compute_all_metrics: Compute Neutrosophic Interval Metrics

In neutroSurvey: Neutrosophic Survey Data Analysis

Compute Neutrosophic Interval Metrics

Description

Calculates various metrics for neutrosophic interval data including means, standard deviations, CVs, kurtosis, and correlations between interval-valued variables.

Usage

compute_all_metrics(data)

Arguments

data	A data frame containing columns 'Auxili_min', 'Auxili_max', 'Study_min', and 'Study_max'

Value

A list containing all calculated metrics with components:

• mean_interval_X - Mean interval for auxiliary variable (min, max)

• subtracted_intervals_X - Data frame of subtracted intervals for auxiliary

• sd_interval_X - Standard deviations for auxiliary (min, max)

• cv_interval_X - Coefficients of variation for auxiliary (min, max)

• kurtosis_interval_X - Kurtosis values for auxiliary (min, max)

• mean_interval_Y - Mean interval for study variable (min, max)

• subtracted_intervals_Y - Data frame of subtracted intervals for study

• sd_interval_Y - Standard deviations for study (min, max)

• cv_interval_Y - Coefficients of variation for study (min, max)

• correlation_results - Correlation between intervals (rho_L, rho_U)

Author(s)

Neha Purwar, Kaustav Aditya, Pankaj Das and Bharti

Examples

data(japan_neutro)
metrics <- compute_all_metrics(japan_neutro)

# View mean intervals
cat("Auxiliary Mean Interval:", metrics$mean_interval_X, "\n")
cat("Study Mean Interval:", metrics$mean_interval_Y, "\n")

# View correlation results
cat("Correlation between intervals (rho_L, rho_U):",
    metrics$correlation_results, "\n")

neutroSurvey documentation built on June 23, 2025, 5:08 p.m.