Hello,
I want to do normality test on my data
I write this but I don't understand the display of the results
ks.test(data,"pnorm")
In fact I want to know if my data is a normal distribution. I have to check the
p-value or D?
Thanks.
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l
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elyakhlifi mustapha wrote:> > Hello, > I want to do normality test on my data > I write this but I don't understand the display of the results > > ks.test(data,"pnorm") > > In fact I want to know if my data is a normal distribution. I have to > check the p-value or D? > Thanks. > >Example:> r = rnorm(100) > ks.test(r,"pnorm")One-sample Kolmogorov-Smirnov test data: r D = 0.1248, p-value = 0.08874 alternative hypothesis: two-sided Interpretation: the probability of a D value this far from 0 (i.e., abs(D)>=0.1248) is p=0.088 under the null hypothesis that the data are normally distributed. Hence, we would fail to reject the null hypothesis at the "usual" alpha=0.05 level. You might want to consider shapiro.test instead/in addition. Ben Bolker -- View this message in context: http://www.nabble.com/ks.test-tf4820384.html#a13792656 Sent from the R help mailing list archive at Nabble.com.
Hello,
I want to do a normality test to know if "donnees" is defined as a
normal distribution.
To do that I can use the ks.test() function but I can't understand the
results.
I writed that:
ks.test(donnees,"pnorm",mean(donnees),sd(donnees))
and the results are:
One-sample Kolmogorov-Smirnov test
data: donnees
D = 0.0421, p-value < 2.2e-16
alternative hypothesis: two-sided
Warning message:
cannot compute correct p-values with ties in: ks.test(donnees,
"pnorm", mean(donnees), sd(donnees))
_____________________________________________________________________________
l
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