I basically don't know how to proceed with my transformed dataset.
I have a dataset of 500 observations, positive skew. I have used the bestNormalize package to normalise it (it chose Box-Cox, if that matters) and so now I have a nice dataset of new values, normal distribution. (The result is in a bestNormalise object, but I have also made a df from it, which is what you can see below.)
How do I calculate probabilities for new "original values" from this? I.e 113883785 equals 0.17045703 in the transformed data, and I can use pnorm to calculate the probability for 0.17045703, which should be the probability for 113883785 in the original dataset. But how do I go about getting the probability for 130000, or 586, or any number not exactly in the original dataset? Help would be much appreciated. Thank you!