Re: [R] Interpreting p values of gls in nlme

In a lm() model a significant intercept means that the line passes above or below the intercept (x=0, y=0). A significant predictor means that the slope is not zero. More generally the significant predictor means that the predictor has some influence on the predicted. With nlme() the relationsh

Re: [R] Interpreting p values of gls in nlme

Yikes! This list is for help on R *programming*, not statistics per se, although these do sometimes intersect. However, your query strikes me as a request for a kind of statistical tutorial, which is OT here. Just so you are aware... R has a special interest group (SIG) for phylgenetics at https:

[R] Interpreting p values of gls in nlme

Dear all I have undertaken some phylogenetic and non-phylogenetic regressions with gls() in nlme with single preictor variables. A p value is associated with the intercept (upper p value) and another with the predictor variable (lower). Which p value is important? What does it mean if the intercep

Re: [R] Automatic Knot selection in Piecewise linear splines

Thanks, Martin. This is very helpful. On Tue, 16 Jul 2024 at 14:52, Martin Maechler wrote: > > Anupam Tyagi > > on Tue, 9 Jul 2024 16:16:43 +0530 writes: > > > How can I do automatic knot selection while fitting piecewise linear > > splines to two variables x and y? Which p

Re: [R] Automatic Knot selection in Piecewise linear splines

> Anupam Tyagi > on Tue, 9 Jul 2024 16:16:43 +0530 writes: > How can I do automatic knot selection while fitting piecewise linear > splines to two variables x and y? Which package to use to do it simply? I > also want to visualize the splines (and the scatter plot) with a