similar to: Help with yaImpute

I'm using randomForest in yaImpute to create a yai-type object which associates "L" with landscape features. Then I use the sp() package to impute L to a landscape consisting of four ascii files) I keep getting the message "NA's generated due to illegal level(s)" when I do the imputation. It's probably because one of the landscape features ("as", for

Hi All, I fitted several classifiers in a two class problem. I then used the package 'yaImpute' - to apply my predictive models to asciigrids and thereby generate a probability maps. So far I successfully used yaImpute to generate maps for Random Forests, Classification trees, Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs). But when I try to use it to two other

Dear list, I am using AsciiGridPredict from the yaImpute package to make a spatial prediction of a randomForest model. When I call AsciiGirdPredict I am getting an error message, that I do not understand: AsciiGridPredict(st.rf.fit, xlist, ylist, xtypes=NULL, rows=NULL, myPredFunc=NULL) Rows per dot: 8 Rows to do: 884 ToDo:

Dear All, I am not able to run the random forest with my dataset.. X<- 280 records with satellite data(28 columns) - B1min, b1max, b1std etc.. y<- 280 records with 3 columns - TotBasal Area, Stem density and Volume yref <- y[1:230,] #Keeping 1st 230 records as reference records want to set 0 to y values for records 231 to 280.. yimp <- y[231:280,] #records for which we want

I rebuilt a test version of my yaImpute package using Uwe Ligges' windows build service. I got this reply: Check result: OK R version 2.9.0 Under development (unstable) (2009-01-27 r47756) Here is the issue: I have the following construct in help files (this example relates to "data"): \format{ A data frame with 847 rows and 29 columns: \cr\cr Ground based measurements of

Dear all, I have found some serious bugs in the knnFinder package (which supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions) that may trigger segmentation faults. I have fixed them but I had troubles to contact its maintainer Samuel E. Kemp (previously with the University of Glamorgan, UK). Do someone know where I

Hi there, is there any R-function for k-nearest neighbour agglomerative hierarchical clustering? By this I mean standard agglomerative hierarchical clustering as in hclust or agnes, but with the k-nearest neighbour distance between clusters used on the higher levels where there are at least k>1 distances between two clusters (single linkage is 1-nearest neighbour clustering)? Best regards,

CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This