similar to: Using sweave

I am attempting to develop a multiple regression model using selected model variables that should all be treated as numeric (mostly real) values. However, R considers one specific variable "mass" automatically to be of class "factor", probably because "mass" consists of integer values that are repeated. I now want to force R to treat "mass" as a numeric

I have defined a function to compute the value of a beta distribution of the second kind (the existing beta distribution of th stats package is the beta distribution of the first kind). It works perfectly for a single value, but I want to apply it to a vector of 22 000 values. I can use a loop for the calculation of each value but it runs very very slowly. So, what can I change ? Hers's the

I've enconuntered this problem with the last cran version of geoR: > library(geoR) > day <- rep(1:2, each=5) > coords <- matrix(rep(runif(10),2), 10, 2) > data <- rnorm(10) > data[1] <- NA > as.geodata(cbind(coords, data, day), realisations=4) as.geodata: 1 points removed due to NA in the data Errore in as.geodata(cbind(coords, data, day), realisations = 4) :

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R Experts, I'm looking for some help with the geoR package. I'm trying to krig some data without using a global neighborhood. I would like to set my moving neighborhood to a distance, say 100 meters, where I know my data is spatially correlated. I have tried the ksline function, but that only allows my moving neighborhood to be set to a number of data points. But, since my data

Dear R users, The parameters xaxs and yaxs (function par, package graphics) seem not to work with the function hist (package graphics), even when the parameters xlim and ylim are defined. Is there any way to make yaxs="i" and xaxs="i" work properly with the function hist, mainly to produce histograms that "touch" the horizontal axis? The R documentation and the R

Dear R list, I've just installed R and then followed the instructions to install the package "geoR" from within R by using the following line of code: install.packages("geoR", contriburl = "http://www.est.ufpr.br/geoR/windows") This installed okay under the folder C:\documents and settings\ ... But when I follow the instructions in the illustrative session

Hi all! Does anyone knows if it exists a "symbolic math" package in R, that allows to compute derivatives, integrals, etc.? Does exist a freeware version of Maple? Cheers, Marco [[alternative HTML version deleted]]

I'm using R for Mac OSX version 1.14 (2129) and the geoR package version 1.6-5 (the current version in the R repository). I'm running R in OS 10.4.6 on a Mac G4 iBook (933MHz, 640 MB DDR SDRAM). I searched the R archive and did not find a posting on this issue. I want to use the variog and variog4 functions of geoR to characterize the pattern of spatial autocorrelation of tree

Hi, I made a package on a linux box. All worked fine. The package contains only R code (no C). I then wanted to make a zip file so that I could test the package on a windows machine. I have tried all the obvious ways to do this (and even some that are not!), but to no avail. The only instructions I find about building packages for windows (e.g. mypkg.zip) seem to imply that the build be done

Hi I am struggling to fit a non-linear trend using the likfit function in geoR. Specifically I want a sigmoidal function, something like SSfpl in the nls package to fit the trend. But it seems trend.spatial in geoR only works with lm or glm type models. Any ideas how I can specify the model to calculate the kriging parameters using REML, including the parameters of a sigmoidal trend function

Mac OS 10.3.5, R 2.0.0 latest version of geoR I have an incomplete 5 x 20 spatial array of samples (60 out of 100 possible locations) for which I would like to calculate directional variograms using variog4(). Unfortunately, I can't get it to return all 4 directions. It returns variograms for 45, 90, and 135 degrees, omitting 0 degrees (pi/4, pi/2, 3pi/4, omitting 0). If I specify 0

Dear List: I am estimating a gls model and am having to make some rather unconventional modifications to handle a particular problem I have identified. My aim is to fit a GLS with an AR1 structure, obtain the variance-covariance matrix (V), modify it as needed given my research problem, and then reestimate the GLS by brute force using matrix operations. All seems to be working almost perfectly,

Hi, I want to insert a small figure into a bigger plot. I saw people are doing this all the time, but I just could not figure out how to do it in R. Thanks for your help! Jinfeng Zhang

Hi, I'm using the function krige.conv from package geoR but I'm getting a warning that I do not understand: Warning messages: 1: NaNs produced in: sqrt(variance) 2: NaNs produced in: sqrt(variance) I'm performimg an ordinary kriging with a log transform (lambda=0). Does anyone knows where this comes from ? Thanks and regards EJ

Dear GeoR-er, If I use the variog function in the latest release of geoR, the first lag is always ignored. For instance, if you read in geodata, calculates the variogram using the variog function and give in a uvec like uvec=seq(0,max,by=2.44), it only starts giving results from distance=4.88 and ignores 2.44! This wasn't the case in former versions of geoR. Is this done on purpose? Why?

Friends: 1. Is it possible to import data from excel and/or access to R? How? 2. Is it possible to import data from a txt file? How? Thanks in advance, Ricardo. [[alternative HTML version deleted]]

Dear R users, I have R 1.8.0. and, when I try to load the package "multcomp", I have an error message saying that this package was developed under R 1.8.1. So my question is "How to update R" ? Should I uninstall my version of R to install the new one or is there a simpler way to update it ? Than you for your answer. Sincerely, Renaud.

Dear all, When a conventional kriging and then a contour plot is limited with a polygon (as possible with krige.conv and contour.kriging), the polygon border is displayed in black by default. > kc<-krige.conv(CZdata,loc=pred.grid,borders=czpoly,krige=krige.control(obj.m=ls)) > plot(CZcoord,xlab="x",ylab="y",type="n",asp=1) >

Is there a function like "is.there" such that is.there ( a ) returns TRUE is object 'a' is in the current environment and FALSE otherwise? Thank you. Francisco J. Molina