similar to: Predicting with a principal component regression model: "non-conformable arguments" error

Hello all, First off, I am using R version 2.13.0 in Ubuntu. I have read previous posts in the R mailing list on saving models for later use, and the responses indicate using the R save() function to save a model and then using load() to load it is one way to go. However, when I use the save() function to save a model to a file, and then try to load it using load(), the loaded "model"

Hi, I am trying to build a VERY basic neural network as a practice before hopefully increasing my scope. To do so, I have been using package "neural" and the MLP related functions (mlp and mlptrain) within that package. So far, I have created a basic network, but I have been unable to change the default activation function. If someone has a suggestion, please advise. The goal of the

with pred.pca<-predict(splits[[i]]$pca,trainingData at samples)[,1:nPCs] dframe<-as.data.frame(cbind(pred.pca,class=isExplosive(trainingData,2))); results[[i]]$classifier<-ksvm(class~.,data=dframe,scaled=T,kernel="polydot",type="C-svc", C=C,kpar=list(degree=degree,scale=scale,offset=offset),prob.model=T) and a degree of 5 i get an error of 0 reported by the ksvm

Does anyone know how to get the C-index from a logistic model - not using the dataset that was used to train the model, but instead using a fresh dataset on the same model? I have a dataset of 400 points that I've split into two halves, one for training the logistic model, and the other for evaluating it. The structure is as follows: column headers are "got a loan" (dichotomous),

Hi, Currently I have a dataset of 2400*408. And I would like to apply PCR method to study the any correlation between the tests. My current data is in data.frame and I have formed horizontal(1-407) to be the exact data, and (408) to be my results data(Yes and No) I have also binarized these Yes and No to 1 and -1s. However, when I refer to PCR manual on R, the example of yarn.pcr <-

Hi everyone, I'm sorry if this turns out to be more a statistical question than one specifically about R - but would greatly appreciate your advice anyway. I've been using a logistic regression model to look at the relationship between a binary outcome (say, the odds of picking n white balls from a bag containing m balls in total) and a variety of other binary parameters:

Just curious if anyone else has got this error before, and if so, would know what I could do (if anything) to get past it: > mtry <- tuneRF(training, trainingdata$class, ntreeTry = 500, stepFactor = 2, improve = 0.05, trace = TRUE, plot = TRUE, doBest = FALSE) mtry = 13 OOB error = 0.62% Searching left ... mtry = 7 OOB error = 1.38% -1.222222 0.05 Searching right ... mtry = 26

Hi, I have newbie question. Suppose I have the following data: temp <- data.frame(type1 = c("male", "female", "male", "female", "female"), type2 = c("low", "med", "high", "low", "med"), a = c(1,2,4, NA, 3), b = .... [TRUNCATED] temp type1 type2 a b c 1 male low 1 5 0 2 female

Hi list, I´m working on a predictive modeling task using the caret package. I found the best model parameters using the train() and trainControl() command. Now I want to evaluate my model and make predictions on a test dataset. I tried to follow the instructions in the manual and the vignettes but unfortunately I´m getting an error message I can`t figure out. Here is my code: rfControl <-

Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1 .50 .25 .25 4 .55 .25 .20 5 .65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these

Hi All, I'm working on a back end for an architecture that makes use of multi- typed register classes. def MR: RegisterClass<"namespace", [type1, type2, ... ], ... > When running some preliminary tests I found that the instruction selector refused to select certain ops (specifically stores) for some instructions when the operand type wasn't the first type for the

Hi all I am trying to build an R package, which I have successfully done many times before, but have an error I cannot trace. I hope someone can help me. Here's is some edited output (full output below if it is useful): pdunn2 at PDunnUbuntu:~/DSdata$ R CMD build GLMsData * checking for file 'GLMsData/DESCRIPTION' ... OK * preparing 'GLMsData': * checking DESCRIPTION

Hi all, I have a large data set and want to immediately build a 'blind' model without first examining the data. Now it appears in the data there are a lot of fields that are constant or all missing values - which prevents the model from being built. Can someone point me the right direction as to how I can automatically purge my data file of these useless fields. Thanks in advance, pdb

Hello, I have a ggplot that has the looks of the plot that I want, but it doesn't have the right layout. The data is an ordered melted dataframe: - ID - type (to use for a faced grid) - time - type - time - value (POSIXct) - pos (to use for a faced grid, this is an index to split the plot) The goal of the plot is to create a time line for each ID (different points of time). The ID's

Suppose I create an R program called myTest.R with only one line like the following: type <- as.integer(readline("input type (1: type1; 2: type2)? ")) Then I'd like to run myTest.R in batch mode by constructing an input file called answers.R with the following: source("myTest.R") 1 When I ran the following at the terminal: R CMD BATCH answer.R output.Rout it failed

rsync -e 'ssh -x' --log-format="%o /%n %b" -tLr --delete --files-from=files-to-sync --exclude-from=files-to-exclude user@host:/ /temp/ del. /etc/mail/spamfilter/mx1/whitelist.conf 0 del. /etc/mail/spamfilter/mx1/blacklist.conf 0 recv /etc/mail/spamfilter/mx1/ 0 recv /etc/mail/spamfilter/mx1/blacklist.conf 211 recv /etc/mail/spamfilter/mx1/whitelist.conf 924 Why does rsync

On Feb 12, 2007, at 1:41 AM, Christopher Lamb wrote: > > selector refused to select certain ops (specifically stores) for some > instructions when the operand type wasn't the first type for the > register class. After some digging around I seem to have solved the > problem by creating bitconvert patterns between the types in the > register class like the following: > >

Hello all, This is Meghana. Well, I have some analysis output in 3 dimensional array form. for example: , , type1 A B C D 1 2 3 4 1 2 3 4 , , type2 etc. This array is very big. and I want to export this to either text form or excel(csv is preffered) so that different parts of aaray should be easily extractable from that excel/text sheet. How can I go about it? Thank

Dear Debian persons I would like enquire about whether the repository deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ I tried to follow the instructions and I cannot get R3.5.1 - I get R3.4.4??? I have been able to install R3.5.1 on Ubuntu 16.02 using the xenial-cran35/ repository & so not sure if the bionic link is up to date? thanks in advance Regards Alison

Hello, I'm looking for a way to plot different data series on one graph. I have a series of hourly rainfall and quarterly flow measurements (i.e. 4 times an hour) of a catchment. The rainfall should be plotted in bars, the flow as a line. Both on the same X axe (time) but with different Y axes. The problem is the plot() function does not support add=TRUE... Furthermore I'm not sure