R/read.txt.Renishaw.R
read.txt.Renishaw.Rd
Import Raman measurements from Renishaw (possibly compressed) .txt
file.
read.txt.Renishaw( file = stop("file is required"), data = "xyspc", nlines = 0, nspc = NULL ) read.zip.Renishaw( file = stop("filename is required"), txt.file = sub("[.]zip", ".txt", basename(file)), ... )
file | file name or connection |
---|---|
data | type of file, one of "spc", "xyspc", "zspc", "depth", "ts", see details. |
nlines | number of lines to read in each chunk, if 0 or less read whole file at once.
|
nspc | number of spectra in the file |
txt.file | name of the .txt file in the .zip archive. Defaults to zip file's name with suffix .txt instead of .zip |
... | Arguments for |
the hyperSpec
object
The file may be of any file type that can be read by
base::gzfile()
(i.e. text, or zipped by gzip, bzip2, xz or
lzma). .zip zipped files need to be read using read.zip.Renishaw
.
Renishaw .wxd files are converted to .txt ASCII files by their batch converter. They come in a "long" format with columns (y x | time | z)? wavelength intensity. The first columns depend on the data type.
The corresponding possibilities for the data
argument are:
data | columns | |
"spc" | wl int | single spectrum |
"zspc" , "depth" | z wl int | depth profile |
"ts" | t wl int | time series |
"xyspc" | y x wl int | 2d map |
This function allows reading very large ASCII files, but it does not work
on files with missing values (NA
s are allowed).
If the file is so large that it sould be read in chunks and nspc
is
not given, read.txt.Renishaw
tries to guess it by using wc
(if installed).
read.txt.long()
, read.txt.wide()
,
base::scan()
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