Colleagues ?Consider smokers? <- c( 83, 90, 129, 70 ) patients <- c( 86, 93, 136, 82 ) ?prop.trend.test(smokers, patients) ?Output: ???? Chi-squared Test for Trend inProportions ?data:??smokers out of patients , using scores: 1 2 3 4 X-squared = 8.2249, df = 1, p-value = 0.004132 ?# trend test for proportions indicates proportions aretrending. ?How does one identify the direction of trending? ?# prop.test indicates that the proportions are unequal but doeslittle to indicate trend direction. All the best, Thomas Subia [[alternative HTML version deleted]]
Dear Thomas Are you looking for more than smokers / patients Michael On 07/09/2023 14:23, Thomas Subia via R-help wrote:> > Colleagues > > ?Consider > smokers? <- c( 83, 90, 129, 70 ) > patients <- c( 86, 93, 136, 82 ) > > ?prop.trend.test(smokers, patients) > > ?Output: > > ???? Chi-squared Test for Trend inProportions > > ?data:??smokers out of patients , > > using scores: 1 2 3 4 > > X-squared = 8.2249, df = 1, p-value = 0.004132 > > ?# trend test for proportions indicates proportions aretrending. > > ?How does one identify the direction of trending? > ?# prop.test indicates that the proportions are unequal but doeslittle to indicate trend direction. > All the best, > Thomas Subia > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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 http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- Michael http://www.dewey.myzen.co.uk/home.html
?s 14:23 de 07/09/2023, Thomas Subia via R-help escreveu:> > Colleagues > > ?Consider > smokers? <- c( 83, 90, 129, 70 ) > patients <- c( 86, 93, 136, 82 ) > > ?prop.trend.test(smokers, patients) > > ?Output: > > ???? Chi-squared Test for Trend inProportions > > ?data:??smokers out of patients , > > using scores: 1 2 3 4 > > X-squared = 8.2249, df = 1, p-value = 0.004132 > > ?# trend test for proportions indicates proportions aretrending. > > ?How does one identify the direction of trending? > ?# prop.test indicates that the proportions are unequal but doeslittle to indicate trend direction. > All the best, > Thomas Subia > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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 http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.Hello, By visual inspection it seems that there is a decreasing trend. Note that the sample estimates of prop.test and smokers/patients are equal. smokers <- c( 83, 90, 129, 70 ) patients <- c( 86, 93, 136, 82 ) prop.test(smokers, patients)$estimate #> prop 1 prop 2 prop 3 prop 4 #> 0.9651163 0.9677419 0.9485294 0.8536585 smokers/patients #> [1] 0.9651163 0.9677419 0.9485294 0.8536585 plot(smokers/patients, type = "b") Hope this helps, Rui Barradas