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I'm trying to check for normality using Shapiro–Wilk normality test. I have a two-way ANOVA (2x3) and would like to run this test on each of the 6 groups. Which function should I use to be able to run it per group? Can I use: shapiro.test or maybe tapply(y, x, shapiro.test)?

Stelios Kounis
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Ann
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    The advice on here tends to be that such normality testing is essentially useless. This is worth reading: https://stats.stackexchange.com/questions/2492/is-normality-testing-essentially-useless. – Dave May 14 '21 at 22:52
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    If you're going to check for normality (by formal test or by looking plots) you should look at 'residuals' from the model not look at data for each factor separately. // The link seems to deal mainly with problems checking for normality in very large samples. – BruceET May 14 '21 at 23:41
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    There is a statistical question here, so I'm voting to keep this thread open. You need a *diagnostic* rather than a formal test. Consider a graphical diagnostic, such as a collection of probability plots of the group residuals. – whuber May 15 '21 at 12:56

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