lrs_general_function: Lexicographic Response Style Function

In Rupanjan22/biasdetection: Bias Detection for Stated Preference Experiments

Description

This function detects the responses employing lexicographic response styles, where the respondents choose the option for stated preference scenarios based on the best attribute level.

Usage

lrs_general_function(
  csv_file,
  total_scenarios,
  num_blocks,
  scenarios,
  alternatives,
  attribute,
  attribute_short
)

Arguments

csv_file	The file we want to process
total_scenarios	A list containing all the Stated Preference scenarios
num_blocks	The amount of blocks on which the scenarios will be distributed
scenarios	A list containing the relevant Stated Preference scenarios for the specific attribute of Lexicographic Response Styles
alternatives	A list containing the alternatives for the Stated Preference experiment
attribute	The attribute chosen for Lexicographic Response Styles
attribute_short	The short form of the attribute name (for table names) lrs_general_function()

Examples

## Not run: 
lrs_general_function(file.csv, list(list("S1", "S2"),
                                    list("S3", "S4"),
                                    list("S5", "S6"),
                                    list("S7", "S8")),
                                    4,
                                    list(list("S1"),
                                         list("S4"),
                                         list("S6"),
                                         list("S7")),
                                         "Cheapest_Cost",
                                         "CC")
lrs_general_function(file.csv, list(list("S1", "S2", "S3", "S4"),
                                    list("S5", "S6", "S7", "S8")),
                                    2,
                                    list(list("S1", "S3"),
                                         list("S7", "S8")),
                                         "Fastest_Travel_Time",
                                         "FTT")

## End(Not run)

Rupanjan22/biasdetection documentation built on April 14, 2021, 10:46 a.m.