[R] Complex Association Plots

I'm new to R plotting, so please be gentle. I want to make a large association plot, showing whether each combination of variables averages more or less than the whole for proportion in a certain category. So, for example: Dependent Variable: eye color (30% green, 45% brown, 25% blue on average)

Re: [R] Scaling Statistical

.115/NA. > So when it tries to interpolate the p-value, the variable 'interpol' is > equal to NaN and the if test fails. > > With a standard error like NA, maybe you don't have enough data points to > run the tests. (Only 3 residuals, all zero, like seen above.) > >

Re: [R] Scaling Statistical

; > Em 23-06-2013 21:44, Rui Barradas escreveu: > > Hello, >> >> See if the following does what you want. >> >> lapply(seq_len(obsv), function(i) adf.test(df[df$ID == i, 3])) >> >> >> Hope this helps, >> >> Rui Barradas >> >

[R] Scaling Statistical

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which di