Re: [R] ncol() vs. length() on data.frames

Thank you Greg for the insights! I agree with you that the decrease in speed is not worth the decrease in readability, and I'll change my length() calls to ncol(). Best, Ivan -- Dr. Ivan Calandra TraCEr, laboratory for Traceology and Controlled Experiments MONREPOS Archaeological Research Centre

[R] Help needed: gdal-configuration to install sf package in Mac OS Catalina

Hi, I am using R in Mac. I was trying to install sf package but could not and got error. Detail message of error is under this email. It seems like I have to run gdal- configuration, but not sure what that means. Do you have any idea about that? This is the message I got while installing SF packag

Re: [R] Curve fitting

Generally nlsr package has better reliability in getting parameter estimates because it tries to use automatic derivatives rather than a rather poor numerical estimate, and also uses a Levenberg-Marquardt stabilization of the linearized model. However, nls() can sometimes be a bit more flexible.

Re: [R] Curve fitting

Thanks Jeff Bernard Sent from my iPhone so please excuse the spelling!" > On Apr 5, 2020, at 3:14 PM, Jeff Newmiller wrote: > > stats::nlm? > >> On April 5, 2020 11:53:10 AM PDT, Bernard Comcast >> wrote: >> Any recommendations on an R package to fit data to a nonlinear model >> Y=f(x) with

Re: [R] Curve fitting

err... stats::nls... On April 5, 2020 12:14:15 PM PDT, Jeff Newmiller wrote: >stats::nlm? > >On April 5, 2020 11:53:10 AM PDT, Bernard Comcast > wrote: >>Any recommendations on an R package to fit data to a nonlinear model >>Y=f(x) with a single x and y variable? >> >>I want to be able to gener

Re: [R] Curve fitting

stats::nlm? On April 5, 2020 11:53:10 AM PDT, Bernard Comcast wrote: >Any recommendations on an R package to fit data to a nonlinear model >Y=f(x) with a single x and y variable? > >I want to be able to generate parameter uncertainty estimates and >prediction uncertainties if possible. > >Berna

[R] Curve fitting

Any recommendations on an R package to fit data to a nonlinear model Y=f(x) with a single x and y variable? I want to be able to generate parameter uncertainty estimates and prediction uncertainties if possible. Bernard Sent from my iPhone so please excuse the spelling!" __

Re: [R] ggplot stat smooth and poly

On Thu, Apr 2, 2020 at 6:10 PM PIKAL Petr wrote: > Dear all > > I am not sure, but I believe that in past it was possible to add smoothing > lines in ggplot even if some group did not have enough points to perform > calculation (although I did not find any version which could deliver it). > > Her