y statistics and R. My
>>> recommendation
>>> is _Introductory Statistics with R_ by Peter Dalgaard (Paperback -
>>> Jan 9,
>>> 2004). Amazon.com carries it.
>>>
>>> Best wishes.
>>>
>>>
>>>
>>> Charles Annis,
> Charles Annis, P.E.
>>
>> [EMAIL PROTECTED]
>> phone: 561-352-9699
>> eFax: 614-455-3265
>> http://www.StatisticalEngineering.com
>>
>>
>> -Original Message-
>> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
>> Behalf Of Jarek
9,
> 2004). Amazon.com carries it.
>
> Best wishes.
>
>
>
> Charles Annis, P.E.
>
> [EMAIL PROTECTED]
> phone: 561-352-9699
> eFax: 614-455-3265
> http://www.StatisticalEngineering.com
>
>
> -----Original Message-
> From: [EMAIL PROTECTED] [mailto:[
to:[EMAIL PROTECTED] On
Behalf Of Jarek Jasiewicz
Sent: Saturday, January 12, 2008 2:06 PM
To: [EMAIL PROTECTED]
Cc: R-help@r-project.org
Subject: Re: [R] glm expand model to more values
Charles Annis, P.E. wrote:
> How many parameters are you trying to estimate? How many observations do
>
calEngineering.com
>
>
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
> Behalf Of Jarek Jasiewicz
> Sent: Saturday, January 12, 2008 11:50 AM
> To: R-help@r-project.org
> Subject: [R] glm expand model to more values
>
> Hi
>
&
R-help@r-project.org
Subject: [R] glm expand model to more values
Hi
I have the problem with fitting curve to data with lm and glm. When I
use polynominal dependiency, fitted values from model are OK, but I
cannot recive proper values when I use coefficents to caltulate this.
Let me prese
Either use the predict function to create the new predictions, or use the raw
argument to poly.
From: [EMAIL PROTECTED] on behalf of Jarek Jasiewicz
Sent: Sat 1/12/2008 9:50 AM
To: R-help@r-project.org
Subject: [R] glm expand model to more values
Hi
I have
Hi
I have the problem with fitting curve to data with lm and glm. When I
use polynominal dependiency, fitted values from model are OK, but I
cannot recive proper values when I use coefficents to caltulate this.
Let me present simple example:
I have simple data.frame: (dd)
a: 1 2 3 4 5 6
b:
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