search for: magliulo

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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

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

...s s(pred1, edf[1] ) & pred2 vs s(pred2, edf[2] ) 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:

I have just started using R for my PhD. I am importing my data from Excel via notepad into Word. Unfortunately, my data has many missing values. I have put '.' and this allowed me to import the data into R. However, I now want to interpolate these missing values. Please can someone give me some pointers as to the method/code I could use? Thankyou, Lillian.

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)

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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

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

Hi, there: When plot ann predicted results I need to indicate numbers of inputs for each column. V1 V2 V3 V4 1 86.2700 49.9380 30.7630 0.1327 2 89.5127 55.9707 33.7683 0.1186 3 91.1833 58.4670 34.5610 0.1134 matplot(t, pch = 1:4, type = "o", col = rainbow(ncol(t)),xlab = "No. of inputs ", ylab = "Mean of 6 Datasets",

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]]

hi - does anyone on this list know if it is possible to use the vorbis audio codec in conjunction with an AVI file?? what would it take to do this? are there any apps written for this already, that could prove this codec useful with an AVI?? I can attach MP3 to an AVI of course, but there are many playback problems (mainly sync + crappy sound) with MP3... any of you developers working on

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 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