I need to transform my not normal distributed data to normal distributed variables. Therefore I need to log-transform them. Log10(x+1) has not worked to create a normal distribution. Therefore, I want to do a log100 transformation but it does not work in R. How do I write the function to get the new data? Thanks a lot!!!
and according to the test of normal distribution: Shapiro-Wilk normality test
data: daten$Cover_single W = 0.85141, p-value = 8.116e-05
Shapiro-Wilk normality test
data: log10(daten$Cover_single + 1) W = 0.79318, p-value = 3.942e-06
So i dont get this variable into normal distribution by transformation. How can I do this in R?