Displaying 20 results from an estimated 1000 matches similar to: "function pointers?"
2016 Jun 30
2
Calling C implementations of rnorm and friends
Hi all,
Looking at the body for the function rnorm, I see that the body of the
function is:
.Call(C_rnorm, n, mean, sd)
I want to implement functions that generate normal (and other) random
variables. Now, I understand that I can perfectly well just call the R
wrapper for these functions and that will be almost indistinguishable for
most purposes, but for whatever reason I wanted to try and
2016 Jul 01
2
Calling C implementations of rnorm and friends
Gabriel,
Thanks for that! I guess I really should have figured that one out sooner,
huh?
I understand why that wouldn't be CRAN-compliant. But then, what *is* the
proper way to do it? Is there any way I can call unexported functions from
another package and have it accepted by CRAN?
Also, if I instead re-write the random variable generating functions, do
you have any idea of where the
2016 Jul 01
1
Calling C implementations of rnorm and friends
Well,
For this particular use case why not just transform the parameters at the R
level and then call the existing function? Is there not a closed form
mapping?
~G
On Jul 1, 2016 2:50 PM, "Joshua Ulrich" <josh.m.ulrich at gmail.com> wrote:
> On Fri, Jul 1, 2016 at 6:13 AM, Luis Usier
> <luis.henrique.usier at gmail.com> wrote:
> > Gabriel,
> >
> >
2013 Sep 04
3
Fwd: Bienvenido a la lista de distribución R-help-es
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
2004 Mar 10
2
R CMD check errors
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
2008 May 23
1
Evaluation "conflict" in combination of replicate() and rexp()as variable inside a function
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
2011 Sep 21
2
problem with function "Truncate" in package "distr"
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))
2004 Jul 06
1
questions about setMethod("Arith", ...)
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
2013 Sep 03
5
Bienvenido a la lista de distribución R-help-es
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,
1999 Nov 12
1
R-0.65.1 Startup
Dear R users,
I have noticed that my R startup is extremely slow. It takes almost 3
minutes from "double-click" to R prompt. I have been running R-0.64.1 till
recently and it took about 30 sec. I still have access to R-0.64.1. When I
started it up, it took about 25 sec. Can anyone tell me if this is a bug in
R or a problem with my machine?
Note: This is after bootup with R being the
2000 Nov 09
3
maximum of nsize=20000k ??
Dear R-ers,
somehow it is not possible to increase nsize to more than
20000k. When I specify e.g.
> R --vsize=10M --nsize=21000K
the result is:
free total (Mb)
Ncells 99658 350000 6.7
Vcells 1219173 1310720 10.0
Maybe I have overlooked s.th....
Marcus
--
+-------------------------------------------------------
| Marcus Eger
| E-Mail: eger.m at gmx.de (NEW)
|
2018 Apr 18
2
odd assignInNamespace / setGeneric interaction
A coworker got tired of having to type 'yes' or 'no' after quitting R: he
never wanted to save the R workspace when quitting. So he added
assignInNamespace lines to his .Rprofile file to replace base::q with
one that, by default, called the original with save="no"..
utils::assignInNamespace(".qOrig", base::q, "base")
2007 Oct 28
1
tree problem
I am trying to use tree to partition a data set. The data set has 3924
observations. Partitioning seems to work for small subsets of the data,
but when I use the entire data set, no partitioning occurs. The
variables are:
RESP respondent to a survey (0 = not a respondent, 1 =
respondent)
AGE_P Age (continuous)
ORIGIN_I Hispanic Ethnicity (1 = Hispanic, 2 = non-Hispanic)
RACRECI2 Race
1999 May 15
2
vsize and nsize
I am running R version ??? under Redhat 5.2. It seems as though the
--nsize object has no effct on the size of the allocated Ncells as
determined using gc(). Yes, I have that much data....
That is if I envoke R with
R --vsize 100 --nsize 5000000
then type
gc()
I get
free total
Ncells 92202 200000
Vcells 12928414 13107200
Thanks
Tony Long
Ecology and Evolutionary Biology
Steinhaus
2011 Nov 20
2
ltm: Simplified approach to bootstrapping 2PL-Models?
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 <-
2013 Sep 05
2
Pronósticos con modelos robusto de series de tiempo
Alguien me podría sugerir un paquete en R para generar pronóticos con modelos robusto de series de tiempo.
Saludos
Enrique RAMOS
[[alternative HTML version deleted]]
2005 Jul 07
2
r: LOOPING
hi all
i know that one should try and limit the amount of looping in R
programs. i have supplied some code below. i am interested in seeing how
the code cold be rewritten if we dont use the loops.
a brief overview of what is done in the code.
==============================================
==============================================
==============================================
1. the input
2011 Oct 06
1
apply and functions with many arguments
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
2000 Oct 02
3
R vs S-PLUS with regard to memory usage
I am trying to translate code from S-PLUS to R and R really struggles!
After starting R with the foll.
R --vsize 50M --nsize 6M --no-restore
on a 400 MHz Pentium with 192 MB of memory running Linux (RH 6.2),
I run a function that essentially picks up an external dataset with 2121
rows
and 30 columns and builds a lm() object and also runs step() ... the step()
takes forever to run...(takes very
2010 Jan 19
2
Server hanging despite efforts to correct memory limits
My group is working with datasets between 100 Mb and 1 GB in size, using
multiple log ins. From the documentation, it appears that vsize is limited
to 2^30-1, which tends to prove too restrictive for our use. When we drop
that restriction (set vsize = NA) we end up hanging the server, which
requires a restart. Is there any way to increase the memory limits on R
while keeping our jobs from