Wrapper for the Dixon test from outliers package.
voges_dixon(data, outlier.range = 3, alpha = 0.05, silent = FALSE)input data (List, dataframe or vector?)
This is only important for samples with 3 or less values. In this case the range of data (e.g. Range c(1,1.4,1.3) = 0.4) need to be at least outlier.range if an outlier test shoud happen. Normally outlier test for 3 or less values is not recommended. But this helps to get rid of clear outliers e.g. (2,2,30). My advice is to check the data also manually.
alpha for outlier testing (0.05 = 95% significance)
should outliers be printed to output?
returns a dataframe or list depending on the input.