Finding the p-value for a Wilcoxon Signed-Rank Test Difference of Paired Samples in R

Question

So, I am making my own Wilcoxon Signed-Rank Test function in R and am currently working finding the p-value. I have worked through how to find the test statistic and I was just wondering if there was an easy function that could find the p-value. Any help would be greatly appreciated.

No code in this question. Improve it or expect closure. – IRTFM Feb 04 '18 at 21:15 — IRTFM, Feb 04 '18 at 21:15

score 0 · Answer 1 · answered Feb 04 '18 at 19:31

Without a reproducible example, I would use an index like $p.value after the function. For instance the p.value for chi-square test can be obtained using chisq.test(x_value,y_value)$p.value.

Many statistical tests return list objects with each statistic of interests held within.

If you save the object you can then use str() to look at what's inside and call it that way.

Here's an example

mydata <- data.frame(x = sample(1:5,20,T), # some fake data
            y = sample(1:3,20,T))
 wilcox.test(mydata$x,mydata$y) # returns the results

wilcox.test(mydata$x,mydata$y)$p.value # returns the p_value

Did you check the setting of paired? – IRTFM Feb 04 '18 at 21:13 — IRTFM, Feb 04 '18 at 21:13

Finding the p-value for a Wilcoxon Signed-Rank Test Difference of Paired Samples in R

1 Answers1