similar to: Help in R code

Hello , i am working in the functional time series using the multivariate time series data(hourly time series data). Sir? i am using FAR model more than one order for which no statistical package is available in R, so for this i convert my data into functional form and obtained the functional principle component and from those FPCA i extract their corresponding? FPCscores. Know i use the VAR model

Good morning,??Please help me to code this code in R. I working in the multivariate time series data, know my objective is that to one year forecast of the hourly time series data, using first five as a training set and the remaining one year as validation. For this??I transform the the data into functional data through Fourier basis functional, apply functional principle components as dimensional

Good morning dear administrators, Please help me to code this code in R. I working in the multivariate time series data, know my objective is that to one year forecast of the hourly time series data, using first five as a training set and the remaining one year as validation. For this??I transform the the data into functional data through Fourier basis functional, apply functional principle

I've read everything I've found on tcpdump-smb, and still can't get it to work right. I downloaded the binary from samba.org, and executed the command like so: (The command belowis directly from the README.smb that comes with tcpdump-3.4a5.tar.gz) ./tcpdump -i eth0 port 139 host 192.168.0.1 tcpdump: parse error How do I use it to get the decoded smb output? BTW: I also

On Fri, Apr 5, 2013 at 2:40 PM, Joshua Cranmer 🐧 <Pidgeot18 at gmail.com>wrote: ... > Per C and C++, integer division by 0 is undefined. That means, if it > happens, the compiler is free to do whatever it wants. It is perfectly > legal for LLVM to define r to be, say, 42 in this code; it is not required > to preserve the fact that the idiv instruction on x86 and x86-64 will

Dear R users, psy version 0.65 is on CRAN now. psy provides several methods used in psychometry (kappa, icc, cronbach, screeplot (with simulations), non linear mapping, etc.) A bug has been fixed in function wkappa (weighted kappa): in particular circumstances, the 2*2 table presented levels in an order different to what was suggested in the help file. The fpca function (PCA plot with

Dear R users, psy version 0.65 is on CRAN now. psy provides several methods used in psychometry (kappa, icc, cronbach, screeplot (with simulations), non linear mapping, etc.) A bug has been fixed in function wkappa (weighted kappa): in particular circumstances, the 2*2 table presented levels in an order different to what was suggested in the help file. The fpca function (PCA plot with

On Apr 5, 2013, at 1:42 PM, Cameron McInally <cameron.mcinally at nyu.edu> wrote: > On Fri, Apr 5, 2013 at 2:40 PM, Joshua Cranmer 🐧 <Pidgeot18 at gmail.com> wrote: > ... > Per C and C++, integer division by 0 is undefined. That means, if it happens, the compiler is free to do whatever it wants. It is perfectly legal for LLVM to define r to be, say, 42 in this code; it is

On 4/5/2013 1:23 PM, Cameron McInally wrote: > Hey guys, > > I'm learning that LLVM does not preserve faults during constant > folding. I realize that this is an architecture dependent problem, but > I'm not sure if it's safe to constant fold away a fault on x86-64. > > A little testcase: > > #include <stdio.h> > > int foo(int j, int d) { >

Dear Sir/ma'am, I'm using R-3.4.4 and TCGAbiolinks package for the analysis of GDC data. Till today i have reintalled R and R studio for 5 times but one error comes when i analyze the GDC data at the step GDCprepare. the data i am using is not a legacy data of GDC data portal. I think the problem is with my Laptop only because i have run the same commands in another PC and there was no

Hey guys, I'm learning that LLVM does not preserve faults during constant folding. I realize that this is an architecture dependent problem, but I'm not sure if it's safe to constant fold away a fault on x86-64. A little testcase: #include <stdio.h> int foo(int j, int d) { return j / d ; } int bar (int k, int d) { return foo(k + 1, d); } int main( void ) { int r =