Function allows merging of RLum.Data.Curve objects in different ways

`merge_RLum.Data.Curve(object, merge.method = "mean", method.info)`

object

list of '>RLum.Data.Curve (**required**):
list of S4 objects of class `RLum.Curve`

.

merge.method

character (**required**):
method for combining of the objects, e.g. `'mean'`

, `'sum'`

, see details for
further information and allowed methods. Note: Elements in slot info will
be taken from the first curve 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 nothing is provided all elements are combined.

This function is fully operational via S3-generics:
`+`

, `-`

, `/`

, `*`

, `merge`

0.2.0 (2018-02-08 18:09:55)

Kreutzer, S. (2018). merge_RLum.Data.Curve(): Merge function for RLum.Data.Curve S4 class objects. Function version 0.2.0. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J. (2018). Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.8.6. https://CRAN.R-project.org/package=Luminescence

This function simply allowing to merge '>RLum.Data.Curve objects without touching the objects itself. Merging is always applied on the 2nd colum of the data matrix of the object.

**Supported merge operations are '>RLum.Data.Curve**

`"sum"`

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

`"mean"`

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

`"median"`

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

`"sd"`

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

`"var"`

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

`"min"`

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

`"max"`

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

`"append"`

Appends count 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 row sums of the last objects are subtracted from the first object.

`"*"`

The row sums of the last objects are mutliplied with the first object.

`"/"`

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

merge_RLum, '>RLum.Data.Curve

# NOT RUN { ##load example data data(ExampleData.XSYG, envir = environment()) ##grep first and 3d TL curves TL.curves <- get_RLum(OSL.SARMeasurement$Sequence.Object, recordType = "TL (UVVIS)") TL.curve.1 <- TL.curves[[1]] TL.curve.3 <- TL.curves[[3]] ##plot single curves plot_RLum(TL.curve.1) plot_RLum(TL.curve.3) ##subtract the 1st curve from the 2nd and plot TL.curve.merged <- merge_RLum.Data.Curve(list(TL.curve.3, TL.curve.1), merge.method = "/") plot_RLum(TL.curve.merged) # }