A google-search of the term brings up as its first hit a link to a page
on the rdocumentation.org website that indicates that theTrialSize
package(version1.4)
<https://www.rdocumentation.org/packages/TrialSize/versions/1.4> has a
function named "TwoSampleProportion.NIS".
If you executed these commands in an R console:
install.packages("TrialSize")
packageDescription("TrialSize")
library(TrialSize)
?TwoSampleProportion.NIS
.... you would probably see a help page that has almost the same content
as the page at rdocumentation.org
(A "two sample z-test", at least as I understand such a label, is not
necessarily a test for non-inferiority. That page doesn't actually
describe the results of a calculation using the
"TwoSampleProportion.NIS" function but if you go to the code you find
it's not doing a test of any sort but rather doing an oversimplified
sample size calculation.)
You appear to not understand that R is a system of packages that are
optionally installed and loaded into the core programming environment. I
would advise that you do some self-learning about how to use R (or) that
you contract with a person who can provide the skills need to both
educate you about the statistical issues in trial design and run your
analyses for you.
You should also read the fine Posting Guide:
http://www.R-project.org/posting-guide.html
--
David.
On 6/6/21 1:29 AM, Lee Simon wrote:
Dear Sir/Madam,
May I seek for your kind help for the use of R software for conducting
two-proportional z-test which is test for non-inferiority? I have found one
saying using function (TwoSampleProportion.NIS(alpha, beta, p1, p2, k,
delta, margin) but the software said there is not such function. Thank you
very much for your kind help.
With kindest regards,
Simon
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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
