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...nyone has experience with that ? Some headers seems rather clear and interesting, but binding may not be so easy.... Actually, my question is: will I have to manipulate complex R objects in C to access to raw statistic functions ? Thanks for your experience. Regards, ++ Jul. -- Julien VIENNE CLIMPACT Institut Pierre-Simon Laplace Universit? Pierre et Marie Curie 4, place Jussieu Tour 45-46, 5?me ?t. Bureau 507 75252 Paris Cedex 5 Tel : 01 44 27 34 31 Email: jv@climpact.com Web: http://www.climpact.com/

...I would like to know if there is a way to access to those terms (s(pred1) & s(pred2)). Does someone know how? the purpose is to access to equation of smooths terms in order to have the equation of my additive model. best regards, -- Yves Magliulo, Climatology research departement <ym at climpact.com> Climpact

Hello, Using a fixed effects linear model (with lm), I can get exact p-values out of the AVOVA table, even if they are very small, eg. 1.0e-200. Using lme (linear mixed effects) from the nlme library, it appears that there is rounding of the p-values to zero, if the p-value is less than about 1.0e-16. Is there a way we can obtain the exact p-values from lme without rounding? used commands:

Hi all I have the next data frame year STOD SLAGNR TAL TALT TALVEKT 1 2002 2120006 57 1 NA 1 2 1997 97030032 57 NA NA NA 3 1997 97030071 27 1 NA NA 4 1997 97030005 57 1 NA NA 5 1997 97020127 60 NA 1 NA 6 2001 1160025 27 1 NA 1 7 1998 98020069 60 1 NA NA 8

Dear R users, I'm coming back to R after while. I have a data frame with 200 columns, each column has a name. How to extract all columns to a new dataset, but the specified (by names) ones? I was playing with that for a little bit using the vector syntax but got several syntax errors. Thanks, Rado

What does this warning mean precisely? Is there any reason to care about it? Can I Avoid it by another way of programming? Thank you in advance.

Dear Sir/Madam, I am doing a project related to R. However, it is always difficult find some R functions. The R user guide seems not complete. Is there any free document about all R functions ? Who knows ? please help me. My email is myzhaogong@yahoo.com Thank you very much --------------------------------- [[alternative HTML version deleted]]

Can you please try doveadm exec imap -u username_of_the_user 1 LIST "" "*" and see if it is there? Aki > On 22/02/2023 14:28 EET Nikolaos Milas <nmilas at noa.gr> wrote: > > > On 21/2/2023 9:56 ?.?., Aki Tuomi wrote: > > Can you enable mail_debug=yes, restart, ask the user to access the folder(s) and provide those logs? > > > > Hi

hi, i have a vector like : x<-c(1,15,30,45,60,90,115) i know that step by step i have always more than 10 min(diff(x)) >=11 i want to add for each value a sequence of value:value+9 result should be : 1 2 3 4 5 6 7 8 9 10 15 16 17 18 19 20 21 22 23 24 30 31 (...) 39 45 46 (...) 54 60 61 etc.. how can i do this without a loop (i'm sure there is a "elegant" way like

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Hi, I am fairly new to GAM and started using package mgcv. I like the fact that optimal smoothing is automatically used (i.e. df are not determined a priori but calculated by the gam procedure). But the mgcv manual warns that p-level for the smooth can be underestimated when df are estimated by the model. Most of the time my p-levels are so small that even doubling them would not result

hi, i'm using gam() function from package mgcv. if G is my gam object, then >SG=summary(G) Formula: y ~ +s(x0, k = 5) + s(x1) + s(x2, k = 3) Parametric coefficients: Estimate std. err. t ratio Pr(>|t|) (Intercept) 3.462e+07 1.965e+05 176.2 < 2.22e-16 Approximate significance of smooth terms: edf chi.sq p-value s(x0)

Hi there, I think I have found a small problem in the "/my/path/R-2.0.1/src/modules/X11/MakeFile" generation. During the configure step, I have specified a specific JPEG library by exporting CPPFLAGS variable. All compilation works well for individual files in the src/modules/X11/ directory, but when linking, the -ljpeg option doesn't work. I obtain the following message (in french

hi, i'm using gam() function from package mgcv with default option (edf estimated by GCV). >G=gam(y ~ s(x0, k = 5) + s(x1) + s(x2, k = 3)) >SG=summary(G) Formula: y ~ +s(x0, k = 5) + s(x1) + s(x2, k = 3) Parametric coefficients: Estimate std. err. t ratio Pr(>|t|) (Intercept) 3.462e+07 1.965e+05 176.2 < 2.22e-16 Approximate significance of smooth