I have a bunch of benchmark measurements that look something like this: sample.1 0.0000066660 0.0000062500 0.0000058330 0.0000058330 0.0000058330 sample.2 0.0000058330 0.0000058330 0.0000058330 0.0000058330 0.0000058330 sample.3 0.0000062500 0.0000062500 0.0000070830 0.0000062500 0.0000066660
i.e each measurement take on one of a set of values. The set values isn't fixed, but they seem to go up increments; in this case, it appears to be about 4.17e-07 (e.g. it would be impossible for a measurement to be 0.0000066440). What is way to test for significant differences between two samples? Sorry if this is a noob question, but I'm kinda new to this. The two tests I'm aware of are the Student's t and Wilcoxon Rank Sum; neither seems to apply here. I've tried Googling this, but haven't found anything useful (maybe I'm not using the right terms...). Any help would be greatly appreciated. Regards, setro -- View this message in context: http://r.789695.n4.nabble.com/Significance-test-tp3836155p3836155.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.
