bootstrapOneIteration: Run one bootstrap iteration of biotic stations and acoustic...
In Sea2Data/Rstox: Running Stox functionality independently in R

This function is used in bootstrapParallel().

bootstrapOneIteration(i, projectName, assignments, strataNames,
  psuNASC = NULL, stratumNASC = NULL, resampledNASC = NULL,
  startProcess = "TotalLengthDist", endProcess = "SuperIndAbundance",
  seedV = NULL, sorted = TRUE, JavaMem = getRstoxDef("JavaMem"), ...)

`i`	The boostrap iteration number.
`projectName`	The name or full path of the project, a baseline object (as returned from `getBaseline` or `runBaseline`, og a project object (as returned from `openProject`).
`assignments`	Trawl assignment from baseline.
`strataNames`	The strata names of the survey.
`psuNASC`	MeanNASC from baseline.
`stratumNASC`	Strata NASC estimates from getNASCDistr(baseline).
`resampledNASC`	Resampled NASC distribution.
`startProcess`	The start process of the bootstrapping, being the first process before which biostations has been assigned and NASC values have been calculated.
`endProcess`	The end process of the bootstrapping, being the process returning a matrix containing the following columns: "Stratum", "Abundance", "weight", and grouping variables such as "age", "SpecCat", "sex".
`seedV`	A vector of seeds. seedV[i] is used.
`sorted`	Should the data be sorted prior to sampling?
`JavaMem`	The memory occupied by the Java virtual machine. Default is returned by getRstoxDef("JavaMem"). Reducing this may be usefull when using mutiple cores.