similar to: when setting environment: target of assignment expands to non-language object

Hi, I have been using the function lme() of the package nlme to model grouped data that is auto-correlated in time and in space (the data was collected on different days via a moving monitor). I am aware that I can use the correlation classes corCAR1 and corExp (among other options) to model the temporal and spatial components of the auto-correlation. However, as far as I can tell, I can only

Hello, I am having a problem specifying the correlation structure in lme which leads to the error: Error in getCovariate.corSpatial(object, data = data) : Cannot have zero distances in "corSpatial". I have specified a grouping variable which is the only fix I could find by searching this error on R-help. ISee the below example. When my samples (tran) - which are transects

I noticed that ?corClasses in package nlme does not list corSpatial among the standard classes. This might either be intentional because corSpatial is not "standard" , or it might be simply an oversight that needs correcting. ------------------------------------------ Robert W. Baer, Ph.D. Professor of Physiology Kirksville College of Osteopathic Medicine A. T. Still University of

Dear listers, I am trying to model the distribution of fox density over years in the Doubs department. Measurements have been taken on 470 plots in March each year and georeferenced. Average density is supposed to be different each year. In a first approach, I would like to use a general model of this type, taking spatial correlation into account:

I have spatial data on a sphere (the Earth) for which I would like to run an gls model assuming that the errors are autcorrelated, i.e. including a corSpatial correlation in the model specification. In this case the distance metric should be calculated on the sphere, therefore metric = "euclidean" in (for example) corSpher would be incorrect. I would be grateful for help on how to

I am using R 2.0.2 on a WinXP I am trying to get the code of the Kruskal-Wallis test but > kruskal.test function (x, ...) UseMethod("kruskal.test") <environment: namespace:stats> > ls(3) [1] "acf" "acf2AR" "add.scope" .............. [181] "kruskal.test" "ks.test"

I'm running the following code numbers <- 1:50 for (i in 1:50) assign(paste("model",numbers[i]),i)<-(lm(temp$Overall.Scaled.Score~temp$raw.score)) where I want R to create 50 different models-1:50, but get the following error message "target of assignment expands to non-language object". I've tried it with

Hi there, I cannot find a detailed explanation to the following error message: > colnames(matrix(1:10, ncol = 2)) <- c("X", "Y") Error in colnames(matrix(1:10, ncol = 2)) <- c("X", "Y") : target of assignment expands to non-language object However, when I do the following things, the error message disappear: > z <- matrix(1:10, ncol =

Hi everyone, I have a problem to assign a value with tcl/tk ths is the code ( it should be simple to understand) : library(tcltk) valA<-tclVar("0") valB<-tclVar("0") valC<-tclVar("0") id<-"A" out<-"1" out2<-"2" print(paste("tclvalue(val",id,")",sep="")) # ok

Hi, On Windows, with last R-devel tarball (r40647) from ftp://ftp.stat.math.ethz.ch/Software/R/R-devel_2007-02-04.tar.gz I get the following build error: E:\biocbld\bbs-2.0-bioc\R\src\gnuwin32> make ... ... ---------- Making package utils ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata installing R files Error in namespaceExport(ns, exports) :

Full_Name: Mark Bravington Version: 2.0.1 OS: Windows XP Submission from: (NULL) (140.79.22.104) 'getAnywhere' crashes when its argument starts with a period: > getAnywhere( '.onLoad') Error in exists(x, envir, mode, inherits) : invalid first argument One fix might be to replace the line if ( !is.null(f <- getS3method(gen, cl, TRUE))) { with if ( nchar( gen)

tl;dr: S3 lookup no longer works in custom non-namespace environments as of R 3.6.1. Is this a bug? I am implementing S3 dispatch for generic methods in environments that are not packages. I am trying to emulate the R package namespace mechanism by having a ?namespace? environment that defines generics and methods, but only exposes the generics themselves, not the methods. To make S3 lookup work

Dear List, This may be related to this email thread initiated by Ben Bolker last month: https://stat.ethz.ch/pipermail/r-devel/2011-July/061630.html In answering this Question on StackOverflow http://stackoverflow.com/q/7195628/429846 I noticed that `methods()` was not listing some S3 methods for `plot()` provided by the mgcv package. At the time I wanted to check the development version of R as

To Whom It May Concern: I want to read in an S-PLUS data dump and I used > data.restore("filepath/filename") (in R 2.5.1 for Windows 95 and later) and I get the message Error: could not find function "data.restore" I have also tried read.S() and read.dta() with the same result. I cannot find any of these functions in the R Help for package base, although data.restore()

im using plclust and want the labels to be different colors. i took a look at getS3method("plot","hclust") and saw a call to .Internal. i looked at the help on .Internal and dont know where to go next. any help appreciated! thanks, rafael

Hi. I'm trying to perform what should be a reasonably basic analysis of some spatial presence/absence data but am somewhat overwhelmed by the options available and could do with a helpful pointer. My researches so far indicate that if my data were normal, I would simply use gls() (in nlme) and one of the various corSpatial functions (eg. corSpher() to be analagous to similar analysis in SAS)

Hi, I am working with the package nlme, and I tried creating a new correlation class (which, according to the help pages, is possible if you write a few new method functions). Anyways, I think I am 99% of the way there, but I have a recurring problem with R crashing on seemingly innocuous statements (I have set debug() on nearly every function, so I can see where it is failing). For instance,

Hope one of you could help with the following question/problem: We would like to explain the spatial distribution of juvenile fish. We have 2135 records, from 75 vessels (code_tripnr) and 7 to 39 observations for each vessel, hence the random effect for code_tripnr. The offset (‘offsetter’) accounts for the haul duration and sub sampling factor. There are no extreme outliers in lat/lon. The model

Hi all, I have been attempting this repeated measure analysis where correlation among observations (within each subject) is spatial. My command is: >fdat.lme1<-lme(Lint~Rep+Treatment,data=fdat,random=~1|fldPos,correlation=corLin(form=~lat+lon)) It is generating follwoing error: Error in getCovariate.corSpatial(object, data = data) : Cannot have zero distances in "corSpatial"

I am trying to write a modified function to plot an rpart object. By using getS3method I can see the plot and text code that I want to modify. Since I don't want to modify the package, I create a new function to plot the rpart object. The problem is that the original function calls many rpart specific functions that are only visible inside the rpart namespace. Therefore, when I call my