search for: plotmo

Hello all useRs, I am tring make a simple surface plot ( 2 by 2 terms of a MARS model (with earth package) but I get the follow error message: > plotmo( mars ) Error: bad index (missing column in x?) I don't no how to workround this... :-( I thanks in advanced by some help! Thanks. Cleber ############### > > ### example code: > library( earth ) > data( gasoline, package='pls' ) > > nir <- gasoline$NIR &gt...

I'm having trouble calling randomForest::partialPlot programmatically. It tries to use name of the (R) variable as the data column name. Example: library(randomForest) iris.rf <- randomForest(Species ~ ., data=iris, importance=TRUE, proximity=TRUE) partialPlot(iris.rf, iris, Sepal.Width) # works partialPlot(iris.rf, iris, "Sepal.Width") # works (function(var.name)

...unnecessary burden on the user when both data.frames and matrices can > easily be supported by predict. > > To mitigate such issues, I'm going out on a limb and presenting some > guidelines for writers of S3 regression model functions (this document > is currently part of the plotmo package): I think this is a nice and useful starting point. It's probably not comprehensive (yet) but will surely help. You could add something more about writing the formula interface and the correct processing of model.frame, terms, model.response, model.matrix, model.weights, model.offs...

The "earth" package is now available on CRAN. Earth builds models using Friedman's MARS. Earth's principal advantages over the existing function mda::mars are that it is much faster and provides plotting and printing methods. The general purpose model plotting function "plotmo" may also be useful to people who are not interested in earth itself. Example: > a <- earth(Volume ~ ., data = trees) > summary(a, digits = 2) Call: earth(formula = Volume ~ ., data = trees) Expression: 23 + 5.7 * pmax(0, Girth - 13) - 2.9 * pmax(0, 13 - Girth) + 0.72...

The "earth" package is now available on CRAN. Earth builds models using Friedman's MARS. Earth's principal advantages over the existing function mda::mars are that it is much faster and provides plotting and printing methods. The general purpose model plotting function "plotmo" may also be useful to people who are not interested in earth itself. Example: > a <- earth(Volume ~ ., data = trees) > summary(a, digits = 2) Call: earth(formula = Volume ~ ., data = trees) Expression: 23 + 5.7 * pmax(0, Girth - 13) - 2.9 * pmax(0, 13 - Girth) + 0.72...

Hi, I'm trying to use mars function in R to interpolate nonlinear multivariate functions. However, it seems that mars gives me a fit which uses only very few basis function and it underfits very badly. For example, I have tried the following code to test mars: require("mda") f <- function(x,y) { x^2-y^2 }; #f <- function(x,y) { x+2*y }; # Grid x <-

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):