testing and ploting t-distribution

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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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?

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



----- Original Message -----
From: r-help-request at r-project.org
Date: Wednesday, December 1, 2010 1:29 am
Subject: confirm 1f8ffd55c611e2b0ed4ed4d2b79a8d9b30182a95
To: 5qy at queensu.ca

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