search for: trianing

I'm fitting data from a mixture experiment, and I'd like to present the results in a ternary graph with contours. I found this code by Walmes Zeviani http://n4.nabble.com/Triangular-filled-contour-plot-td1557386.html which is just what I want--except I would like the axis titles and labels to be proportionately larger than the ternary graph itself, for legibility in publication. When I

Hi all, I am working on a filled contour plot which shows a triangular matrix data set (as shown below). Is there a possibilty to draw a triangular filled contour in a equilateral triangle (like a ternary plot)? Thanks in advance Johannes http://n4.nabble.com/file/n1557386/Bild3.png -- View this message in context: http://n4.nabble.com/Triangular-filled-contour-plot-tp1557386p1557386.html

One possibility is to look at predict.nnet(), and - Write an R function that write out parts of an nnet object that are needed by predict.nnet() to an external file. - Re-write predict.nnet() in C, reading the model information from the external file. Obviously you'll also need the C source for the code that predict.nnet() calls, and modify those as needed to strip out dependency on R, if

Hi R package developers. This is literally the strangest thing I've ever seen. Latest (as of a month ago) R under cygwin64. I'm teaching an intern package building and using the .C interface. The package compiles, but when it gets to "setting up lazy load" or some such it throws the error "triang" not available for .C() in package "randpkg". Upon checking,

...problems to predict the groups from the test/validation sample. The exmaples of the R documantation and some online webpage also do not work. Does anybody know what I have done wrong? Here my code # I want to use the first 6 observations for validationg the model, case 7 to 36 are # used for the trianing: n_fold<-sample(1:36,36) testset<- n_fold[1:6] trainset<- n_fold[-(1:6)] # regularized DFA with default setting (works fine) z <- rda(group ~ ., data=test[trainset,]) #Now the prediction: a<-predict(z,data=test[testset,])$class Error in predict.rda(z, data = test[testset, ]) :...

...al Message----- From: Han-Lin Lai [mailto:Han-Lin.Lai at noaa.gov] Sent: Wednesday, May 19, 2004 12:47 PM To: r-help at stat.math.ethz.ch Subject: [R] mixed models for analyzing survey data with unequal selection probability Hi, I need the help on this topic because this is out of my statistical trianing as biologist. Here is my brief description of the problem. I have a survey that VESSELs are selected at random with the probability of p(j). Then the tows within the jth VESSEL are sampled at random with probability of p(i|j). I write my model as y = XB + Zb + e where XB is fixed part, Zb is f...

...gt; test/validation sample. The exmaples of the R documantation and > some online webpage also do not work. Does anybody know what I have > done wrong? > > Here my code > # I want to use the first 6 observations for validationg the model, > case 7 to 36 are > # used for the trianing: > n_fold<-sample(1:36,36) > testset<- n_fold[1:6] > trainset<- n_fold[-(1:6)] > # regularized DFA with default setting (works fine) > z <- rda(group ~ ., data=test[trainset,]) > #Now the prediction: > a<-predict(z,data=test[testset,])$class > >...

Usually when using raw glmnet I let the implementation choose the lambdas. However when training via caret::train the lambda values are predetermined. Is there any way to have caret defer the lambda choices to caret::train and thus choose the optimal lambda dynamically? -- Yang Zhang http://yz.mit.edu/

Hello all, I am trying to use asterisk to call a local access gateway by dialing a fix number, after getting connected, the is a IVR prompt for pin number and finally the real destination number. I manage to use asterisk to dial to the gateway but have no idea how to send the pin number and destination number. This is due to asterisk only process the next ext only if dial app has terminated. My

...>Sent: Wednesday, May 19, 2004 12:47 PM >>To: r-help at stat.math.ethz.ch >>Subject: [R] mixed models for analyzing survey data with unequal selection >>probability >> >>Hi, >> >>I need the help on this topic because this is out of my statistical >>trianing as biologist. Here is my brief description of the problem. >> >>I have a survey that VESSELs are selected at random with the probability >>of p(j). Then the tows within the jth VESSEL are sampled at random with >>probability of p(i|j). I write my model as >> >&gt...