The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Title: Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney Tests
Version: 0.0.1
Description: Dealing with neutrosophic data in single valued form using score, accuracy and certainty functions to calculate ranks of Single Valued Neutrosophic Set (SVNS), also to calculate the Mann-Whitney test, and making a post-hoc test after rejecting the null hypothesis using the Neutrosophic Statistics Kruskal-Wallis test. For more information see Miari, Mahmoud; Anan, Mohamad Taher; Zeina, Mohamed Bisher(2022) https://digitalrepository.unm.edu/nss_journal/vol51/iss1/60/.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-04-07 10:23:41 UTC; HP
Author: Mohamad Taher Anan ORCID iD [aut, cre], Mohamad Bisher Zeina [aut], Aya Khantomani [aut], Mahmoud Miari [aut]
Maintainer: Mohamad Taher Anan <mtanan200988@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-08 15:20:02 UTC

This function to calculate the kruskal test(with neutrosophic data)

Description

This function to calculate the kruskal test(with neutrosophic data)

Usage

fanan(dt)

Arguments

dt

ia a data frame

Value

kruskal test

Examples

fac=c(rep("1",6),rep("2",6),rep("3",4))
t=c(0.4,0.42,0.04,0.46,0.08,0.33,0.13,0.003,0.0095,0.44,0.003,0.62,0.15,0.498,0.36,0.464)
i=c(0.06,0.071,0.5,0.14,0.03,0.30,0.45,0.074,0.17,0.28,0.48,0.072,0.62,0.148,0.831,0.761)
f=c(0.46,0.37,0.21,0.31,0.171,0.21,0.39,0.083,0.41,0.42,0.31,0.18,0.29,0.748,0.625,0.551)
dt=data.frame(t,i,f,fac)
fanan(dt)

SORTING DATA

Description

SORTING DATA

Usage

s_sort(y1, y2, ac, ce, rw)

Arguments

y1

is a score variable

y2

is a string variable but in numeric elements

ac

is an accuracy variable

ce

is a certainty variable

rw

rw is a number of rows in dt

Value

sorting Data

Examples

fac=c(rep("1",6),rep("2",6),rep("3",4))
t=c(0.4,0.42,0.04,0.46,0.08,0.33,0.13,0.003,0.0095,0.44,0.003,0.62,0.15,0.498,0.36,0.464)
i=c(0.06,0.071,0.5,0.14,0.03,0.30,0.45,0.074,0.17,0.28,0.48,0.072,0.62,0.148,0.831,0.761)
f=c(0.46,0.37,0.21,0.31,0.171,0.21,0.39,0.083,0.41,0.42,0.31,0.18,0.29,0.748,0.625,0.551)
dt=data.frame(t,i,f,fac)
sc=(2+dt[,1]-dt[,2]-dt[,3])/3
ac=dt[,1]-dt[,3]
ce=dt[,1]
y1=sc
y1=round(y1,2)
y2=as.character(dt[,4])
rw=nrow(dt)
ff=s_sort(y1,y2,ac,ce,rw)
ff=s_sort(ac,y2,y1,ce,rw)
ff=s_sort(ce,y2,ac,y1,rw)
ff=s_sort(y1,y2,ac,ce,rw)
y1=ff$y1
y2=ff$y2
ac=ff$ac
ce=ff$ce
ff=data.frame(y1,y2,ac,ce)
print(ff)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.