index, which will show the proportion of unique pathotypes to total samples. As the values gets closer to 1, there is greater diversity in pathoypes within the population. Simple diversity is calculated as:

  D = \frac{Np}{Ns}

  where Np is the number of pathotypes and Ns is the number of samples.

• Gleason diversity index, an alternate version of Simple diversity index, is less sensitive to sample size than the Simple index.

  D = \frac{ (Np - 1) }{ log(Ns)}

  Where Np is the number of pathotypes and Ns is the number of samples.

• Shannon diversity index is typically between 1.5 and 3.5, as richness and evenness of the population increase, so does the Shannon index value.

  D = -\sum_{i = 1}^{R} p_i \log p_i

  Where p_i is the proportional abundance of species i.

• Simpson diversity index values range from 0 to 1, 1 represents high diversity and 0 represents no diversity. Where diversity is calculated as:

  D = \sum_{i = 1}^{R} p_i^2

• Evenness ranges from 0 to 1, as the Evenness value approaches 1, there is a more even distribution of each pathoype's frequency within the population. Where Evenness is calculated as:

  D = \frac{H'}{log(Np) }

  where H' is the Shannon diversity index and Np is the number of pathotypes.

Usage

calculate_diversities(x, cutoff, control, sample, gene, perc_susc)

Arguments

x	a data.frame containing the data.
cutoff	value for percent susceptible cutoff. Numeric.
control	value used to denote the susceptible control in the gene column. Character.
sample	column providing the unique identification for each sample being tested. Character.
gene	column providing the gene(s) being tested. Character.
perc_susc	column providing the percent susceptible reactions. Character.

Value

hagis.diversities object containing

• Number of Samples

• Number of Pathotypes

• Simple Diversity Index

• Gleason Diversity Index

• Shannon Diversity Index

• Simpson Diversity Index

• Evenness Diversity Index

Examples

# Using the built-in data set, P_sojae_survey
data(P_sojae_survey)

P_sojae_survey

# calculate susceptibilities with a 60 % cutoff value
diversities <- calculate_diversities(x = P_sojae_survey,
                                     cutoff = 60,
                                     control = "susceptible",
                                     sample = "Isolate",
                                     gene = "Rps",
                                     perc_susc = "perc.susc")

diversities

hagis documentation built on Sept. 8, 2023, 5:20 p.m.