similar to: Can not invoke maxent() of library(dismo) in GNU linux

Dear R-helpers, I can not invoke maxent() in Mac OSX. Could you give me any directions on that? Thank you in advance. Here is my info: # (1) the error > me <- maxent(predictors, occtrain, factors='biome') me <- maxent(predictors, occtrain, factors='biome') Error in .jcall(mxe, "S", "fit", c("autorun", "-e", afn, "-o",

Dear all, when using .jinit() I get the message .jinit() : Cannot create Java virtual machine (-1). The details: I am using the Dismo package.Dismo has a function 'maxent' that communi-cates with this program(MaxEnt).MaxEnt is available as a stand-alone Java program. It is normal when I execute the command : "jar <- paste(system.file(package="dismo"),

Dear all, I get the error when I use maxent.jar: Error .jcall(mxe, "S", "fit", c("autorun", "-e", afn, "-o", dirout, : java.lang.NoSuchMethodError: density.Params.readFromArgs([Ljava/lang/String;)Ljava/lang/String; sessionInfo() result: R version 2.14.0 (2011-10-31)Platform: i386-pc-mingw32/i386 (32-bit)locale:[1]

I was going through this example of maxent use: http://cran.r-project.org/web/packages/maxent/maxent.pdf # LOAD LIBRARY library(maxent) # READ THE DATA, PREPARE THE CORPUS, and CREATE THE MATRIX data <- read.csv(system.file("data/NYTimes.csv.gz",package="maxent")) corpus <- Corpus(VectorSource(data$Title[1:150])) matrix <- DocumentTermMatrix(corpus) # TRAIN/PREDICT

Buenas días me gustaria saber cual es la libreria mas actual que contiene al algoritmo de maxima entropia que permite modelar nichos ecologicos; a su vez que libreria presenta mejor temática en la representacion de mapas. Saludos¡ [[alternative HTML version deleted]]

Hello, I want to use a for loop for repeadely calculating a maxent model (package dismo, function maxent()) which creates an object of the class maxent (S4). I want to collect all the resulting object in a list. I tried to simplify my for loop to explain what I want. There are two problems/questions: 1) How can I create the new variables in the loop (using paste) and assign the objects 2) How

Estimados erreros, Estoy intentando entender como calcula el paquete dismo ( https://cran.r-project.org/web/packages/dismo/index.html) un coeficiente de variación. Os pongo un ejemplo: tmin <- c(10,12,14,16,18,20,22,21,19,17,15,12) # temperatura mínima media mensual de un año tmax <- tmin + 5 # temperatura máxima media mensual de un año prec <- c(0,2,10,30,80,160,80,20,40,60,20,0)

Hola, en la misma definici?n de la funci?n: # P15. Precipitation Seasonality(Coefficient of Variation) # the "1 +" is to avoid strange CVs for areas where mean rainfaill is < 1) p[,15] <- apply(prec+1, 1, cv) Un saludo, Jorge On Martes, 19 de Junio de 2018 13:07:27 Marcelino de la Cruz Rot escribi?: > Hola Jaume: > > Si miras el c?digo de biovars() ver?s que la

savePngCentredAt <- function(address) { require(dismo) x <- geocode(address) range <- as.numeric(x[4:7]) + c(-0.01, 0.01, -0.01, 0.01) e <- extent(range) g <- gmap(e, type = "roadmap") require(digest) png(path.expand(paste('~/public_html/',digest(address, algo='sha1'),'.png',sep=''))) plot(g) dev.off() } The code above

Dear R-helpers, Christoph (author of phyloclim) and Luke (author of tkrplot), I would like to get your helps on installing of phyloclim in Ubuntu linux. It seems a package named 'tkrplot' could not be installed at firstly, then packages depends on it could not be installed latter. As I have tested, installation of phyloclim works smoothly in Mac. I attempted to install these packages in

Hi all ? I am a newbie to R and have had a terrible time trying to figure out how to set up an analysis.? I have installed and loaded the appropriate package (phyloclim), but I do not even know where to begin defining one of the arguments. The usage for the command I?m trying to perform is: niche.equivalency.test(spec, n, maxent, mx = 2000) where the argument? maxent???? is a list containing

Hello. I am trying to use a FORTRAN subroutine from within R (Windows version). This fortran subroutine is compiled using the Open Watcom Fortran compiler and the compiled object file is called ritscale.obj. Following the explanation on pages 193-194 of "The New S language" I use the dyn.load command: > dyn.load("f:/maxent/ritscale.obj") Error in dyn.load(x,

Hey, I am having troubles using the 'predict' function with in the Raster package. I am using pm<-predict(mm, predictors) where mm is the mahalanobis distance and the predictors are a stack of 6 raster layers containing environmental variables. When I try to run the prediction I get the following warning message: Warning message: In layerNames(x): the layerNames function is

Hi, I've got a dataset with 7 variables for 8 different species. I'd like to test the null hypothesis of no difference among species for these variables. MANOVA seems like the appropriate test, but since I'm unsure of how well the data fit the assumptions of equal variance/covariance and multivariate normality, I want to use a permutation test. I've been through CRAN looking at

random selection of cells in raster based on distance from xy locations Hi, I am trying to sample a raster for random cells that occur within a specific distance of point locations. I have successfully found multiple ways of doing this but have memory issues with very large datasets. To overcome this problem I am working with lists. I am now stuck on how to randomlly sample the correct elements

Hello list, I seem to have a problem with the openNLP package, I'm actually stuck in the very beginning. Here's what I did: > install.packages("openNLP") > install.packages("openNLPmodels.de", repos = "http://datacube.wu.ac.at/", type = "source") > library(openNLPmodels.de) > library(openNLP) So I installed the main package as

Dear all, I am currently running an ENFA in R using Adehabitat pkg to assess species distribution and I am really stuck and need some help to finalize my project. I run the ENFA in both original location data and pseudo-absence points (the latter randomly generated using dismo pkg), and now I would like to assess the performance of the ENFA, however, I am not sure about how to tackle this. I

Hi, I am looking for a way to save the result of a function, e.g the lm()-function to a file and reload it afterwards again. I'd like to do that in order to minimize the used memory when running the function in a loop. The actual function I want to store is the evaluate() from the dismo package. I tried it with save() and load() but I am not sure if that is the way I should do it as I

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

Hi R User, I was trying to find a final model in the following example by using the Boosted regression trees (GBM). The program gives the fitted values but I wanted to calculate the fitted value by hand to understand in depth. Would you give moe some hints on what is the final model for this example? Thanks KG ------- The following script I used #----------------------- library(dismo)