thank you for your valuable reply. I have attached my commands, results, and data with this mail..maybe it will be beneficial for you to feedback.
On Tue, Nov 21, 2017 at 9:13 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > Your example is incomplete... as the bottom of this and every post says, > we need to be able to proceed from an empty R environment to wherever you > are having the problem (reproducible), in as few steps as possible > (minimal). The example needs to include data, preferably in R syntax as the > dput function creates... see the howtos referenced below for help with > that. [1], [2], [3] > > You also need to set your email program to send plain text format, since > HTML gets mangled to various degrees as it gets forced into text format > going through the mailing list. Read the Posting Guide. > > A wild guess is that you have negative values in your data or too few data > points... > > [1] http://stackoverflow.com/questions/5963269/how-to-make- > a-great-r-reproducible-example > > [2] http://adv-r.had.co.nz/Reproducibility.html > > [3] https://cran.r-project.org/web/packages/reprex/index.html (read the > vignette) > -- > Sent from my phone. Please excuse my brevity. > > On November 21, 2017 12:48:08 AM PST, yadav neog <yadavn...@gmail.com> > wrote: > >I am working on Johansen cointegration test, using urca and var > >package. > >in the selection of var, I have got following results. > > > >>VARselect(newd, lag.max = 10,type = "none") > > > >$selection > >AIC(n) HQ(n) SC(n) FPE(n) > > 6 6 6 5 > > > >$criteria > > 1 2 3 4 > > 5 6 7 8 9 > >AIC(n) -3.818646e+01 -3.864064e+01 -3.833435e+01 -4.089169e+01 > > NaN -Inf -Inf -Inf -Inf > >HQ(n) -3.754345e+01 -3.744647e+01 -3.658903e+01 -3.859523e+01 > > NaN -Inf -Inf -Inf -Inf > >SC(n) -3.630096e+01 -3.513899e+01 -3.321655e+01 -3.415775e+01 > > NaN -Inf -Inf -Inf -Inf > >FPE(n) 2.700145e-17 2.114513e-17 5.350381e-17 2.035215e-17 > >-9.147714e-65 0 0 0 0 > > 10 > >AIC(n) -Inf > >HQ(n) -Inf > >SC(n) -Inf > >FPE(n) 0 > > > >Warning messages: > >1: In log(sigma.det) : NaNs produced > >2: In log(sigma.det) : NaNs produced > >3: In log(sigma.det) : NaNs produced > > > >so do in my ca.jo test... I have found similar NaNs results. please > >help me > >in solving the problem. > >Yadawananda Neog > >Research Scholar > >Department of Economics > >Banaras Hindu University > >Mob. 9838545073 > > > > [[alternative HTML version deleted]] > > > >______________________________________________ > >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >https://stat.ethz.ch/mailman/listinfo/r-help > >PLEASE do read the posting guide > >http://www.R-project.org/posting-guide.html > >and provide commented, minimal, self-contained, reproducible code. > -- Yadawananda Neog Research Scholar Department of Economics Banaras Hindu University Mob. 9838545073 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
