ImportSamples {TargetSearch} | R Documentation

## Sample definitions

### Description

These functions import sample information from either a tab delimited file or a file system path. The sample information contain sample names, CDF files and their measurement day, also known as, measurement run or measurement batch.

### Usage

    ImportSamples(sampfile, CDFpath, RIpath, ftype=c("binary", "text"), ...)

    ImportSamplesFromDir(CDFpath=".", RIfiles=FALSE, ftype=c("binary", "text"),
    		verbose=FALSE, ...)

### Arguments

`sampfile` | A character string naming a sample file or a `data.frame`. See details.
`CDFpath` | A character string naming a directory where the CDF files are located (by default is the current directory)
`RIpath` | A character string naming a directory where the RI corrected text files are/will be located.
`RIfiles` | Logical. If `TRUE`, the function will look for for RI files (RI_*) instead of CDF files (the default).
`ftype` | A character string giving the file type for RI files. Options are "binary" and "text".
`verbose` | Logical. Show more output if `TRUE`.
`...` | Extra options whose meaning depend on the function: for `ImportSamples`, the options will be passed to `read.delim`, while for `ImportSamplesFromDir`, these are passed to `dir`

.

### Details

The sample file is a tab-delimited text file or, alternatively, a `data.frame` like the one would get by calling `read.delim`. The following columns are expected, though only the first one below is mandatory.

- `CDF_FILE` - The list of baseline corrected CDF files (mandatory).

- `MEASUREMENT_DAY` - The day or batch when the sample was measured (optional).

- `SAMPLE_NAME` - A unique sample identifier (optional).

The function first looks for columns matching those names. If they are not found, then it looks for columns with the substrings 'cdf', 'day' and 'name' respectively. If the 'cdf' column is not found, the function raises an error, but if 'day' is not found, then it assumes the measurement day is the same for all. Moreover, if the column for sample names/idenfiers is missing, then the function uses the 'cdf' file names as identifiers.

During the column matching, the first match is taken in case of ambiguity. The column order does not matter. Other columns could be included in that file. They won't be used by the script, but will be included in the "sample" R object.

The files given in the 'cdf' column may optionally include a relative path, such as `mypath/myfile.cdf`, which will be relative to the working directory or relative to the argument `CDFpath`. Optionally, the file extension can be omitted because ‘TargetSearch’ adds the `.cdf` extension automatically if missing. Note: it may fail in case sensitive file systems as a lower case extension is appended.

If the parameter `CDFpath` is missing, then the current directory is used. If `RIpath` is missing, the value of `CDFpath` will be used.

The `ftype` parameter sets the file format of the RI files, which are created by the function `RIcorrect`. "text" is the classic text format and "binary" is a binary version, designed for speed, of the text format (TargetSearch >= 1.12.0). The file format can be identified by the file extension (".txt" for text, ".dat" for binary), but this is just an indicator: the file format is detected dinamically during file reading. Use the method `fileFormat` to set or get this parameter.

The function `ImportSamplesFromDir` scans for cdf files in the current or given directory. The search can be made recursive by passing the parameter `recursive=TRUE` (actually passed to `dir`).

The parameter `verbose` will print a list of detected files is set to `TRUE`. This can be used for debugging.

### Value

A `tsSample` object.

### Author(s)

Alvaro Cuadros-Inostroza, Matthew Hannah, Henning Redestig

### See Also

`ImportLibrary`, `tsSample`

### Examples

    # get the sample definition definition file
    cdfpath <- file.path(find.package("TargetSearchData"), "gc-ms-data")
    sample.file  <- file.path(cdfpath, "samples.txt")

    # set a path where the RI files will be created
    RIpath <- "."

    # import samples
    sampleDescription <- ImportSamples(sample.file, CDFpath = cdfpath, RIpath = RIpath)

    # change the sample names. It is required that the names must be unique.
    sampleNames(sampleDescription) <- paste("Sample", 1:length(sampleDescription), sep = "_")

    # change the file paths (relative to the working path)
    CDFpath(sampleDescription) <- "my_cdfs"
    RIpath(sampleDescription)  <- "my_RIs"

[Package TargetSearch version 1.48.0 Index]