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neutrostat (version 0.0.2)

citytemp: Temperature Data of Five Different Cites in Pakistan for July 2022

Description

This dataset provides low and high recordings of daily temperature for five different citites (Gujranwala,Lahore,Islambad, Karachi and Sialkot ) of Pakistan for the specifed priod July 2022

Usage

data("citytemp")

Arguments

Format

A data frame with 28 observations on the following 12 variables.

Day

a character vector

Date

a numeric vector

Gujranwala_Low

a numeric vector

Gujranwala_High

a numeric vector

Lahore_Low

a numeric vector

Lahore_High

a numeric vector

Karachi_Low

a numeric vector

Karachi_High

a numeric vector

Islamabad_Low

a numeric vector

Islamabad_High

a numeric vector

Sialkot_Low

a numeric vector

Sialkot_High

a numeric vector

Details

The data was collected for each city over 31 days in July 2022. It includes both the lower and upper temperature values, and can be analyzed using neutrosophic statistical approach.

References

Ishmal Shahzadi (2023): Neutrosophic Statistical Analysis of Temperature of Different Cities of Pakistan. Neutrosophic Sets and Systems, 53(1). doi:10.5281/zenodo.7535991

Examples

Run this code
# list of temperature data for Gujranwala city
G <- mapply(function(low, high) list(c(low, high)),
                                       citytemp$Gujranwala_Low,
                                       citytemp$Gujranwala_High)
# Neutrosophic mean and standard deviation of temperature data for Gujranwala city
nmean(G)
nstd(G)

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