Learn R Programming

entropart (version 1.4-4)

CommunityProfile: Diversity or Entropy Profile of a community

Description

Calculates the diversity or entropy profile of a community, applying a community function to a vector of orders.

Usage

CommunityProfile(FUN, NorP, q.seq = seq(0, 2, 0.1), 
    NumberOfSimulations = 0, Alpha = 0.05, BootstrapMethod = "Chao2015", 
    ..., CheckArguments = TRUE)
as.CommunityProfile(x, y, low = NULL, high = NULL)
is.CommunityProfile(x)
## S3 method for class 'CommunityProfile':
plot(x, \dots, main = NULL, 
          xlab = "Order of Diversity", ylab = "Diversity", ylim = NULL,
          LineWidth = 2, ShadeColor = "grey75", BorderColor = "red")
CEnvelope(Profile, LineWidth = 2, ShadeColor = "grey75", BorderColor = "red", ...)

Arguments

FUN
The function to be applied to each value of $q$.
NorP
A numeric vector or a two-column matrix. Contains either abundances or probabilities. Two-column matrices should contain the observed abundances (or probabilities) in the first column and the expected ones in the second column, to allow using beta diversi
q.seq
A numeric vector: the sequence of divrsity orders to address. Default is from 0 to 2.
NumberOfSimulations
The number of simulations to run, 0 by default.
Alpha
The risk level, 5% by default.
BootstrapMethod
The method used to obtain the probabilities to generate bootstrapped communities from observed abundances. See rCommunity.
x
An object to be tested or plotted or the vector of orders of community profiles in as.CommunityProfile.
y
Entropy or diversity values of each order, corresponding to x values.
low
Entropy or diversity lower bound of the confidence envelope, corresponding to x values.
high
Entropy or diversity higher bound of the confidence envelope, corresponding to x values.
Profile
An CommunityProfile to be plotted.
...
Additional arguments to be passed to FUN in CommunityProfile, to plot in plot.CommunityProfile or to lines in CEnvelope.
main
The main title of the plot.
xlab
The x axis label of the plots.
ylab
The y axis label of the plot.
ylim
The interval of y values plotted.
LineWidth
The width of the line that represents the actual profile.
ShadeColor
The color of the shaded confidence envelope.
BorderColor
The color of the bounds of the confidence envelope.
CheckArguments
Logical; if TRUE, the function arguments are verified. Should be set to FALSE to save time when the arguments have been checked elsewhere.

Value

  • A CommunityProfile, which is a list:
  • xThe order $q$ values
  • yThe entropy or diversity values returned by FUN
  • lowThe lower bound of the confidence interval
  • highThe upper bound of the confidence interval

Details

The function CommunityProfile is used to calculate diversity or entropy profiles based on community functions such as Tsallis or ChaoPD. The first two arguments of the function must be a probability or abundance vector or a two-column matrix (for beta diversity functions) and a number ($q$). Additional arguments cannot be checked. Unexpected results may be returned if FUN is not used properly. If NumberOfSimulations is greater than 0, a bootstrap confidence interval is produced by simulating communities with rCommunity and calculating their profiles. CommunityProfile objects can be plotted. They can also be added to the current plot by CEnvelope.

Examples

Run this code
# Load Paracou data (number of trees per species in two 1-ha plot of a tropical forest)
  data(Paracou618)
  # Plot diversity estimated without bias correction
  plot(CommunityProfile(Diversity, Paracou618.MC$Ps, seq(0, 2, 0.2)), 
    lty=3, ylim=c(50, 350))
  # Estimate diversity, with a condidence envelope 
  # (only 10 simulations to save time, should be 1000)
  Profile <- CommunityProfile(Diversity, as.AbdVector(Paracou618.MC$Ns), 
              seq(0, 2, 0.2), Correction="UnveilJ", NumberOfSimulations=10)
  # Complete the plot, and add the legend
  CEnvelope(Profile, main="Paracou Plots Diversity")
  legend("topright", c("Bias Corrected", "Biased"), lty=c(1,3), inset=0.01)

Run the code above in your browser using DataLab