[R] testing and ploting t-distribution!!!!! Thank you so much:)

[Kjetil Halvorsen]

see inline.

On Fri, Dec 3, 2010 at 11:03 PM,  <5qy at queensu.ca> wrote:
> Hi everyone,
>
> i don't get the qqplot which is used to test if the sample followed a t-distribution?
>
> qqplot(qt(ppoints(z), df = 7.6), z, xlab = "Q-Q plot for t dsn")
> qqline(z)
>
> what qt() means? what ppoints() means?
You must learn to answer such questions yourself by typing
?qt
?ppoints


>
> I know qqnorm() will plots the data in the way of normal distribution. how to make the qqplot to plot the data in the form of t-distribution?
>
> Or is there any command can actually test if the imput data is t-distribution? like the shapiro.test(x) used to test the normality.
>
>
> Thank you so much, guys.
>
>
> Sincerely,
>
>
> Bill
>
> ----- Original Message -----
> From: Michael Bedward <michael.bedward at gmail.com>
> Date: Friday, December 3, 2010 7:48 pm
> Subject: Re: [R] testing and ploting t-distribution
> To: 5qy at queensu.ca
> Cc: r-help at r-project.org
>
>> Hello Bill,
>>
>> Have a look at the example at the bottom of the help page for ?qqplot
>>
>> Michael
>>
>>
>> On 4 December 2010 11:19,  <5qy at queensu.ca> wrote:
>> > Hi there,
>> >
>> >
>> > I am doing a test to see the the residual is distributed in
>> the form of t-distribution and trying to plot the residuals and
>> the t-distribution to compare in the graph.
>> >
>> > Cheers,
>> >
>> > Bill
>> >
>> >
>> >
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