R help - Nov 2007 - Testing normality

Hi,

I'm doing kolmogorv-smirnov test but I don't know what conclusions to
take, I want to know if my data has a normal distribution:
> ks.test(dados1,"pnorm")
        One-sample Kolmogorov-Smirnov test

data:  dados1 
D = 0.972, p-value < 2.2e-16
alternative hypothesis: two-sided 

Warning message:
cannot compute correct p-values with ties in: ks.test(dados1, "pnorm")


Best regards,

Pedro Marques

pedrosmarques at portugalmail.pt schrieb:
> Hi,
>
> I'm doing kolmogorv-smirnov test but I don't know what conclusions
to take, I want to know if my data has a normal distribution:
>
>   
>> ks.test(dados1,"pnorm")
>>     
>
>         One-sample Kolmogorov-Smirnov test
>
> data:  dados1 
> D = 0.972, p-value < 2.2e-16
> alternative hypothesis: two-sided 
>
> Warning message:
> cannot compute correct p-values with ties in: ks.test(dados1,
"pnorm")
>
>
> Best regards,
>
> Pedro Marques
>
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> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>   
Your approach amounts to testing if  dados1 is a sample from a standard 
normal distribution.
Is that what you want?

Regards

D. Trenkler

-- 
Dietrich Trenkler c/o Universitaet Osnabrueck 
Rolandstr. 8; D-49069 Osnabrueck, Germany    
email: Dietrich.Trenkler at Uni-Osnabrueck.de