similar to: R CMD check fails at package dependencies check on Fedora Core 5, works on other systems

Un saludo R-inómanos: Les escribo porque tengo una duda que no he podido resolver por mis medios y actuales conocimientos. He querido instalar el paquete "ade4" en R (OP linux-ubuntu) pero no he podido por un error que según entiendo está relacionado con una librería. Me permito mostrarles el texto que me aparece luego de tratar de instalarlo desde los repositorios: >

Hi All, I would like to work with symbols referenced by strings: I would like to manipulate data/symbols referencing to them by the string name of the symbol. An example will be clearer. Let's I get a time series through quantmod > getSymbols("GLD") This will create a new symbol GLD with the relevant data. I have tried to rename the column names as follows: >

I use the ugly hack shown below as my .Rprofile (mainly because I couldn't find any other way to spawn a new mozilla window on starting R or calling help.start(), but then send all the help html documents to that new window). With a recent change from a cvs checkout to the released 1.9.0 I find that the new hs() appears if there is nothing of that name in .RData, but if there is the old hs()

Hello, I've been trying to install the fBasics package on an openSuSe 11.3 64bit machine. It gives an error saying: WARNING: *R* *include* *directory* *is* *empty* -- *perhaps* *need* *to* *install* *R*-*devel*.*rpm* *or* similar Yet, R-devel is installed. Other packages work fine. I also tried different ways to install...install.packages() and R CMD INSTALL... The complete message is

I'm tidying up the gld package at the moment, and the following is my best effort at checking if values are outside the range of the function (which is [0,1] in this case). It seems incredibly messy - is there something better? outside.range <- !as.logical(((p<1)*(p>0))|(sapply(p, all.equal,1)=="TRUE")|(sapply(p, all.equal, 0)=="TRUE")) ---- Robert King,

Hi, I have the following function that I want to apply to a list of 14 matrices (1536 x 170) of binary data: DRes <- function(x, nr = 10000, metric = "mixed", ...) { require(analogue) require(ade4) m <- c() for (i in 1:nr) { set.seed(i) x1 <- x[, sample(dimnames(x)[[2]], length(x[1,])/2)] x2 <- x[, !dimnames(x)[[2]] %in% dimnames(x1)[[2]]] d1 <-

Anyone know of a package for numerically estimating lambda(3) and lambda(4) using location, position, skew and kurtosis estimates. I have a distribution and would like to use the gld package to do some simulations of the distribution, but need the lambda estimates to feed into gld. I have a program in Maple, which I may convert to C code for use in R, but before moving down that road I

16396:055d98aa2dd0 almost works but not quite. LDFLAGS_DIRECT means we end up with: gld -melf_i386 -nostdlib -N -Ttext 0x100000 -o hvmloader.tmp hvmloader.o mp_tables.o util.o smbios.o 32bitbios_support.o acpi/acpi.a Specifying a linker script and asking for -nostdlib is obviously contradictory. Removing $(LDFLAGS_DIRECT) fixes the problem. regards john

Dear all, I would be very grateful if you could help me with: Given the regularized gamma function Reg=int_0^r (x^(k-1)e^(-x))dx/int_0^Inf (x^(k-1)e^(-x))dx ; 0<r<Inf (which is eventually the ratio of the Incomplete gamma function by the gamma function), does anyone know of a package in R that would evaluate the derivative of the inverse of Reg with respect to k? I am aware that the

Dear All, Is it possible to simulate an AR(1) process via a distribution? I have simulated an AR(1) process the usual way (that is, using a model specification and using the random deviates in the error), and used the generated time series to estimate 3- and 4-parameter distributions (for instance, GLD). However, the random deviates generated from these distributions do not follow the

Hello, I am trying to run some AMOVA analyses with the amova function in the package ade4. When running the example dataset provided in ade4, I noticed a difference between the published results from the same data (Excoffier et al. 1992) and what ade4 calculates. Below are the data for "within sample/population" from ade4 and from the haplotypic distance matrix in the paper:

Hi All, I am using canonical correspondence analysis to compare a community composition matrix to a matrix of sample spatial relationships and environmental variables. In order to parse out how much variance is explained purely by space (S/E) or the environment (E/S) I am using a conditional (partial) CCA. I want to test significance via Monte Carlo but I can not find a way to do this with a

On http://www.r-project.org/, there is an R script linked to the top graphic, http://www.r-project.org/misc/acpclust.R. This script says it works in R 1.8.1, but in 2.0.1 it gives (me): > source("acpclust.R") Loading required package: ade4 Loading required package: mva Loading required package: RColorBrewer Loading required package: pixmap Loading required package: ade4 Error in

Hello, What am I doing wrong about creating an index for my package documentation? Using 2.9.2, I am checking the gld package. It reports the following (all earlier lines OK): * checking PDF version of manual ... WARNING LaTeX errors when creating PDF version. This typically indicates Rd problems. * checking PDF version of manual without index ... ERROR When I look in the gld.Rcheck

Dear R users, How can I extract the residuals from a pcaiv/rda in ade4? In Vegan there is the residuals() function, giving the approximation of the original data from the unconstrained ordination Is there something similar in ade4? Nikos

Dear R-Users, ade4TkGUI is a new package available on CRAN. It implements a Tcl/Tk graphical user interface (GUI) for the ade4 package. Only the most basic functions of ade4 have a GUI in this first version : classical one-table data analysis methods (PCA, COA, MCA, PCO, etc.), one table with groups of rows (BGA, WGA, DA), and two-tables analysis methods (Coinertia analysis, CCA, PCAIV).

Dear R-Users, ade4TkGUI is a new package available on CRAN. It implements a Tcl/Tk graphical user interface (GUI) for the ade4 package. Only the most basic functions of ade4 have a GUI in this first version : classical one-table data analysis methods (PCA, COA, MCA, PCO, etc.), one table with groups of rows (BGA, WGA, DA), and two-tables analysis methods (Coinertia analysis, CCA, PCAIV).

I want to invoke R on a Linux Web server from Java, in order to analyse data in ways that would take too long to code, and run too slowly, in Java. In particular, to do correspondence analyses. To this end, I've installed R version 2.15.0 on my Web host's x86_64 GNU/Linux machine, and tried using package "ca" to run the "author" example of correspondence analysis

Hello I am trying to evaluate an Incomplete gamma function in R. Library Zipfr gives the Igamma function. From Mathematica, I have: "Gamma[a, z] is the incomplete gamma function." In[16]: Gamma[9,11.1] Out[16]: 9000.5 Trying the same in R, I get > Igamma(9,11.1) [1] 31319.5 OR > Igamma(11.1,9) [1] 1300998 I know I have to understand the theory and the math behind it rather

I would like to randomly shuffle a distance object, such as the one created by ade4{dist.binary} below. My first attempt, using sample(jc.dist) creates a shuffled vector, losing the lower triangular structure of the distance object. How can I Ishuffle the lower triangular part of a distance matrix without losing the structure? Thanks. --Dale x1 <- c(rep(0,4),1) x2 <- c(rep(0,2),rep(1,3))