Thank you for the reply and suggestion, Michael!
I used dput() and this is the output I can share with you. Simply explained, I
have 3 columns namely, drug_code, freq4w_n and PFD_n. Each column has 132
values (including NA). The problem with the Wilcoxon Rank Sum test has been
described in my first email.
Please do let me know if you need any further clarification from my side!
Thanks a lot for your time!
structure(list(drug_code = c(0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0,
0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1,
1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1,
1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0), freq4w_n
= c(1, NA, NA, 0, NA, 4, NA, 10, NA, 0, 6, NA, NA, NA, NA, NA, 10, NA, 0, NA, NA, NA, NA, 0, NA, 0, NA, NA,
NA, 0, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 12, 0, NA, 1, 2, 1, 2, 2, NA, 28, 0, NA, 4, NA, 1, NA,
NA, NA, NA, NA, 0, 3, 1, NA, NA, NA, NA, 4, 28, NA, NA, 0, 2, 12, 0, NA, NA, NA, 0, NA, 0, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 3, NA, NA, NA, NA, NA, NA, 6, 1, NA, NA, NA, 0, NA, NA, NA, 0, 0, NA, 0, NA, 2, 8, 3, NA,
NA, NA, 0, NA, NA, NA, 9, NA, NA, NA, NA, NA, NA, NA, NA), PFD_n = c(27, NA, NA, 28, NA, 26, NA, 20, NA, 30,
24, NA, NA, NA, NA, NA, 18, NA, 28, NA, NA, NA, NA, 28, NA, 28, NA, NA, NA, 28, NA, 28, NA, NA, NA, NA, NA,
NA, NA, NA, 28, 28, 16, 28, NA, 27, 26, 27, 26, 26, NA, 0, 30, NA, 24, NA, 27, NA, NA, NA, NA, NA, 28, 25,
27, NA, NA, NA, NA, 26, 0, NA, NA, 28, 26, 16, 28, NA, NA, NA, 28, NA, 28, NA, NA, NA, NA, NA, NA, NA, NA,
NA, 25, NA, NA, NA, NA, NA, NA, 22, 27, NA, NA, NA, 28, NA, NA, NA, 28, 28, NA, 28, NA, 26, 20, 25, NA, NA,
NA, 30, NA, NA, NA, 19, NA, NA, NA, NA, NA, NA, NA, NA)), row.names = c(NA, -132L), class =
c("tbl_df", "tbl", "data.frame"))
Yours sincerely Bharat Rawlley On Tuesday, 19 January, 2021, 03:53:27 pm IST,
Michael Dewey <li...@dewey.myzen.co.uk> wrote:
Unfortunately your data did not come through. Try using dput() and then
pasting that into the body of your e-mail message.
On 18/01/2021 17:26, bharat rawlley via R-help wrote:
Hello,
On running the Wilcoxon Rank Sum test in R and SPSS, I am getting the following
discrepancies which I am unable to explain.
Q1 In the attached data set, I was trying to compare freq4w_n in those with
drug_code 0 vs 1. SPSS gives a P value 0.031 vs R gives a P value 0.001779.
The code I used in R is as follows -
wilcox.test(freq4w_n, drug_code, conf.int = T)
Q2 Similarly, in the same data set, when trying to compare PFD_n in those with
drug_code 0 vs 1, SPSS gives a P value 0.038 vs R gives a P value < 2.2e-16.
The code I used in R is as follows -
wilcox.test(PFD_n, drug_code, mu = 0, alternative = "two.sided", correct =
TRUE, paired = FALSE, conf.int = TRUE)
I have tried searching on Google and watching some Youtube tutorials, I cannot
find an answer, Any help will be really appreciated, Thank you!
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