> > Hello all, > > I am tracking hundreds of animals through a system with multiple timing > points. I want to graph the movement of individuals through the whole > array on one graph, but I can't figure out how to do that. An example of > my data is below. Basically for each 'TagID', I want to graph the 'date' > or 'gspd_mps' on the X axis and 'Station' on the Y axis, with all TagID's > on one graph. >Thanks for the help!! I'm very new to R. Natalie TagID Station datetime gspd_mps 4926 KLB 12/21/2012 1:52 NA 4926 MS01 12/21/2012 2:38 0.851 4926 MS02 12/21/2012 3:48 0.629 4926 MS03 12/21/2012 4:19 0.86 4926 MS04 12/21/2012 4:34 1.131 4926 MS05 12/21/2012 5:01 0.9 4926 MS06 12/21/2012 6:54 0.798 4926 MS07 12/21/2012 7:21 0.853 4926 MS08 12/21/2012 10:23 0.694 4926 MS09 12/21/2012 12:16 0.6 4926 MS10 12/21/2012 14:38 0.647 4929 KLB 12/21/2012 1:08 NA 4929 MS01 12/21/2012 2:12 0.611 4929 MS02 12/21/2012 3:33 0.563 4929 MS03 12/21/2012 3:59 1.04 4929 MS04 12/21/2012 4:13 1.082 4929 MS05 12/21/2012 5:00 0.475 4929 MS06 12/21/2012 6:52 0.796 4929 MS07 12/21/2012 7:32 0.563 4929 MS08 12/21/2012 10:16 0.809 4929 MS09 12/21/2012 11:43 0.783 4929 MS10 12/21/2012 14:02 0.657 4929 MS11 12/22/2012 2:50 0.326 4929 MS12 12/22/2012 5:04 0.709 4929 MS13 12/22/2012 13:59 0.688> >[[alternative HTML version deleted]]
>> >> Hello all, >> >> I am tracking hundreds of animals through a system with multiple timing >> points. I want to graph the movement of individuals through the whole >> array on one graph, but I can't figure out how to do that. An example >> of >> my data is below. Basically for each 'TagID', I want to graph the >> 'date' >> or 'gspd_mps' on the X axis and 'Station' on the Y axis, with all >> TagID's >> on one graph. >> >Hi Natalie, This can be done with the matplot function, but see previous posts on how to display dates if you have trouble with that. You will probably have to convert your dates to date objects with as.Date or strptime. Jim
Hi Natalie
Here is an option using lattice. I think below will get you some way to what
you want
This is your data formatted. in future please dput your data as your data
was scrambled.
# dput(dat)
dat <- structure(list(TagID = c(4926L, 4926L, 4926L, 4926L, 4926L, 4926L,
4926L, 4926L, 4926L, 4926L, 4926L, 4929L, 4929L, 4929L, 4929L,
4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L,
4929L), Station = c("KLB", "MS01", "MS02",
"MS03", "MS04", "MS05",
"MS06", "MS07", "MS08", "MS09",
"MS10", "KLB", "MS01", "MS02",
"MS03", "MS04", "MS05", "MS06",
"MS07", "MS08", "MS09", "MS10",
"MS11", "MS12", "MS13"), datetime =
c("12/21/2012 1:52", "12/21/2012 2:38",
"12/21/2012 3:48", "12/21/2012 4:19", "12/21/2012
4:34", "12/21/2012 5:01",
"12/21/2012 6:54", "12/21/2012 7:21", "12/21/2012
10:23", "12/21/2012
12:16",
"12/21/2012 14:38", "12/21/2012 1:08", "12/21/2012
2:12", "12/21/2012 3:33",
"12/21/2012 3:59", "12/21/2012 4:13", "12/21/2012
5:00", "12/21/2012 6:52",
"12/21/2012 7:32", "12/21/2012 10:16", "12/21/2012
11:43", "12/21/2012
14:02",
"12/22/2012 2:50", "12/22/2012 5:04", "12/22/2012
13:59"), gspd_mps = c(NA,
0.851, 0.629, 0.86, 1.131, 0.9, 0.798, 0.853, 0.694, 0.6, 0.647,
NA, 0.611, 0.563, 1.04, 1.082, 0.475, 0.796, 0.563, 0.809, 0.783,
0.657, 0.326, 0.709, 0.688)), .Names = c("TagID", "Station",
"datetime", "gspd_mps"), class = "data.frame",
row.names = c(NA,
-25L))
# factor of id
dat[,1] <- factor(dat[,1])
# convert to datetime
x <- paste(dat[,3])
x <- strptime(x, "%m/%d/%Y %H:%M")
I have added a few extra formatting options but I will leave you to format
the x labels as an exercise.
# lattice plot conditioned by station
library(lattice)
xyplot(gspd_mps ~ as.POSIXct(x)|Station, dat,
as.table = TRUE,
layout = c(1,14),
groups = TagID,
strip = FALSE,
type = c("p","g"),
par.settings = list(strip.background = list(col =
"transparent"),
superpose.symbol = list(cex = c(1,0.7),
col =
c("red","blue"),
pch = c(20,3))),
strip.left = strip.custom(par.strip.text = list(cex = 0.65) ),
scales = list(x = list(alternating = FALSE,
rot = 90)),
auto.key = TRUE
)
# using latticeExtra conditioned by station and tag
library(latticeExtra)
useOuterStrips(strip = strip.custom(factor.levels =
paste("TagID",
unique(dat$TagID)),
par.strip.text = list(cex = 0.85)),
strip.left = strip.custom(horizontal = TRUE,
par.strip.text = list(cex = 0.75)),
strip.left.lines = 2,
xyplot(gspd_mps ~ as.POSIXct(x)|TagID*Station, dat,
as.table = TRUE,
scales = list(x = list(alternating = FALSE,
rot = 90)),
type = c("p","g")
)
) ## useOuterStrips
useOuterStrips(strip = strip.custom(factor.levels =
paste("TagID",
unique(dat$TagID)),
par.strip.text = list(cex = 0.85)),
strip.left = strip.custom(horizontal = TRUE,
par.strip.text = list(cex = 0.75)),
strip.left.lines = 2,
xyplot(gspd_mps ~ as.POSIXct(x)|TagID*Station, dat,
as.table = TRUE,
scales = list(x = list(alternating = FALSE,
rot = 90)),
panel = function(x,y, ...){
panel.grid(h = 0, v= -1)
panel.xyplot(x,y,...)
}
)
) ## useOuterStrips
HTH
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mackay at northnet.com.au
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On
Behalf Of Natalie Houghton McNair
Sent: Monday, 25 November 2013 02:49
To: R-help at r-project.org
Subject: [R] Plotting multiple trends on one graph
>
> Hello all,
>
> I am tracking hundreds of animals through a system with multiple
> timing points. I want to graph the movement of individuals through
> the whole array on one graph, but I can't figure out how to do that.
> An example of my data is below. Basically for each 'TagID', I want
to
graph the 'date'> or 'gspd_mps' on the X axis and 'Station' on the Y axis,
with all
> TagID's on one graph.
>
Thanks for the help!! I'm very new to R.
Natalie
TagID Station datetime gspd_mps 4926 KLB 12/21/2012 1:52 NA 4926
MS01 12/21/2012
2:38 0.851 4926 MS02 12/21/2012 3:48 0.629 4926 MS03 12/21/2012 4:19 0.86
4926 MS04 12/21/2012 4:34 1.131 4926 MS05 12/21/2012 5:01 0.9 4926
MS06 12/21/2012
6:54 0.798 4926 MS07 12/21/2012 7:21 0.853 4926 MS08 12/21/2012 10:23
0.694 4926 MS09 12/21/2012 12:16 0.6 4926 MS10 12/21/2012 14:38 0.647
4929 KLB 12/21/2012 1:08 NA 4929 MS01 12/21/2012 2:12 0.611 4929
MS02 12/21/2012
3:33 0.563 4929 MS03 12/21/2012 3:59 1.04 4929 MS04 12/21/2012 4:13 1.082
4929 MS05 12/21/2012 5:00 0.475 4929 MS06 12/21/2012 6:52 0.796 4929
MS07 12/21/2012
7:32 0.563 4929 MS08 12/21/2012 10:16 0.809 4929 MS09 12/21/2012 11:43
0.783 4929 MS10 12/21/2012 14:02 0.657 4929 MS11 12/22/2012 2:50 0.326
4929 MS12 12/22/2012 5:04 0.709 4929 MS13 12/22/2012 13:59
0.688>
>
[[alternative HTML version deleted]]
______________________________________________
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.
I am not sure I have grasped what you want but have a look at this using
ggplot2 with Duncan's modified data set (with his factor and striptime
commands executed)
You will probably need to install ggplot2 :
install.packages("ggplot2)
library(ggplot2)
ggplot(dat, aes(gspd_mps, Station )) + geom_point() +
facet_grid(TagID ~ .)
John Kane
Kingston ON Canada
> -----Original Message-----
> From: nhoughton01 at gmail.com
> Sent: Sun, 24 Nov 2013 08:49:03 -0800
> To: r-help at r-project.org
> Subject: [R] Plotting multiple trends on one graph
>
>>
>> Hello all,
>>
>> I am tracking hundreds of animals through a system with multiple timing
>> points. I want to graph the movement of individuals through the whole
>> array on one graph, but I can't figure out how to do that. An
example
>> of
>> my data is below. Basically for each 'TagID', I want to graph
the
>> 'date'
>> or 'gspd_mps' on the X axis and 'Station' on the Y
axis, with all
>> TagID's
>> on one graph.
>>
>
> Thanks for the help!! I'm very new to R.
> Natalie
>
> TagID Station datetime gspd_mps 4926 KLB 12/21/2012 1:52 NA 4926
> MS01 12/21/2012
> 2:38 0.851 4926 MS02 12/21/2012 3:48 0.629 4926 MS03 12/21/2012 4:19
> 0.86
> 4926 MS04 12/21/2012 4:34 1.131 4926 MS05 12/21/2012 5:01 0.9 4926
> MS06 12/21/2012
> 6:54 0.798 4926 MS07 12/21/2012 7:21 0.853 4926 MS08 12/21/2012 10:23
> 0.694 4926 MS09 12/21/2012 12:16 0.6 4926 MS10 12/21/2012 14:38 0.647
> 4929 KLB 12/21/2012 1:08 NA 4929 MS01 12/21/2012 2:12 0.611 4929
> MS02 12/21/2012
> 3:33 0.563 4929 MS03 12/21/2012 3:59 1.04 4929 MS04 12/21/2012 4:13
> 1.082
> 4929 MS05 12/21/2012 5:00 0.475 4929 MS06 12/21/2012 6:52 0.796 4929
> MS07 12/21/2012
> 7:32 0.563 4929 MS08 12/21/2012 10:16 0.809 4929 MS09 12/21/2012 11:43
> 0.783 4929 MS10 12/21/2012 14:02 0.657 4929 MS11 12/22/2012 2:50 0.326
> 4929 MS12 12/22/2012 5:04 0.709 4929 MS13 12/22/2012 13:59 0.688
>>
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> 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.
____________________________________________________________
FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks & orcas on your
desktop!
Sending again as apparently did not make the list
Duncan
-----Original Message-----
From: Duncan Mackay [mailto:dulcalma at bigpond.com]
Sent: Monday, 25 November 2013 10:06
To: 'Natalie Houghton McNair'
Cc: R
Subject: RE: [R] Plotting multiple trends on one graph
Hi Natalie
Here is an option using lattice. I think below will get you some way to what
you want
This is your data formatted. in future please dput your data as your data
was scrambled.
# dput(dat)
dat <- structure(list(TagID = c(4926L, 4926L, 4926L, 4926L, 4926L, 4926L,
4926L, 4926L, 4926L, 4926L, 4926L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L,
4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L), Station =
c("KLB",
"MS01", "MS02", "MS03", "MS04",
"MS05", "MS06", "MS07", "MS08",
"MS09",
"MS10", "KLB", "MS01", "MS02",
"MS03", "MS04", "MS05", "MS06",
"MS07",
"MS08", "MS09", "MS10", "MS11",
"MS12", "MS13"), datetime = c("12/21/2012
1:52", "12/21/2012 2:38",
"12/21/2012 3:48", "12/21/2012 4:19", "12/21/2012
4:34", "12/21/2012 5:01",
"12/21/2012 6:54", "12/21/2012 7:21", "12/21/2012
10:23", "12/21/2012
12:16",
"12/21/2012 14:38", "12/21/2012 1:08", "12/21/2012
2:12", "12/21/2012 3:33",
"12/21/2012 3:59", "12/21/2012 4:13", "12/21/2012
5:00", "12/21/2012 6:52",
"12/21/2012 7:32", "12/21/2012 10:16", "12/21/2012
11:43", "12/21/2012
14:02",
"12/22/2012 2:50", "12/22/2012 5:04", "12/22/2012
13:59"), gspd_mps = c(NA,
0.851, 0.629, 0.86, 1.131, 0.9, 0.798, 0.853, 0.694, 0.6, 0.647, NA, 0.611,
0.563, 1.04, 1.082, 0.475, 0.796, 0.563, 0.809, 0.783, 0.657, 0.326, 0.709,
0.688)), .Names = c("TagID", "Station",
"datetime", "gspd_mps"), class "data.frame",
row.names = c(NA,
-25L))
# factor of id
dat[,1] <- factor(dat[,1])
# convert to datetime
x <- paste(dat[,3])
x <- strptime(x, "%m/%d/%Y %H:%M")
I have added a few extra formatting options but I will leave you to format
the x labels as an exercise.
# lattice plot conditioned by station
library(lattice)
xyplot(gspd_mps ~ as.POSIXct(x)|Station, dat,
as.table = TRUE,
layout = c(1,14),
groups = TagID,
strip = FALSE,
type = c("p","g"),
par.settings = list(strip.background = list(col =
"transparent"),
superpose.symbol = list(cex = c(1,0.7),
col =
c("red","blue"),
pch = c(20,3))),
strip.left = strip.custom(par.strip.text = list(cex = 0.65) ),
scales = list(x = list(alternating = FALSE,
rot = 90)),
auto.key = TRUE
)
# using latticeExtra conditioned by station and tag
library(latticeExtra)
useOuterStrips(strip = strip.custom(factor.levels =
paste("TagID",
unique(dat$TagID)),
par.strip.text = list(cex = 0.85)),
strip.left = strip.custom(horizontal = TRUE,
par.strip.text = list(cex = 0.75)),
strip.left.lines = 2,
xyplot(gspd_mps ~ as.POSIXct(x)|TagID*Station, dat,
as.table = TRUE,
scales = list(x = list(alternating = FALSE,
rot = 90)),
type = c("p","g")
)
) ## useOuterStrips
useOuterStrips(strip = strip.custom(factor.levels =
paste("TagID",
unique(dat$TagID)),
par.strip.text = list(cex = 0.85)),
strip.left = strip.custom(horizontal = TRUE,
par.strip.text = list(cex = 0.75)),
strip.left.lines = 2,
xyplot(gspd_mps ~ as.POSIXct(x)|TagID*Station, dat,
as.table = TRUE,
scales = list(x = list(alternating = FALSE,
rot = 90)),
panel = function(x,y, ...){
panel.grid(h = 0, v= -1)
panel.xyplot(x,y,...)
}
)
) ## useOuterStrips
HTH
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mackay at northnet.com.au
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On
Behalf Of Natalie Houghton McNair
Sent: Monday, 25 November 2013 02:49
To: R-help at r-project.org
Subject: [R] Plotting multiple trends on one graph
>
> Hello all,
>
> I am tracking hundreds of animals through a system with multiple
> timing points. I want to graph the movement of individuals through
> the whole array on one graph, but I can't figure out how to do that.
> An example of my data is below. Basically for each 'TagID', I want
to
graph the 'date'> or 'gspd_mps' on the X axis and 'Station' on the Y axis,
with all
> TagID's on one graph.
>
Thanks for the help!! I'm very new to R.
Natalie
TagID Station datetime gspd_mps 4926 KLB 12/21/2012 1:52 NA 4926
MS01 12/21/2012
2:38 0.851 4926 MS02 12/21/2012 3:48 0.629 4926 MS03 12/21/2012 4:19 0.86
4926 MS04 12/21/2012 4:34 1.131 4926 MS05 12/21/2012 5:01 0.9 4926
MS06 12/21/2012
6:54 0.798 4926 MS07 12/21/2012 7:21 0.853 4926 MS08 12/21/2012 10:23
0.694 4926 MS09 12/21/2012 12:16 0.6 4926 MS10 12/21/2012 14:38 0.647
4929 KLB 12/21/2012 1:08 NA 4929 MS01 12/21/2012 2:12 0.611 4929
MS02 12/21/2012
3:33 0.563 4929 MS03 12/21/2012 3:59 1.04 4929 MS04 12/21/2012 4:13 1.082
4929 MS05 12/21/2012 5:00 0.475 4929 MS06 12/21/2012 6:52 0.796 4929
MS07 12/21/2012
7:32 0.563 4929 MS08 12/21/2012 10:16 0.809 4929 MS09 12/21/2012 11:43
0.783 4929 MS10 12/21/2012 14:02 0.657 4929 MS11 12/22/2012 2:50 0.326
4929 MS12 12/22/2012 5:04 0.709 4929 MS13 12/22/2012 13:59
0.688>
>
[[alternative HTML version deleted]]
______________________________________________
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.
Hi
If you want to track the individual fish try turning the graph around. not
all is displayed - just a concept graph
windows(10,8)
xyplot(gspd_mps ~ as.POSIXct(x)|TagID, dat,
as.table = TRUE,
layout = c(1,14),
groups = Station,
strip = FALSE,
type = c("p","g"),
par.settings = list(strip.background = list(col =
"transparent"),
superpose.symbol = list(cex = c(1,0.7),
col = c(1:7),
pch = c(20,1:13))),
strip.left = strip.custom(par.strip.text = list(cex = 0.65) ),
scales = list(x = list(alternating = FALSE,
rot = 90)),
auto.key = list(points = TRUE, lines = F, rectangles = F, columns 8)
)
with more fish you can have more columns in the layout argument eg c(5,14)
which cuts down the graphs
Duncan
From: Natalie Houghton McNair [mailto:nhoughton01@gmail.com]
Sent: Wednesday, 27 November 2013 00:29
To: Duncan Mackay
Subject: Re: [R] Plotting multiple trends on one graph
Thank you!! This is a great graph! I hadn't envisioned one like this, but
it's very effective at displaying what I want to see. It works better with
a small number of individuals and I have hundreds, but I think I will use
this to display trends of some of the interesting outliers or identify
predation (I'm tracking juvenile fish).
Thanks again, I really appreciate your help!
Natalie
On Sun, Nov 24, 2013 at 4:05 PM, Duncan Mackay <dulcalma@bigpond.com>
wrote:
Hi Natalie
Here is an option using lattice. I think below will get you some way to what
you want
This is your data formatted. in future please dput your data as your data
was scrambled.
# dput(dat)
dat <- structure(list(TagID = c(4926L, 4926L, 4926L, 4926L, 4926L, 4926L,
4926L, 4926L, 4926L, 4926L, 4926L, 4929L, 4929L, 4929L, 4929L,
4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L, 4929L,
4929L), Station = c("KLB", "MS01", "MS02",
"MS03", "MS04", "MS05",
"MS06", "MS07", "MS08", "MS09",
"MS10", "KLB", "MS01", "MS02",
"MS03", "MS04", "MS05", "MS06",
"MS07", "MS08", "MS09", "MS10",
"MS11", "MS12", "MS13"), datetime =
c("12/21/2012 1:52", "12/21/2012 2:38",
"12/21/2012 3:48", "12/21/2012 4:19", "12/21/2012
4:34", "12/21/2012 5:01",
"12/21/2012 6:54", "12/21/2012 7:21", "12/21/2012
10:23", "12/21/2012
12:16",
"12/21/2012 14:38", "12/21/2012 1:08", "12/21/2012
2:12", "12/21/2012 3:33",
"12/21/2012 3:59", "12/21/2012 4:13", "12/21/2012
5:00", "12/21/2012 6:52",
"12/21/2012 7:32", "12/21/2012 10:16", "12/21/2012
11:43", "12/21/2012
14:02",
"12/22/2012 2:50", "12/22/2012 5:04", "12/22/2012
13:59"), gspd_mps = c(NA,
0.851, 0.629, 0.86, 1.131, 0.9, 0.798, 0.853, 0.694, 0.6, 0.647,
NA, 0.611, 0.563, 1.04, 1.082, 0.475, 0.796, 0.563, 0.809, 0.783,
0.657, 0.326, 0.709, 0.688)), .Names = c("TagID", "Station",
"datetime", "gspd_mps"), class = "data.frame",
row.names = c(NA,
-25L))
# factor of id
dat[,1] <- factor(dat[,1])
# convert to datetime
x <- paste(dat[,3])
x <- strptime(x, "%m/%d/%Y %H:%M")
I have added a few extra formatting options but I will leave you to format
the x labels as an exercise.
# lattice plot conditioned by station
library(lattice)
xyplot(gspd_mps ~ as.POSIXct(x)|Station, dat,
as.table = TRUE,
layout = c(1,14),
groups = TagID,
strip = FALSE,
type = c("p","g"),
par.settings = list(strip.background = list(col =
"transparent"),
superpose.symbol = list(cex = c(1,0.7),
col =
c("red","blue"),
pch = c(20,3))),
strip.left = strip.custom(par.strip.text = list(cex = 0.65) ),
scales = list(x = list(alternating = FALSE,
rot = 90)),
auto.key = TRUE
)
# using latticeExtra conditioned by station and tag
library(latticeExtra)
useOuterStrips(strip = strip.custom(factor.levels =
paste("TagID",
unique(dat$TagID)),
par.strip.text = list(cex = 0.85)),
strip.left = strip.custom(horizontal = TRUE,
par.strip.text = list(cex = 0.75)),
strip.left.lines = 2,
xyplot(gspd_mps ~ as.POSIXct(x)|TagID*Station, dat,
as.table = TRUE,
scales = list(x = list(alternating = FALSE,
rot = 90)),
type = c("p","g")
)
) ## useOuterStrips
useOuterStrips(strip = strip.custom(factor.levels =
paste("TagID",
unique(dat$TagID)),
par.strip.text = list(cex = 0.85)),
strip.left = strip.custom(horizontal = TRUE,
par.strip.text = list(cex = 0.75)),
strip.left.lines = 2,
xyplot(gspd_mps ~ as.POSIXct(x)|TagID*Station, dat,
as.table = TRUE,
scales = list(x = list(alternating = FALSE,
rot = 90)),
panel = function(x,y, ...){
panel.grid(h = 0, v= -1)
panel.xyplot(x,y,...)
}
)
) ## useOuterStrips
HTH
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mackay@northnet.com.au
-----Original Message-----
From: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org] On
Behalf Of Natalie Houghton McNair
Sent: Monday, 25 November 2013 02:49
To: R-help@r-project.org
Subject: [R] Plotting multiple trends on one graph
>
> Hello all,
>
> I am tracking hundreds of animals through a system with multiple
> timing points. I want to graph the movement of individuals through
> the whole array on one graph, but I can't figure out how to do that.
> An example of my data is below. Basically for each 'TagID', I want
to
graph the 'date'> or 'gspd_mps' on the X axis and 'Station' on the Y axis,
with all
> TagID's on one graph.
>
Thanks for the help!! I'm very new to R.
Natalie
TagID Station datetime gspd_mps 4926 KLB 12/21/2012 1:52 NA 4926
MS01 12/21/2012
2:38 0.851 4926 <tel:38%200.851%20%204926> MS02 12/21/2012 3:48 0.629
4926
<tel:48%200.629%20%204926> MS03 12/21/2012 4:19 0.86
4926 MS04 12/21/2012 4:34 1.131 4926 MS05 12/21/2012 5:01 0.9 4926
MS06 12/21/2012
6:54 0.798 4926 MS07 12/21/2012 7:21 0.853 4926 MS08 12/21/2012 10:23
0.694 4926 MS09 12/21/2012 12:16 0.6 4926 MS10 12/21/2012 14:38 0.647
4929 KLB 12/21/2012 1:08 NA 4929 MS01 12/21/2012 2:12 0.611 4929
MS02 12/21/2012
3:33 0.563 4929 MS03 12/21/2012 3:59 1.04 4929 MS04 12/21/2012 4:13 1.082
4929 MS05 12/21/2012 5:00 0.475 4929 MS06 12/21/2012 6:52 0.796 4929
MS07 12/21/2012
7:32 0.563 4929 MS08 12/21/2012 10:16 0.809 4929 MS09 12/21/2012 11:43
0.783 4929 MS10 12/21/2012 14:02 0.657 4929 MS11 12/22/2012 2:50 0.326
4929 MS12 12/22/2012 5:04 0.709 4929 MS13 12/22/2012 13:59
0.688>
>
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