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From | Steven Delbright <steven.delbright@gmail.com> |
To | Statalist <statalist@hsphsun2.harvard.edu> |
Subject | st: Transformation of variable with pos/neg values via asinh |
Date | Mon, 18 Nov 2013 16:58:24 -0600 |
Dear All: I frequently work with variables that have positive and negative values, and that also have extreme values. Normally, I just winsorize the tails and that's the end of the story. Recently, I frequently come across inverse hyperbolic sine function (IHS) transformations (stata function asinh). The benefit of IHS is that it also transforms negative values (contrary to log transformations). However, the transformed variable typically has two modes (aka bimodal distribution) -- even though the input variable is normally distributed (although with extreme values). My question: Does any of you use asinh, and if so, how do you deal with the bimodal distribution of the transformed variable? I realize that the normality assumption of OLS does not require the DV to be normally distributes (but the residuals) but it still seems strange to have a DV with two modes... Thanks Steven * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/