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Create factor variable from quantiles

Source: R/create_variables.R
set_quants.Rd

Create a factor variable from numeric data. Numeric variable is split into categories based on quantile categories.

Usage

set_quants(
  dat,
  project,
  x,
  quant.cat = c(0.1, 0.2, 0.25, 0.33, 0.4),
  custom.quant = NULL,
  name = "set_quants"
)

Arguments

dat

Primary data containing information on hauls or trips. Table in FishSET database contains the string 'MainDataTable'.

project

Project name.

x

Variable to transform into quantiles.

quant.cat

Quantile options: "0.2", "0.25", "0.33", and "0.4"

  • 0.1: (0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%)

  • 0.2: (0%, 20%, 40%, 60%, 80%, 100%)

  • 0.25: (0%, 25%, 50%, 75%, 100%)

  • 0.33: (0%, 33%, 66%, 100%)

  • 0.4: (0%, 10%, 50%, 90%, 100%)

custom.quant

Vector, user defined quantiles.

name

String, name of created vector. Defaults to name of the function if not defined.

Value

Primary dataset with quantile variable added.

Examples

if (FALSE) {
pollockMainDataTable <- set_quants(pollockMainDataTable, 'pollock', 'HAUL', 
   quant.cat=.2, 'haul.quant')
}