[R] ggplot2 and facet_wrap help

[francesca casalino]

Dear Ista,

Thank you! It works perfectly!
-fra

2013/2/18 Ista Zahn <istazahn at gmail.com>:
> Hi,
>
> You are making it more complicated than it needs to be. You already
> provided the data.frame in the ggplot call, so you don't need to
> specify it in the aes calls. The various factor() and as.factor()
> calls are also unnecessary. So stripping away this extra stuff your
> plot looks like
>
> ggplot(data=mydf, aes(x=size2,
>          y=median_price,
>          group=clarity,
>          colour=clarity)) +
>   geom_line() +
>   facet_wrap(~ size1)
>
> which does give the desired display.
>
> Best,
> Ista
>
> On Mon, Feb 18, 2013 at 6:04 AM, francesca casalino
> <francy.casalino at gmail.com> wrote:
>> Dear R experts,
>>
>> I am trying to arrange multiple plots, creating one graph for each
>> size1 factor variable in my data frame, and each plot has the median
>> price on the y-axis and the size2 on the x-axis grouped by clarity:
>>
>> library(ggplot2)
>>
>> df <- data.frame(price=matrix(sample(1:1000, 100, replace = TRUE), ncol = 1))
>>
>> df$size1 = 1:nrow(df)
>> df$size1 = cut(df$size1, breaks=11)
>> df=df[sample(nrow(df)),]
>> df$size2 = 1:nrow(df)
>> df$size2 = cut(df$size2, breaks=11)
>> df=df[sample(nrow(df)),]
>> df$clarity = 1:nrow(df)
>> df$clarity = cut(df$clarity, breaks=6)
>>
>>
>> mydf = aggregate(df$price, by=list(df$size1, df$size2, df$clarity),median)
>>
>> names(mydf)[1] = 'size1'
>> names(mydf)[2] = 'size2'
>> names(mydf)[3] = 'clarity'
>> names(mydf)[4] = 'median_price'
>>
>> # So my data is already in a "long" format I think, but when I do this:
>>
>> ggplot(data=mydf, aes(x=mydf$size2, y=mydf$median_price,
>> group=as.factor(mydf$clarity), colour=as.factor(mydf$clarity))) +
>> geom_line() + facet_wrap(~ factor(mydf$size1))
>>
>>
>> I get this error:
>> "Error in layout_base(data, vars, drop = drop) :
>>   At least one layer must contain all variables used for facetting"
>>
>> Can you please help me understand what I am doing wrong?
>> -fra
>>
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