| 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
 [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)