?? Change per year = (estimated end value - estimated begin value)/## years
Am I missing something subtle here? 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 10:41 AM Dileepkumar R <dileepkunj...@gmail.com> wrote: > 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.
