| Title: | Two Way Neutrosophic ANOVA |
| Version: | 0.0.1 |
| Description: | Dealing with neutrosophic data of the form N=D+I(where N is a Neutrosophic number ,D is the determinant part of the number and I is the indeterminacy part) using the neutrosophic two way anova test keeps the type I error low. This algorithm calculates the fisher statistics when we have a neutrosophic data, also tests two hypothesizes, first is to test differences between treatments, and second is to test differences between sectors. For more information see Miari, Mahmoud; Anan, Mohamad Taher; Zeina, Mohamed Bisher(2022) https://www.americaspg.com/articleinfo/21/show/1058. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.1 |
| NeedsCompilation: | no |
| Packaged: | 2024-04-10 13:06:59 UTC; HP |
| Author: | Mohamad Taher Anan
 [aut, cre],
Mohamad Bisher Zeina [aut],
Shaza Zubeadah [aut],
Mahmoud Miari [aut] |
| Maintainer: | Mohamad Taher Anan <mtanan200988@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2024-04-10 17:00:02 UTC |
Neutrosophic Two Way ANOVA
Description
Neutrosophic Two Way ANOVA
Usage
ntaov(dt)
Arguments
dt |
is a data frame |
Value
Neutrosophic ANOVA Table
Examples
y=c(4,5,3,9,11,8,15,12,14)
y1=c(6,7,5,11,14,10,17,13,16)
tr=c(1,1,1,2,2,2,3,3,3)
cek=c(1,2,3,1,2,3,1,2,3)
dt=data.frame(y,y1,tr,cek)
ntaov(dt)