Thank you for your time, Professor John! Much appreciated!
Yours sincerely Bharat Rawlley
Sent from Yahoo Mail on Android
On Thu, 21 Jan 2021 at 4:40 AM, John Fox wrote: Dear
Bharat Rawlley,
On 2021-01-20 1:45 p.m., bharat rawlley via R-help wrote:
> Dear Professor John,
> Thank you
Dear Bharat Rawlley,
On 2021-01-20 1:45 p.m., bharat rawlley via R-help wrote:
Dear Professor John,
Thank you very much for your reply!
I agree with you that the non-parametric tests I mentioned in my previous email
(Moods median test and Median test) do not make sense in this situation as
Dear Professor John,
Thank you very much for your reply!
I agree with you that the non-parametric tests I mentioned in my previous email
(Moods median test and Median test) do not make sense in this situation as they
treat PFD_n and drug_code as different groups. As you correctly said, I want
Dear Bharat Rawlley,
What you tried to do appears to be nonsense. That is, you're treating
PFD_n and drug_code as if they were scores for two different groups.
I assume that what you really want to do is to treat PFD_n as a vector
of scores and drug_code as defining two groups. If that's
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
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
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
7 matches
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