[R] Count of Histogram Bins using Shingles with lattice

[David L Carlson]

You can use the functions in lattice to compute the shingle and display the
results, but they do not seem to be stored:

> set.seed(42)
> vals <- runif(100)*100
> ints <- co.intervals(vals, number=5, overlap=.25)
> cts <- shingle(vals, ints)

cts contains has the original data and the range of each level. You can get
the counts in each level with 

> summary(cts)
Intervals:
          min      max count
1  0.02362834 25.54314    25
2 20.76563596 47.49997    25
3 39.84827982 66.74291    25
4 61.91566269 83.29187    25
5 77.58207495 98.88943    25

Overlap between adjacent intervals:
[1] 6 7 6 6

----------------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Burns, Jonathan (NONUS)
> Sent: Friday, February 08, 2013 12:45 PM
> To: r-help at r-project.org
> Subject: [R] Count of Histogram Bins using Shingles with lattice
> 
> I know that I can get a count of histogram bins in base R with
> plot=FALSE. However, I'd like to do the same thing with lattice.  The
> problem is that I've set up shingles, and I'd like to get the count
> within each bin within each shingle.  plot=FALSE doesn't seem to do it.
> 
> 
> 
> 	[[alternative HTML version deleted]]
> 
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