Randomize a Community Data.Frame
Permutes a vegetation (or other) data.frame to establish a basis for null model tests in vegetation ecology.
rndcomm(comm,replace=FALSE,species=FALSE,plots=FALSE)
comm |
the vegetation (or other taxon) data.frame, samples as rows, species as columns |
replace |
a switch for permuting (if FALSE) or boostrapping (if TRUE) |
species |
a switch to control randomizing by species (if TRUE), maintaining species occurrence distributions |
plots |
a switch to control randomizing by samples (if TRUE), maintaining plot-level species richness |
a data.frame with samples as rows and species as columns of the same dimensions as entered.
Randomizing vegetation often leads to unrealistic data distributions,
but this function attempts to preserve either species occurrence distributions
or plot-level species richness. It is probably worth examining the output
of this function with abuocc to see its characteristics
before engaging in extensive analysis.
data(bryceveg) # returns a vegetation data.frame called bryceveg
test <- rndcomm(bryceveg,species=TRUE) # preserves species abundance
# distribution
test2 <- rndcomm(bryceveg,plots=TRUE) # preserves plot-level
# species richnessPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.