Sent: Friday, October 17, 2003 3:33 PM
> | To: R HELP; Martina Pavlicova
> | Subject: Re: [R] Lilliefors Test
> |
> |
> | On 17 Oct 2003 at 13:59, Martina Pavlicova wrote:
> |
> | There is shapiro.test in package ctest, which have much better power
> | properties than Lillefor
Martina Pavlicova <[EMAIL PROTECTED]> writes:
> > Is it not true that the Shapiro Wilks test implemented in the package
> > ctest requires the assumption that the population variance of the
> > variable is known?
>
> I am not sure about this one...
No, that is false. Shapiro-Wilks basically meas
m: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> | Sent: Friday, October 17, 2003 3:33 PM
> | To: R HELP; Martina Pavlicova
> | Subject: Re: [R] Lilliefors Test
> |
> |
> | On 17 Oct 2003 at 13:59, Martina Pavlicova wrote:
> |
> | There is shapiro.test in package ctest, whic
:[EMAIL PROTECTED]
| Sent: Friday, October 17, 2003 3:33 PM
| To: R HELP; Martina Pavlicova
| Subject: Re: [R] Lilliefors Test
|
|
| On 17 Oct 2003 at 13:59, Martina Pavlicova wrote:
|
| There is shapiro.test in package ctest, which have much better power
| properties than Lillefors test. So there is
On 17 Oct 2003 at 13:59, Martina Pavlicova wrote:
There is shapiro.test in package ctest, which have much better power
properties than Lillefors test. So there is no need to have
Lilliefors test in R, except for archeological interest.
Kjetil Halvorsen
>
> Hello everybody,
>
> I would like
Hello everybody,
I would like to perform a test for normality (without specifying the
mean a variance) on the sample data (80 observations). I found that
Lilliefors test is appropriate. Does anybody have it programmed already,
or is there a function for this test in R?
Thank you very much,
Mart
