[R] plot with different symbols and colors according to the factor levels

[Clint Bowman]

with(lili,plot(y,conc,pch=sample,col=sample,log="y"))

gives a better plot


Clint Bowman			INTERNET:	clint at ecy.wa.gov
Air Quality Modeler		INTERNET:	clint at math.utah.edu
Department of Ecology		VOICE:		(360) 407-6815
PO Box 47600			FAX:		(360) 407-7534
Olympia, WA 98504-7600

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On Tue, 30 Aug 2016, Clint Bowman wrote:

> Hanna,
>
> lili<-read.table("lili.txt",header=T)  # don't forget to label the row number 
> if it's in your data
>
> with(lili,plot(y,conc,pch=sample,col=sample))
>
> Clint
>
>
> Clint Bowman			INTERNET:	clint at ecy.wa.gov
> Air Quality Modeler		INTERNET:	clint at math.utah.edu
> Department of Ecology		VOICE:		(360) 407-6815
> PO Box 47600			FAX:		(360) 407-7534
> Olympia, WA 98504-7600
>
>         USPS:           PO Box 47600, Olympia, WA 98504-7600
>         Parcels:        300 Desmond Drive, Lacey, WA 98503-1274
>
> On Tue, 30 Aug 2016, li li wrote:
>
>>  Hi all,
>>  I have the following data. I want to plot the data (y ~ conc)
>>  with different symbols and colors corresponding to different levels of the
>>  factor sample.
>>  I could create a column with color and pch and then do the plot, but I am
>>  sure there are much better ways.
>>  Can anyone make suggestions?
>>   Hanna
>> 
>> 
>>
>>    y         conc sample
>>  1  33 20.000000000      1
>>  2  33  5.000000000      1
>>  3  35  1.250000000      1
>>  4  43  0.312500000      1
>>  5  58  0.078125000      1
>>  6  54  0.019531250      1
>>  7  57  0.004882812      1
>>  8  57  0.001220703      1
>>  9  32 20.000000000      1
>>  10 32  5.000000000      1
>>  11 34  1.250000000      1
>>  12 52  0.312500000      1
>>  13 57  0.078125000      1
>>  14 58  0.019531250      1
>>  15 59  0.004882812      1
>>  16 50  0.001220703      1
>>  17 34 20.000000000      2
>>  18 34  5.000000000      2
>>  19 38  1.250000000      2
>>  20 53  0.312500000      2
>>  21 57  0.078125000      2
>>  22 57  0.019531250      2
>>  23 57  0.004882812      2
>>  24 52  0.001220703      2
>>  25 34 20.000000000      2
>>  26 33  5.000000000      2
>>  27 36  1.250000000      2
>>  28 48  0.312500000      2
>>  29 58  0.078125000      2
>>  30 57  0.019531250      2
>>  31 58  0.004882812      2
>>  32 53  0.001220703      2
>>  33 34 20.000000000      2
>>  34 35  5.000000000      2
>>  35 37  1.250000000      2
>>  36 49  0.312500000      2
>>  37 55  0.078125000      2
>>  38 59  0.019531250      2
>>  39 57  0.004882812      2
>>  40 54  0.001220703      2
>>  41 36 20.000000000      3
>>  42 33  5.000000000      3
>>  43 36  1.250000000      3
>>  44 51  0.312500000      3
>>  45 57  0.078125000      3
>>  46 57  0.019531250      3
>>  47 59  0.004882812      3
>>  48 56  0.001220703      3
>>  49 33 20.000000000      3
>>  50 32  5.000000000      3
>>  51 35  1.250000000      3
>>  52 47  0.312500000      3
>>  53 57  0.078125000      3
>>  54 56  0.019531250      3
>>  55 57  0.004882812      3
>>  56 53  0.001220703      3
>>  57 33 20.000000000      3
>>  58 34  5.000000000      3
>>  59 38  1.250000000      3
>>  60 52  0.312500000      3
>>  61 56  0.078125000      3
>>  62 61  0.019531250      3
>>  63 56  0.004882812      3
>>  64 55  0.001220703      3
>>
>>   [[alternative HTML version deleted]]
>>
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>>  and provide commented, minimal, self-contained, reproducible code.
>> 
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>
>