similar to: presentation of spatial-temporal point processes

Suppose I have a nx2 matrix of data, X, the following code generate density estimation for each column and plot them denlist <- apply(X, 2, density) par(mfrow=c(1,2)) lapply(denlist, plot) Does anyone know how to change the main title of each density plot to "var 1", "var 2" by passing optional argument "main"? I've tried lapply(denlist, plot,

Hi, Is it possible to run R in command line to evalute R expressions and return results to stdout, something like >R CMD -e "R.version$minor" then you got return >"8.1" Or do a simple calculation >R CMD -e "sin(1.2)" >0.932039 Thanks. -- Pingping Zheng Department of Mathematics and Statistics Fylde College Lancaster University Lancaster LA1 4YF

Hello, I maintain a self-made R package under my own home directory "~/.R/library" on our university computer net (SunOS 5.8 system). After updating R to 1.8.0, I found other people cannot access my package any more. They got this error message: Error in library(tb, lib.loc = "/home/fs.hpc/43/zhengp1/.R/library") : This is not a valid package -- no DESCRIPTION exists I set

Hello I run R 1.4.1 on a Windows XP. I have downloaded and installed the tools from http://www.stats.ox.ac.uk/pub/Rtools/tools.zip. I also installed MinGW-1.1 and perl as recommanded at http://www.stats.ox.ac.uk/pub/Rtools/. When I run ...\bin\Rcmd SHLIB hello.cc I got message "/bin/sh.exe" file not exist. I have put unzipped tools.zip at C:\bin and added the path to the system

Howdy, I have read that if you put a URL in the text of a plot being saved into pdf, the result is a functional hyperlink. I am interested in having text in a plot that is linked to a URL, but I would like the text to be something other than the URL. Is this possible? Thank you. - Fincher

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

Dear all, I am trying to fit a generalized linear mixed model to deal with both temporal and spatial pseudorreplication. I have repeated seasonal measurements (3 seasons during 3 years and 2 season during the last year, factor named percod, with 11 levels) of a bird presence/absence (pres.f) on 14 artificial ponds (charca.f). The ponds are integrated in 4 greater spatial units (zepa). I have

Hi, I've got a new dataset which I don't know how to analyze with R. My knowledge about R is limited for this kind of problem. I've tried to find a solution with some spatio temporel packages and lme/lmer functions, but didn't find any similar example. I've got 10 locations on a coast on which the number of walrus was noted. I've got a distance measure between each

Hi, I am new to this list. I have a question regarding including both spatial and temporal random factors in lmer. These two are not nested, and an example of model I try to fit is model1<-lmer(Richness~Y+Canopy+Veg_cm+Treatment+(1|Site/Block/Plot)+(1|Year), family=poisson, REML=FALSE), where richness = integer Y & Treatment = factor Canopy & Veg_cm = numerical, continous

Dear R_help list members!   I’m studding forest carnivores and I have data on resting site selection and use!   I’m trying to model the probability that a forest carnivore might have in be located in a tree hollow (1) (the main resting site selected) rather than elsewhere (0) (other resting site types, dens, nests, etc.). The model should be related with several variables such as for instance:  

Dear list, I have a question on moving color keys when side color bars are added to a heatmap. The R code below produces the color key in the upper left corner. Notice I have added side bars to the heatmap, but how could I move the color key below the image? ------ library(gplots) data(mtcars) x <- as.matrix(mtcars) rc <- rainbow(nrow(x), start=0, end=.3) cc <- rainbow(ncol(x),

---- Original message ---- >Date: Thu, 14 Jul 2005 19:50:41 +0200 >From: Uwe Ligges <ligges at statistik.uni-dortmund.de> >Subject: Re: [R] East Asian language >To: Nan Lin <nlin at math.wustl.edu> >Cc: r-help at stat.math.ethz.ch > >Nan Lin wrote: > >> Dear all, >> >> I just installed R 2.1.1. The installation program automatically

Dear all, I collected my data from the different agricultural fields every week over a period of a month. how can I test for spatial autocorrelation in R with data that are temporally pseudoreplicated? I used lme with correlation=corCompSymm(form=~Date) to model temporal pseudoreplication. Regards, VG

Hello R-users, Does anyone know how obtain the week of a date? (in SPPS the instruction is "xdate.week") Thanks, Juan Ramon -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

Hola, Espero que todos estén muy bien. Les cuento la situación: En estos momentos estamos trabajando en un proyecto sobre el modelado de unas series de tiempo semanales y estamos confeccionando un proceso de forma tal que cada semana solo hay que ejecutar un par de guiones que nos da el pronóstico de las 3 o 4 semanas siguientes. Con esta forma de trabajar se está apuntando a la automatización

Hi, I'm currently R porting SF Mersenne Twister algorithm of Matsumoto and Saito. To get the full power of their code, I want to use their fonction fill_array32 which need aligned memory. That is to say I need to use the C function memalign on windows, posix_memalign on linux and classic malloc on Mac OS. In 'writing R extenstion', they recommand to use R_alloc function to

Hi, I'm currently R porting SF Mersenne Twister algorithm of Matsumoto and Saito. To get the full power of their code, I want to use their fonction fill_array32 which need aligned memory. That is to say I need to use the C function memalign on windows, posix_memalign on linux and classic malloc on Mac OS. In 'writing R extenstion', they recommand to use R_alloc function to

Dear R users, I have been doing some eof analysis using princomp function, then the eof results were rotated with varimax and promax functions. Those functions are working fine. However, after their uses, I cannot find how to obtain the temporal evolution and the variance of the obtain components, as varimax and promax does not have the arguments $scores and $sdev. If any body, know how to

Hi, this is a newbie question. Would it be able to convert e.g. annual time series of flow data (or an index series) into quarterly data using interpolation splines by means of an existing R-function? The problem is, that the average value of the computed quarterly values must be the annual value, i.e. the spline should cross the annual values (in a stairs-line plot) in the middle of every annual

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