helper_table_split: Helper function to split data for parallel processing

In UPGo-McGill/strr: Tools for Analysis of Short-Term Rental Data

Helper function to split data for parallel processing

Description

helper_table_split takes a split table and combines it into an optimal number of elements for parallel processing.

Usage

helper_table_split(data_list, multiplier = 10, type = ".list")

Arguments

data_list	A list of data elements to be resized
multiplier	An integer scalar. What multiple of the number of available processes should the data be combined into?
type	A character scalar, either ".list" if the input is a list of data frames or, if the input is a single data frame, the name of a variable containing nested data frames.

Value

A list of data elements.

UPGo-McGill/strr documentation built on Feb. 24, 2024, 6:15 p.m.