Thank you for your reply. Yes, we can get the curve fit values on the line (as the length of input data frame) from predict.gam() function. But I wish to get the trend value (in Trends in °C per decade or °C per year) as given in the Box 2.2, Table 1. But I couldn't find any option in GAM method.
Actually on of the reviewer of my paper suggested me to estimate the non-linear trend as given in this Box 2.2, Table 1 and Figure 1. Dileepkumar R On Tue, Aug 11, 2020 at 8:01 PM Bert Gunter <bgunter.4...@gmail.com> wrote: > Caveat: Did not look at any of your links. > > However, the usual answer for this sort of question is ?predict.gam (in > general, predict.whatevermethod) > Have you consulted the man page? If this is not what you want, you may > need to explain more carefully. > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Tue, Aug 11, 2020 at 5:21 AM Dileepkumar R <dileepkunj...@gmail.com> > wrote: > >> Dear All, >> >> I am trying to estimate the non -linear trend value from smooth spline >> trend fit (using the generalized additive model (GAM)). >> >> I want to estimate the trend value from a temperature dataset (spatial >> averaged annual meantime from 1906 to 2005) as given in the Box 2.2, Table >> 1 in the attached Google doc pdf. (That pages are from IPCC Assessment >> Report 5 chapter 2 >> < >> https://www.ipcc.ch/site/assets/uploads/2017/09/WG1AR5_Chapter02_FINAL.pdf >> >, >> page number 21-22 ) >> >> I do not understand how they estimate the single value trend with 95% >> confidence interval from a time-series data as given in the Box 2.2, >> Figure >> 1. Is there any easy way to extract the trend value using mgcv library of >> R.? >> >> Google Doc Link: >> >> https://drive.google.com/file/d/1z3XLW-154dsZE6GrvQ4rH_fev9lqdsho/view?usp=sharing >> >> Thank you all in advance >> >> Dileepkumar R >> >> [[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. >> > [[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.
