Hi You have only single value for each participant in each gruppo and AFAIK you can not do statistic on single value.
You can check differences among participants fit<-lm(valor~participantes, data=df2) > fit<-lm(valor~participantes, data=df2) > anova(fit) Analysis of Variance Table Response: valor Df Sum Sq Mean Sq F value Pr(>F) participantes 7 5.167 0.7381 0.3163 0.9358 Residuals 16 37.333 2.3333 and in groups > fit<-lm(valor~grupo, data=df2) > anova(fit) Analysis of Variance Table Response: valor Df Sum Sq Mean Sq F value Pr(>F) grupo 2 22.75 11.3750 12.095 0.0003202 *** Residuals 21 19.75 0.9405 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > Regards Petr > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Ma Teresa Martinez Soriano > Sent: Wednesday, December 18, 2013 4:17 PM > To: r-help@r-project.org > Subject: [R] ANOVA repeated mesures > > Hi to everyone, I am tring to make a Anova with repeated measures,my > data set looks like: > participantes <- c("1", "2", "3", "4", "5", "6", "7", "8", "1", "2", > "3", "4", "5", "6", "7", "8", "1", "2", "3", "4", "5", "6", "7", "8") > grupo <- factor(c(rep("A", 8), rep("B", 8), rep("C", 8)))valor <- c(1, > 2, 4, 1, 1, 2, 2, 3, 3, 4, 4, 2, 3, 4, 4, 3, 4, 5, 3, 5, 5, 3, 4, > 6)df2 <- data.frame(participantes, grupo, valor) > I want to find if there is differences in the "grupo" in each > participant. I don't know how to find this p-value for each > participant, could you help me, please??Thanks a lot > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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 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.