On 3/12/19 9:23 AM, Thomas Subia via R-help wrote:
Javid wrote:
"I have two set of data in excel:
A column( 16.38, -31, -16.77, 127, -57, 23.44 and so on)
B column ( -12, -59.23, -44, 34.23, 55.5, -12.12 and so on)
If those are in an excel spreadsheet than you need to indicate exactly
how they became `mydata`. And then you need to read the help page. The
Usage section indicates that there are two forms. The first which you
are in effect choosing has the first two arguments as data objects. The
second version which appear to desire has a formula object as it first
argument. Try:
This would be a way to use the first form:
with( mydata, wilcox.test(A, B, paired = FALSE))
And this would succeed for the second form under the assumption that it
is a dataframe with only two columns of numeric data:
wilcox.test(values~ ind, data=stack(mydata), paired = FALSE)
Please read the Posting guide and in the future post in plain text.
David
I run the wilcox test as :
wilcox.test(A , B, data = mydata, paired = FALSE)
I got always the p value very high, like 0.60
Even I make changes in the data, it gives me 0.7, 0.4 etc which is too high
than 0.05 and can not thus reject the null hypothesis.
What could be the problem as I know there is difference in the data?"
How did you conclude there is a difference in the data? 2-sample t-test?Some
details and a data set would be helpful for someone to investigate this further.
Thomas SubiaStatisticianIMG Precision
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
