Andrés,
Thank you for your help, but that does not capture what I'm looking for. I need
to be able to control the
shaded bound limits and they need to be coincident.
Tom
On 10/3/11 3:37 PM, Andrés Aragón wrote:
Hi,
Try some like this:
c<- ggplot(mtcars, aes(qsec, mpg, colour=factor(cyl)))
c + stat_smooth(aes(group=cyl))+stat_smooth(aes(fill=factor(cyl)))+geom_point()
Andrés AM
2011/10/3, Thomas Adams<thomas.ad...@noaa.gov>:
I'm interested in creating a graphic -like- this:
c<- ggplot(mtcars, aes(qsec, wt))
c + geom_point() + stat_smooth(fill="blue", colour="darkblue", size=2,
alpha = 0.2)
but I need to show 2 sets of bands (with different shading) using 5%,
25%, 75%, 95% limits that I specify and where the heavy blue line is the
median. I don't understand how to do this with ggplot2. What I am doing
currently is to generate 'boxplots' (with 5%, 25%, 75%, 95% limits) at
6-hourly time steps (so I have a series of boxplots, which you can see
by clicking on a map point:
http://www.erh.noaa.gov/mmefs/index_test.php?Lat=38.2&Lon=-80.1&Zoom=5&Refresh=0&RFCOverlay=0&Model=NAEFS).
Some who use our graphics would like to see something more like the
ggplot2 with stat_smooth graphic.
Help is much appreciated.
Regards,
Tom
--
Thomas E Adams
National Weather Service
Ohio River Forecast Center
1901 South State Route 134
Wilmington, OH 45177
EMAIL: thomas.ad...@noaa.gov
VOICE: 937-383-0528
FAX: 937-383-0033
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Thomas E Adams
National Weather Service
Ohio River Forecast Center
1901 South State Route 134
Wilmington, OH 45177
EMAIL: thomas.ad...@noaa.gov
VOICE: 937-383-0528
FAX: 937-383-0033
______________________________________________
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.
