> On Feb 1, 2017, at 4:30 PM, David Winsemius <dwinsem...@comcast.net> wrote: > > >> On Feb 1, 2017, at 2:25 PM, Daniel Nordlund <djnordl...@gmail.com> wrote: >> >> On 2/1/2017 2:05 PM, Rolf Turner wrote: >>> On 02/02/17 08:03, Lal Prasad wrote: >>>> Hi All, >>>> >>>> Is there any way to >>>> >>>> 1) Convert the below forecast to a datafram >>>> 2) Any way to write it to an excel table? >>>> >>>> >>>> library(vars) >>>> library(fpp)VARselect(usconsumption, lag.max = 3, >>>> type="const")$selectionvar <- VAR(usconsumption, p=1,type = >>>> "both",lag.max = 3) >>>> serial.test(var, lags.pt = 3,type = "PT.asymptotic") >>>> >>>> fcst <- forecast(var) >>> (1) Read the posting guide. >>> (2) In particular don't post in HTML. >>> (3) As it appears, your code makes no sense to me. >>> (4) DON'T use Excel. Ever. See: >>> http://www.stat.uiowa.edu/~jcryer/JSMTalk2001.pdf >>> cheers, >>> Rolf Turner >> >> Unfortunately, that link appears to be broken / does not exist anymore. > > A google-search quickly turned up this: > > http://people.stat.sfu.ca/~cschwarz/Stat-650/Notes/Handouts.readings/ExcelPracticalforStat.pdf
The original 2001 JSM presentation by Jon Cryer is available here: https://oit.utk.edu/research/documentation/Documents/ExcelStatProbs.pdf and here: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.617.4297&rep=rep1&type=pdf It would appear that he has retired from Iowa and may no longer have an online directory. Patrick Burns also has a very good presentation and a reference listing here: http://www.burns-stat.com/documents/tutorials/spreadsheet-addiction/ as does Frank: http://biostat.mc.vanderbilt.edu/wiki/Main/ExcelProblems FWIW, in the context of a nuanced response and differentiating between using Excel for any actual analyses, which is largely what the above references are warning against and simply for narrowly exporting R results, there are various packages available that can facilitate that, presuming you solve the underlying issue of getting the data into a compatible format (e.g. data frame). The R Data Import/Export Manual is helpful here: https://cran.r-project.org/doc/manuals/r-release/R-data.html The use of the ?str function can help provide insights into the structure of the returned object and how you might access selected components of the structure to achieve your goal. An alternative to using Excel would be to use something like the Knitr package, which supports the use of markdown and can facilitate exporting formatted tables, etc. to HTML, PDF and so forth: https://yihui.name/knitr/ Regards, Marc Schwartz > >> >> Dan >> >> -- >> Daniel Nordlund >> Port Townsend, WA USA >> >> ______________________________________________ >> 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. > > David Winsemius > Alameda, CA, USA > > ______________________________________________ > 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. ______________________________________________ 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.
