[R] nls, lattice, and conversion over to ggplot

[stephen sefick]

I just got it and it works wonderfully.
thank you both for your help

Stephen

On Fri, Oct 10, 2008 at 4:01 AM, baptiste auguie <ba208 at exeter.ac.uk> wrote:
> It worked for me, do you have the latest version of ggplot2 released a few
> days ago (ggplot2_0.7) ?
>
> Baptiste
>
> On 9 Oct 2008, at 20:55, stephen sefick wrote:
>
>> Error in `[.data.frame`(df, , var) : undefined columns selected
>>
>> I got this error in a fresh R session after rerunning all of the commands
>>
>> On Thu, Oct 9, 2008 at 3:45 PM, hadley wickham <h.wickham at gmail.com>
>> wrote:
>>
>>> On Thu, Oct 9, 2008 at 2:29 PM, stephen sefick <ssefick at gmail.com> wrote:
>>>>
>>>> I am trying to figure out how to use ggplot2.  I would like to do the
>>>
>>> below
>>>>
>>>> with ggplot, but I can not figure out how.  The data provided is a
>>>> subset
>>>
>>> of
>>>>
>>>> a much larger data set, but these data are the data necessary to make
>>>> the
>>>> plot.  I think I would rather have the colors become symbols, and I do
>>>
>>> know
>>>>
>>>> how to do that in lattice, but here is a quick and dirty version.
>>>> thanks
>>>
>>> Here's one way:
>>>
>>> pred <- data.frame(GPP = f, TSS = y)
>>> qplot(TSS, GPP, data=r, colour=RiverMile) +
>>> geom_line(data=pred, colour ="black")
>>>
>>> * ggplot2 works with data frames, so the key is to create one from
>>> your model predictions.  Naming the variables to match the names of
>>> the model inputs makes sense, and saves some typing.
>>>
>>> *  You no longer need to specify xlim because ggplot2 knows about
>>> everything you are plotting and can calculate the limits
>>> appropriately.
>>>
>>> * You have have to manually set the colour in geom_line to override
>>> the default mapping that you created between colour and RiverMile.
>>>
>>> Hadley
>>>
>>> --
>>> http://had.co.nz/
>>>
>>
>>
>>
>> --
>> Stephen Sefick
>> Research Scientist
>> Southeastern Natural Sciences Academy
>>
>> Let's not spend our time and resources thinking about things that are so
>> little or so large that all they really do for us is puff us up and make
>> us
>> feel like gods.  We are mammals, and have not exhausted the annoying
>> little
>> problems of being mammals.
>>
>> -K. Mullis
>>
>>       [[alternative HTML version deleted]]
>>
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>> and provide commented, minimal, self-contained, reproducible code.
>
>



-- 
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods.  We are mammals, and have not exhausted the
annoying little problems of being mammals.

								-K. Mullis