[R] xyplot: superpose 2 time series with different time intervals

Gabor Grothendieck ggrothendieck at gmail.com
Sat Aug 1 16:44:23 CEST 2009


In the last statement you can replace plot with xyplot (although both work).

On Sat, Aug 1, 2009 at 10:37 AM, Gabor
Grothendieck<ggrothendieck at gmail.com> wrote:
> Try this using the same ts.sim and ts.sim2 from my previous post.
> https://stat.ethz.ch/pipermail/r-help/2009-August/206697.html
>
> library(zoo)
> library(lattice)
> plot(na.approx(cbind(as.zoo(ts.sim), as.zoo(ts.sim2))), screen = 1,
>        col = c("black", grey(0.5)))
>
>
> On Sat, Aug 1, 2009 at 10:26 AM, Gary Lewis<gary.m.lewis at gmail.com> wrote:
>> I could use some advice regarding xyplot.
>>
>> I've got 2 time series. Both cover approximately the same period of
>> time (ie, 1940 to 2009). But one series has annual data and the other
>> has monthly data. One refers to university enrollment; the other to
>> unemployment rates. Both are currently in the same data frame.
>>
>> I'd like to use the monthly times series as a light grayscale
>> background for a plot of the annual time series, showing both series
>> as type "l" (line). Naturally with all the NA's in the annual series,
>> that plot disappears because points are not connected across missing
>> values.
>>
>> I suppose I could make both series annual, but a lot of interesting
>> detail would get lost this way. Or I guess I could interpolate values
>> in the annual series with monthly approximations, but this means 11
>> out of every 12 values is an approximation. Or I suppose I could plot
>> each series separately and then print them with position information,
>> which I'm reluctant to do because panel.superpose so nicely handles
>> the alignment of the 2 panels.
>>
>> What I'd really like to do is plot each independently but still
>> superposed. Effectively this seems to mean monthly data intervals but
>> line connections across the NA's in the series with annual intervals.
>>
>> Any suggestions would be appreciated. Thanks.
>>
>> Gary Lewis
>>
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>>
>




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