On Wed, Apr 22, 2020 at 11:44 PM Cade, Brian S via R-help
<r-help@r-project.org> wrote:
>
> All the xYplot() functions using Cbind() or cbind() does just exactly what I 
> want (Cbind
> provides aplot of 3 summary statistics and cbind provides the raw values).  I 
> just cannot
> find anyway to overlay them.

You are not really helping yourself by not providing reproducible code.

If you are lucky, the following might give you what you want:

library(latticeExtra)
p1 <- xYplot(...) # your first plot
p2 <- xYplot(...) # your second plot
p1 + p2

Or it might not.

-Deepayan

> Brian
>
>
> Brian S. Cade, PhD
>
> U. S. Geological Survey
> Fort Collins Science Center
> 2150 Centre Ave., Bldg. C
> Fort Collins, CO  80526-8818
>
> email:  ca...@usgs.gov<mailto:brian_c...@usgs.gov>
> tel:  970 226-9326
>
> ________________________________
> From: David Winsemius <dwinsem...@comcast.net>
> Sent: Wednesday, April 22, 2020 11:10 AM
> To: Cade, Brian S <ca...@usgs.gov>; r-help <r-help@r-project.org>
> Subject: [EXTERNAL] Re: [R] overlaying graphs in xYplot (Hmisc)
>
>
> On 4/22/20 7:31 AM, Cade, Brian S via R-help wrote:
> > Hi All.  I am trying to construct a graph using the xYplot() function in 
> > Hmisc package (thank you Frank Harrell) taking advantage of the Cbind() 
> > argument for plotting the median, 10th, and 90th quantiles and also the 
> > cbind() argument for individual data values.  I know how to do both of 
> > these separately, but I would really like to have them overlayed on each 
> > other.  I've tried various approaches with add=T, new=T, etc and none of 
> > those seem to work with xYplot().  Any pointers?
>
>
> I don't know the answer and you have presented no data or code, so I'm
> just going to address the question in the most halting and vague manner
> by first looking at the code and then looking at the documentaion.
> (That's possibly the reverse of the proper order.) The plotting
> functions in pkg:Hmisc can be in any of the three plotting paradigms. If
> you look at the code for xYplot it becomes almost immediately obvious
> that it is operative within the lattice plotting paradigm. (That means
> that using `new=T` or `add=T` would not work since those are base
> plotting strategies.)
>
>
> I'm not sure what the term "Cbind argument" might mean to you (and I've
> never used it), but I suspect you are intending to use a call to `Cbind`
> on the left hand side of a formula argument for xYplot.
>
> Re: The goal of "plotting the median, 10th, and 90th quantiles and also
> the cbind() argument for individual data values."
>
> It appears to me from the documentation that you would be expected to do some 
> pre-processing to aggregate your data into a summary format by groups before 
> plotting and then use named arguments to Cbind to designate the appropriate 
> columns to be used for median and the outer quantiles. See the example using 
> the dataset named dfr in the ?xYplot page following these comments:
>
> # The following example uses the summarize function in Hmisc to
> # compute the median and outer quartiles.  The outer quartiles are
> # displayed using "error bars"
>
> It should be trivial to modify the call to `summarize` to get .1 and .9 
> quantiles instead of quartiles.
>
> --
> David.
>
>
>
> >
> > Brian
> >
> >
> > Brian S. Cade, PhD
> >
> > U. S. Geological Survey
> > Fort Collins Science Center
> > 2150 Centre Ave., Bldg. C
> > Fort Collins, CO  80526-8818
> >
> > email:  ca...@usgs.gov<mailto:brian_c...@usgs.gov>
> > tel:  970 226-9326
> >
> >
> >        [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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.
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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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