Hello all: Is there a way to detect in R if a dataset is normally distributed or skewed without graphically seeing it? The reason I want to be able to do this is because I have developed and application with Visual Basic where Word,Access and Excel "talk" to each other and I want to integrate R to this application to estimate confidence intervals on fish sizes (mm). I basically want to automate the process from Excel by detecting if my data has a normal distribution then use t.test, but if my data is skewed then use wilcox.test. Something like the pseudo code below:
fishlength <- c(35,32,37,39,42,45,37,36,35,34,40,42,41,50) if fishlength= "normally distributed" then t.test(fishlength) else wilcox.text(fishlength) I hope this isn't very confussing Felipe D. Carrillo Supervisory Fishery Biologist Department of the Interior US Fish & Wildlife Service California, USA ______________________________________________ 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.
