sampled_rums_clust: Format RUM data base on resampled tows Function calls mlogit
In peterkuriyama/ch4:

Format RUM data base on resampled tows Function calls mlogit

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sampled_rums_clust(data_in = filt_clusts, the_port = "ASTORIA / WARRENTON",
  min_year = 2011, max_year = 2012, risk_coefficient = 1, ndays = 60,
  focus_year = 2012, nhauls_sampled = 50, seed = 300, ncores)

`data_in`	Data going in to the function; default is filt_clusts
`the_port`	Port of focus; Default is Astoria
`min_year`	Minimum year used to filter the data
`max_year`	Maximum year used to filter the data, also RUM data is filtered to be from the max_year
`risk_coefficient`	Coefficient to adjust the quota prices up or down, feeding into net revenue calculations
`ndays`	Number of previous days data to use in revenue expectations
`focus_year`	Year to focus on for the models
`nhauls_sampled`	Number of hauls to sample from the full data set
`seed`	Seed for sampling tows
`trip_dists`	Distances covered by each trip