[R] about fitting a regression line

Don McKenzie dmck at u.washington.edu
Thu Jun 15 21:51:15 CEST 2017


Did you perhaps accidentally include your response as a predictor?

> On Jun 15, 2017, at 12:48 PM, lily li <chocold12 at gmail.com> wrote:
> 
> Thanks for your replies. I tried the regression, but then got a NA value
> for the slope. And here is the error message:
> Coefficients: (1 not defined because of singularities)
> 
> 
> On Thu, Jun 15, 2017 at 12:20 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote:
> 
>> Hi
>> 
>> But X can be some function like - sin, cos, log, exp...
>> 
>> Cheers
>> Petr
>> 
>>> -----Original Message-----
>>> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of lily li
>>> Sent: Thursday, June 15, 2017 1:28 AM
>>> To: MacQueen, Don <macqueen1 at llnl.gov>
>>> Cc: R mailing list <r-help at r-project.org>
>>> Subject: Re: [R] about fitting a regression line
>>> 
>>> Thanks. I thought lm() function is for linear model, such as the
>> correlation
>>> below:
>>> Y= aX + b
>>> 
>>> On Wed, Jun 14, 2017 at 5:25 PM, MacQueen, Don <macqueen1 at llnl.gov>
>>> wrote:
>>> 
>>>> Start with the lm() function; i.e., see
>>>> 
>>>>  ?lm
>>>> 
>>>> -Don
>>>> 
>>>> --
>>>> Don MacQueen
>>>> 
>>>> Lawrence Livermore National Laboratory
>>>> 7000 East Ave., L-627
>>>> Livermore, CA 94550
>>>> 925-423-1062
>>>> 
>>>> 
>>>> On 6/14/17, 3:40 PM, "R-help on behalf of lily li" <
>>>> r-help-bounces at r-project.org on behalf of chocold12 at gmail.com> wrote:
>>>> 
>>>>    Hi R users,
>>>> 
>>>>    I have some data points (Xi, Yi), and they may follow such a
>>>> pattern Yi =
>>>>    cCOS(Xi) + d, how to find the c and d in R? which function to use?
>>>> Also,
>>>>    how to get the R2 and p value for this correlation? Thanks for any
>>>> kind of
>>>>    help.
>>>> 
>>>>        [[alternative HTML version deleted]]
>>>> 
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>>>> 
>>>> 
>>>> 
>>> 
>>>      [[alternative HTML version deleted]]
>>> 
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