[R] Performing a non parametric Friedman Test

[Daniel Malter]

There is a friedman.test() function. Any reason you want to do it by hand?

If so, you can do:

#Simulated data matrix
x<-matrix(rnorm(9),3,3,byrow=T)
x

#Rank matrix
r<-matrix(rank(x),dim(x))

HTH,
Daniel



JohnnyJames wrote:
> 
> My data looks like this:
>                               (treatments)
>                  T1             T2            T3
> DK              8               5               3 
> 
> JP              5                4              1
> 
> AS             9                7             4
> 
> MK             8                4              4
> 
> DK, JP, AS, and MK are 4 different people (blocks) I am using.
> 
> This is my code so far:
> 
>> treat<-c("J","J","J","J","U","U","U","U","H","H", "H", "H")
> 
>> y<-c(8,5,3,5,4,1,9,7,4,8,4,4)
> 
>> block<-c("DK","JP","AS","MK","DK","JP","AS","MK","DK","JP","AS","MK")
> 
>> ranks<-matrix(NA,nrow=4,ncol=3)
> 
>> for (i in 1:4) ranks[i,]<-??????????????????
> 
> I know that once I can get the ranks stored I can do a command like below.
> 
>> summary(aov(as.vector(ranks)~factor(treat)+factor(block)))
> 
> Can someone help me store the data as ranks?
> 


--
View this message in context: http://r.789695.n4.nabble.com/Performing-a-non-parametric-Friedman-Test-tp3939045p3939430.html
Sent from the R help mailing list archive at Nabble.com.