I have hundreds of variables each has more than 100000 observations. My aim is to determine which variables ara normally distributed. Usual tests like Shapiro-Wilk tests are likely to reject normality of distribution even the distribution is really normal. Since I have hundreds of variables, I can't use graphs to decide normality. How can I do such a mulpitle test using R? I will be very glad for any help. Thanks a lot.
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$\begingroup$ See this answer stats.stackexchange.com/questions/92374/… $\endgroup$– mdeweyCommented Apr 11, 2016 at 17:35
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$\begingroup$ Translated into simple terms, this post appears to ask, "I would like to find normally distributed variables. I have a procedure that does a very good job of that. What are my alternatives?" I hope that makes it evident that something important is missing from the question: namely, why are you doing this and what specifically is the matter with being able to do it well? $\endgroup$– whuber ♦Commented Apr 11, 2016 at 17:40
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