Luminescence (version 1.3.0)

merge_RLum.Data.Spectrum: Merge function for RLum.Data.Spectrum S4 class objects

Description

This function allows to merge RLum.Data.Spectrum objects in different ways without modifying the original objects.

Usage

merge_RLum.Data.Spectrum(
  object,
  merge.method = c("mean", "median", "sum", "sd", "var", "min", "max", "append", "-",
    "*", "/"),
  method.info = NULL,
  max.temp.diff = 0.1
)

Value

Returns an RLum.Data.Spectrum object.

Arguments

object

list of RLum.Data.Spectrum (required): list of objects to be merged.

merge.method

character (required): method for combining of the objects, e.g. 'mean' (default), 'median', 'sum', see details for further information and allowed methods. Note: Elements in slot info will be taken from the first object in the list.

method.info

numeric (optional): allows to specify how info elements of the input objects are combined, e.g. 1 means that just the elements from the first object are kept, 2 keeps only the info elements from the 2 object etc. If set to NULL, all elements are combined.

max.temp.diff

numeric (with default): maximum difference in the time/temperature values between the spectra to be merged: when differences exceed this threshold value, the merging occurs but a warning is raised.

S3-generic support

This function is fully operational via S3-generics: +, -, /, *, merge

Function version

0.1.2

Author

Marco Colombo, Institute of Geography, Heidelberg University (Germany) Sebastian Kreutzer, F2.1 Geophysical Parametrisation/Regionalisation, LIAG - Institute for Applied Geophysics (Germany) , RLum Developer Team

How to cite

Colombo, M., Kreutzer, S., 2026. merge_RLum.Data.Spectrum(): Merge function for RLum.Data.Spectrum S4 class objects. Function version 0.1.2. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J., Mercier, N., Philippe, A., Riedesel, S., Autzen, M., Mittelstrass, D., Gray, H.J., Galharret, J., Colombo, M., Steinbuch, L., Boer, A.d., Bluszcz, A., 2026. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 1.3.0. https://r-lum.github.io/Luminescence/

Details

Supported merge operations are:

"mean" (default)

The mean over the cell values is calculated using the function rowMeans.

"median"

The median over the cell values is calculated using the function matrixStats::rowMedians.

"sum"

All cell values will be summed up using the function rowSums.

"sd"

The standard deviation over the cell values is calculated using the function matrixStats::rowSds.

"var"

The variance over the cell values is calculated using the function matrixStats::rowVars.

"min"

The min values from the cell values is chosen using the function matrixStats::rowMins.

"max"

The max values from the cell values is chosen using the function matrixStats::rowMins.

"append" (only for RLum.Data.Curve)

Appends cell values of all curves to one combined data curve. The channel width is automatically re-calculated, but requires a constant channel width of the original data.

"-"

The cell sums of the last objects are subtracted from the first object.

"*"

The cell sums of the last objects are multiplied with the first object.

"/"

Values of the first object are divided by cell sums of the last objects.

See Also

merge_RLum, RLum.Data.Spectrum

Examples

## load example data
data(ExampleData.XSYG, envir = environment())

## plot single curve
plot_RLum(TL.Spectrum)

## sum two copies of the same curve
merged <- merge_RLum.Data.Spectrum(list(TL.Spectrum, TL.Spectrum),
                                   merge.method = "sum")
plot_RLum(merged)