similar to: determination of the number of lags

Dear all, I would like to create a graphics menu. There is a function "menu" which presents the user with a menu of choices labelled from 1 to the number of choices(in the package base). But it's an "iteractive" function. Actually, i work with GRASS and R (under linux) and i use the command R --vanilla<"name" to execute my routine. That why, i

Hello, I am trying to run a linear regression analysis on my data set. For some reason most variables are removed due to singularities. My linear regression looks this way (I am using only partial data, which is selected by flags): fm<-lm(log(cplex6.time..sec..[flags]) ~ cplex6.cities[flags] + log(1/features.meanOver.frust[flags]) + log(1/features.meanOver.minDist[flags]) + [...]

Dear list, I am trying to program semi-random movement within a circle, with no particles leaving the circle. I would like them to bounce back when they come to close to the wall, but I don't seem to be able to get this right. Would somebody kindly give me a hint ? This is my code so far, the particle starts at some point and moves towards the wall, but I don't get the "bouncing

Dear list, ? I am trying to program semi-random movement within a circle, with no particles leaving the circle. I would like them to bounce back when they come to close to the wall, but?I don't seem to be able to get this right. ?Would somebody?be able to?give me a hint ? This is my code so far, the particle starts at some point and moves towards the wall, but I don't get the

Dear Dr Hornik / R help list, I am using the mda package and in particular the fda routine to classify a set of 162 neurons falling in to 11 neuronal cell types according to 17 morphological variables. I would like to use a cross-validation approach in which I split the data, train with one part amd then test the predictive accuracy of the discriminant functions with the remaining part. However

There are some missing fixes for reading floats and a few unused variables Now I have the postbeta2 branch behaving like the main one, at least! diff -bBu2 branch_postbeta2/vq/bookutil.c vorbis-postb2/vq/bookutil.c --- branch_postbeta2/vq/bookutil.c Thu Aug 31 05:00:02 2000 +++ vorbis-postb2/vq/bookutil.c Wed Sep 13 17:59:15 2000 @@ -309,5 +309,5 @@

Hello, Say the original type is Integer i16*,&nbsp; I want to create a v16i16* type to replace it. static Type *getVectorPtr(Type *Ty) { &nbsp; &nbsp; PointerType *PointerTy = dyn_cast<PointerType&gt;(Ty); &nbsp; &nbsp; assert(PointerTy &amp;&amp; "PointerType expected"); &nbsp; &nbsp; unsigned addSpace = PointerTy-&gt;getAddressSpace();

Hi. I am trying to load the package fSeries, in order to load the package fGarch after. However, it says the following message. > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fBasics (Error : ... infinite recursion) Loading required package: fImport Loading required package: fSeries Loading

Dear all can you help me? i have this problem: i have a dataset in a text file in a matrix of 3 columns: x, y, z where x and y are the coordinates and Z are the mesurements. How can i do a variogram with R?

Dear All, Is there anybody has the experience in using variogram(gstat) ? Please kindly give me some hints about the results. I used variogram() to build a semivariogram plot as: tr.var=variogram(Incr~1,loc=~X+Y,data=TRI2TU,width=5) then fir the variogram to get the parameters as: v.fit = fit.variogram(tr.var,vgm(0.5,"Exp",300,1)) v.fit model psill range 1 Nug 1.484879

Greetings List, I'm having some trouble with the use of the names function in a formula. Below is an example of something that works (i.e first line), and the second line is the same formula which doesn't. I want to be able to reference the column of the dataC table so I can run the variogram iteratively with a loop. > v<-variogram(A1~1,loc=~x+y, dataC) >

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

Hello, I have data at 10 locations, in each location there are time series (T=56). Question is: when I?m fitting variogram what happens with those measures in each location? Are they taken as repeated measures? It's very important for my to know this Thanks a lot

You are welcome. I changed the pattern, the same old error pop up again, crash in the same place. Type set is empty for each HW mode: possible type contradiction in the pattern below (use -print-records with llvm-tblgen to see all expanded records). vtInt: &nbsp; (vt:{ *:[Other] }) UNREACHABLE executed at /home/nancy/work/rpp_clang/llvm/utils/TableGen/CodeGenDAGPatterns.cpp:824!

Dear All, Apologies for sending this email to both list, but at this point I'm not sure which one could help me the most. I have 4 sets of data, 1 test and 3 different sets of controls. The measurements are binary, with a matrix of 0 and 1 I'm measuring across time (rows, ~815) the behaviour of organelles in the cell by microscopy in response to different stimuli (several measurements

Hello, I'm using the gstat package within R for an automated procedure that uses ordinary kriging. I can see that there is a logical ("singular") atrtibute of some adjusted model semivariograms: .- attr(*, "singular")= logi TRUE I cannot find documentation about the exact meaning and the implications of this attribute, and I dont know anything about the inner calculations

Hi, I would know how to plot two variograms on a same graph. I can plot one by one but I would draw both on the same one. Is it possible? Do i need any special package? Thanks! Cordialement Damien Landais

Dear all, I have a database x,y,value imported in R with read.table: dati<- read.table("dati.dat") value is a categorical data (land use) and i want to plot in the same colour the same land use. It is possible with R. Thanks a lot

Hi all The code of trying to write relates to selecting properties (given by x and y co-ordinates) spatially (distance "X" from "infected" properties identified by date) over a certain time period. i.e. what properties are within 3 km from properties infected on "2008-01-01" over the last 14 days. Is any one able to give me some clues on how to write code to solve

Hello R help list, I am using the mda package and in particular the fda routine to classify a set of 4409 trips. I preformed a flexible discriminant analysis (FDA) using a set of 148 trips. A total of 36 predictors were considered. the resulting FDA rule was applied to the 4409 trips and for the same predictors in order to predict to which group the trip will belong. A consistent error is