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CADDIS Volume 4: Data Analysis

Predicting Environmental Conditions from Biological Observations (PECBO) Appendix

Environmental Limits: R Script

We can use a for loop similar to that used for weighted averages to compute environmental limits (Equation 2) for different taxa. In this method, you must select a value of the cumulative percentile that you wish to use for computing the environmental limit. In the script below, the cutoff value is selected to be 0.75.

First make sure that you have loaded the sample biological and environmental data and merged them into a single data frame called dfmerge.

Also make sure that you have selected the taxa for which you wish to calculate environmental limits and saved them in the vector taxa.names (information on defining taxa.names).

# Define a storage vector for the cumulative percentile
CP <- rep(NA, times = length(taxa.names))

# Sort sites by the value of the environmental variable
dftemp <- dfmerge[order(dfmerge$temp), ]

# Select a cutoff percentile
cutoff <- 0.75

# Specify three plots per page
par(mfrow = c(1,3), pty = "s")
for (i in 1:length(taxa.names)) {
  # Compute cumulative sum of abundances
  csum <- cumsum(dftemp[, taxa.names[i]])/

  # Make plots like Figure 4
  plot(dftemp$temp, csum, type = "l", xlab = "Temperature",
       ylab = "Proportion of total", main = taxa.names[i])

  # Search for point at which cumulative sum is 0.75
  ic <- 1
  while (csum[ic] < 0.75) ic <- ic + 1

  # Save the temperature that corresponds to this percentile.
  CP[i] <- dftemp$temp[ic]

names(CP) <- taxa.names

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