search for: yaimpute

Displaying 9 results from an estimated 9 matches for "yaimpute".

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2008 Jul 28
0
Help with yaImpute
Dear fellow R-users I am trying to do some imputation using K-NN with the yaImpute library. All seems to be going well until I try to use AsciiGridImpute. All my data are correctly formatted and I am able to run and view the results of yai. Below is my code: **************************************************************************************************** library("yaImput...
2009 May 05
0
illegal levels in yaImpute() / AsciiGridImpute()
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 probabl...
2007 Apr 11
1
Random Forest Imputations
...t;, k=1, noRefs = TRUE) # This works fine for mahalanobis, msn, gnn, raw and Euclidean Want to do a similar thing with random forest where the 1st 230 records alone should be used for calculating Nearest Neighbours for the records with number 231 to 280.. What needs to be done.. Went through the yaImpute document.. but all i could do without any error message was to have NN generated using the yai() where all 280 records have been used for finding nearest neighbour. Regards Ricky [[alternative HTML version deleted]]
2009 Jan 29
1
In Rd: \describe \itemize and \item
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...
2008 Nov 26
0
SVM
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 c...
2008 Jan 14
2
knnFinder package
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
2009 Feb 26
0
AsciiGridPredict returns error in unionDataJoin
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: ............................
2011 Jun 09
1
k-nn hierarchical clustering
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,
2010 Jul 18
6
CRAN (and crantastic) updates this week
...1.17-3), vegdata (0.1.5), venneuler (1.0-2), VGAM (0.8-1), vowels (1.1), VPdtw (2.1-6), vrmlgen (1.4.4), wavelets (0.2-6), waveslim (1.6.4), wavethresh (4.5), wgaim (0.99-1), wle (0.9-4), WMCapacity (0.9.5.0), wmtsa (1.0-5), wordnet (0.1-6), xlsx (0.2.1), xlsxjars (0.2.0), XML (3.1-0), xts (0.7-1), yaImpute (1.0-11), zoo (1.6-4) New reviews ----------- * survey, by s195404 http://crantastic.org/reviews/79 * RODBC, by s195404 http://crantastic.org/reviews/78 This email provided as a service for the R community by http://crantastic.org. Like it? Hate it? Please let us know: cranatic at gmai...