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
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