[R] Help needed regarding dlm model on stats.stackexchange

Dear all, I have created a time varying parameters regression. When I do that I have a parameter which is AR1. I am not able to recover this parameter. My query is posted here : https://stats.stackexchange.com/questions/377295/unable-to-recover-time-varying-ar1-parameter-from-state-space-model

[R] TrendRaster function

Dear all, I am trying to run the codes of "greenbrown" package for detection in raster time serie. However the error below reported occurs. # library(greenbrown) data(ndvimap) ndvimap plot(ndvimap,8) # calculate trend: annual aggregation method AATmap <- TrendRaster(ndvimap$X1982.01.01,

Re: [R] Question Mixed-Design Anova in R

Dear John and Peter, Thank you both for your answers. I am going to try the solutions you gave me! Thanks again, Lisa From: Fox, John Sent: 23 November 2018 16:54:49 To: Lisa van der Burgh Cc: r-help@R-project.org; peter dalgaard Subject: RE: [R] Question

Re: [R] warnings when using binomial models and offset

You should post this on the r-sig-mixed-models list, which is (obviously) specifically concerned with mixed models, and where you are more likely to find the expertise and help you seek. Cheers, Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking

[R] warnings when using binomial models and offset

Hello everyone I'm trying to model fish capture success using length, velocity and group composition as explanatory variables, density as an offset variable, and fish.id. as random effect. I'm getting the follow warnings:

Re: [R] Implementation of the "Shuffled Complex Evolution" (SCE-UA) Algorithm

Virus-free. www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

[R] [R-pkgs] New package pivmet: relabelling and K-means seeding via pivotal methods

Dear R users, I am glad to announce the release (version 0.1) of the pivmet package, which proposes some pivotal methods in order to: * undo the label switching problem which naturally arises during the MCMC sampling in Bayesian mixture models [pivotal relabelling] (Egidi et al.

Re: [R] Question Mixed-Design Anova in R

Dear Lisa, > -Original Message- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of peter > dalgaard > Sent: Friday, November 23, 2018 10:16 AM > To: Lisa van der Burgh <40760...@student.eur.nl> > Cc: r-help@R-project.org > Subject: Re: [R] Question Mixed-Design Anova in R >

[R] question about R

Dear all, I have a problem which I have stucked for a while and I didn't find any solution. Would you please take your time and see if you could help me for the following R code. I am using Survival analysis to fit the distribution to my data. My data ranges changes from smaller than 0 to a

Re: [R] Question Mixed-Design Anova in R

You seem to be bringing in a ton of stuff without looking at features in base R... Check help(mauchly.test) help(anova.mlm) and examples therein. There are also options in the "car" package. -pd > On 23 Nov 2018, at 11:43 , Lisa van der Burgh <40760...@student.eur.nl> wrote: > > Hi

[R] R 3.5.2 scheduled for December 20

Full schedule available on developer.r-project.org -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd@cbs.dk Priv: pda...@gmail.com

Re: [R] detecting measurement of specific id in column in R

Hi It could be done by ave function if you prepare chamber column to such task library(zoo) #make new column ch rrdf$ch<-rrdf$chamber #change what is not IN to NA rrdf$ch[which(rrdf$chamber!="IN")]<-NA #make distinct identifier for each IN chunk rrdf$ch[which(rrdf$chamber=="IN")]<-paste("IN",

Re: [R] detecting measurement of specific id in column in R

Dear all, dear Jim, thanks so much for your efforts! The code seems to work well :) All the best, Vicci Am Do., 22. Nov. 2018 um 23:34 Uhr schrieb Jim Lemon : > Hi Vicci, > It's very clunky, but I think it will do what you want. > rrdf<-read.csv(text="No,date,chamber,d13C,ppm_CO2,ppm_13CO2 >

[R] Question Mixed-Design Anova in R

Hi Everyone, I have a question about Mixed-Design Anova in R. I want to obtain Mauchly�s test of Sphericity and the Greenhouse-Geisser correction. I have managed to do it in SPSS: GLM Measure1 Measure2 Measure3 Measure4 Measure5 Measure6 BY Grouping /WSFACTOR=Measure 6 Polynomial