[R] adding vertical segments to an xyplot in lattice

[Chris Ryan]

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
>> <cryan at 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
>>>
>>> ______________________________________________
>>> R-help at 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.
>>>
>>
>>
>>
>> --
>> Bert Gunter
>> Genentech Nonclinical Biostatistics
>>
>> ______________________________________________
>> R-help at 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.
>>
>
>