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))


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