Thanks for the help- It worked just fine:
This will cast my ignorance across the table, but here it goes. Why do I
need to make them a matrix? because they are in a row? if
d <- as.matrix(f)
f.t <- t(d)
f.m <- as.data.frame(f.t)
now I could use just the following
plot(f.m[c(rownumber), column], f.m[c(rownumber), column])
?
I am sure that I need to brush up on underlying data structures, but I am
trying to analyze data as we speak and R along with all of your help is an
invaluable tool. Am I missing something easy, do I not understand the
logic/philosophy, or...?
thanks
Stephen
On Tue, May 6, 2008 at 12:53 PM, Yasir Kaheil <[EMAIL PROTECTED]> wrote:
>
> cast the two vectors as.matrix-- see here:
> plot(as.matrix(f[2,4:26]), as.matrix(f[1,4:26]))
>
> y
>
>
> stephen sefick wrote:
> >
> > f <- (structure(list(X = structure(96:97, .Label = c("119DAmm", "119DN",
> > "119DNN", "119DO", "119DOC", "119Flow", "119Nit", "119ON", "119OPhos",
> > "119OrgP", "119Phos", "119TKN", "119TOC", "148DAmm", "148DN",
> > "148DNN", "148DO", "148DOC", "148Flow", "148Nit", "148ON", "148OPhos",
> > "148OrgP", "148Phos", "148TKN", "148TOC", "179DAmm", "179DN",
> > "179DNN", "179DO", "179DOC", "179Flow", "179Nit", "179ON", "179OPhos",
> > "179OrgP", "179Phos", "179TKN", "179TOC", "185DAmm", "185DN",
> > "185DNN", "185DO", "185DOC", "185Flow", "185Nit", "185ON", "185OPhos",
> > "185OrgP", "185Phos", "185TKN", "185TOC", "190DAmm", "190DN",
> > "190DNN", "190DO", "190DOC", "190Flow", "190Nit", "190ON", "190OPhos",
> > "190OrgP", "190Phos", "190TKN", "190TOC", "198DAmm", "198DN",
> > "198DNN", "198DO", "198DOC", "198Flow", "198Nit", "198ON", "198OPhos",
> > "198OrgP", "198Phos", "198TKN", "198TOC", "202DAmm", "202DN",
> > "202DNN", "202DO", "202DOC", "202Flow", "202Nit", "202ON", "202OPhos",
> > "202OrgP", "202Phos", "202TKN", "202TOC", "215DAmm", "215DN",
> > "215DNN", "215DO", "215DOC", "215Flow", "215Nit", "215ON", "215OPhos",
> > "215OrgP", "215Phos", "215TKN", "215TOC", "61DAmm", "61DN", "61DNN",
> > "61DO", "61DOC", "61Flow", "61Nit", "61ON", "61OPhos", "61OrgP",
> > "61Phos", "61TKN", "61TOC", "BCOPhos", "BCOrgP", "BCPhos", "BCTKN",
> > "BCTOC", "HCDAmm", "HCDN", "HCDNN", "HCDO", "HCDOC", "HCFlow",
> > "HCNit", "HCON", "HCOPhos", "HCOrgP", "HCPhos", "HCTKN", "HCTOC",
> > "SCDAmm", "SCDN", "SCDNN", "SCDO", "SCDOC", "SCFlow", "SCNit",
> > "SCON", "SCOPhos", "SCOrgP", "SCPhos", "SCTKN", "SCTOC"), class =
> > "factor"),
> >
> > RiverMile = structure(c(8L, 8L), .Label = c("119", "148",
> > "179", "185", "190", "198", "202", "215", "61", "BC", "HC",
> > "SC"), class = "factor"), Constituent = structure(5:6, .Label =
> > c("DAmm",
> > "DN", "DNN", "DO", "DOC", "Flow", "Nit", "ON", "OPhos", "OrgP",
> > "Phos", "TKN", "TOC"), class = "factor"), X2.1.06 = c(2.5,
> > 2494), X4.1.06 = c(2.4, NA), X5.1.06 = c(2.3, NA), X6.1.06 = c(2.1,
> > NA), X7.1.06 = c(2, NA), X8.1.06 = c(1.9, NA), X9.1.06 = c(2,
> > NA), X10.1.06 = c(2.1, NA), X11.1.06 = c(2.9, NA), X12.1.06 = c(2.6,
> > NA), X1.1.07 = c(2.1, 4229.55), X2.1.07 = c(2.1, 1823.5),
> > X3.1.07 = c(2.8, 3617.5), X4.1.07 = c(2.3, NA), X5.1.07 = c(3.5,
> > NA), X6.1.07 = c(2.8, 10974.5), X7.1.07 = c(2.5, 9652), X8.1.07 =
> > c(2.4,
> >
> > 6700.5), X9.1.07 = c(2.2, 11438.5), X10.1.07 = structure(c(34L,
> > 33L), .Label = c("-0.0214", "-0.3660", "#VALUE!", "0.0000",
> > "0.0010", "0.0040", "0.0060", "0.0080", "0.0086", "0.0090",
> > "0.0100", "0.0110", "0.0120", "0.0140", "0.0220", "0.0230",
> > "0.0240", "0.0280", "0.0300", "0.0720", "0.0890", "0.1000",
> > "0.1200", "0.1280", "0.1400", "0.1500", "0.1880", "0.1910",
> > "0.2000", "0.2080", "0.2200", "0.3900", "1141.0000", "2.2000",
> > "2.3000", "2.5000", "2.6000", "2606.0000", "3.0000", "3.4000",
> > "4.5000", "4.6000", "4710.0000", "4720.0000", "4729.0000",
> > "6.9768", "7.7065", "7.7338", "8.0097"), class = "factor"),
> > X11.1.07 = c(2.2, 10968), X12.1.07 = c(2.2, 7361.5), X1.1.08 = c(2,
> > 6797)), .Names = c("X", "RiverMile", "Constituent", "X2.1.06",
> > "X4.1.06", "X5.1.06", "X6.1.06", "X7.1.06", "X8.1.06", "X9.1.06",
> > "X10.1.06", "X11.1.06", "X12.1.06", "X1.1.07", "X2.1.07", "X3.1.07",
> > "X4.1.07", "X5.1.07", "X6.1.07", "X7.1.07", "X8.1.07", "X9.1.07",
> > "X10.1.07", "X11.1.07", "X12.1.07", "X1.1.08"), row.names = c(NA,
> > -2L), class = "data.frame"))
> >
> > plot(f[2,4:26], f[1,4:26])
> >
> > #Error in plot.window(...) : need finite 'xlim' values
> > #In addition: Warning messages:
> > #1: In min(x) : no non-missing arguments to min; returning Inf
> > #2: In max(x) : no non-missing arguments to max; returning -Inf
> >
> > #I want a scatterplot like what I thought would happen with the plot
> > command
> > and the rows and columns that contain the data. If there is a NA in
> > either
> > case there is no point . plotted. This is how plot works with the data
> > in
> > columns, I think. This is a small example of a much larger data set are
> > there any suggestions. What am I missing?
> >
> > thanks
> >
> > stephen
> > --
> > Let's not spend our time and resources thinking about things that are so
> > little or so large that all they really do for us is puff us up and make
> > us
> > feel like gods. We are mammals, and have not exhausted the annoying
> little
> > problems of being mammals.
> >
> > -K. Mullis
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@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.
> >
> >
>
>
> -----
> Yasir H. Kaheil, Ph.D.
> Catchment Research Facility
> The University of Western Ontario
>
> --
> View this message in context:
> http://www.nabble.com/General-Plotting-Question-tp17087346p17087502.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@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.
>
--
Let's not spend our time and resources thinking about things that are so
little or so large that all they really do for us is puff us up and make us
feel like gods. We are mammals, and have not exhausted the annoying little
problems of being mammals.
-K. Mullis
[[alternative HTML version deleted]]
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