size_null_model: Size Ratio
In EcoSimR: Null Model Analysis for Ecological Data

Create a Size Ratio null model

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size_null_model(speciesData, algo = "size_uniform", metric = "var_ratio",
  nReps = 1000, saveSeed = FALSE, algoOpts = list(),
  metricOpts = list(), suppressProg = FALSE)

`speciesData`	a data vector in which each entry is the measured trait (such as body size or flowering date) for each species in the assemblage.
`algo`	the algorithm to use, must be "size_uniform", "size_uniform_user", "size_source_pool", "size_gamma".
`metric`	the metric used to caluclate the null model: choices are "min_diff", "min_ratio", "var_diff", "var_ratio"; default is "var_ratio".
`nReps`	the number of replicate null assemblages to create; default is 1000 replicates.
`saveSeed`	TRUE or FALSE. If TRUE the current seed is saved so the simulation can be repeated; default is FALSE.
`algoOpts`	a list containing all the options for the specific algorithm you want to use. Must match the algorithm given in the 'algo' argument.
`metricOpts`	a list containing all the options for the specific metric you want to use. Must match the metric given in the 'metric' argument.
`suppressProg`	TRUE or FALSE. If true, display of the progress bar in the console is suppressed; default is FALSE. This setting is useful for creating markdown documents with 'knitr'.

## Not run: 
## Run the null model
rodentMod <- size_null_model(dataRodents)
## Summary and plot info
summary(rodentMod)
plot(rodentMod,type="hist")
plot(rodentMod,type="size")

##  Uniform Size model with user inputs
rodentMod2 <- size_null_model(dataRodents,algo="size_uniform_user",
algoOpts = list(userLow = 3,userHigh=15))
summary(rodentMod2)
plot(rodentMod2,type="hist")
plot(rodentMod2,type="size")

### Source pool model

rodentMod_sp <- size_null_model(dataRodents,algo="size_source_pool",
algoOpts = list(sourcePool = runif(dim(dataRodents)[1],1,15)))

summary(rodentMod_sp)
plot(rodentMod_sp,type="hist")
plot(rodentMod_sp,type="size")


## End(Not run)