compute_all_metrics {neutroSurvey} | R Documentation |
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")