swfscDAS (version 0.6.2)

das_read: Read DAS file(s)

Description

Read one or more fixed-width DAS text file(s) generated by WinCruz into a data frame, where each line is data for a specific event

Usage

das_read(file, skip = 0, ...)

Value

A das_dfr object, which is also a data frame, with DAS data read into columns. The data are read into the data frame as characters as described in 'Details', with the following exceptions:

Name	Class	Details
EffortDot	logical	TRUE if "." was present, and FALSE otherwise
DateTime	POSIXct	combination of 'Date' and 'Time' columns
Lat	numeric	'Latitude' column converted to decimal degrees in range [-90, 90]
Lon	numeric	'Longitude' column converted to decimal degrees in range [-180, 180]
Data#	character	leading/trailing whitespace trimmed for non-comment events (i.e. where 'Event' is not "C")
EventNum	character	leading/trailing whitespace trimmed; left as character for some project-specific codes
file_das	character	base filename, extracted from the file argument
line_num	integer	line number of each data row

DateTime values have a (meaningless) time zone value of "UTC". See the OffsetGMT column from das_process

for relevant time zone information

Warnings are printed if any unexpected events have NA DateTime/Lat/Lon values, or if any Lat/Lon values cannot be converted to numeric values. Events that are 'expected' to have NA DateTime/Lat/Lon values are: C, ?, 1, 2, 3, 4, 5, 6, 7, 8

Arguments

file

filename(s) of one or more DAS files

skip

integer; see read_fwf. Default is 0

...

ignored

Details

Reads/parses DAS data into columns of a data frame. If file contains multiple filenames, then the individual data frames will be concatenated.

The provided DAS file must adhere to the following column number and format specifications:

Item	Columns	Format
Event number	1-3
Event	4
Effort dot	5
Time	6-11	HHMMSS or HHMM
Date	13-18	MMDDYY
Latitude	20-28	NDD:MM.MM
Longitude	30-39	WDDD:MM.MM
Data1	40-44
Data2	45-49
Data3	50-54
Data4	55-59
Data5	60-64
Data6	65-69
Data7	70-74
Data8	75-79
Data9	80-84
Data10	85-89
Data11	90-94
Data12	95+

See das_format_pdf for more information about DAS format requirements, and note that 'Data#' columns may be referred to as 'Field#' columns in other documentation.

Examples

y <- system.file("das_sample.das", package = "swfscDAS")
das_read(y)