similar to: odd assignInNamespace / setGeneric interaction

>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>> on Wed, 18 Apr 2018 14:16:37 -0700 writes: > Hi Bill, > Ideally, your coworker would just make an alias (or shortcut or > whatever) for R that passed --no-save to R. I'll try to look into this > though. > Michael Yes, indeed! As some of you know, I've

Hi Bill, Ideally, your coworker would just make an alias (or shortcut or whatever) for R that passed --no-save to R. I'll try to look into this though. Michael On Wed, Apr 18, 2018 at 1:38 PM, William Dunlap via R-devel <r-devel at r-project.org> wrote: > A coworker got tired of having to type 'yes' or 'no' after quitting R: he > never wanted to save the R

The problem is not specific to redefining the q function, but to the interaction of assignInNamespace and setGeneric. The latter requires, roughtly, that the environment of the function being replaced by an S4 generic is (or is the descendent of) the environment in which it lives. E.g., the following demonstrates the problem % R --quiet --vanilla > assignInNamespace("plot",

In my .Rprofile for Windows, I had the following functions defined to mirror a few features I miss from linux: (a) replace setwd() with a version that stashes the current directory so it can be easily restored (b) writes a short version of the current R directory to the Windows title bar: I can always see where I am, with multiple Rgui windows. (c) creates a cd() shorthand for setwd(), but

Hello, assignInNamespace refuses to assign an object to a name that is not already used in the namespace. Something like this would make it possible: --- src/library/utils/R/objects.R (revision 56024) +++ src/library/utils/R/objects.R (working copy) @@ -252,8 +252,9 @@ stop("environment specified is not a package") ns <- asNamespace(substring(nm, 9L))

I started my laptop, opened a shell and get this error message: R : Copyright 2005, The R Foundation for Statistical Computing Version 2.2.1 (2005-12-20 r36812) ISBN 3-900051-07-0 lines deleted Error in fun(...) : couldn't find function "assignInNamespace" Error: .onLoad failed in 'loadNamespace' for 'Matrix' Fatal error: unable to restore saved data in .RData

Hi, I'm wondering if someone has solved the problem of converting very large integers to hex. I know about format.hexmode and as.hexmode, but these rely on integers. The numbers I'm working with are overflowing and losing precision. Here's an example: x <- "6595137340052185552" # stored as character as.integer(x) # warning about inaccurate conversion

Dear userRs, "playing around" with combinations of replicate() and random number generating functions inside a self-defined "wrapper" function I encounterd a puzzling behaviour. The following are intentionally simple (and rather nonsense-) examples to isolate the relevant aspects. Please, note the seemingly "inconsistent" behaviour for the second call of

Hi, we have some questions concerning the definition of new arithmetic methods. In our package "distr" (on CRAN) we define some new arithmetic methods for "+", "-", "*", "/". After loading "distr" the corresponding arithmetic methods work. Now, if we define a new class and also a new method for one of the arithmetic methods

Hello, I'm getting some error messages from R CMD check I can't deal with. I'm working under Linux with R 1.8.1 The package working directory can be found at: http://www.uni-bayreuth.de/departments/math/org/mathe7/DISTR/distr.tar.gz Here's the 00check.log produced by R CMD check distr * using log directory '/home/tom/studium/R/swp/swp/package/distr.Rcheck' * checking

Hello all, Can someone tell me why the following mixture of two log-normal distributions does not get truncated? What puzzles me is that the function works almost always, but for certain combinations (like the one below), it does not. # R code example library(distr) mix<-UnivarMixingDistribution(Lnorm(3.2,0.5),Lnorm(5.4,0.6),mixCoeff=c(0.3,0.7))

I am trying to get a function written in R that calls a cascade of functions from the graphics package, and I want to eventually call replacements to functions in the graphics package instead of the originals. Specifically, I have a function that calls qqnorm in stats, which calls qqnorm.default in stats, which calls plot in graphics, which calls plot.default and plot.new, and I want my own

Hola, ¿qué tal? Tienes que escribir a la dirección r-help-es en r-project.org, no a las que has usado (que son de administración de la lista). Un saludo, Carlos J. Gil Bellosta http://www.datanalytics.com El día 3 de septiembre de 2013 12:39, Jose Betancourt B. <betanster en gmail.com> escribió: > Quisiera saber en el paquete Epiestim > > Como lograr concatenar dos vectores,

Dear all, I would like to use the following function fitdist(data, distr, method=c("mle", "mme", "qme", "mge"), start=NULL, fix.arg=NULL, ...) for many different distr values like distr=c("norm","lnorm","pois") (just a small example) and take back into a list the parameter name which is what is inside distr plus what the

Dear R-List, to assess the model fit for 2PL-models, I tried to mimic the bootstrap-approach chosen in the GoF.rasch()-function. Not being a statistician, I was wondering whether the following simplification (omit the "chi-squared-expressed model fit-step") would be appropriate: GoF.ltm <- function(object, B = 50, ...){ liFits <- list() for(i in 1:B){ rndDat <-

hi all. perhaps someone can help me with subsetting here............ i'm trying to use the nested() function in the bipartite package. my problem is that i have a list of 10,000 matrices and i want the output to be a vector of the nested() function on each of the 10,000 matrices (so i can use these numbers in a statistical test). here is what i'm working with currently: #to store

Hola Jose, si CONCATENAR significa APILAR, es decir, concantenar verticalmente, por decirlo de algun modo, podrias hacerlo con rbind(): nuevovector <- rbind(vector1,vector2) Si ademas quieres que cada valor de los vectores originales sea identificado en el nuevovector, puedes usar: nuevovector <- stack(vector1,vector2) en este ultimo caso se agrega una columna adicional tipo factor, con

I need a little piece of advice concerning passing data frames into the functions. As I do a lot of similar fits at a time, I'd like to write a small function doing the fits for all relevant variables automatically. However, I usually get error messages of the following kind: (I present here a part of a test code). ##################################################### # Data set:

We have a project that calls for the creation of a list of many distribution objects. Distributions can be of various types, with various parameters, but we ran into some problems. I started testing on a simple list of rnorm-based objects. I was a little surprised at the RAM storage requirements, here's an example: N <- 10000 closureList <- vector("list", N) nsize = sample(x

Dear R users and Dear authors of the distr package and sequels I am trying to use the (very nice) package distrMod as I want to implement maximum likelihood (ML) fit of some univariate data for which I have derived a theoretical continuous density (pdf). As it is a parametric density, I guess that I should implement myself a new distribution of class AbscontDistributions (as stated in the pdf