package stats / prop.trend.test function
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
On 12 Nov 2025, at 11.55, Michael Dewey <lists at dewey.myzen.co.uk> wrote:
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:
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
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-- Michael Dewey
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com