Rather than just posting your error message, it helps immensely to post the code that produced the error--indeed with some small sample data that reproduces the problem.
x <- rnorm(40) y <- 0.6 * x + rnorm(40, sd = 0.3) plot(y ~ x) model <- lm(y ~ cos(x)) summary(model) plot(y ~ cos(x)) abline(model, col = "red") ## obviously I am not claiming that this is a meaningful or sensible model ## It's just for illustrative purposes --Chris Ryan On Thu, Jun 15, 2017 at 3:48 PM, lily li <chocol...@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.pi...@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-boun...@r-project.org] On Behalf Of lily > li > > > Sent: Thursday, June 15, 2017 1:28 AM > > > To: MacQueen, Don <macque...@llnl.gov> > > > Cc: R mailing list <r-help@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 <macque...@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-boun...@r-project.org on behalf of chocol...@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? 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[[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
