similar to: caret package, how can I deal with RFE+SVM wrong message?

I am learning the package "caret", after I do the "rfe" function, I get the error ,as follows: Error in `[.data.frame`(x, , retained, drop = FALSE) : undefined columns selected In addition: Warning message: In predict.lm(object, x) : prediction from a rank-deficient fit may be misleading I try to that manual example, that is good, my data is wrong. I do not know what

Dear colleagues, i am carrying out an ordinal regression model. I try it on SPSS but I "flirt" with R as well. I have a few questions. 1. What is the most reliable/tested/trusted package for ordinal regression in the R world? 2. Also, I have a statistical question. What is the danger of having to many 'empty cells' in ordinal regression? How many empty cells are too many? Do

I'm trying to run "rfe" for variable selection in the caret package, and am getting an error. My data frame includes a dummy variable with 3 levels. x <- chlDescr y <- chl #crate dummy variable levels(x$State) <- c("AL","GA","FL") dummy <- model.matrix(~State,x) z <- cbind(dummy, x) #remove State category variable w <- z[,c(-4)]

On Tue, Jan 26, 2016 at 1:51 PM, Michal Privoznik <mprivozn@redhat.com> wrote: > On 26.01.2016 14:35, Andrei Perietanu wrote: > > On Tue, Jan 26, 2016 at 12:39 PM, Michal Privoznik <mprivozn@redhat.com> > > wrote: > > > >> On 26.01.2016 12:30, Andrei Perietanu wrote: > >>> Hi all, > >>> > >>> I am running KVM on a 3.18

The following code fails to train a nnet model in a random dataset using caret: nR <- 700 nCol <- 2000 myCtrl <- trainControl(method="cv", number=3, preProcOptions=NULL, classProbs = TRUE, summaryFunction = twoClassSummary) trX <- data.frame(replicate(nR, rnorm(nCol))) trY <- runif(1)*trX[,1]*trX[,2]^2+runif(1)*trX[,3]/trX[,4] trY <-

On a Unix machine I ran caret::rfe using the multicore package, and I saved the resulting object using save(lm2, file = "lm2.RData"). [Reproducible example below.] When I try to load("lm2.RData") on my Windows laptop, I get Error in loadNamespace(name) : there is no package called 'multicore' I completely understand the error and I would like to ignore it and

I know why SQLite3 is broken. This code: Topic.transaction do |transaction| transaction.rollback! end results in the following database commands: BEGIN; ROLLBACK; COMMIT; In other words, there is a COMMIT when no transaction is in flight. MySQL and Postgres are coll with it, but SQLite3 blows up with indignation. Recorded as a ticket: http://dev.rubyonrails.org/ticket/8030

I have created two new files /export/home/bin/test_temp.delete_me and /export/home/webmstr/nflmg/scripts/regional/misc_loaders/test_temp.delete_me on the rsync server and am using the following exclude file. + bin/ + nflmg/scripts/regional/misc_loaders/ - core - *.bz2 - *.orig - *.BAK - *.bak - *.old - *.csv - *.tmp - *.4chart - *.xls - *.difftrx - *.difftra - *.rawbad - *.trx.all - *.tar.* -

In the process of checking a package, I get the warning Foreign function calls without 'PACKAGE' argument: .Call("tr", ...) .Call("trProd", ...) See section 'System and foreign language interfaces' of the 'Writing R.. These functions are called using the wrappers trX <- function(x, package="gRcox") { .Call("tr", x,

i want to integrated link_to with image_tag before i did link_to with image_tag like this <%=link_to image_tag(image.filename

Hi! Today I converted my /home from Ext4 to BTRFS by reformatting and copying all over again. I created the filesystem with -l 16384 -n 16384 -d single -m single on an logical volume Intel SSD 320 and mount with compress=lzo,spacecache. Current state: merkaba:~> btrfs filesystem show failed to read /dev/sr0 Label: ''home'' uuid: […] Total devices 1 FS bytes used

On 11/14/08, David Flynn <davidf+nntp at woaf.net> wrote: > Correct; there is no metadata handling capability in the current > mapping spec. I'd suggest at some point to look into separate stream solution for metadata, perhaps M3F [1]. -Ivo [1] http://wiki.xiph.org/index.php/M3F

Dear developers, I have jutst started working with caret and all the nice features it offers. But I just encountered a problem: I am working with a dataset that include 4 predictor variables in Descr and a two-category outcome in Categ (codified as a factor). Everything was working fine I got the results, confussion matrix etc. BUT for obtaining the AUC and predicted probabilities I had to add

I am used to packages like e1071 where you have a tune step and then pass your tunings to train. It seems with caret, tuning and training are both handled by train. I am using train and trainControl to find my hyper parameters like so: MyTrainControl=trainControl( method = "cv", number=5, returnResamp = "all", classProbs = TRUE ) rbfSVM <- train(label~., data =

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 <-

I have never been able to get class probabilities to work and I am relatively new to using these tools, and I am looking for some insight as to what may be wrong. I am using caret with kernlab/ksvm. I will simplify my problem to a basic data set which produces the same problem. I have read the caret vignettes as well as documentation for ?train. I appreciate any direction you can give. I

Hi. I'm stuck into an odd situation. Here's what happens: 4 Thomson ST2030S 2 Cisco 7912 3 Cisco 7940 2 AAstra 480i Asterisk 1.2.17 Diva 4BRI + chan_capi I've just upgraded yesterday from Asterisk 1.2.13 to 1.2.17. Until yesterday, everything was just fine with 1.2.13. Immediately after the upgrade, *all* the 7940 are no more able to make calls, just receive them, while 7912

Title: HOWTO-FreeBSD-on-XCP Author: John D. "Trix" Farrar Date: 2012-02-09 * The Challenge - ParaVirtualized FreeBSD 9.0-RELEASE under XCP 1.1.0 The idea here is to create a PV FreeBSD VM under Xen Cloud Platform (XCP) without starting with an HVM first. The documentation I''''ve been able to find on-line is at least a year old and is mostly written for Xen (under

Dear all- Package /fGarch/ version 2100.78 in R version 2.8.1 (2008-12-22) running on linux 2.6.22.9-91.fc7 In trying to fit garch models in above environment. I am getting "reasonable" fitted coefficients, but the fitObject@fitted are all the same. This is true even for the help page example: library(fGarch) R> X.timeSeries = as.timeSeries(msft.dat) R> head( +

Hi, does anyone know the prices for g729 codecs from Digium? I sent an email a while ago to them but haven't got any response so far. Prices are per unit or volume? Thanks, -- ------------------------------------------- Erick Perez Linux User 376588 http://counter.li.org/ (Get counted!!!) Panama, Republic of Panama