Read a current-meter data file, producing a cm object.
read.cm(
file,
from = 1,
to,
by = 1,
tz = getOption("oceTz"),
type = c("s4"),
longitude = NA,
latitude = NA,
debug = getOption("oceDebug"),
encoding = "latin1",
monitor = FALSE,
processingLog
)An cm object.
The data slot will contain all the data in the file, with names
determined from the tokens in line 3 in that file, passed through
make.names(), except that
Vnorth is renamed v (after conversion from cm/s to m/s),
Veast is renamed u (after conversion from cm/s to m/s),
Cond is renamed conductivity,
T.Temp is renamed temperature
and
Sal is renamed salinity, and a new
column named time (a POSIX time) is constructed
from the information in the file header, and another named
pressure is constructed from the column named Depth.
At least in the single file studied in the creation of this function,
there are some columns that are unnamed in line 3 of the header;
these yield data items with names X, X.1, etc.
a connection or a character string giving the name of the file to load.
index number of the first measurement to be read, or the time of
that measurement, as created with as.POSIXct() (hint: use
tz="UTC").
indication of the last measurement to read, in a format matching that
of from.
an indication of the stride length to use while walking through the
file. If this is an integer, then by-1 measurements are skipped between
each pair of profiles that is read. This may not make much sense, if the data
are not equi-spaced in time. If by is a string representing a time
interval, in colon-separated format, then this interval is divided by the
sampling interval, to get the stride length. BUG: if the data are not
equi-spaced, then odd results will occur.
character string indicating time zone to be assumed in the data.
character string indicating type of file (ignored at present).
optional signed number indicating the longitude in degrees East.
optional signed number indicating the latitude in degrees North.
a flag that turns on debugging. The value indicates the depth within the call stack to which debugging applies.
a character value that indicates the encoding to be used for
this data file, if it is textual. The default value for most functions is
"latin1", which seems to be suitable for files containing text written in
English and French.
ignored.
if provided, the action item to be stored in the log. This parameter is typically only provided for internal calls; the default that it provides is better for normal calls by a user.
Prior to late July, 2016, the direction of current flow was stored in the
return value, but it is no longer stored, since it can be derived from the
u and v values.
Dan Kelley
There function has been tested on only a single file, and the data-scanning algorithm was based on visual inspection of that file. Whether it will work generally is an open question. It should be noted that the sample file had several odd characteristics, some of which are listed below.
file contained two columns named "Cond", which was guessed
to stand for conductivity. Since only the first contained data, the second was
ignored, but this may not be the case for all files.
The unit for "Cond" was stated in the file to be "mS",
which makes no sense, so the unit was assumed to be mS/cm.
The file contained a column named "T-Temp", which is not
something the author has seen in his career. It was assumed to stand for
in-situ temperature.
The file contained a column named "Depth", which is not something
an instrument can measure. Presumably it was calculated from pressure (with
what atmospheric offset, though?) and so pressure was inferred from it using
swPressure().
The file contained several columns that lacked names. These were ignored.
The file contained several columns that seem to be derived from the
actual measured data, such as "Speed", "Dir", "N-S Dist",
etc. These are ignored.
The file contained several columns that were basically a mystery to the
author, e.g. "Hx", "Hy", "Vref", etc. These were ignored.
Based on such considerations, read.cm() reads only the columns that
were reasonably well-understood based on the sample file. Users who need more
columns should contact the author. And a user who could produce a document
explaining the data format would be especially appreciated!
Other things related to cm data:
[[,cm-method,
[[<-,cm-method,
as.cm(),
cm-class,
cm,
plot,cm-method,
rotateAboutZ(),
subset,cm-method,
summary,cm-method
if (FALSE) {
library(oce)
cm <- read.oce("cm_interocean_0811786.s4a.tab")
summary(cm)
plot(cm)
}
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