search for: yai

...rds 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 to impute the basal area, stem density and volume mal1 <- yai(x=x, y=yref, method="mahalanobis", 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.....

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?

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("ya...

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 pr...

...ere is not enough memory (the computer has 250MB RAM). I have tried setting the memory in the command line (--max-vsize and --max-mem-size) but all to no avail. Any help would be muchly appreciated! Edward McNeil (son of Don) Epidemiology Unit Faculty of Medicine Prince of Songkhla University Hat Yai 90110 THAILAND ______________________________________________ R-help at stat.math.ethz.ch mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help

...e same values to a 3x3 window around that pixel. Inventory is taken compartmentwise and so this information of all the plots in a compartment is taken and generalised over all the pixels falling in that compartment. To make the estimation more realistic, i decided to use the impute opton in r. The yai requires me to enter the x and y variable. I stll haven't figured out how i should put my datasets to impute the values of variables like Basal area, volume for only those pixels for which no data is available. is msn or randomforest a better option. I tried to work on the example MoscowMtStJo...

...equest 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 message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

...hey seem to work without breaking anything. If you want me to make a patch, then I can try. But I thought that these changes were quite significant and better left to the experts. Hope that all makes sense. -- Edward McNeil Assistant Professor, Epidemiology Unit, Prince of Songkla University, Hat Yai, Thailand

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking