Re: [R] ggplot2, density barplot and geom_point layer

2010-04-07 Thread Johannes Graumann
Thanks so much. Solved.

Joh

hadley wickham wrote:

> Because of the way you've constructed the plot with qplot, you need to
> use:
> 
> myPlot + geom_point(
>  data=medians,
>  aes(x=med,shape=cut, y=0),
>  size=2.5,
> )
> 
> Hadley
> 
> On Wed, Apr 7, 2010 at 5:11 AM, Johannes Graumann
>  wrote:
>> Hi,
>>
>> Please consider the example below. How can I manage to overlay the points
>> the way I want in the second case?
>>
>> Thanks, Joh
>>
>> library(ggplot2)
>>
>> # Modify data to match "real" case
>> myDiamonds <- diamonds
>> myDiamonds[["clarity"]] <- as.character(myDiamonds[["clarity"]])
>> myDiamonds[myDiamonds[["clarity"]]=="I1","clarity"] <- 1
>> myDiamonds[myDiamonds[["clarity"]]=="SI2","clarity"] <- 2
>> myDiamonds[myDiamonds[["clarity"]]=="SI1","clarity"] <- 3
>> myDiamonds[myDiamonds[["clarity"]]=="VS2","clarity"] <- 4
>> myDiamonds[myDiamonds[["clarity"]]=="VS1","clarity"] <- 5
>> myDiamonds[myDiamonds[["clarity"]]=="VVS2","clarity"] <- 6
>> myDiamonds[myDiamonds[["clarity"]]=="VVS1","clarity"] <- 7
>> myDiamonds[myDiamonds[["clarity"]]=="IF","clarity"] <- 8
>> myDiamonds[["clarity"]] <- as.numeric(myDiamonds[["clarity"]])
>>
>> # Calculate medians
>> medians <- ddply(
>> myDiamonds,
>> .(cut),
>> summarize,
>> med=median(clarity, na.rm=TRUE)
>> )
>>
>> # Works
>> myPlot <- qplot(
>> factor(clarity),
>> data=myDiamonds,
>> fill=cut,
>> geom="bar",
>> position="dodge"
>> )
>>
>> myPlot +
>> geom_point(
>> data=medians,
>> aes(x=med,shape=cut),
>> y=0,
>> size=2.5,
>> )
>>
>> # Doesn't work - I want density rather than count
>> myPlot <-qplot(
>> factor(clarity),
>> y=..count../sum(..count..),
>> data=myDiamonds,
>> fill=cut,
>> geom="bar",
>> position="dodge"
>> )
>>
>> myPlot +
>> geom_point(
>> data=medians,
>> aes(x=med,shape=cut),
>> y=0,
>> size=2.5,
>> )
>>
>> __
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html and provide commented,
>> minimal, self-contained, reproducible code.
>>
> 
> 
>

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] ggplot2, density barplot and geom_point layer

2010-04-07 Thread hadley wickham
Because of the way you've constructed the plot with qplot, you need to use:

myPlot + geom_point(
 data=medians,
 aes(x=med,shape=cut, y=0),
 size=2.5,
)

Hadley

On Wed, Apr 7, 2010 at 5:11 AM, Johannes Graumann
 wrote:
> Hi,
>
> Please consider the example below. How can I manage to overlay the points
> the way I want in the second case?
>
> Thanks, Joh
>
> library(ggplot2)
>
> # Modify data to match "real" case
> myDiamonds <- diamonds
> myDiamonds[["clarity"]] <- as.character(myDiamonds[["clarity"]])
> myDiamonds[myDiamonds[["clarity"]]=="I1","clarity"] <- 1
> myDiamonds[myDiamonds[["clarity"]]=="SI2","clarity"] <- 2
> myDiamonds[myDiamonds[["clarity"]]=="SI1","clarity"] <- 3
> myDiamonds[myDiamonds[["clarity"]]=="VS2","clarity"] <- 4
> myDiamonds[myDiamonds[["clarity"]]=="VS1","clarity"] <- 5
> myDiamonds[myDiamonds[["clarity"]]=="VVS2","clarity"] <- 6
> myDiamonds[myDiamonds[["clarity"]]=="VVS1","clarity"] <- 7
> myDiamonds[myDiamonds[["clarity"]]=="IF","clarity"] <- 8
> myDiamonds[["clarity"]] <- as.numeric(myDiamonds[["clarity"]])
>
> # Calculate medians
> medians <- ddply(
>  myDiamonds,
>  .(cut),
>  summarize,
>  med=median(clarity, na.rm=TRUE)
> )
>
> # Works
> myPlot <- qplot(
>  factor(clarity),
>  data=myDiamonds,
>  fill=cut,
>  geom="bar",
>  position="dodge"
> )
>
> myPlot +
> geom_point(
>  data=medians,
>  aes(x=med,shape=cut),
>  y=0,
>  size=2.5,
> )
>
> # Doesn't work - I want density rather than count
> myPlot <-qplot(
>  factor(clarity),
>  y=..count../sum(..count..),
>  data=myDiamonds,
>  fill=cut,
>  geom="bar",
>  position="dodge"
> )
>
> myPlot +
> geom_point(
>  data=medians,
>  aes(x=med,shape=cut),
>  y=0,
>  size=2.5,
> )
>
> __
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.