Looking for a functions that performs Tukey's transformation (as it does in r but for larger than 5000 data sets) to identify the best transformation to normalize data for parametric analyses. This would eliminate the guesswork and save everyone time. The r reference is:
library(rcompanion)
T_tuk =
transformTukey(yourdatanamehere,
plotit=FALSE)
lambda W Shapiro.p.value
397 -0.1 0.935 0.08248
if (lambda > 0){TRANS = x ^ lambda}
if (lambda == 0){TRANS = log(x)}
if (lambda < 0){TRANS = -1 * x ^ lambda}