Create a rsk object.

as.rsk(
time,
columns,
filename = "",
instrumentType = "rbr",
serialNumber = "",
model = "",
sampleInterval = NA,
debug = getOption("oceDebug")
)

## Arguments

time a vector of times for the data. a list or data frame containing the measurements at the indicated times; see “Details”. optional name of file containing the data. type of instrument. serial number for instrument. instrument model type, e.g. "RBRduo". sampling interval. If given as NA, then this is estimated as the median difference in times. a flag that can be set to TRUE to turn on debugging.

An rsk object.

## Details

The contents of columns are be copied into the data slot of the returned object directly, so it is critical that the names and units correspond to those expected by other code dealing with rsk objects. If there is a conductivity, it must be called conductivity, and it must be in units of mS/cm. If there is a temperature, it must be called temperature, and it must be an in-situ value recorded in ITS-90 units. And if there is a pressure, it must be absolute pressure (sea pressure plus atmospheric pressure) and it must be named pressure. No checks are made within as.rsk on any of these rules, but if they are broken, you may expect problems with any further processing.

Other things related to rsk data: [[,rsk-method, [[<-,rsk-method, plot,rsk-method, read.rsk(), rsk-class, rskPatm(), rskToc(), rsk, subset,rsk-method, summary,rsk-method