Message-ID: <BAY113-W49100BA3BFF893C0F0151484A40@phx.gbl>
Date: 2008-06-21T11:15:06Z
From: PUJAN RAJ REGMI
Subject: [RsR] Normality test using large sample size
In-Reply-To: <mailman.0.1214046642.32481.r-sig-robust@r-project.org>
Dear list,I am trying to perform normality test for my data set. my data set is quite large N>13000 with 4 valriables under study , so When I tried to do normality test for each variable using lillie.test of nortest package the p values is almost zero "2.16e-16". So for all variable the test reject the null hypothesis (p-value the same("2.16e-16").i.e. it doesn't comes from normal distribution which I believe is not true and even this can be seen in histogram plot that fwe variable's plot shows normal distribution. Now I doubted that my approach to test for normality might not be correct becasue I am dealing with large number of samples. So I request you to provide me insight on the other efficient ways in R.Thanking youSincerely,Pujan
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