Good afternoon,
I have a trouble with the output obtained from a correlation test performed, using Spearman's correlation coefficient, with R Software.
The output obtained is the follow:
cor.test(HCC, HS, method=c("spearman"))
Spearman's rank correlation rho
data: HCC and HS
S = 1461.8, p-value = 0.8271
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.05074825
Warning message:
In cor.test.default(HCC, HS, method = c("spearman")) :
Cannot compute exact p-value with ties
The problem is related to the warning message in which is specified that it is impossible to compute the exact p-value. Is there a further command which I can add to the correlation test's script in order to solve it? I tried with the Bonferroni's correction but it does't work.
Many thanks to that/those one who will reply.
Dear Dr. Rodrigo,
Thanks for your answer. Excuse me but I didn't understand. The p-value should be less than 0.05 if the correlation between the two variables resulted as significant. In this case, it is not so the resulted p-value is correct. The problem is that the warning specifies which the exact p-value cannot be computed, that is that the real value may be, for instance, 0.80 or 0.84 compared to 0.82 obtained from such test. Is there a particulat script in R which I can use to solve this problem?
Many thanks
This page can help you:
Spearman correlation and tie
https://stackoverflow.com/questions/10711395/spearman-correlation-and-ties
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