[R] Plotting a large time series
Jim Lemon
drjimlemon at gmail.com
Mon Apr 25 05:15:37 CEST 2016
Hi Adrian,
This is probably taking a long time. I first tried with 7x10^6 times
and values and it took several minutes. The following code does what I
expected:
amdat<-data.frame(time=1:700000,value=rnorm(700000,-4))
amdat$value[amdat$value<0]<-0
sum(amdat$value)
[1] 5.07101
plot(amdat$time,amdat$value)
plot(amdat$time,amdat$value,type="l")
Perhaps convert the time series to two ordinary vectors?
Jim
On Sat, Apr 23, 2016 at 9:37 PM, Adrian Mcmenamin <acm538 at york.ac.uk> wrote:
> I have a time series with many millions of points.
>
> Each point is of the form (time, value) but where the value is 0 there is
> no record - ie the data set is sparse.
>
> If I plot this using plot(myData) I get a correct plot going from time 0 to
> time 7x10e7.
>
> Given that there are many millions of points (it's not *that* sparse), this
> looks very busy.
>
> But if I attempt to plot this as a line - plot(myData, type="l") - the plot
> is wrong (it looks like solid semi-sinusoidal curves) and although the
> x-axis is drawn from 0 to 7x10e7, the plotting stops at about 3x10e7.
>
> The same thing is seen if I use plot(myData[[1]], myData[[2]], type="l").
>
> If I use plot(myData[[2]], myData[[1]], type="l") I do get a line (albeit
> that the orientation seems odd), but again, while the y-axis is drawn
> between 0 and 7x10e7, the plotting again seems to stop at 3x10e7 or
> thereabouts.
>
> What have I got wrong? How can I get a line (preferably with the standard
> orientation)?
>
> Adrian
>
> [[alternative HTML version deleted]]
>
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