Hello, I was wandering if it is possible to perform on a dataframe called 'all' a shapiro wilk normality test for COUNTS by variable Group
ACTIVITY? Could it be done using plyer? I saw an eg that applies to an array but not to a dataframe: lapply(split(dataset1$Height,dataset1$Group),shapiro.test) Any thoughts would be much appreciated. My dataframe is in shape: dat ACTIVIT COUNTS 1/1/13 XXXX 43 .. .. 1/31/13 XXXX 60 1/1/13 YYYY 40 .. .. 1/31/13 YYYY 10 etc going for 3 months. -- View this message in context: http://r.789695.n4.nabble.com/How-to-perform-a-grouped-shapiro-wilk-test-on-dataframe-tp4663438.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
