This is an example of two months of data from a twenty four month data set
that I would like to apply this too. These data are subsets of the same
stations throught time, but differing ones were included on different
sampling dates. I would like to subset these data and then put them
together as a big matrix with the by column being RiverMile. What is the
easiest way to proceed as this is a process that will be done on 96+
constituents?
feb06 <- structure(list(RiverMile = c(202L, 190L, 185L), X2.1.06 =
c(2850000,
NA, NA)), .Names = c("RiverMile", "X2.1.06"), row.names = c(29L,
31L, 32L), class = "data.frame")
may06 <- structure(list(RiverMile = c(202L, 198L, 190L, 185L, 148L), X5.1.06
= c(NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_)), .Names = c("RiverMile",
"X5.1.06"), row.names = c(29L, 30L, 31L, 32L, 34L), class = "data.frame")
merge(feb06, may06, by="RiverMile")
Error in fix.by(by.x, x) :
'by' must specify column(s) as numbers, names or logical
#I have provided the column name. Is it because they are of differing
lengths?
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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