Dear Robert, thanks so much!!! Now I understand! So you also think that I have to check only the residuals and not the data directly. Now just for curiosity I did the the shapiro test on the residuals. The problem is that on fit3 I don´t get from the test that the data are normally distribuited. Why? Here the data:
> shapiro.test(residuals(fit1)) Shapiro-Wilk normality test data: residuals(fit1) W = 0.9848, p-value = 0.05693 #Here the test is ok: the test says that the data are distributed normally (p-value greather than 0.05) > shapiro.test(residuals(fit2)) Shapiro-Wilk normality test data: residuals(fit2) W = 0.9853, p-value = 0.06525 #Here the test is ok: the test says that the data are distributed normally (p-value greather than 0.05) > shapiro.test(residuals(fit3)) Shapiro-Wilk normality test data: residuals(fit3) W = 0.9621, p-value = 0.0001206 Now the test reveals p-value lower than 0.05: so the residuals for fit3 are not distributed normally.... Why I get this beheaviour? Indeed in the histogram and Q-Q plot for fit3 residuals I get a normal distribution. ________________________________ From: Robert Baer <rb...@atsu.edu> Sent: Wed, January 5, 2011 8:56:50 PM Subject: Re: [R] Assumptions for ANOVA: the right way to check the normality > Someone suggested me that I don´t have to check the normality of the data, but > the normality of the residuals I get after the fitting of the linear model. > I really ask you to help me to understand this point as I don´t find enough > material online where to solve it. Try the following: # using your scrd data and your proposed models fit1<- lm(response ~ stimulus + condition + stimulus:condition, data=scrd) fit2<- lm(response ~ stimulus + condition, data=scrd) fit3<- lm(response ~ condition, data=scrd) # Set up for 6 plots on 1 panel op = par(mfrow=c(2,3)) # residuals function extracts residuals # Visual inspection is a good start for checking normality # You get a much better feel than from some "magic number" statistic hist(residuals(fit1)) hist(residuals(fit2)) hist(residuals(fit3)) # especially qqnorm() plots which are linear for normal data qqnorm(residuals(fit1)) qqnorm(residuals(fit2)) qqnorm(residuals(fit3)) # Restore plot parameters par(op) > > If the data are not normally distributed I have to use the kruskal wallys test > and not the ANOVA...so please help > me to understand. Indeed - Kruskal-Wallis is a good test to use for one factor data that is ordinal so it is a good alternative to your fit3. Your "response" seems to be a discrete variable rather than a continuous variable. You must decide if it is reasonable to approximate it with a normal distribution which is by definition continuous. > > I make a numerical example, could you please tell me if the data in this table > are normally distributed or not? > > Help! > > > number stimulus condition response > 1 flat_550_W_realism A 3 > 2 flat_550_W_realism A 3 > 3 flat_550_W_realism A 5 > 4 flat_550_W_realism A 3 > 5 flat_550_W_realism A 3 > 6 flat_550_W_realism A 3 > 7 flat_550_W_realism A 3 > 8 flat_550_W_realism A 5 > 9 flat_550_W_realism A 3 > 10 flat_550_W_realism A 3 > 11 flat_550_W_realism A 5 > 12 flat_550_W_realism A 7 > 13 flat_550_W_realism A 5 > 14 flat_550_W_realism A 2 > 15 flat_550_W_realism A 3 > 16 flat_550_W_realism AH 7 > 17 flat_550_W_realism AH 4 > 18 flat_550_W_realism AH 5 > 19 flat_550_W_realism AH 3 > 20 flat_550_W_realism AH 6 > 21 flat_550_W_realism AH 5 > 22 flat_550_W_realism AH 3 > 23 flat_550_W_realism AH 5 > 24 flat_550_W_realism AH 5 > 25 flat_550_W_realism AH 7 > 26 flat_550_W_realism AH 2 > 27 flat_550_W_realism AH 7 > 28 flat_550_W_realism AH 5 > 29 flat_550_W_realism AH 5 > 30 bump_2_step_W_realism A 1 > 31 bump_2_step_W_realism A 3 > 32 bump_2_step_W_realism A 5 > 33 bump_2_step_W_realism A 1 > 34 bump_2_step_W_realism A 3 > 35 bump_2_step_W_realism A 2 > 36 bump_2_step_W_realism A 5 > 37 bump_2_step_W_realism A 4 > 38 bump_2_step_W_realism A 4 > 39 bump_2_step_W_realism A 4 > 40 bump_2_step_W_realism A 4 > 41 bump_2_step_W_realism AH 3 > 42 bump_2_step_W_realism AH 5 > 43 bump_2_step_W_realism AH 1 > 44 bump_2_step_W_realism AH 5 > 45 bump_2_step_W_realism AH 4 > 46 bump_2_step_W_realism AH 4 > 47 bump_2_step_W_realism AH 5 > 48 bump_2_step_W_realism AH 4 > 49 bump_2_step_W_realism AH 3 > 50 bump_2_step_W_realism AH 4 > 51 bump_2_step_W_realism AH 5 > 52 bump_2_step_W_realism AH 4 > 53 hole_2_step_W_realism A 3 > 54 hole_2_step_W_realism A 3 > 55 hole_2_step_W_realism A 4 > 56 hole_2_step_W_realism A 1 > 57 hole_2_step_W_realism A 4 > 58 hole_2_step_W_realism A 3 > 59 hole_2_step_W_realism A 5 > 60 hole_2_step_W_realism A 4 > 61 hole_2_step_W_realism A 3 > 62 hole_2_step_W_realism A 4 > 63 hole_2_step_W_realism A 7 > 64 hole_2_step_W_realism A 5 > 65 hole_2_step_W_realism A 1 > 66 hole_2_step_W_realism A 4 > 67 hole_2_step_W_realism AH 7 > 68 hole_2_step_W_realism AH 5 > 69 hole_2_step_W_realism AH 5 > 70 hole_2_step_W_realism AH 1 > 71 hole_2_step_W_realism AH 5 > 72 hole_2_step_W_realism AH 5 > 73 hole_2_step_W_realism AH 5 > 74 hole_2_step_W_realism AH 2 > 75 hole_2_step_W_realism AH 6 > 76 hole_2_step_W_realism AH 5 > 77 hole_2_step_W_realism AH 5 > 78 hole_2_step_W_realism AH 6 > 79 bump_2_heel_toe_W_realism A 3 > 80 bump_2_heel_toe_W_realism A 3 > 81 bump_2_heel_toe_W_realism A 3 > 82 bump_2_heel_toe_W_realism A 2 > 83 bump_2_heel_toe_W_realism A 3 > 84 bump_2_heel_toe_W_realism A 3 > 85 bump_2_heel_toe_W_realism A 4 > 86 bump_2_heel_toe_W_realism A 3 > 87 bump_2_heel_toe_W_realism A 4 > 88 bump_2_heel_toe_W_realism A 4 > 89 bump_2_heel_toe_W_realism A 6 > 90 bump_2_heel_toe_W_realism A 5 > 91 bump_2_heel_toe_W_realism A 4 > 92 bump_2_heel_toe_W_realism AH 7 > 93 bump_2_heel_toe_W_realism AH 3 > 94 bump_2_heel_toe_W_realism AH 4 > 95 bump_2_heel_toe_W_realism AH 2 > 96 bump_2_heel_toe_W_realism AH 5 > 97 bump_2_heel_toe_W_realism AH 6 > 98 bump_2_heel_toe_W_realism AH 4 > 99 bump_2_heel_toe_W_realism AH 4 > 100 bump_2_heel_toe_W_realism AH 4 > 101 bump_2_heel_toe_W_realism AH 5 > 102 bump_2_heel_toe_W_realism AH 2 > 103 bump_2_heel_toe_W_realism AH 6 > 104 bump_2_heel_toe_W_realism AH 5 > 105 hole_2_heel_toe_W_realism A 3 > 106 hole_2_heel_toe_W_realism A 3 > 107 hole_2_heel_toe_W_realism A 1 > 108 hole_2_heel_toe_W_realism A 3 > 109 hole_2_heel_toe_W_realism A 3 > 110 hole_2_heel_toe_W_realism A 5 > 111 hole_2_heel_toe_W_realism A 2 > 112 hole_2_heel_toe_W_realism AH 5 > 113 hole_2_heel_toe_W_realism AH 1 > 114 hole_2_heel_toe_W_realism AH 3 > 115 hole_2_heel_toe_W_realism AH 6 > 116 hole_2_heel_toe_W_realism AH 5 > 117 hole_2_heel_toe_W_realism AH 4 > 118 hole_2_heel_toe_W_realism AH 4 > 119 hole_2_heel_toe_W_realism AH 3 > 120 hole_2_heel_toe_W_realism AH 3 > 121 hole_2_heel_toe_W_realism AH 1 > 122 hole_2_heel_toe_W_realism AH 5 > 123 bump_2_combination_W_realism A 4 > 124 bump_2_combination_W_realism A 2 > 125 bump_2_combination_W_realism A 4 > 126 bump_2_combination_W_realism A 1 > 127 bump_2_combination_W_realism A 4 > 128 bump_2_combination_W_realism A 4 > 129 bump_2_combination_W_realism A 2 > 130 bump_2_combination_W_realism A 4 > 131 bump_2_combination_W_realism A 2 > 132 bump_2_combination_W_realism A 4 > 133 bump_2_combination_W_realism A 2 > 134 bump_2_combination_W_realism A 6 > 135 bump_2_combination_W_realism AH 7 > 136 bump_2_combination_W_realism AH 3 > 137 bump_2_combination_W_realism AH 4 > 138 bump_2_combination_W_realism AH 1 > 139 bump_2_combination_W_realism AH 6 > 140 bump_2_combination_W_realism AH 5 > 141 bump_2_combination_W_realism AH 5 > 142 bump_2_combination_W_realism AH 6 > 143 bump_2_combination_W_realism AH 5 > 144 bump_2_combination_W_realism AH 4 > 145 bump_2_combination_W_realism AH 2 > 146 bump_2_combination_W_realism AH 4 > 147 bump_2_combination_W_realism AH 2 > 148 bump_2_combination_W_realism AH 5 > 149 hole_2_combination_W_realism A 5 > 150 hole_2_combination_W_realism A 2 > 151 hole_2_combination_W_realism A 4 > 152 hole_2_combination_W_realism A 1 > 153 hole_2_combination_W_realism A 5 > 154 hole_2_combination_W_realism A 4 > 155 hole_2_combination_W_realism A 3 > 156 hole_2_combination_W_realism A 5 > 157 hole_2_combination_W_realism A 2 > 158 hole_2_combination_W_realism A 5 > 159 hole_2_combination_W_realism A 5 > 160 hole_2_combination_W_realism A 1 > 161 hole_2_combination_W_realism AH 7 > 162 hole_2_combination_W_realism AH 5 > 163 hole_2_combination_W_realism AH 3 > 164 hole_2_combination_W_realism AH 1 > 165 hole_2_combination_W_realism AH 6 > 166 hole_2_combination_W_realism AH 4 > 167 hole_2_combination_W_realism AH 7 > 168 hole_2_combination_W_realism AH 5 > 169 hole_2_combination_W_realism AH 5 > 170 hole_2_combination_W_realism AH 2 > 171 hole_2_combination_W_realism AH 6 > 172 hole_2_combination_W_realism AH 2 > 173 hole_2_combination_W_realism AH 4 > > > > > Thanks in advance > > > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.