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.