> Can't guess without knowing the exact code (otherwise I would be in the
> paranormal, investment, or gambling business, I suppose) but this is this
> the kind of error you get in R when calling print.gglot on a ggplot objects
> (well, a proto object) that does not have defined layers.
I've put a
On 12/10/09 6:07 PM, Faisal Moledina wrote:
> On Thu, Dec 10, 2009 at 2:13 AM, Laurent Gautier wrote:
>>
>> Can you report in the bitbucket issue tracker what is that
>> is missing from rpy2.robjects.lib.ggplot2 so it can be added ?
>>
>> (note: the mapping is hopefully moving towards a more dynam
On Thu, Dec 10, 2009 at 2:13 AM, Laurent Gautier wrote:
>
> Can you report in the bitbucket issue tracker what is that
> is missing from rpy2.robjects.lib.ggplot2 so it can be added ?
>
> (note: the mapping is hopefully moving towards a more dynamic generation,
> although that's probably for relea
On 12/9/09 11:45 PM, Faisal Moledina wrote:
> On Thu, Dec 3, 2009 at 10:57 AM, Laurent Gautier wrote:
>>
>> Please continue reporting what does work like it seems it should along the
>> way.
>>
>
> This may sound ridiculous, but I'm not sure how to display the plot
> anymore. The ggplot stored in
On Thu, Dec 3, 2009 at 10:57 AM, Laurent Gautier wrote:
>
> Please continue reporting what does work like it seems it should along the
> way.
>
This may sound ridiculous, but I'm not sure how to display the plot
anymore. The ggplot stored in 'pp' generated by the static ggplot2
library had a plot
Faisal Moledina wrote:
> On Tue, Dec 1, 2009 at 5:34 PM, Laurent Gautier wrote:
>> This is an involuntary omission.
>>
>> The rpy2.robjects.lib.ggplot2 module started out as a way to show how to map
>> Python classes onto R classes manually (not matter what flavour of R OOP is
>> used).
>> (I have
On Tue, Dec 1, 2009 at 5:34 PM, Laurent Gautier wrote:
> This is an involuntary omission.
>
> The rpy2.robjects.lib.ggplot2 module started out as a way to show how to map
> Python classes onto R classes manually (not matter what flavour of R OOP is
> used).
> (I have updated the documentation rece
Faisal Moledina wrote:
> On Mon, Nov 30, 2009 at 4:26 PM, Laurent Gautier wrote:
>>> Next problem: Because I included the option y='..density..' in my
>>> histogram aes, my plot now has ..density.. as its x label. This
>>> doesn't happen in R. I thought I could rectify this by adding the line
>>>
On Mon, Nov 30, 2009 at 4:26 PM, Laurent Gautier wrote:
>> Next problem: Because I included the option y='..density..' in my
>> histogram aes, my plot now has ..density.. as its x label. This
>> doesn't happen in R. I thought I could rectify this by adding the line
>> pp=pp+ggplot2.opts(xlab="z"),
Faisal Moledina wrote:
> Laurent,
>
> On Sun, Nov 29, 2009 at 4:13 AM, Laurent Gautier wrote:
>> That's more an issue with ggplot2 than with rpy2.
>> What I meant earlier is the following:
>>
>> pp += ggplot2.geom_line(ggplot2.aes_string(x='z',y='dens'),
>>data=datafline)
Laurent,
On Sun, Nov 29, 2009 at 4:13 AM, Laurent Gautier wrote:
>
> That's more an issue with ggplot2 than with rpy2.
> What I meant earlier is the following:
>
> pp += ggplot2.geom_line(ggplot2.aes_string(x='z',y='dens'),
> data=datafline)
>
>
> It is working here (rpy2-2
Faisal Moledina wrote:
> Hello Laurent,
>
> I've attached a minimal example. Removing the comment at line 69, which reads:
> pp=pp+ggplot2.geom_line(datafline,ggplot2.aes_string(x='z',y='dens'))
That's more an issue with ggplot2 than with rpy2.
What I meant earlier is the following:
pp += ggplo
Hello Laurent,
I've attached a minimal example. Removing the comment at line 69, which reads:
pp=pp+ggplot2.geom_line(datafline,ggplot2.aes_string(x='z',y='dens'))
results in the following output from iPython:
x
Error: ggplot2 doesn't know how to deal with data of
Faisal,
At first sight the difference between your R code and your rpy2 code for
geom_line is that you pass the data.frame zfunc with a name
( data = zfunc ) with R, and without with rpy2.
Without the complete Python traceback or a standalone example (off-list,
if you are more comfortable to do
Hello everyone,
I'm trying to port the following R code to rpy2:
plots<-ggplot(pz_r,aes(x=z))+geom_histogram(aes(y=..density..),binwidth=bw)+geom_line(data=zfunc,aes(x=z,y=dens))
where pz_r is a data frame of observations of the random variable z,
and zfunc is a data frame with the probability d
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