tool_process: Code for sampling tool in Alteryx
In alteryx/AlteryxSim: R package for Alteryx simulation tools

Code for sampling tool in Alteryx

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tool_process(method, chunkSize, seed, count, distribution, params, bounds,
  process, possible, type, id, value, name, roulette, dataName, sampleSource,
  replace, totalSize)

`method`	sampling method used: "MC" for Monte Carlo or "LH" for Latin Hypercube
`chunkSize`	int > 0 - maximal number of records to be processed at time
`seed`	seed to intialize tool with
`count`	number of samples to draw
`distribution`	valid distribution name
`params`	parameter list for distribution
`bounds`	vector - first element is lower bound, second is upper. Closed intervals only
`process`	sampling method for data - "entire" to sample records, "each" to sample from columns independently, "best" to fit then sample
`possible`	vector of distribution options to be fit to data
`type`	whether data is "binned", comes from "roulette" widget, or is standard
`id`	name of id field for binned data
`value`	name of value field for binned data
`name`	name of output vector for roulette or binned data or parametric input
`roulette`	json string for roulette data
`dataName`	incomming data if process = "data"
`sampleSource`	sample source
`replace`	whether or not to sample with replacement
`totalSize`	total size