Hello, everyone. Sorry if this is an elementary question, but I've been trying to get this to work for almost an hour and a half without success. I know there's probably a premade function to do this out there somewhere, but I'm writing this one myself as a self-imposed challenge, since my school offers little formal training in R.

I have a n=16 dataset defined as "x", with null hypothesis median m=160. I want to write a function that will generate a vector of Wilcoxon signed ranks for each value of the dataset given the arguments "x" and "m". I tried first without using a function, and it turned out fine:

```
>xraw<-c(176.9,158.3,152.1,158.8,172.4,169.8,159.7,162.7,156.6,174.5,184.4,165.2,147.8,177.8,160.1,160.5)
> x<-sort(xraw)
> demedx<-x-160
> avdmx<-abs(demedx)
> r<-rank(avdmx)
> w<-replicate(16,0)
> for(i in 1:16){
+ if (demedx[i]>0){w[i]<-r[i]}
+ else {w[i]<-(-r[i])}
+ }
> print(w)
[1] -11 -9 -7 -5 -4 -2 1 3 6 8 10 12 13 14 15
[16] 16
>
```

When I tried to write a function to automate the process, however, it only returned the first Wilcoxon signed rank. The others were zeroes:

```
> xraw<-c(176.9,158.3,152.1,158.8,172.4,169.8,159.7,162.7,156.6,174.5,184.4,165.2,147.8,177.8,160.1,160.5)
> x<-sort(xraw)
> Wilcoxon_sr <- function(x,m){
+ demedx<-(x-m)
+ avdmx<-abs(demedx)
+ r<-rank(avdmx)
+ w<-replicate(NROW(x),0)
+ for(i in 1:NROW(x)){
+ if (demedx[i]>0){
+ w<-replace(w,i,r[i])}
+ else {w<-replace(w,i,-r[i])}
+ return(w)
+ print(w)
+ }
+ }
>
> Wilcoxon_sr(x,160)
[1] -11 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[16] 0
```

Does anyone have an idea where I might have gone wrong?