[R] ggplot: combining geom's in function

[sbihorel]

Hi

Thanks for the suggestion. Unfortunately, the qplot function would work 
nicely if only I did not need to combine its output with other geom 
called before...

A simple example using the data previously described:

ggplot(data, aes(x,y,group=g)) + geom_blank() + 
qplot(x=x,y=y,data=data,group=g,colour=factor(g),geom = c('point','line'))
 > Error in p + o : non-numeric argument to binary operator
In addition: Warning message:
Incompatible methods ("+.gg", "Ops.data.frame") for "+"

I know I could combine the geom's by adapting the order of the calls to 
my data and needs for this one example. But this is not my goal. I am 
trying to build a generic function, not an ad-hoc script.

Sebastien

On 10/23/2015 12:27 PM, Jeff Newmiller wrote:
> Have you looked at the qplot function in the ggplot2 package?
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>
> On October 23, 2015 3:12:41 PM GMT+02:00, sbihorel <Sebastien.Bihorel at cognigencorp.com> wrote:
>> Hi,
>>
>> Next adventure into my journey from lattice to ggplot: I would like to
>> create a custom generic function that combines multiple existing geom's
>>
>> in order to reproduce what the lattice panel.xyplot function does based
>>
>> on the type argument (ie, plotting points only for type='p', plotting
>> lines for type 'l', etc).
>>
>> My current naive attempt is:
>>
>> library(lattice)
>> library(ggplot2)
>>
>> geom_xyplot <- function (mapping = NULL, data = NULL, stat =
>> "identity",
>>                           position = "identity", na.rm = FALSE, type =
>> 'p', ...) {
>>
>>    if (any(type=='p')){
>>      geom_point(mapping = mapping, data = data, stat = stat,
>>                 position = position, na.rm = na.rm, ...)
>>    }
>>    if (any(type=='l')){
>>      geom_path(mapping = mapping, data = data, stat = stat,
>>                position = position, na.rm = na.rm, ...)
>>    }
>>    if (any(type%in%c('b','o'))){
>>      geom_point(mapping = mapping, data = data, stat = stat,
>>                 position = position, na.rm = na.rm, ...) +
>>        geom_path(mapping = mapping, data = data, stat = stat,
>>                  position = position, na.rm = na.rm, ...)
>>    }
>> }
>>
>> data <- data.frame(x = rep(1:4, each = 25),
>>                     y = rep(1:25, times = 4),
>>                     g = rep(1:4, each = 25))
>> data$x <- data$x + 0.005*(data$y)^2-0.1*data$y+1
>>
>> ggplot(data2, aes(x, y, group = g, colour = factor(g))) +
>> geom_xyplot(type = 'l')
>>
>> I get:
>>> Error: No layers in plot
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