similar to: rcart - classification and regression trees (CART)

Hi, I'm trying to recreate a sensitivity-specificity graph using the histbackback function. The only problem is that these graphs are typically drawn with vertical rather than horizontal bar plots (and the histbackback function only seems to work with horiz=TRUE argument, using "horiz=FALSE" doesn't work). Does anyone know if: 1) there's a different graphing function that

Hello, I came across a problem when building a randomForest model. Maybe someone can help me. I have a training- and a testdataset with a discrete response and ten predictors (numeric and factor variables). The two datasets are similar in terms of number of predictor, name of variables and datatype of variables (factor, numeric) except that only one predictor has got 20 levels in the training

Hi, I would like to combine multiple xyplots into a single, multipanel display. Using R 3.0.1 in Ubuntu, I have used c() from latticeExtra to combine three plots, but the x-axis for two plots are on a log scale and the other is on a normal scale. I also have included equispace.log=FALSE to clean up the tick labels. However, when I try all of these, the x-axis scale of the first panel is used

Hi, I use a mboost model to predict my dependent variable on new data. I get the following warning message: In bs(mf[[i]], knots = args$knots[[i]]$knots, degree = args$degree, : some 'x' values beyond boundary knots may cause ill-conditioned bases The new predicted values are partly negative although the variable in the training data ranges from 3 to 8 on a numeric scale. In order to

Hi Group, Create some example data. set.seed(1) wide_data <- data.frame( id=c(1:10), predictor1 = sample(c("a","b"),10,replace=TRUE), predictor2 = sample(c("a","b"),10,replace=TRUE), predictor3 = sample(c("a","b"),10,replace=TRUE), measurement1=rnorm(10), measurement2=rnorm(10)) head(wide_data) id

Hello. I''m using the Agile Web Dev. book 1st Edition and I''m puzzled by the code on pp. 83-84. <%= link_to ''Add to Cart'', {:action => ''add_to_cart'', :id => product }, :class => ''addtocart'' %> def add_to_cart product = Product.find(params[:id]) @cart = find_cart

All, does any one has a drag and drop sample code using rails and ajax that I can use as a starting point for mine? I ''ll for customers to drag and drop item being purchase into their shopping cart. Thanks Patrick

Hi all - I''m working my way through the "depot" tutorial. I''m having a problem with the section where the cart contents are displayed on the order page. The cart contents display fine after I add an item to the cart, but simply does not show up on the order page. Any help would be appreciated. I''m running Locomotive 1.0.0c on Tiger with MySQL from

I got the dragging to work, and the adding the to cart , but i''m having a problem drag from with the cart div it doesn''t drag. But the dragging works on the cart (url) here is a quick example of the cart http://64.90.176.114/ajax/drag.php - try dragging into the the solid line div (it will add an item to the db). but then try and drag from within the solid line div (gray

I am following a tutorial and get thar error creating a cart, and can''t figure it out, uninitialized constant Cart::CartItem Extracted source (around line #8): 5: <h3>Your Shopping Cart</h3> 6: 7: <ul> 8: <% for item in @cart.cart_items %> 9: <li id="cart_item_<%= item.book.id %>"> 10: <%= render :partial =>

Hai Can someone tel me whether it is possible to force in Variables at various levels of the tree in CART. I have been using RPART for CART which comes with PARTYKIT package (is this package good for CART or is there any other better package?). I am facing a problem with the tree it generates, it picks up variables which don''t make much sense. I want it to pick up few vars at few

Hi, I have explored many of the R packages that construct Bayesian trees including the tgp, bart, BMA and maptree packages. I have also searched through some other packages but they do not seem to be suitable for the type of analysis I need to do. I need to construct Bayesian CART that have terminal nodes which have bivariate regressions (not multiple regressions like most of the packages do).

Hi, Is here anyone knows the difference between rapart and bagging when grow a CART tree? Thanks Qin

Hi, I have a technical question about rpart: according to Breiman et al. 1984, different costs for misclassification in CART can be modelled either by means of modifying the loss matrix or by means of using different prior probabilities for the classes, which again should have the same effect as using different weights for the response classes. What I tried was this: library(rpart)

I would like to know whether there are plugins for the above. If not, could anyone direct me to the resouces to develop a drag and drop module for muy ror project. -- Posted via http://www.ruby-forum.com/. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group,

Hi, I''m developing an application which has to manage many types of products. But I can''t think what the best approach in rails is on how to implement them. Here is a selection of some of the products (with some data types) that the software will have to manage: Speaker Make - String Model - String Wattage - Integer Price - Decimal

Can anyone please help me out? I would like to do CART (classification and regression trees) in R. Is this at all possible? If so, how? Thanks, Ranjan -- *************************************************************************** Ranjan Maitra, Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.

Greetings, Does anyone know of an R code for classification and regression tree analysis (CART)? Thank you Ron Ron Thornton BVSc, PhD, MACVSc (pathology, epidemiology) Programme Co-ordinator, Active Surveillance Animal Biosecurity MAF Biosecurity Authority P O Box 2526 Wellington, New Zealand phone: 64-4-4744156 027 223 7582 fax: 64-4-474-4133 e-mail: ron.thornton at maf.govt.nz

Apologies for cross posting CART Data Mining 2004, San Francisco, March 22-24, 2004 Below are links for the registration and the latest scheduling information. Please note that you can register with an early-bird discount if you register NOW and write the words "SCHEDULE" on your registration form. Homepage: http://www.cartdatamining.com Detailed Conference Schedule:

I would like to know if is it possible implemet a partitioning tree using a function like rpart, or mvpart, and with formula a glm-object (as a logistic models) or a robust linear regression (as least sum of absolute errors). In this case, the appropriate "method" to use is "mrt"? Or another one? Thanks, Anna Maria Paganoni