similar to: Random Forest Imputations

Hello All, I am attempting to use the feather.plot function from the plotrix package to graph current velocity data as I have speed and direction. I let "r" be the first 10 rows of current speed data and "theta" be the first 10 rows of directional data in radians. I had tried this with 10 measurements, but keep getting the following error message: >

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("yaImpute") data

Hi, I'm looking for the way to make vector plot over a time line. This plot, similar to the "feather plot" in Matlab, is a line in which every thick (a time value) one vector is drawn with its length proportional to one variable (wind speed, for example) and its direction to another (wind direction, for example). Any ideas? Thanks, EKS -- ---------------------------- Eduardo

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

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

I just completed YAI. The install was done via HTTP from an HTTP server (duh!). Is there some file I could copy into the directory structure (anaconda-ks.cfg) so that once I point the install to that server, it will do the second install just like the first?

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,

I would suggest that you make a more thorough search of the R-Archives. (http://finzi.psych.upenn.edu/search.html) If you do you will find this discussion has been had several times and that the type of machine you are running will have an impact upon what you can do. My feeling is that you are going have to knuckle down with the documentation and understand how R works and then when you have

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 All, I am Ricky Jacob, a project Student from India who is working on Forest Inventories. Input data: Plot(area = .1 ha) data having the following information: 1) Basal Area 2)Tree Density 3)Volume So I am applying this information to the corresponding pixels in the satellite imagery of the study area. I also have given the same values to a 3x3 window around that pixel. Inventory is taken

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:

Hi, I'd like to request that the 'write.dta' command also save the "var.labels" attributes of the data frame. 'read.dta' can read them, but 'write.dta' doesn't write them back. Thanks.... Edward McNeil -- Epidemiology Unit Faculty of Medicine Prince of Songkla University Hat Yai THAILAND (\_ _/) (='.'=) ('')_('') -- This

Hi, ==================== Reproducible example: ==================== data(Animals, package="MASS") # interesting dataset # Run model lm1 <- lm(log10(body)~log10(brain), data=Animals) # Setup 2x2 graphics device par(mfrow=c(2,2)) # Plot diagnostics, label the two most "extreme" points based on magnitude of residuals plot(lm1, id.n=2) ==============================

Hi there, I'm generally more a Stata user than a R user, but I need to computed something, and I am not able to do it with Stata 13. So, here I am! I have a database that has multiple imputations (imputations are already done) with a complex sample design (Strate and Weight). Is it possible, in R, to run polychoric correlation with multiple imputation, a Strate and a Weight ? For the

I'm interested in finding a package in R to do multiple imputations, similar to MICE in S-Plus. Does one exist? Please email directly to me. Thanks. Linda Andrews Social & Scientific Systems (301) 628-3234 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear all When trying to install my package on Windows XP on my Mac, I get the following error: ---------- Making package xps ------------ ... ... xpsDict.cxx "C:\Programme\Microsoft Visual Studio 9.0\VC\bin/link" /dll /def:xps.def /out:xps.dll fp10.obj -opt:noref -nologo -include:_G__cpp_setupG__Hist -include:_G__cpp_setupG__Graf1 -include:_G__cpp_setupG__G3D

Dear list, I'd like to use multiple imputations to try and save a somewhat badly mangled dataset (lousy data collection, worse than lousy monitoring, you know that drill... especially when I am consulted for the first time about one year *after* data collection). My dataset has 231 observations of 53 variables, of which only a very few has no missing data. Most variables have 5-10% of

No, we use msvc cl.exe as a compiler generating C7 debug information (here is more or less our compiler options regarding optimization/debugability): /Z7 /GL- /bigobj /Zo /utf-8 /arch:AVX /std:c++14 /Zc:inline /Zc:ternary /Zc:rvalueCast /Zc:strictStrings /O2 /MD In this list the only weird one is /bigobj, my main fear is that we might get to the limit of sections on an obj and then by adding the

Hi, We are starting to test binaries generated by lld on windows and we notices that sometimes the visual studio debugger can't see the content of variables or gets the call stack wrong for deeply nested or complex types. Did anyone else have the same problems, or any way to try to figure out what is missing? I tried llvm-pdbutil dump -symbols but there is a lot of small diferences on