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package stats / prop.trend.test function

5 messages · Michael Dewey, Peter Dalgaard, Paulo Barata

#
To the R-Help list,

About the prop.trend.test function, in the package stats.

What calculations exactly does that function perform? What test is actually carried out? May I have some reference for the calculations performed by that function?

I would like to suggest that some references (one or more) be included in the Help file for the function.

Thank you very much.

Paulo Barata

Rio de Janeiro - Brazil
#
Dear Paulo

You did realise that if you type prop.trend.test you get

function (x, n, score = seq_along(x))
{
     method <- "Chi-squared Test for Trend in Proportions"
     dname <- paste(deparse1(substitute(x)), "out of", 
deparse1(substitute(n)),
         ",\n using scores:", paste(score, collapse = " "))
     x <- as.vector(x)
     n <- as.vector(n)
     p <- sum(x)/sum(n)
     w <- n/p/(1 - p)
     a <- anova(lm(freq ~ score, data = list(freq = x/n, score = 
as.vector(score)),
         weights = w))
     chisq <- c(`X-squared` = a["score", "Sum Sq"])
     structure(list(statistic = chisq, parameter = c(df = 1),
         p.value = pchisq(as.numeric(chisq), 1, lower.tail = FALSE),
         method = method, data.name = dname), class = "htest")
}
<bytecode: 0x0000021d81d4c850>
<environment: namespace:stats>

Does that help?

Michael
On 11/11/2025 18:27, Paulo Barata wrote:

  
    
#
There's a worked example of the procedure in Altman: Practical Statistics for Medical Research, also featured in help(ISwR::caesarean). 

(I have forgotten the origin of example(prop.trend.test), though. If I ever knew it. Apparently it is the same as in help(prop.test): Fleiss(1981), p.139, but I don't have that edition to hand and I don't see it in Fleiss(1973).)

-pd

  
    
#
Dear Michael,

Yes, I forgot about that, just typing the function's name. My fault, I am sorry.

Thank you very much for your reply.

Best regards,

Paulo

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On 12-Nov-25 7:55, Michael Dewey wrote:
#
Professor Dalgaard,

Thank you for your reply. My question: shouldn't every statistical function in R, every statistical procedure, have some reference in the respective Help file?

Basic functions like sqrt, log, sort, sample, these are part of the base system in R, they generally have a clear purpose, a clear calculation to perform, and they are supposed to work well, no matter the exact details of their mathematical methods.

But higher level statistical functions, like prop.trend.test, or glm, they each perform some calculations according to a given method, but the method could possibly be somewhat different from the one implemented, with possible variations in the results.

Shouldn't the methods of statistical functions be always documented in the Help files, with references? Why there is just no information about the method of prop.trend.test?

Thank you once again for your attention.

Paulo Barata

Rio de Janeiro - Brazil

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On 12-Nov-25 9:49, Peter Dalgaard wrote: