Here an example of my data, as suggested (I am very sorry for the format, I couldn't figure out another solution or place to put a file.
#How to interpret two way anova in excel how to
I also found things about ranking or randamization, but not yet how to implement those techniques in R.ĭoes anyone have a suggestion what I should do?Įdit: thank you for your answers, I am a little overwhelmed by the reading (it just seems getting more and more instead of less), but I will of course keep going. I found something about a Kruskal-Walis-Test, but only for one factor (?). Now I am at a loss, how to conduct the ANOVA for testing which proteins and which treatments differ significantly from each other.
I tried different data transformations (log, center, standardization), all of which did not solve my problems with the variances. I came up with > chisq.test(time)Īnd the result was, that I don't have equality of variance in my data either. Which left me with the first questions of which test to use for equality of variances.
In both cases (maybe not surprising) I ended up with a non-normal distribution. I tested for normality using both > shapiro.test(time)Īnd > ks.test(time, "norm", mean=mean(time), sd=sqrt(var(time))) The plan was to run a simple TWO-WAY-ANOVA on my data which results from 3 different proteins and 8 different treatments on those, so my two factors are proteins and treatments. However, after spending some time with my data I came to the conclusion that SigmaPlot might not be fit for my problem (I may be mistaken) so I started my first attempts in R, which did not exactly make it easier. I am working on my master thesis at the moment and planned on running the statistics with SigmaPlot.
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