Difference between revisions of "Diversity index"

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(Answer)
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}
 
}
 
diversity <- function(species = 1:length(amount), amount = rep(1,length(species))){
 
diversity <- function(species = 1:length(amount), amount = rep(1,length(species))){
print(species)
 
print(amount)
 
 
     pi <- tapply(amount, species, sum)
 
     pi <- tapply(amount, species, sum)
 
     pi <- pi/sum(pi)
 
     pi <- pi/sum(pi)
Line 41: Line 39:
 
if(is.null(data)) {data <- c(1,4,6,9,3,4,5,6,5,4,3,3,5,5,7,5,5,4,3,4,5,6,8,9,5,4,5,4,3,3,4,9,6,6,4,5,3,2,1,1,2,3,4,3,2,3,4,5,6,7,7)}
 
if(is.null(data)) {data <- c(1,4,6,9,3,4,5,6,5,4,3,3,5,5,7,5,5,4,3,4,5,6,8,9,5,4,5,4,3,3,4,9,6,6,4,5,3,2,1,1,2,3,4,3,2,3,4,5,6,7,7)}
 
data
 
data
species <- NA
+
if(individual==TRUE) out <- diversity(species = data) else out <- diversity(amount = data)
amount <- NA
 
if(individual==TRUE) species <- data else amount <- data
 
out <- diversity(species, amount)
 
 
print(xtable(out), type = 'html')
 
print(xtable(out), type = 'html')
 
</rcode>
 
</rcode>

Revision as of 17:57, 7 January 2012



Question

How to calculate diversity indices?

Answer

Upload your data to Opasnet Base. Use the function diversity to calculate the most common indices.

Actual function diversity

+ Show code

Example to use function

Give your data in R format or leave empty for example data:

Is your data individual data or group abundancies?:

+ Show code

The data should be given in R format as a list of values in parenthesis, beginning with c:

c(3,5,3,5,2,1,3,3,4,2) or equivalently c(0.1,0.2,0.4,0.1,0.2)

where the values are either

  • identifiers of the species 1,2,3... in which the individuals belong (one entry per individual), or
  • abundancies of species, i.e. proportions of individuals belonging to each species among the whole population (one entry per species).

Rationale

Diversity indices are thoroughly described in Wikipedia.

See also

References


Related files

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