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I applied bootpred for multinomial logistic reg. (with nnet package). I used same as theta.fit and theta.predict of R for my data. but give me error. Can I do this with response vriable;7 levels predictor variables:5 (1 classifier, 4 continuous)?   Thanks alot Azam   [[alternative HTML version deleted]]

Hi   I want to do leave-one-out cross-validation for multinomial logistic regression in R. I did multinomial logistic reg. by package nnet in R. How I do validation? by which function? response variable has 7 levels   please help me   Thanks alot Azam [[alternative HTML version deleted]]

Dear All   Pleas help me to increase the memory in R.   In order increase memory, I read the FAQ and follow the instruction as below     Close R, then right-click on your R program icon (the icon on your desktop or in your programs directory). Select ``Properties'', and then select the ``Shortcut'' tab. Look for the ``Target'' field and after the closing quotes around the

Hi   I did validation for prediction by logistic regression according to following:   validationsize <- 23 set.seed(1) random<-runif(123) order(random) nrprofilesinsample<-sort(order(random)[1:100]) profilesample <- data[nrprofilesinsample,] profilevalidation <- data[-nrprofilesinsample,] salich<-profilesample$SALIC.H.1 salic.lr<-glm(salich~wetnessindex, profilesample,

Hi everyone, I'm happy to announce that I've implemented a Block I/O bandwidth controller. The controller is designed to be of use in a cgroup or virtual machine environment. The current approach is that the controller is implemented as a device-mapper driver. What's dm-band all about? ======================== Dm-band is an I/O bandwidth controller implemented as a device-mapper

Hi everyone, I'm happy to announce that I've implemented a Block I/O bandwidth controller. The controller is designed to be of use in a cgroup or virtual machine environment. The current approach is that the controller is implemented as a device-mapper driver. What's dm-band all about? ======================== Dm-band is an I/O bandwidth controller implemented as a device-mapper

Hello, I have conducted an SEM in which the resultant standardized path coefficients are much higher than would be expected from the raw correlation matrix. To explore further, I stripped the model down to a simple bivariate relationship between two variables (NDVI, and species richness), where it's my understanding that the SEM's standardized path coefficient should equal the correlation

Hi   I want to draw a plot from observed and predicted data and also shows threshold and data before threshold are identified with different color from data after threshold.   Suppose: abserved data are 0 or 1 predicted data= 0 to 1 threshold=0.5   Thanks alot     [[alternative HTML version deleted]]

Dear All   I want to import the vector file (   .shp) to R. I could import the file by rgdal package before, by following:   geology<-readOGR('C:/geology//saga/geo.geom','finalgeology')   but now there is an error:   Error in ogrInfo(dsn = dsn, layer = layer, input_field_name_encoding = input_field_name_encoding) :           GDAL Error 4: .shx file is unreadable, or corrupt.

Hello all   I have a geology map that has three level, bellow   <-geology lithology    landscape   landform     landform level is used as covariate (with codes=1,2,3,4,5) for training of neural network, but this level has missing data as NA. I want to replace the missing data of landform level with 0 (zero). Finally, landform will have codes  0,1,2,3,4,5.   please help me   Thanks alot.

Hi All, I'm running into a problem with GAM (in the MGCV package). When I try to estimate the model, I get the following error message: 1> fit <- gam(ndvi~s(rain)+s(temp)+s(rainl1)+s(rainl2)+s(rainxY)+s(rainl1xY)+s(rainl2xY)+s(tempxY), data=dsub, weights=wvec) Error in while (mean(ldxx/(ldxx + ldss)) > 0.4) { : missing value where TRUE/FALSE needed Using

Hello, is there an implementation available for a shared nearest neighbor (SNN) clustering algorithm? //Jay

Hello R-users, I'm currently facing a pretty hard problem which I'm hopping you'll be able to help me with. I'm using R to create images. That alone is not the problem, the problem is that I'm using R to create 168 000 images... My code (which is given below) use different package (raster and rgdal) to import a image (size 20gig) and divide it into 168 000 pictures that are

Dear all, I have been working in a plot based on figure 5.6 of the Lattice book (http://lmdvr.r-forge.r-project.org/figures/figures.html). I have already modified it to include the size of the circles as another variable, but I would like to modify the legend to show it (like they do it in http://www.jstatsoft.org/v15/i05/paper). I have divided my variable in intervals: DATA$s_Shape_2 <-

Hi weekend R helpers, *Is it possible to get a ylabel on the right hand side axis ==> axis(4)? Thankx, Jan opar <- par(mfrow = c(2,1)) plot(ts.Origi[,1],ylab='NDII', main=name) # Add the legend text in the right order legend.txt <- c("NDII", "Inverse KBDI") legend(2001.8,0.29, legend.txt,col=c(1,2), lty=1)

Hi, I have been running the same code without problem for the last few days, changing data sets etc with no issue. Today I changed the covariates for the model and am now getting this error message: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels Everything in the code looks the same to me, but I'm a

Dear R-ians, I have a question concerning plotting different plots on one figure. I have written a script to plot an image, a legend (based on different rectangles) and a timeseries plot on one figure. In my R-lagnuage it looks like this (without arguments that are not usefull for my question): #---> I first define the functions image.data<-function(...){ .... #-->Plot the

I am using MODIS Tools and am having a lot of difficulty troubleshooting my code. I am a PhD student studying African buffalo in Kruger National Park, South Africa. The study I am currently working on involves a herd of 200 African buffalo caught every six months for 4 years. I am trying to use EVI and NDVI to assess seasonal variation thus I would like mean EVI and NDVI for each observation

> On Jun 22, 2017, at 4:44 PM, Caroline <gliddeca at science.oregonstate.edu> wrote: > > I am using the R-package MODISTools (different than MODIS) and am having a lot of difficulty troubleshooting my code. I have spent awhile going through MODISTools tutorials, searching for my error code, looking at the source code. However, I have not been able to find any relevant information

I am using the R-package MODISTools (different than MODIS) and am having a lot of difficulty troubleshooting my code. I have spent awhile going through MODISTools tutorials, searching for my error code, looking at the source code. However, I have not been able to find any relevant information related to my error message. The study I am currently working on involves a herd of 200 African buffalo