Re: [R] Plotting symbols and colors based upon data values

From: David Winsemius <dwinsemius_at_comcast.net>
Date: Sun, 13 Mar 2011 21:46:06 -0400

On Mar 13, 2011, at 8:51 PM, Mark Linderman wrote:

> David, thank you for your quick reply. I spent a few minutes
> getting your
> command to work with some sparse synthetic data, and then spent
> several
> hours trying to figure out why my data didn't work (at least for
> symbols,
> colors look okay). I have massaged my data to where it is practically
> indistinguishable from the synthetic data - yet it still doesn't work.
> Attached are the two data files that can be plotted as follows:
>
> broken = read.table("broken.table",header=TRUE)
> works = read.table("works.table",header=TRUE)
> xyplot(Y ~ X | A, data=works, pch=works$C , col=works$B)
> xyplot(Y ~ X | A, data=broken, pch=broken$C , col=broken$B)

I get the same problem and after experimenting for a while I think I can solve it by randomizing the order of the entries:

 > broken <- broken[sample(417), ]

 > xyplot(Y ~ X | A, data=broken, pch=broken$C, col=broken$B)

Why xyplot should fail to properly assign pch values just because all "1"'s are at the beginning seems to me to be a bug.

-- 
David.

After confirming the the problem recurs when re-order()-ed by broken 
$C, I am appending dput( ordered-broken) for others to experiment

 > dput(broken[order(broken$C), ])
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119L, 82L, 120L, 23L, 139L, 28L, 42L, 180L, 24L, 145L, 71L, 13L,
95L, 94L, 104L, 149L, 74L, 32L, 184L, 11L, 114L, 90L, 70L, 63L,
141L, 192L, 126L, 153L, 172L, 26L, 151L, 109L, 133L, 79L, 35L,
61L, 43L, 52L, 29L, 30L, 80L, 154L, 7L, 121L, 122L, 106L, 182L,
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146L, 20L, 107L, 140L, 110L, 125L, 41L, 105L, 159L, 103L, 132L,
44L, 166L, 56L, 171L, 195L, 40L, 135L, 5L, 58L, 37L, 54L, 83L,
17L, 142L, 77L, 162L, 170L, 160L, 78L, 38L, 194L, 21L, 167L,
27L, 81L, 185L, 47L, 66L, 73L, 3L, 134L, 158L, 51L, 173L, 50L,
18L, 12L, 6L, 189L, 72L, 85L, 65L, 92L, 179L, 86L, 49L, 130L,
177L, 152L, 176L, 9L, 10L, 76L, 88L, 131L, 181L, 19L, 186L, 136L,
1L, 84L, 366L, 235L, 196L, 224L, 206L, 288L, 204L, 274L, 199L,
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), A = structure(c(1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L,
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), .Label = c("black", "blue", "orange", "red"), class = "factor"),
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>
> Only difference I see is that my data is largely sorted by $C
> whereas the
> working data frame is not. Not sure why that would make a
> difference.
>
> Thanks again for your help!
> Mark
>
>
>> head(broken)
> X Y A B C
> 1 0.3476158 0.5334874 Cat A red 1
> 2 0.5692598 0.3205288 Cat A red 1
> 3 0.5879649 0.3593725 Cat A black 1
> 4 0.9642691 0.9242240 Cat A black 1
> 5 0.5303471 0.7964391 Cat A red 1
> 6 0.9998770 0.1722618 Cat A black 1
>
>> head(works)
> X Y A B C
> 1 0.55722499 31 cat D yellow 2
> 2 0.75100600 32 cat B red 5
> 3 0.21665005 33 cat C green 4
> 4 0.01201102 34 cat B red 3
> 5 0.78503588 35 cat B black 2
> 6 0.53589896 36 cat D blue 5
> -----Original Message-----
> From: David Winsemius [mailto:dwinsemius@comcast.net]
> Sent: Saturday, March 12, 2011 10:39 PM
> To: Mark Linderman
> Cc: r-help_at_r-project.org
> Subject: Re: [R] Plotting symbols and colors based upon data values
>
>
> On Mar 12, 2011, at 7:57 PM, Mark Linderman wrote:
>
>> I am new to R and am sure this is simple, but I been unable to
>> find a
>> solution.
>>
>> I have 5 columns of data labeled "X", "Y", "A","B","C". I can easily
>> xyplot(Y ~ X | A) but I want the colors of the symbols to be based
>> upon the
>> values of B and the shape of the symbols to be determined by C.
>> There are
>> approximately four distinct values of B and C (say
>> "b1","b2","b3","b4"
>> and "c1","c2","c3","c4", respectively)
>>
> No data to check it against (despite the request for such that
> accompanies
> every posting) but see if this give the desired result:
>
> xyplot(Y ~ X | A, data=dfrm2, pch=dfrm2$C , col=dfrm2$B)
>
>
>> Either a solution or a pointer to a specific reference/example is
>> greatly appreciated.
>
> There are many in the contributed documentation as well as in
> Sarkar's book
> website and in the graphics galleries. As you suggested, it's pretty
> basic
> stuff since you are benefiting from Sarkar's effort to carry over
> some of
> the argument names from basic graphics. The one "trick" is to not
> rely on
> the argument being assumed to come from the environment of the `data`
> argument.
>
> --
>
> David Winsemius, MD
> West Hartford, CT
> <works.table><broken.table>
David Winsemius, MD West Hartford, CT ______________________________________________ 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.
Received on Mon 14 Mar 2011 - 03:03:39 GMT

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