import Raman measurements from Renishaw (possibly compressed) .txt file.
scan.txt.Renishaw(...)scan.zip.Renishaw(...)
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)),
...
)
the hyperSpec object
Arguments for read.txt.Renishaw
file name or connection
type of file, one of "spc", "xyspc", "zspc", "depth", "ts", see details.
number of lines to read in each chunk, if 0 or less read whole file at once.
nlines must cover at least one complete spectrum,i.e. nlines
must be at least the number of data points per spectrum. Reasonable
values start at 1e6.
number of spectra in the file
name of the .txt file in the .zip archive. Defaults to zip file's name with suffix .txt instead of .zip
C. Beleites
The file may be of any file type that can be read by
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 (NAs 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,
scan