readCGATS | R Documentation |
The CGATS text format supports a preamble followed by N tables, where N \ge
1.
Each table can have a separate header.
A table may or may not contain spectral data, see Note.
The function converts each table to a data.frame
with attributes;
see Details.
readCGATS( path, collapsesingle=FALSE )
path |
the path name of a single file, in CGATS format |
collapsesingle |
If |
The returned list is given attributes: "path"
, "preamble"
,
and (if present) "date"
, "created"
, "originator"
, and "file_descriptor"
.
The attribute values are all character vectors.
The value of attribute "path"
is the argument path
,
and the other values are extracted from "preamble"
.
The length of "preamble"
is (typically) greater than 1, and the others have length 1.
Each line of the preamble is a keyword-value pair.
The keyword ORIGINATOR
is converted to attribute "originator"
.
The keyword FILE_DESCRIPTOR
is converted to attribute "file_descriptor"
.
The keyword CREATED
is converted to attributes "created"
and "date"
.
The list is also given names
.
If the keyword TABLE_NAME
is present in the table header, then its value is used.
Otherwise the names are "TABLE_1"
, "TABLE_2"
, ...
Each data.frame
in the list is assigned attributes: "header"
,
and (if present) "descriptor"
.
The length of "header"
is (typically) greater than 1, and "descriptor"
has length 1.
Each line of the table header is a keyword-value pair.
The keywords DESCRIPTOR
and TABLE_DESCRIPTOR
are converted to attribute "descriptor"
.
For the lines between BEGIN_DATA
and END_DATA
,
two conventions for separating the values are supported:
In the standard convention, fields are separated by contiguous spaces or tabs, and character strings (which may have embedded spaces or even tabs)
are enclosed by double-quotes.
This is is the convention in the CGATS standard.
The function scan()
is used here.
In the non-standard convention, fields are separated by a single tab,
and character strings (which may have embedded spaces but not tabs) are not enclosed by double-quotes.
This convention is often easier to work with in spreadsheet software.
The function strsplit()
is used here.
The function readCGATS()
selects the separation convention
by examining the line after BEGIN_DATA_FORMAT
.
If this line is split by a single tab and the number of fields
matches that given on the NUMBER_OF_FIELDS
line,
then the non-standard convention is selected;
otherwise, the standard convention is selected.
readCGATS()
returns a list of data.frame
s -
one data.frame
for each table found in path
.
The list and each individual data.frame
have attributes, see Details.
If path
has only a single table (the majority of files have only 1)
and collapsesingle
is TRUE
, then the attributes of the list
are copied to those of the data.frame
,
and the data.frame
is then returned.
The name of the table is lost.
If there is an error in any table, then the function returns NULL
.
In the BEGIN_DATA_FORMAT
line(s),
field names may not be quoted and may not have embedded spaces.
The CGATS standard allows duplicated field names,
and readCGATS()
returns them as they appear, with no attempt to append numbers
in order to make them unique.
Examples of field names which may be duplicated are:
SPECTRAL_NM
, SPECTRAL_DEC
, and SPECTRAL_PCT
;
for more on these see readSpectraCGATS()
.
No attempt is made to recognize those tables that contain spectral data.
For conversion of spectral data to colorSpec objects, see readSpectraCGATS()
.
ANSI/CGATS.17. Graphic technology - Exchange format for colour and process control data using XML or ASCII text. https://webstore.ansi.org/ 2009.
ISO/28178. Graphic technology - Exchange format for colour and process control data using XML or ASCII text. https://www.iso.org/standard/44527.html. 2009.
CGATS.17 Text File Format. http://www.colorwiki.com/wiki/CGATS.17_Text_File_Format.
readSpectraCGATS
,
scan
,
strsplit
,
names
# read file with 2 tables of non-spectral data
A70 = readSpectra( system.file( "tests/A70.ti3", package='colorSpec' ) )
length(A70) # [1] 2 # the file has 2 tables
ncol( A70[[1]] ) # [1] 7 # the 1st table has 7 columns
ncol( A70[[2]] ) # [1] 4 # the 2nd table has 4 columns
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