On Tue, Jul 6, 2010 at 8:29 PM, Ben Wilkinson <bjlwilkin...@gmail.com> wrote:
> Thanks - that helps put the data on the same scale but it doesn't actually
> add the scale as it still shows min and max on the axis.
The scale maps from (min, max) -> (0, 1). You can compute and specify
tick positions and labels accordingly.
rng <- range(unlist(lapply(lapply(iris, as.numeric), range)))
prng <- pretty(rng)
parallel(iris, common.scale = TRUE,
scales = list(x = list(at = (prng-min(rng))/diff(rng),
labels = prng)))
-Deepayan
>
> On Sun, Jul 4, 2010 at 10:49 PM, Deepayan Sarkar <deepayan.sar...@gmail.com>
> wrote:
>>
>> On Sun, Jul 4, 2010 at 12:59 PM, Ben Wilkinson <bjlwilkin...@gmail.com>
>> wrote:
>> > I have put together a chart of 1,000 monthly data series using parallel
>> > and
>> > I really like the way it displays the data. Is there a way to achieve
>> > something similar in terms of display using the actual scale (
>> > consistently
>> > across all the data) as opposed to min/max ?
>>
>> You mean like
>>
>> parallel(iris, common.scale = TRUE)
>>
>> ?
>>
>> -Deepayan
>
>
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