This would probably also be interesting to some:
On 2007-October-01 , at 00:48 , hadley wickham wrote:
>> That's great!
>> In fact I think I found exactly what I was looking for. I can just
>> do:
>> p = ggplot() + coord_equal()
>> p$aspect.ratio = 1
>> to set up the plot, and t
This was meant to be sent on the list:
On 2007-September-30 , at 23:12 , jiho wrote:
> On 2007-September-30 , at 21:01 , hadley wickham wrote:
[...]
>>> As expected there is nothing in the data part of the p object
p$data
>>> NULL
>>>
>>> But there is no data specification either in th
> > There are a few ways you could describe the graph you want. Here's
> > the one that I'd probably choose:
> >
> > ggplot(mapping = aes(x = log, y = lat)) +
> > geom_path(data = coast) +
> > geom_point(data = coords) +
> > coord_equal()
> >
> > We don't define a default dataset in the ggplot cal
On 2007-September-30 , at 18:35 , hadley wickham wrote:
>> The ggplot book specifies that "[ggplot] makes it easy to combine
>> data from multiple sources". Since I use ggplot2 as much as I can
>> (thanks it's really really great!) I thought I would try producing
>> such a plot with ggplot2.
>>
>>
Hi JiHO,
> The ggplot book specifies that "[ggplot] makes it easy to combine
> data from multiple sources". Since I use ggplot2 as much as I can
> (thanks it's really really great!) I thought I would try producing
> such a plot with ggplot2.
>
> NB: If this is possible/easy with an other plotting
Hello everyone (and Hadley in particular),
I often need to plot data from multiple datasets on the same graph. A
common example is when mapping some values: I want to plot the
underlying map and then add the points. I currently do it with base
graphics, by recording the maximum region in whi
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