Thanks, the ggplot2 strategy looks promising. For making
information-dense graphs, I tend to vacillate between lattice and
ggplot2. I should probably settle on one or the other and learn it
better. I'll admit I like the default look of lattice plots better, but
so far custom panel functions still baffle me.
--Chris
Tóth Dénes wrote:
You might also consider the Deducer package. You can build up a plot by
point and click and then have a look at (and amend) the code and learn the
syntax of ggplot2, which is a nice alternative to the lattice package.
The website of the Deducer package (www.deducer.org) is a good start.
------
Anyway:
------
mydata<- data.frame(county=factor(1:3),lowlim=c(3,6,4),uplim=c(4,7,6))
In Deducer choose:
Plots / Plot Builder ... Geometric elements / linerange
After running it, you get:
dev.new()
ggplot() +
geom_linerange(aes(x = county,ymin = lowlim,ymax = uplim),data=mydata)
The same in pure R:
library(ggplot2)
ggplot(data=mydata) +
geom_linerange(aes(x = county,ymin = lowlim,ymax = uplim))
HTH,
Denes
Well, a custom panel function is what you need (or one that may
already exist somewhere: try googling on "high low intervals in R
graphs" or some such).
So if you haven;t already done so, try Paul Morrell's Chapter on
lattice plots from his book for how panel functions work:
http://www.stat.auckland.ac.nz/~paul/RGraphics/chapter4.pdf
-- Bert
On Tue, Mar 22, 2011 at 12:12 PM, Christopher W Ryan
<cr...@binghamton.edu> wrote:
I have a dataframe that looks like this:
> str(chr)
'data.frame': 84 obs. of 7 variables:
$ county: Factor w/ 3 levels "Broome","Nassau",..: 3 3 3 3 3 3 3 3 3 3
...
$ item : Factor w/ 28 levels "Access to healthy foods",..: 21 19 20
18 16 3 2 6 17 8 ...
$ value : num 8644 15 3.5 3.9 7.7 ...
$ low : num 7897 9 2.5 2.6 7 ...
$ high : num 9390 22 4.5 5.2 8.4 37 30 23 24 101 ...
$ target: num 5034 11 2.7 2.6 6.1 ...
$ nys : num 6099 16 3.5 3.3 8 ...
head(chr)
county item value low high target nys
1 Sullivan Premature death 8644.0 7897.0 9390.0 5034.0 6099.0
2 Sullivan Poor or fair health 15.0 9.0 22.0 11.0 16.0
3 Sullivan Poor physical health days 3.5 2.5 4.5 2.7 3.5
4 Sullivan Poor mental health days 3.9 2.6 5.2 2.6 3.3
5 Sullivan Low birthweight 7.7 7.0 8.4 6.1 8.0
6 Sullivan Adult smoking 29.0 22.0 37.0 15.0 20.0
I'd like to graph high and low for "Premature death" for each of the
three counties, with 3 vertical line segments, one connecting those
two points for each county. I can get the two points for each county:
xyplot(low+high ~ county, data=subset(chr, item=="Premature death"))
but I have not yet been able to figure out how to draw the 3 vertical
line segments. Been struggling to understand panel functions, but no
success so far. I'd be grateful for any advice.
Thanks.
--Chris Ryan
SUNY Upstate Medical University
Clinical Campus at Binghamton
______________________________________________
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
--
Bert Gunter
Genentech Nonclinical Biostatistics
______________________________________________
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.
______________________________________________
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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.
