----- Forwarded Message -----
 From: rezvan hatami <rezvan.hatami_...@yahoo.com>
 To: David Winsemius <dwinsem...@comcast.net> 
 Sent: Monday, 27 June 2016, 9:44
 Subject: Re: [R] How I can calculate the value of response variable
   
Dear DavidThank you for your answer. My equation is:
nitrate=0.9*fertilizer-0.02*flowrate+0.5*rain
my matrix:
| season | site | nitrate | fertilizer1 | flow rate |
| spring | site1 | 0.2 | 2 | 1 |
| spring | site2 | 1.2 | 3 | 1 |
| spring | site3 | 2.2 | 5 | 2 |
| summer | site1 | 3.2 | 1 | 2 |
| summer | site2 | 4.2 | 2 | 2 |
| summer | site3 | 5.2 | 3 | 2 |
| fall | site1 | 6.2 | 4 | 3 |
| fall | site2 | 7.2 | 5 | 3 |
| fall | site3 | 8.2 | 6 | 3 |
| winter | site1 | 9.2 | 4 | 4 |
| winter | site2 | 10.2 | 8 | 4 |
| winter | site3 | 11.2 | 9 | 4 |


I would like to know, what will be the values for variable "nitrate" if I 
divide the values of fertilizer by half and change the equation to:
nitrate=0.9*fertilizer2-0.02*flowrate+0.5*rain

in a matrix like:

| season | site | nitrate | fertilizer2 | flow rate |
| spring | site1 | 0.2 | 1 | 1 |
| spring | site2 | 1.2 | 1.5 | 1 |
| spring | site3 | 2.2 | 2.5 | 2 |
| summer | site1 | 3.2 | 0.5 | 2 |
| summer | site2 | 4.2 | 1 | 2 |
| summer | site3 | 5.2 | 1.5 | 2 |
| fall | site1 | 6.2 | 2 | 3 |
| fall | site2 | 7.2 | 2.5 | 3 |
| fall | site3 | 8.2 | 3 | 3 |
| winter | site1 | 9.2 | 2 | 4 |
| winter | site2 | 10.2 | 4 | 4 |
| winter | site3 | 11.2 | 4.5 | 4 |


Would you please tell me how I can do this in R?
Cheers
Rezvan
      From: David Winsemius <dwinsem...@comcast.net>
 To: rezvan hatami <rezvan.hatami_...@yahoo.com> 
Cc: "r-help@r-project.org" <r-help@r-project.org>
 Sent: Monday, 27 June 2016, 1:20
 Subject: Re: [R] How I can calculate the value of response variable
  

> On Jun 26, 2016, at 3:23 AM, rezvan hatami via R-help <r-help@r-project.org> 
> wrote:
> 
>  How I can calculate the value of response variable in a linear model of a 
>matrix of several variables?Can somebody please answer me?
> 

  You should explain in more detail why the answer to this question is not just 
the `lm` function. See:

?lm
?predict.lm

    That would deliver (after suitable invocation of the `predict` function) 
not be the "value of the response variable" (since that would just be the 
values in your data), but rather the conditional expectation of the response 
variable given the values of the predictors.


> 
> Cheers
> Rezvan Hatami
>     [[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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.

David Winsemius
Alameda, CA, USA


   

  
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