similar to: Error possibly related with environments/namespace

Hello all: I'm sure this is quite simple, but I tried several options and I still can't get I right. I've got a data.frame and I want to delete all columns of which the sum is zero. Any ideas? Thanks, Frederico Mestre [[alternative HTML version deleted]]

Hello: While running R doing the analysis of my data I (using packages such as BIOMOD or e1071) get the following error as a result of several of my analysis: Error: cannot allocate vector of size 998.5 Mb In addition: Warning messages: 1: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) : Reached total allocation of 4095Mb: see help(memory.size) 2: In array(c(rep.int(c(1,

The legacy R spatial infrastructure packages maptools, rgdal and rgeos will be archived by CRAN on Monday, October 16, 2023; rgrass7 has already been replaced by rgrass and will be archived with the retiring packages. The choice of date matches the previously announced archiving during October 2023, and the specific date matches the release schedule of Bioconductor 3.18 (some Bioconductor

The legacy R spatial infrastructure packages maptools, rgdal and rgeos will be archived by CRAN on Monday, October 16, 2023; rgrass7 has already been replaced by rgrass and will be archived with the retiring packages. The choice of date matches the previously announced archiving during October 2023, and the specific date matches the release schedule of Bioconductor 3.18 (some Bioconductor

Hello all: Is there any way to add points to a point pattern, while keeping a given minimum distance amongst this new points and the pre-existing points? Thanks, Frederico [[alternative HTML version deleted]]

Hello: What I want to do is quite simple, but I can't find a way. I have a data frame with several points (x and y coords). I want to add another column with cluster membership. For example aggregate all the points that stand within a distance of 40 from each other. I've tried using "nncluster" from the package nnclust, but the results are not correct, for some

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Hello, I'd like to automate this script a bit more and cycle several parameters(both the species and the metric). For example where AnnualDepth occurs, I need to process about 12 metrics so instead of writing this entire script 12 times once for each metric I'd like to be able to automatically get another metric. Any suggestion will be greatly appreciated. Currently running Windows

Hi all! Do you know if there is any R function/package that can be used to estimate "logit" models with panel data and forecasting? Thanks, Moysés. -- Moysés Nascimento Bacharel em Estatística/UFES Mestre em Estatística Aplicada e Biometria/UFV Doutorando em Estatística e Experimentação Agropecuária/UFLA moysesnascim@gmail.com [[alternative HTML version deleted]]

Hello everyone, I'm having a big trouble with which seems to be a bug in as.POSIXct() date-time conversion. I have massive GPS datasets in which each location has it's own date and time attribute. As I convert them to POSIXct format, 1300 cases (of about half a million locations) simply return NA values. I picked up a small sample of failed cases and normal cases to demonstrate the

Hi, I wonder if someone can help me. I have built a gam model to predict the presence of cold water corals and am now trying to evaluate my model by splitting my dataset into training/test datasets. In an ideal world I would use the sample() function to randomly select rows of data for me so for example with 936 rows of data in my HH dataset I might say ss <- sample(nrow(HH), size =

Hi, A package verification on recently CentOS 5.1 reveals that some packages is outdated comparing with the 5.0. Here are some examples: 5.0 5.1 tzdata-2007h-1.el5 tzdata-2007d-1.el5 libpng-1.2.10-7.1.el5_0.1 libpng-1.2.10-7.0.2 perl-5.8.8-10.el5_0.2 perl-5.8.8-10 The "updates" directory on CentOS 5.1 repository does

Hello: Sorry, this might look like a beginner question, but I'm just starting to work on the C and R interface. I'm trying to compile a C file (with a function) to load it to an R function but, in the command line I keep getting a lot of errors, like: "C:/Program~1/R/R-215~1.0/include/Rinternals.h:1066:1: error: expected declaration specifiers before 'SEXP'"

Hii rstudio members I am learning rstudio, For my manuscript I am trying to plot CCA using species and environmental data. But I am getting error like Error in cca.default(sptrans, envtrans) : all row sums must be >0 in the community data matrix *My code is like * library(vegan) library(ggplot2) library(dplyr) rassspec<-read.csv("C:/Users/hp/Desktop/R_data/rassspec.csv",

Dear all, I have built glm models based on presences/absences and a number of predictor maps and would like to compute habitat suitability based on the modelled coefficients. I thought this is pretty straight forward and wanted to use predict() and supply the new data in a data frame, with one column for each predictor. However, I do get an error msg warning me that the number of rows for

Hi R user, Could you please give me some hints on how I can convert text in table format in R? I was doing model assessment using dismo package for example: bg <- randomPoints(current, 500) pvtest <- data.frame(extract(current, occtest)) avtest <- data.frame(extract(current, bg)) e2 = evaluate(model, p=pvtest, a=avtest) > e2 class : ModelEvaluation n presences : 10 n

Dear all, we are trying to model some data from rare plants so we always have less than 50 1x1 km presences, and the total area is about 550.000 square km. So we have a real problem, when we perform a GAM, if we consider only the same amount of absences than presences. We have thought to use a greater number of absences but in this case we shoud downweight them. Does anybody know how to use the

Dear R community There is a new version of the openSTARS package (preparing GIS data for stream analysis) available on CRAN. Major updates are: - catch errors arising in GRASS 7.8 due to changes in v.to.db - update setup_grass_environment; there is no need any more to initGRASS before Please also find a detailed description of the package including example code here:

Hi I have 1800 response variables to regress on two factors (latitude and age), what is the script to run all response variables at once instead of writing 1800 models? Thanks R. ________________________________________ L?hett?j?: r-help-bounces at r-project.org [r-help-bounces at r-project.org] k&#228;ytt&#228;j&#228;n Dennis Murphy [djmuser at gmail.com] puolesta L?hetetty: 25.

Dear all, I want to model presence/absence data of tree occurrence using a number of predictor variables. Absences of some sample points are probably wrongly specified (they should be presences) due to land use which can not be incorporated as a predictor because of some sort of arbitrariness. Some trees were logged while others were not but to both cases land use as a category would apply.