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
plot with different symbols and colors according to the factor levels
5 messages · Li Li, Clint Bowman, Greg Snow +1 more
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]]
______________________________________________ R-help at 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.
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
USPS: PO Box 47600, Olympia, WA 98504-7600
Parcels: 300 Desmond Drive, Lacey, WA 98503-1274
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]]
______________________________________________ R-help at 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.
______________________________________________ R-help at 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.
And you can specify the symbols and colors using code like:
with(lili, plot(y,conc, pch= c(16,18,17)[sample],
col=c('red','green','blue')[sample], log="y"))
modifying to meet your data and preferences, of course.
On Tue, Aug 30, 2016 at 11:48 AM, Clint Bowman <clint at ecy.wa.gov> wrote:
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
USPS: PO Box 47600, Olympia, WA 98504-7600
Parcels: 300 Desmond Drive, Lacey, WA 98503-1274
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]]
______________________________________________ R-help at 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.
______________________________________________ R-help at 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.
______________________________________________ R-help at 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.
Gregory (Greg) L. Snow Ph.D. 538280 at gmail.com
Obter o Outlook para Android<https://aka.ms/ghei36>
On Tue, Aug 30, 2016 at 2:41 PM -0300, "Clint Bowman" <clint at ecy.wa.gov<mailto:clint at ecy.wa.gov>> 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]]
______________________________________________ R-help at 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.
______________________________________________ R-help at 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.