similar to: How to customize the list of exported functions in a shared library

Dear all May I know how to solve this problem? I have encountered this problem after I have logged out from Rstudio. Thank you Warning: namespace ?caret? is not available and has been replaced by .GlobalEnv when processing object ?fit.ann? Warning: namespace ?ggplot2? is not available and has been replaced by .GlobalEnv when processing object ?p1? Warning: namespace ?plotly? is not available and

Hi I would like to know how I can change the name of a model for each trainning cycle of a model. I work with the RSNNS package and to build a neural network, I used : for (i in 5:30) .... model_ANN <- mlp(X, Y, size=n,....) # where size is the number of neurons in the hidden layer but I need to save each time that the model that is build (the end of each cycle), e.g., when i = 5, I need to

Hi all, I am trying to develop a neural network with single target variable and 5 input variables to predict the importance of input variables using R. I used the packages nnet and RSNNS. But unfortunately I could not interpret the out put properly and the documentation of that packages also not giving proper direction. Please help me to find a good package with a proper documentation for neural

You haven't given much context, but these error message can come from load() when loading a *.RData file that contains objects reference packages not installed in the current installation of R. When R starts it will load a ".RData" file if one exists, this file is typically created when R shuts down and you ask it to save the current session. If you recently upgraded R you the

Previously, the R software was perfectly run without error and I am not sure why this happens. I have not installed any new R. If the *RData file is the problem, what should I do? Thank you On Fri, Mar 23, 2018 at 7:58 AM, William Dunlap <wdunlap at tibco.com> wrote: > You haven't given much context, but these error message can come from > load() when loading a *.RData file that

Hello All! I am training to train a NN with function train() after splitting data with the function splitForTrainingAndTest(). The split is ok (checked it), but when I get a try on training I get this message: Error in UseMethod("train") : no applicable method for 'train' applied to an object of class "c('double', 'numeric')" The input data are

You are right, maintainer does keep a list of model's packages. So how do I use a variable instead of $adaboost$? getModelInfo()$adaboost$library Also, server not found: http://rwiki.sciviews.org/doku.php?id=getting-started:reference-cards:getting-help On Tue, Aug 1, 2017 at 11:46 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > I have provided you all the

You should read the section on Indexing in the Introduction to R document that comes with R, regarding $ and `[[`. -- Sent from my phone. Please excuse my brevity. On August 1, 2017 2:44:18 AM PDT, Dimlak Gorkehgz <rain8dome9 at gmail.com> wrote: >You are right, maintainer does keep a list of model's packages. > >So how do I use a variable instead of $adaboost$? >

I am trying to figure out the options for hiddenActFunc..any help would be great!! -- View this message in context: http://r.789695.n4.nabble.com/What-are-the-other-Options-for-hiddenActFunc-in-the-RSNNS-r-package-tp4693313.html Sent from the R help mailing list archive at Nabble.com.

gcc -g -O2 -o widl client.o hash.o header.o proxy.o server.o typegen.o typelib.o utils.o widl.o write_msft.o parser.tab.o lex.yy.o -L../../libs -lwpp -lwine_port -lfl ../../libs/libwpp.a(lex.yy.o)(.text+0x5e8): In function `_yy_dummy_uses_of_static_functions_b2f4_517d_02ff_b30c_3e5a_47d7_aaa3_3b5d_': /usr/local/rpm/wine-0.9.6/libs/wpp/lex.yy.c:3357: multiple definition of

It would be nifty to incorporate this into R or into an R package: http://sourcefrog.net/projects/natsort/

Rprof seems to ignore all time spent inside system() calls. E.g., this simple example actually takes about 10 seconds, but Rprof thinks the total time is only 0.12 seconds: > Rprof("sleep-system.out") ; system.time(system(command="sleep 10")) ; Rprof(NULL) user system elapsed 0.000 0.004 10.015 > summaryRprof("sleep-system.out")$by.total

For many years, when my R process starts up I've been automatically setting my preferred default plot colors, basically like so: my.colors <- c("black" ,"red" ,"gold" ,"sky blue" ,"green" ,"blue" ,"orange" ,"grey" ,"hot pink" ,"brown" ,"sea green" ,"cyan"

Hola, Esta es una forma de hacerlo... Mira que lo primero que he modificado es el fichero "x.csv" para sustituir los espacios en los nombres por "_". Y también he quitado los acentos y las eñes... He utilizado el paquete RNNS y la función "mlp()" para ajustar la red. #------------------------------------------- > x <- read.csv("x.csv",

I recently started using R 2.7.2, and noticed a surprising change in the behavior of var() on NA data: R 2.6.1 (Patched), 2007-11-26, svn.rev 43541, x86_64-unknown-linux-gnu: > stdev(rep(NA,3), na.rm=F) [1] NA > stdev(rep(NA,3), na.rm=T) [1] NA > var(rep(NA,3), na.rm=T, use="complete.obs") [1] NA R 2.7.2 (Patched), 2008-09-02, svn.rev 46491,

hi all , has anyone tried to predict a univariate time series by a neural networks packages ? please help me in this problem . I am new in R and I did not found any document that explains this problem. thanks in advance David [[alternative HTML version deleted]]

I want to create my own "[" function (for use on vectors, matrices, arrays, etc.), which calls the stock R "[", does some additional work, and then finally returns the modified result. But, how do I properly call the stock R "[" function? It takes a varying number of positional arguments, and its R-level closure is just: .Primitive("[") It's

On Linux x86-64 (Ubuntu 6.06), the latest R sources from the Subversion trunk fail to build with the following "recompile with -fPIC" error: $ ./configure --with-x=yes --prefix=$inst_dir --enable-R-shlib --with-tcltk=/usr/lib/tcl8.4 --with-tcl-config=/usr/lib/tcl8.4/tclConfig.sh $ make /usr/bin/ld: ../appl/approx.o: relocation R_X86_64_32 against `a local symbol' can not be

Hi, Has anyone succeeded in cross-compiling R to Linux on an ARM CPU? If so, can you share a little about your toolchain & build process? Thanks! [[alternative HTML version deleted]]

One of the great things about R is how readable and re-usable much of its own implementation is. If an R function doesn't do quite what you want but is close, it is usually very easy to read its code and start adapting that as the base for a modified version. In the 2.x versions of R, that was the case with read.table(). It was easy to experiment with its source code, as it all worked just