The sessionInfo() function does not create a plot... On Tue, Apr 7, 2015 at 12:10 PM, Raghuraman Ramachandran <optionsra...@gmail.com> wrote: > Thanks Josh. I am not sure if I can attach a Jpeg. Please find attached. > > On Tue, Apr 7, 2015 at 5:47 PM, Joshua Ulrich <josh.m.ulr...@gmail.com> wrote: >> On Tue, Apr 7, 2015 at 11:30 AM, Raghuraman Ramachandran >> <optionsra...@gmail.com> wrote: >>> Dear guRus >>> >>> I have xts data as: >>> str(volsA) >>> An ‘xts’ object on 2014-05-13/2015-04-07 containing: >>> Data: num [1:221, 1:2] 18.8 18.5 18.4 22.2 22 ... >>> - attr(*, "dimnames")=List of 2 >>> ..$ : NULL >>> ..$ : chr [1:2] "vol1" "vol2" >>> Indexed by objects of class: [Date] TZ: UTC >>> xts Attributes: >>> List of 1 >>> $ na.action:Class 'omit' atomic [1:20] 1 2 3 4 5 6 7 8 9 10 ... >>> .. ..- attr(*, "index")= num [1:20] 1.4e+09 1.4e+09 1.4e+09 1.4e+09 >>> 1.4e+09 ... >>>> >>> I am trying t0 plot them in a single frame but the scaling does not >>> happen properly. >>> >>> plot(vols,plot.type="s",format="auto") >>> lines(vols[,2],col="red") >>> >>> The lower graph in red gets displayed as a truncated graph and does >>> not fully exhibit the relationship. Can someone kindly help in >>> scaling/display please? >>> >> What's the output of sessionInfo() from your R session? >> >>> Thanks >>> Raghu >>> >>> ______________________________________________ >>> 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. >> >> >> >> -- >> Joshua Ulrich | about.me/joshuaulrich >> FOSS Trading | www.fosstrading.com
-- Joshua Ulrich | about.me/joshuaulrich FOSS Trading | www.fosstrading.com ______________________________________________ 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.
