simulate.MM | R Documentation |
shell script for creating the simulation
## S3 method for class 'MM' simulate(reps, commonN, groupN, singleN, D, V, method, Spike = T, Interact = T)
reps |
number of replicate communities |
commonN |
number of common species |
groupN |
number of unique taxa to groups |
singleN |
number of unique taxa to samples |
D |
average sampling depth |
V |
variation in sampling depth |
method |
list of function names to be used in analysis |
Spike |
whether or not to use the spike in functions. If spike==T, then any normalization function that does not include using the spike in, should filter the spikein before doing other normalization steps. |
interact |
whether or not have taxa interact |
test.script<-benchmark.MM(reps=3, commonN=20, groupN=10, singleN=10, D=2000, V=1000) benchmark.MM()
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