similar to: Beyond reshape: automatically streamlining data

Hi , I have built decision tree using rpart . I want to do k Fold validation on the decision tree . Could you help how can i do that .. please tell the package which required for K fold validation. Regards, Santosh -- View this message in context: http://r.789695.n4.nabble.com/Need-Help-in-K-fold-validation-in-Decision-tree-tp4630730.html Sent from the R help mailing list archive at

Dear R user, I am looking for a code on double cross validation in LASSO , one for optimizing the parameter and other one is for MSEP. If any one have it, please foroward to me. I am using different package like LARS, chemometric etc. Thanks in advance Alex [[alternative HTML version deleted]]

Hi, Users, I am a new user. I am trying to partition data into training and test. Is there any R package or function that can partition dataset? Also, is there any package do crossvalidation? Any help will be appreciated. Best, Pat [[alternative HTML version deleted]]

Hi   I want to do leave-one-out cross-validation for multinomial logistic regression in R. I did multinomial logistic reg. by package nnet in R. How I do validation? by which function? response variable has 7 levels   please help me   Thanks alot Azam [[alternative HTML version deleted]]

Dear R expert I have come across the GBM package for R and it seemed appropriate for my research. I am trying to predict the number of FPGA resources required by a Software Function if it were mapped onto hardware. As input I use software metrics (a lot of them). I already use several regression techniques, and the graphs I produce with GBM look promising. Now my question... I see that the

Dear list members. I have problems with the usage of cv.glm from the boot package. Here are some parts of the script I wanted to use: data <- read.table("selected_2D.csv", header=TRUE, sep=",") ? glm.fitted <- glm("ydata$ y ~ 1 + density + vsurf_ID6 + vsurf_S ", data=data) error <- cv.glm(data=data, glm.fitted, K=6) ydata$y is a separate data set, where

Dear list, I'd like to update certain rows/columns in a data frame with new values. The application is that survey respondents may give an answer of "Other" to a categorical question and then provide some text describing what they mean. This text is then reviewed and placed into a category. These edits or recodes then need to be merged back into the main dataset. A small example

I've been updating a package and, when installing a local devel version, I get an error "object 'confusionMatrix' not found whilst loading namespace". Looking around online, it appears that this might be related to loading a specific RData file, but it doesn't seem to be the case AFAICT. I've installed the devel version in the last week without issues and the

I want to be able to load a library in a specified position using the pos= argument and have any subsequent library required by the one I'm loading go into a specified library as well. For example, in loading caret, it requires and loads lattice as well. When I specify that caret goes into position 9, lattice goes into position 2 by default. Is there a way to specify that by loading a

Hello all, I was wondering if anyone knew how to get R to only spit out a certain portion of PRcomp data; namely, when I enter the following code, I get: > Summary(prcomp(USArrests)) Importance of components: PC1 PC2 PC3 PC4 Standard Deviation 83.732 14.212 6.489 2.483 Proportion of Variance 0.966 0.0278 0.0058 0.00085 Cumulative Proportion 0.966

Hello, I am learning caret package, and I want to use the RFE to reduce the feature. I want to use RFE coupled Random Forest (RFE+FR) to complete this task. As we know, there are a number of pre-defined sets of functions, like random Forest(rfFuncs), however,I want to tune the parameters (mtr) when RFE, and then I write code below, but there is something wrong message, How can I deal with it?

Dear users, I have monthly station data (44) stations data for 45 years which I have read in R using read.table. the data is in the format: Year Month Station1 Station2 ...................................... Station 44 (i.e the column names in the 1st row), I also have the latitude and longitude of the stations in a separate file in R (in the format : Station LAT LON). I wish to

Hello everyone, I'm having a problem performing reshape() on a large data frame. The operation is fairly trivial but it makes R run out of memory. The data frame has the following structure: ID DATE1 DATE2 VALTYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALTYPE is a string and is a factor with

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

Reshape 0.7 =================== Reshape is an R package for flexibly restructuring and aggregating data. It is inspired by Excel's pivot tables, and it makes it very easy to view your data the way you want. The reshape package (along with ggplot) received the John Chambers Award for Statistical Computing. You can find out more at http://had.co.nz/reshape. Reshape (hopefully) makes it easy

Reshape 0.7 =================== Reshape is an R package for flexibly restructuring and aggregating data. It is inspired by Excel's pivot tables, and it makes it very easy to view your data the way you want. The reshape package (along with ggplot) received the John Chambers Award for Statistical Computing. You can find out more at http://had.co.nz/reshape. Reshape (hopefully) makes it easy

Dear R-colleagues, another question from a newbie: I am creating a lot of simple pivot-charts from my raw data using the reshape-package. In these charts we have medical doctors judging videos in the columns and the videos they judge in the rows. Simple example of chart/data.frame "input" with two categories 1/0: video 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 1 1 0 0

Hello R users and developers, I have a general question about reshaping a wide data frame using the "reshape" command. I have a data frame consisting of 108 columns that I would like to convert to a long table and remove the metadata (embedded in the column names of the wide table) to new metadata columns in the long format. #example data frame. NOTE column names contain metadata::

Reshape version 0.7.1 ===================== Reshape is an R package for flexibly restructuring and aggregating data. It's inspired by Excel's pivot tables, and it (hopefully) makes it very easy to get your data into the shape that you want. You can find out more at http://had.co.nz/reshape What's new in this version? * A 25 page introductory vignette, also available at

Reshape version 0.7.1 ===================== Reshape is an R package for flexibly restructuring and aggregating data. It's inspired by Excel's pivot tables, and it (hopefully) makes it very easy to get your data into the shape that you want. You can find out more at http://had.co.nz/reshape What's new in this version? * A 25 page introductory vignette, also available at