search for: fgl

Dear sir or ma'am, I have a question about the dataset "fgl." The dataset seems to be in the "VR" package, so I tried to download it from CRAN. However, after downloading, when I tried to load the package, it was not in my package list. I am wondering what is wrong. Any advice on how to access the fgl dataset would be appreciated. Thanks....

Using the data set fgl in MASS the following code layout(matrix(1:9,3,3)) for(i in 1:9){ boxplot(fgl[,i] ~ type, data = fgl,main=dimnames(fgl)[[2]][i])} produces a 3 by 3 array of plots, each one of which consists of six boxplots. Is it possible to do this in lattice? Steve "R version 2.7.2 (2008-08-25)&quot...

...ecking for f77 configure:1402: checking for underscore after Fortran symbols Note, no details of the compiler failure appear .... As for speed comparisons: A piece of the ch14 script from V&R2 (highly C-dependent), Solaris 2.6, Sparc 20 (about 4 years old) library(MASS) library(tree) data(fgl) unix.time({ fgl.tr <- tree(type ~ ., fgl) fgl.cv <- cv.tree(fgl.tr,, prune.misclass) for(i in 2:5) fgl.cv$dev <- fgl.cv$dev + cv.tree(fgl.tr,, prune.misclass)$dev fgl.cv$dev <- fgl.cv$dev/5}) gcc2.8.1 60.26secs cc SC4.0 60.35secs (the close agreement is fortuitous: I had to tu...

Dear R-users, dear Prof. Ripley as package maintainer I tried to investigate the odd error, when I call nnet together with a 'weights' parameter, using the 'fgl' example in V&R p 348 The error I get is: Error in eval(expr, envir, enclos) : Object "w" not found I think it is a kind of scoping problem, but I really cannot see, what the problem exactly is. and here is my code: the only thing which changed is the definition of a weight...

Dear R users, I want to do discriminant analysis on my data. I have successfully followed the discriminant analysis in V & R on the iris data: > ir <- rbind (iris3[,,1],iris3[,,2],iris3[,,3]) > ir.species <- c(rep("s",50),rep("c",50),rep("v",50)) > a <- lda(log(ir),ir.species) > a$svd^2/sum(a$svd^2) [1] 0.996498601 0.003501399 > a.x <-

Hi all, Can anyone who is familar with CART tell me what I missed in my tree code? library (MASS) myfit <- tree (y ~ x1 + x2 + x3 + x4 ) # tree.screens () # useless plot(myfit); text (myfit, all= TRUE, cex=0.5, pretty=0) # tile.tree (myfit, fgl$type) # useless # close.screen (all= TRUE) # useless My current tree plot resulted from above code shows as: 1. overlapped #s caused by unsuitable length of branch. 2. no misclassification rates: 'misclass.tree' only brings up the error of ' misclassification error rat...

Hi, I am trying to make a multi-class classification tree by using rpart. I used MASS package'd data: fgl to test and it works well. However, when I used my small-sampled data as below, the program seems to take forever. I am not sure if it is due to slowness or there is something wrong with my codes or data manipulation. Please be advised ! The data is described as the output from str() function. T...

...used a different data set with > random Forest > from the UCI respository. The results for the "credit" data > generated 2 > additional columns, column "1" and a column "2" that the > example given > in the newsletter did not generate from the fgl data set. > > For the "credit" data, what does the output with the heading > "1", " 2" > imply for ntree=100...500 (below)? Does the "1" imply the > actual data, > "class 1" and a group of synthetic data "2" -> &q...

...es ... ERROR Error in namespaceExport(ns, exports) : undefined exports: abbey, accdeaths, Aids2, Animals, anorexia, austres, bacteria, beav1, beav2, biopsy, birthwt, Boston, cabbages, caith, Cars93, cats, cement, chem, coop, cpus, crabs, Cushings, DDT, deaths, drivers, eagles, epil, farms, fdeaths, fgl, forbes, GAGurine, galaxies, gehan, genotype, geyser, gilgais, hills, housing, immer, Insurance, leuk, lh, mammals, MASS.data.load, mcycle, mdeaths, Melanoma, menarche, michelson, minn38, motors, muscle, newcomb, nlschools, nottem, npk, npr1, oats, OME, painters, petrol, phones, Pima.te, Pima.tr, P...

...ue, 25 Jan 2005 14:58:04 -0500, Liaw, Andy <andy_liaw at merck.com> wrote: > > > >>>From: WeiWei Shi > >>> > >>>Hi, > >>>I am trying to make a multi-class classification tree by using rpart. > >>>I used MASS package'd data: fgl to test and it works well. > >>> > >>>However, when I used my small-sampled data as below, the program seems > >>>to take forever. I am not sure if it is due to slowness or there is > >>>something wrong with my codes or data manipulation. > >&gt...

Hi All, My question is in regards to an error generated when using randomForest in R. Is there a special way to format the data in order to avoid this error, or am I completely confused on what the error implies? "Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 32 categories." This is generated from the command line: >

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