similar to: Error formal argument "softmax" matched by multiple actual arguments

Hi R help, I run my data in nnet with skip layer, factor response (with 0 & 1 values) and explicitly put softmax=T to compare the result of the default nnet with no softmax specification. I assume this should give me the same result. I got the result the default one, but not the softmax version and I got the error message that I did not quite understand. test6.nn.skipT.softm.Yfac <-

Dear all, I wanted to know the processes running inside domU from dom0. Is it possible? if yes,how to know? Thanks & Regards, Yashwanth _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

Hello, I am trying to impute data with the mi() function (mi package) and keep receiving an error message. When imputing the variable, "sex," the mi() function accesses the mi.categorical() function, which then accesses the nnet() function. I then receive the following error message (preceded by my code below): > imputed.england=mi(england.pre.imputed, n.iter=6, add.noise=FALSE)

Hi all, The dict package provides a dictionary (hashtable) data structure much like R's built-in environment objects, but with the following differences: - The Dict class can be subclassed. - Four different hashing functions are implemented and the user can specify which to use when creating an instance. I'm sending this here as opposed to R-packages because this package will

Hi I have installed xen, kernel-xen , virt-manager and rebooted on xen kernel.When I do an ifconfig I get details of eth0,eth1,eth2 ,lo and virbr0. when i tried to create a guest using virt-manager ,I get "Error: Device 0 (vif) could not be connected. Hotplug scripts not working." i get same error when try to create guest using xm create. Please help me how to proceed. Thanks,

Hi, I'm using the add-on package "sound".I have the following > q<-loadSample("a.wav") > plot.Sample(q,axes=FALSE) this gives me the error. Error in plot.default(sound(s)[1, ], type = "l", col = "red", ylim = c(-1, : formal argument "axes" matched by multiple actual arguments I'm guessing the package has some predefined

Hi, very sporadic and non-reproducible, I get the following type of errors: Error in get(name, envir = envir) : formal argument "envir" matched by multiple actual arguments Error in exists(cacheName, envir = envir, inherit = FALSE) : formal argument "envir" matched by multiple actual arguments Error in paste(..., sep = sep) : formal argument "sep" matched by

RSQLite 0.6-7 has been uploaded to CRAN and should hit a mirror near you in the next few days. This version changes the behavior of the dbGetQuery method to make it more consistent with dbSendQuery. Specifically: 1. dbGetQuery now closes a complete result set as dbSendQuery does. 2. If there is an incomplete result set open, dbGetQuery still opens a new temporary connection, but now issues

RSQLite 0.6-7 has been uploaded to CRAN and should hit a mirror near you in the next few days. This version changes the behavior of the dbGetQuery method to make it more consistent with dbSendQuery. Specifically: 1. dbGetQuery now closes a complete result set as dbSendQuery does. 2. If there is an incomplete result set open, dbGetQuery still opens a new temporary connection, but now issues

Hello, Can anyone give me a pointer where to find the implementation code for binding values to formal arguments in functions? For example, if we have a function f <- function(x,y)... and f(1,2) is called, I want to find the code that binds 1 to x when evaluating f(1,2). I tried eval.c but it's too long and I was lost... Thanks! -- Yi

I am attempting to use optim to solve a neural network problem. I would like to optimize coefficients that are currently stored in a matrix Y=270 x 1 X= 27- x 14 b1= 10x14 b2= 11x1 V= 10 x 14 set of prior variances. I have the following function: posterior.mode1=function(y,X,b_0,b2,V) { log.like=function(b1) { a_g=compute(b1) z_g=tanh(a_g); z_g=cbind(1,z_g)

Hello all, Ive been playing with nnet (package 'nnet') and Ive come across this problem. nnet doesnt seems to like to have more than 1000 weights. If I do: > data(iris) > names(iris)[5] <- "species" > net <- nnet(species ~ ., data=iris, size=124, maxit=10) # weights: 995 initial value 309.342009 iter 10 value 21.668435 final value 21.668435 stopped after 10

Hi list, This looks similar to the problem reported here https://stat.ethz.ch/pipermail/r-devel/2006-April/037199.html by Henrik Bengtsson a long time ago. It is very sporadic and non-reproducible. Henrik, do you remember if your code was using reg.finalizer()? I tend to suspect it but I'm not sure. I've been hunting this bug for months but today, and we the help of other Bioconductor

My question is, how to compute hazard function(H(t)) after building the coxph model. I even aware of the terminology that differs from hazard function(H(t)) and the hazard rate(h(t)). Here onward I wish to calculate both. Here what I have done in two different methods; ##########################################################################################

Hi all, I am imputing missingness of  90 columns  in a  data frame using mice. But "mice" gives back :  Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE,  :   too many (1100) weights Any idea to solve this error is welcome, Anera [[alternative HTML version deleted]]

Hi, I was wondering if anyone has played around this this package called "rdict"? It attempts to implement a hash table in R using skip lists. Just came across it while trying to look for simpler text manipulation methods: http://userprimary.net/posts/2010/05/29/rdict-skip-list-hash-table-for-R/ Cheers, Paul [[alternative HTML version deleted]]

I am trying to use the mi package to impute data, but am running into problems with the functions it calls. For instance, I am trying to impute a categorical variable called "min.func." The mi() function calls the mi.categorical() function to deal with this variable, which in turn calls the nnet.default() function, and passes it a fixed parameter MaxNWts=1500. However, as

Saludo gente, antes que nada gracias por la ayuda que puedan aportarme, soy iniciante en R, estoy usando el paquete Mice para realizar imputaciones múltiples sobre variables en su mayoría categóricas. El problema está que cuando expresó este comando imp <- mice(dataset,method="polr",maxit=1) donde el dataset es un data.frame me tirá este error : iter imp variable 1 1 pial1a

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New major versions of the caret packages (caret 3.37, caretLSF 1.23 and caretNWS 0.23) have been uploaded to CRAN. caret is a package for building and evaluating a wide variety of predictive models. There are functions for pre-processing, tuning models using resampling, visualizing the results, calculating performance and estimating variable importance. caretNWS and caretLSF are two parallel