[R] Question about lmRob

ch the variables are added to the model matters and that this influences the P-value, but can this make such a big difference? Which P-values are best to use? Also, could this be an indication something is wrong with my model? Any help would be greatly appreciated! Thanks, Geertje Geertje v

[R] Help on ANCOVA

ch the variables are added to the model matters and that this influences the P-value, but can this make such a big difference? Which P-values are best to use? Also, could this be an indication something is wrong with my model? Any help would be greatly appreciated! Thanks, Geertje Geertje v

[R] Problem with code for bootstrapping chi square test with count data

hope it is clear what I am trying to do! I have tried looking on the internet and in the R archives, but I can't find what I am looking for. Thanks very much in advance for your help! Geertje Geertje van der Heijden PhD student Tropical Ecology School of Geography University of

[R] Difference between AIC in GLM and GLS - not an R question

? Thanks, Geertje Geertje van der Heijden PhD student Tropical Ecology School of Geography University of Leeds Leeds LS2 9JT Tel: (+44)(0)113 3433345 Email: [EMAIL PROTECTED] [[alternative HTML version deleted]] __ R-help@r-project.org

Re: [R] Difference between AIC in GLM and GLS - not an R question

Dear Prof. Ripley, Thanks for your response! I used the REML method. If I estimate the gls models using ML estimation, the AIC values are equal. Many thanks, Geertje On Tue, 27 Nov 2007, Geertje Van der Heijden wrote: > I have fitted a model using a glm() approach and using a

[R] plotting bootstrapped confidence intervals regression

point me in the direction of a package, which I can use to plot my bootstrapped confidence intervals? All help is greatly appreciated! Thanks in advance, Geertje -- Dr. Geertje van der Heijden __ R-help@r-project.org mailing list https://stat.ethz.ch

[R] bootstrap confidence bands

Hi all, I have bootstrapped my weighted regression equation using the following formula and the package boot to obtain bootstrap confidence intervls for my parameters: >drought <- read.table("D:/drought080525.txt", header=T) >regres <- function(x, indices) { >x <- x[indices,] >coef(lm(x$AGB ~ x$

[R] Spatial autocorrelation

ation in the residuals is obviously violated. Does anyone have any ideas how to incorporate these spatial effects in my analysis? I have been reading up on autoregressive techniques, but I am not sure if it works with more than one plot. All help is greatly appreciated! Many thanks, Geertje va

Re: [R] Spatial autocorrelation

Hi, Thanks to everyone for their advice! It was really helpfull. Geertje Geertje van der Heijden PhD student Tropical Ecology School of Geography University of Leeds Leeds LS2 9JT Tel: (+44)(0)113 3433345 Email: [EMAIL PROTECTED] From

[R] Help needed on calculation of Moran's I

Can anyone tell me where I went wrong or if there is another way to generate a nb list? Many thanks, Geertje Geertje van der Heijden PhD student Tropical Ecology School of Geography University of Leeds Leeds LS2 9JT Tel: (+44)(0)113 3433345

Re: [R] Help needed on calculation of Moran's I

st for spatial autocorrelation in your residuals or have I misinterpreted the working of Morna's I? Or is there a better way to calculate it then I have done so far? Any help on this will be greatly appreciated! Many thanks, Geertje ~~~~ Geertje van der Heijden PhD student Tropical Ecology