diveMove (version 1.3.2)

readLocs: Read comma-delimited file with location data

Description

Read a delimited (*.csv) file with (at least) time, latitude, longitude readings.

Usage

readLocs(locations, loc.idCol, idCol, dateCol, timeCol=NULL,
         dtformat="%m/%d/%Y %H:%M:%S", tz="GMT",
         classCol, lonCol, latCol, alt.lonCol=NULL, alt.latCol=NULL, ...)

Arguments

locations

character: a string indicating the path to the file to read, or a data.frame available in the search list. Provide the entire path if the file is not on the current directory. This can also

loc.idCol

integer: column number containing location ID. If missing, a loc.id column is generated with sequential integers as long as the input.

idCol

integer: column number containing an identifier for locations belonging to different groups. If missing, an id column is generated with number one repeated as many times as the input.

dateCol

integer: column number containing dates, and, optionally, times.

timeCol

integer: column number containing times.

dtformat

character: a string specifying the format in which the date and time columns, when pasted together, should be interpreted (see strptime) in file.

tz

character: a string indicating the time zone for the date and time readings.

lonCol

integer: column number containing longitude readings.

latCol

integer: column number containing latitude readings.

classCol

integer: column number containing the ARGOS rating for each location.

alt.lonCol

integer: column number containing alternative longitude readings.

alt.latCol

integer: Column number containing alternative latitude readings.

...

Passed to read.csv

Value

• A data frame.

Details

The file must have a header row identifying each field, and all rows must be complete (i.e. have the same number of fields). Field names need not follow any convention.

Examples

zz <- system.file(file.path("data", "sealLocs.csv"),
                  package="diveMove")
locs <- readLocs(zz, idCol=1, dateCol=2,
                 dtformat="%Y-%m-%d %H:%M:%S", classCol=3,
                 lonCol=4, latCol=5, sep=";")

summary(locs)