If you don't want to wait for a ggplot2 solution, here are two
alternatives you can use right now:
chartSeries(SPYxts)
# or (with xts > 0.10
plot(SPYxts$SPY.Close)
addSeries(SPYxts$SPY.Volume, type = "h")
You might also try autoplot.zoo(), though I've never used it.
On Thu, Jan 18, 2018 at 2:11 PM, Eric Berger <ericjber...@gmail.com> wrote:
> Hi Charlie,
> I am comfortable to put the data in any way that works best. Here are two
> possibilities: an xts and a data frame.
>
> library(quantmod)
> quantmod::getSymbols("SPY") # creates xts variable SPY
> SPYxts <- SPY[,c("SPY.Close","SPY.Volume")]
> SPYdf <- data.frame(Date=index(SPYxts),close=as.numeric(SPYxts$SPY.Close),
> volume=as.numeric(SPYxts$SPY.Volume))
> rownames(SPYdf) <- NULL
>
> head(SPYxts)
> head(SPYdf)
>
> # SPY.Close SPY.Volume
> #2007-01-03 141.37 94807600
> #2007-01-04 141.67 69620600
> #2007-01-05 140.54 76645300
> #2007-01-08 141.19 71655000
> #2007-01-09 141.07 75680100
> #2007-01-10 141.54 72428000
>
> # Date close volume
> #1 2007-01-03 141.37 94807600
> #2 2007-01-04 141.67 69620600
> #3 2007-01-05 140.54 76645300
> #4 2007-01-08 141.19 71655000
> #5 2007-01-09 141.07 75680100
> #6 2007-01-10 141.54 72428000
>
> Thanks,
> Eric
>
>
>
> On Thu, Jan 18, 2018 at 8:00 PM, Charlie Redmon <redm...@gmail.com> wrote:
>
>> Could you provide some information on your data structure (e.g., are the
>> two time series in separate columns in the data)? The solution is fairly
>> straightforward once you have the data in the right structure. And I do not
>> think tidyquant is necessary for what you want.
>>
>> Best,
>> Charlie
>>
>> --
>> Charles Redmon
>> GRA, Center for Research Methods and Data Analysis
>> PhD Student, Department of Linguistics
>> University of Kansas
>> Lawrence, KS, USA
>>
>>
>
> [[alternative HTML version deleted]]
>
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--
Joshua Ulrich | about.me/joshuaulrich
FOSS Trading | www.fosstrading.com
R/Finance 2018 | www.rinfinance.com
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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