So with case (6) here's the general structure of what I have:
chw = read.table("crac.csv", skip = 1, header = TRUE,
colClasses = rep(c("NULL", NA, "numeric", "NULL"),
c(3, 1, 1, 24)),
sep = ",")
chw$Time.1 = as.POSIXct(chw$Time.1, format = fmt, tz = TZ)
chw = na.omit(chw)
chw = read.zoo(chw, header = TRUE,
colClasses = rep(c(NA, "numeric"), c(1, 1)),
FUN = chr, aggregate = tail1)
You don't have to try this, but the main point is that
read.table -> POSIXct -> na.omit -> read.zoo and chron
I guess this alternative solution is adequate along with using readLines.
Initially I was hoping just a simple read.zoo would do the trick. The catch
is that I need the index/timestamp column to be in chron format for an easy
na.approx function to deal with things. Thank you for the readLines
suggestion Rui. Much appreciated.
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