Re: [R] compare grupos dichotomus dependent variable
What does this have to do with R programming? Bert On Friday, August 7, 2015, AURORA GONZALEZ VIDAL aurora.gonzal...@um.es wrote: Hello everybody. I have a statistics question: let's say that I want to compaire answers between men and women to a yes/no question but I have so much more women than men, then, it looks like I cannot use chi squared test. Would it be correct to use U test (or ranked Wilcoxon test)?? What do you think?? The code is below, than you so much!! men-rep( 0,12 ) women - c( 0,1,0,0,0,1,0,0,0,rep( 0,114 ),1,rep( 0,199 ) ) wilcox.test( men, women ) chisq.test( men, women ) -- Aurora González Vidal Sección Apoyo Estadístico. Servicio de Apoyo a la Investigación (SAI). Vicerrectorado de Investigación. Universidad de Murcia Edif. SACE . Campus de Espinardo. 30100 Murcia @. aurora.gonzal...@um.es javascript:; T. 868 88 7315 F. 868 88 7302 www.um.es/sai www.um.es/ae [[alternative HTML version deleted]] __ R-help@r-project.org javascript:; 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. -- Bert Gunter Data is not information. Information is not knowledge. And knowledge is certainly not wisdom. -- Clifford Stoll [[alternative HTML version deleted]] __ 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.
Re: [R] compare grupos dichotomus dependent variable
Hi Aurora, Perhaps what you are seeking is a test of proportions. prop.test(c(sum(men),sum(women)),c(length(men),length(women))) 2-sample test for equality of proportions with continuity correction data: c(sum(men), sum(women)) out of c(length(men), length(women)) X-squared = 1.0378e-30, df = 1, p-value = 1 alternative hypothesis: two.sided 95 percent confidence interval: -0.02903701 0.01046116 sample estimates: prop 1 prop 2 0.0 0.009287926 Warning message: In prop.test(c(sum(men), sum(women)), c(length(men), length(women))) : Chi-squared approximation may be incorrect If the question was Have you had a baby in the past year? the answer is not too far off, but your sample is a bit small. Jim On Sat, Aug 8, 2015 at 3:09 AM, AURORA GONZALEZ VIDAL aurora.gonzal...@um.es wrote: Hello everybody. I have a statistics question: let's say that I want to compaire answers between men and women to a yes/no question but I have so much more women than men, then, it looks like I cannot use chi squared test. Would it be correct to use U test (or ranked Wilcoxon test)?? What do you think?? The code is below, than you so much!! men-rep( 0,12 ) women - c( 0,1,0,0,0,1,0,0,0,rep( 0,114 ),1,rep( 0,199 ) ) wilcox.test( men, women ) chisq.test( men, women ) -- Aurora González Vidal Sección Apoyo Estadístico. Servicio de Apoyo a la Investigación (SAI). Vicerrectorado de Investigación. Universidad de Murcia Edif. SACE . Campus de Espinardo. 30100 Murcia @. aurora.gonzal...@um.es T. 868 88 7315 F. 868 88 7302 www.um.es/sai www.um.es/ae [[alternative HTML version deleted]] __ 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. __ 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.
[R] compare grupos dichotomus dependent variable
Hello everybody. I have a statistics question: let's say that I want to compaire answers between men and women to a yes/no question but I have so much more women than men, then, it looks like I cannot use chi squared test. Would it be correct to use U test (or ranked Wilcoxon test)?? What do you think?? The code is below, than you so much!! men-rep( 0,12 ) women - c( 0,1,0,0,0,1,0,0,0,rep( 0,114 ),1,rep( 0,199 ) ) wilcox.test( men, women ) chisq.test( men, women ) -- Aurora González Vidal Sección Apoyo Estadístico. Servicio de Apoyo a la Investigación (SAI). Vicerrectorado de Investigación. Universidad de Murcia Edif. SACE . Campus de Espinardo. 30100 Murcia @. aurora.gonzal...@um.es T. 868 88 7315 F. 868 88 7302 www.um.es/sai www.um.es/ae [[alternative HTML version deleted]] __ 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.
