search for: cross

Dear R community, I want to estimate coefficients in a (non-linear) system of equations using 'mle2' from the "bbmle" package. Right now the whole data is read in as just one long time series, when it's actually 9 cross sections with 30 observations each. I would like to be able to test and correct for autocorrelation but haven't found a way to do this in this package. On the other hand I have found a package called "plm" serving for panel likelihood maximization, but here the regression formula app...

I get some failing tests from compiler-rt. FAIL: cfi :: cross-dso/stats.cpp (30831 of 30893) ******************** TEST 'cfi :: cross-dso/stats.cpp' FAILED ******************** Script: -- /usr/local/google/home/prazek/llvm-build-release/./bin/clang -fuse-ld=gold -flto -fsanitize=cfi -fwhole-program-vtables --driver-mode=g++ -fsanitize-cfi-cross-dso -fv...

Hi all! I want to cross compile openssh to our own CPU and our embedded Linux platform, however I get at least the following errors when running configure: checking whether snprintf correctly terminates long strings... configure: error: can not run test program while cross compiling checking whether getpgrp takes no arg...

Dear list, When I use VennDiagram package, I got a error as follow: venn.plot <- draw.pairwise.venn( area1 = 3186, area2 = 325, cross.area = 5880); Error in draw.pairwise.venn(area1 = 3186, area2 = 325, cross.area = 588) : Impossible: cross section area too large. Does anyone have suggestion? Thank you.

Hi all, In Tibshirani's PNAS paper about nearest shrunken centroid analysis of microarrays (PNAS vol 99:6567), they used cross validation to choose the amount of shrinkage used in the model, and then test the performance of the model with the cross-validated shrinkage in separate independent testing set. If I don't have the luxury of having independent testing set, can I just use the cross validation performance as the...

...4.5193,1000 108426.1988,820 181651.8748,980 53675.45849,775 43068.82972,563 92393.35158,805 93305.0618,740 107308.4761,840 139056.5446,775 15411.81924,420 16104.80991,390 25629.07578,502 37121.23438,461 29711.42749,565 33400.49145,510 and the code is: xy<-read.csv(xy.csv) x<-xy$x y<-xy$y cross.val.error.temp<-numeric(0) b<-c(1:length(x)) for(i in b){ frame.val.temp<-data.frame(x,y) frame.val<-frame.val.temp[-i,] yt<-frame.val$y xt<-frame.val$x temppow.val<-lm(log(yt)~log(xt)) tempint.val<-summary(temppow.val)$coefficients[1,1] #intercept of power function tempslo...

...erlength-strings -Wold-style-definition -Wmissing-format-attribute " \ CONFIG_H="config.h auto-host.h ../../llvm-gcc-4.2-2.7.source/gcc/../include/ansidecl.h" \ MAKEOVERRIDES= \ -f libgcc.mk all make[3]: Entering directory `/localhome/simmon12/aix-cross/obj/gcc' /localhome/simmon12/aix-cross/obj/./gcc/xgcc -B/localhome/simmon12/aix-cross/obj/./gcc/ -B/localhome/simmon12/aix-cross/obj/../install/powerpc-ibm-aix5.1.0.0/bin/ -B/localhome/simmon12/aix-cross/obj/../install/powerpc-ibm-aix5.1.0.0/lib/ -isystem /localhome/simmon12/aix-cross/obj/...

Dear R-help, How could a cross-correlation plot be optimized such that the relationship between seasonal time-series can be studied? We are working with strong seasonal time-series and derived a cross-correlation plot to study the relationship between time-series. The seasonal variation however strongly influences the cross-cor...

Dear R users, I'm working with the rpart package and want to evaluate the performance of user defined split functions. I have some problems in understanding the meaning of the xval argument in the two functions rpart.control and xpred.rpart. In the former it is defined as the number of cross-validations while in the latter it is defined as the number of cross-validation groups. If I am correct this means that for xpred.rpart, xval denots the number V of one V-fold cross validation while for rpart.control it denotes the number of times that the cross-validation is performed. Am I ri...

Hi It clear that to do a classification with svm under 10-fold cross validation one uses svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = 10) What corresponds to the nnet? nnet(.....,cross=10)? Regards

Hi list, Could someone help me to explain why the leave-one-out cross validation results I got from svm using the internal option "cross" are different from those I got manually? It seems using "cross" to do cross validation, the results are always better. Please see the code below. I also include lda as a comparison. I'm using WinXP, R-2....

You could try using zig for this. Here's an example build script of zig cross compiling llvm, lld, clang, and finally itself: https://github.com/ziglang/zig-bootstrap You can see the build script is not too complicated. The main trick is using CC and CXX to use `zig cc` and `zig c++` as drop-in replacements for a C and C++ compiler, respectively. I wrote some more detai...

Hello group, For my PhD I'm working on a spatial sampling grid. I do have two data sets which I'd like to compare using cross-correlograms or cross-variograms. Is this an option in one of the R-packages? I've been searching the R-help archive and the available package-documentations, but I can't find how to do this. Thanks in advance, Ren?. _______________________________________ Ren? Eschen CABI Bioscience...

...../../../src/ llvm-gcc/gcc/doc/include \ -o ../../../src/llvm-gcc/gcc/doc/cpp.info ../../../src/llvm-gcc/gcc/doc/cpp.texi ' in @synindex.vm-gcc/gcc/doc/cpp.texi:49: Unknown index `vr' and/or `op ../../../src/llvm-gcc/gcc/doc/cpp.texi:4124: warning: @strong{Note...} produces a spurious cross-reference in Info; reword to avoid that. ../../../src/llvm-gcc/gcc/doc//cppopts.texi:133: warning: @strong{Note...} produ ces a spurious cross-reference in Info; reword to avoid that. ../../../src/llvm-gcc/gcc/doc//cppopts.texi:341: warning: @strong{Note...} produ ces a spurious cross-reference i...

I am reading some documentation about Cross Spectrum Analysis as a technique to compare spectra. My understanding is that it estimates the correlation strength between quasi-periodic structures embedded in two signals. I believe it may be useful for my signals analysis. I was referred to the R functions that implement this type of analy...

Hi everyone, I recently sent a message that may or may not have made it to the list, on problems building an LLVM cross-compiler. Now the issue seems clear to me and is irrelevant at this point, I would like to discuss the general issue. Suppose you have a host system, a Linux distribution on an x86_64 machine, and want to build a cross-compiler for aarch64 (or any platform supported by LLVM, other than an AMD-/In...

Hi everyone, I would like to compute the sum of cross products of rows of a matrix. Does anyone know how to do this without an explicit loop for computational efficiency? Below is a code example. Thanks! Stephan # I.e., if I have a matrix like this x <- matrix(rep(c(1,2,3),3),ncol=3) ## > x ## [,1] [,2] [,3] ## [1,] 1 1...

Hi, I ran two svm models in R e1071 package: the first without cross-validation and the second with 10-fold cross-validation. I used the following syntax: #Model 1: Without cross-validation: > svm.model <- svm(Response ~ ., data=data.df, type="C-classification", > kernel="linear", cost=1) > predict <- fitted(svm.model) >...

There seem to be some recent regressions in clang/llvm. I see some test failing, and there is also this issue: https://llvm.org/bugs/show_bug.cgi?id=30466 Is anyone working on it? Piotr -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20160920/ade5e8cd/attachment.html>

Hi all, I'm cross-compiling speex for a GNU/Linux ARM target. I want to compile only the libraries, and not the speex executables. I don't have a libogg cross-compiled, and would prefer the need to have to set it up. Unfortunately: 1/ the speex executables depend on libogg header files, although, the speex...