plot with different symbols and colors according to the factor levels

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]]