# Transformation of skewed independent variables with negative values

I have a bunch of independent variables which are skewed and have negative and zero values. I am seeing a lot of suggestions of using cube root as a transformation.

What would be the harm in using $\text{sign}(x)\log(1+|x|)$ instead?

• Why are you transforming these independent variables? – Glen_b Jun 8 '16 at 17:28
• Because the distributions are very skewed and outliers prone. I'm Afraid that it'll affect the estimates. – IamNotLegend Jun 8 '16 at 17:46
• What do you intend to do with these variables (after a possible transformation)? – Joris Bierkens Jun 8 '16 at 20:17
• Use it as a predictor in a logistic regression – IamNotLegend Jun 8 '16 at 20:30
• Why do you think skewness or outliers are a problem for these variables? – Glen_b Jun 9 '16 at 1:34