remove_duplicates: Remove duplicates

In Rupanjan22/biasdetection: Bias Detection for Stated Preference Experiments

Description

Removes the duplicate entries from the panel data based on the id of the respondent to detect random responses. Usually, the panel data contains different rows for the same respondent which contains the responses to different choice situations (stated preference scenarios). The stated preference scenarios which are generated from the experimental design such as Factorial design, Fractional factorial design are usually grouped into different blocks which are then presented to the respondents. So, each respondent gets to answer each block which contains the different stated preference scenarios. This function removes the duplicate entries (different rows for different stated preference scenarios) based on id for each respondent and returns the dataframe rr_data containing only one row for each respondent. This rr_data is used in detecting random responding.

Usage

remove_duplicates(csv_data)

Arguments

csv_data

A list containing panel data of all responses

Value

A list containing unique responses (based on id) from the original panel data. The original panel data contains different rows having the different choice scenarios for each respondent.

remove_duplicates()

Examples

## Not run: 
remove_duplicates(csv_data)

## End(Not run)

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