similar to: Predict.nnet ?

Hi, I just want to point out a discrepancy between the documentation of predict.nnet & the function definition. >?predict.nnet => predict.nnet package:nnet R Documentation Predict New Examples by a Trained Neural Net Description: Predict new examples by a trained neural net. Usage: predict.nnet(object, x,

Hi, I tried running Rcmd.exe to no avail. It doesn't even start because it tries to read some memory address that NT says it can't and terminate. I tried downloading and reinstalling rw1020sp.zip with the installer twice just in case it got corrupted somehow in transport but it resulted in the same problem. What should I do? platform i386-pc-mingw32 arch x86 os Win32 system

Hi, If I may suggest that something be done to the window drawing function of a plot. As it is now, we don't even have time to resize the window by a tiny bit before it's invoke and I think it would be an improvement if while the mouse is down the redrawing was delayed somehow. This is especially true when the plot is crowded. I also observed that moving the plot window around was a lot

Hi, I've installed the RODBC library, R1.000, NT 4.0. When I try to load it here is what I get: library(RODBC) Warning message: Package `RODBC' contains no R code in: library(RODBC) channel <- odbcConnect("PubsDSN", "sa", "password") # userId and password Error: couldn't find function "odbcConnect" Does anyone can shed some ligth on this

Hi, Would there be a function and/or some options to force R to write a value of say 1.0e-4 as "0.0001"? More specifically I want to use R to write ASCII file(s) for other programs to read and some of these programs don't know how to deal numbers in scientific notation or have a different convention. Thanks in advance. Yves Gauvreau B.E.F.P. Universit? du Qu?bec ? Montr?al cyg at

Hi, I know it must be written somewhere but I can't find it. I'd like to remove all variables or objects that I've created but not the functions. I look at a few things without success. Is there a R way of doing this? There are to many to create a manual list. Thanks in advance. Yves Gauvreau -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

A trick I use is to give tab-delimited text files created by excel or R the .xls extension: this may apply, and it may be better, to CSV: R couldn't see any difference whichever the extension will be, and windows will be foolished by the .xls extension an will open the file with Excel that will handel it CORRECTLY. If you need to have the data always alligned in Excel and R this trick will

Hi, Is there a way to apply a function to rows or columns of a matrix? Now I use apply(as.matrix(1:nrow(m), 1, function(x) mean(m[x,])) which works fine but kind of slow on large matrix. I'm sure there is something on this somewhere but I can't find it. Thanks Yves Gauvreau -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Greetings, I am having trouble calculating artificial neural network misclassification errors using errorest() from the ipred package. I have had no problems estimating the values with randomForest() or svm(), but can't seem to get it to work with nnet(). I believe this is due to the output of the predict.nnet() function within cv.factor(). Below is a quick example of the problem I'm

Dear All, After followed the help of nnet, I could get the networks trained and, excitedly, get the prediction for other samples. It is a two classes data set, I used "N" and "P" to label the two. My question is, how do I get the predicted numerical value for each sample? Not just give me the label(either "N" or "P")? Thanks! FYI: The nnet example I

Full_Name: Jeff Schwarz Version: R1.3.1 OS: Windows 2000 Submission from: (NULL) (129.22.170.115) Error message (using predict and predict.nnet) > predict (smalltest, smallx[-jj,]) Error in matrix(NA, length(keep), nout, dimnames = list(rn, dimnames(object$fitted)[[2]])) : length of dimnames[1] not equal to array extent *** all relevant code and data source is given below *** I

the following occurred inadvertently and brought R-1.1.0 down rep(1:3, c(4,2,-6)) Segmentation Fault (core dumped) platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 1.0 year 2000 month June day 15 language R

Hi, Sorry to ask this but what is the meaning of "AFAIK". From a darn Frenchman! Regards. Yves -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request

Hi, I need to write a function that would look something like this: S <- function(b=betas){ expression(b[1] * f(b[2] * x * f(b[3] * x * f(...b[n-1] * x * f(b[n] * x)))...) } Where n is the number of element in b. Further I need to be able to evaluate S at some x numerically of course and I need to use "deriv" and produce dS/dx such that I can evaluate it also at some x. I

I'm running Windows NT4. Rcmd does not seen to read the command line. Rterm and other things work well. For example "Rcmd check --help" fails with the command interpreter trying to find a program or file called "check." What have I missed? -- Bob Wheeler --- (Reply to: bwheeler at echip.com) ECHIP, Inc.

Hola todos Cuando realizo las predicciones del modelo multinomial con el paquete nnet, estas cambian cada vez que lo ejecuto ... saben por qué pasa esto ?? Gracias por la ayuda. [[alternative HTML version deleted]]

Hi, I'm currently trying desperately to get the nnet function for training a neural network (with one hidden layer) to perform a regression task. So I run it like the following: trainednet <- nnet(x=traindata, y=trainresponse, size = 30, linout = TRUE, maxit=1000) (where x is a matrix and y a numerical vector consisting of the target values for one variable) To see whether the network

Hi, Am working on neural network. Below is the coding and the output > library (nnet) > uplift.nn<-nnet (PVU~ConsumerValue+Duration+PromoVolShare,y,size=3) # weights: 16 initial value 4068.052704 final value 3434.194253 converged > summary (uplift.nn) a 3-3-1 network with 16 weights options were - b->h1 i1->h1 i2->h1 i3->h1 16.64 6.62 149.93

Hi, I'm new to R and I wonder if it's possible to have grid lines on a graph? Thanks. Yves Gauvreau -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.