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Changes in version 0.9.24 (2024-06-07)

This package version requires R >= 4.3

New functions

• trim_RLum.Data(): This new function enables trimming off the number of channels of all supported RLum.Data-class on the time domain. For instance, an OSL curve (RLum.Data.Curve-class) has 1000 channels; one may want to extract only channels 10 to 100. Moreover, sometimes, RLum.Data-class objects have a different number of channels but are otherwise measured with the exact time resolution. Until now, it was possible to merge those curves, but the subsequent analysis usually failed because most of the analysis functions check whether the number of channels matches.

• import_Data(): A convenience wrapper around all functions commencing with read_. The functions steps through all functions and the one that can import a file is chosen. This function simplifies writing of scripts for different data formats.

The Thermochronometry functions (internal)

• Add internal function to import thermochronometry XLSX sheets into R; an R implementation of STAGE1, ExcelToStructure; the function has no user visible use for the moment.

Bugfixes and changes

analyse_IRSARRF()

• The function crashed for RF_nat.lim settings with two parameters; fixed (thanks to Mariana Sontag-Gonzalez for reporting)
• The function gained a new argument option for method: "VSLIDE". If set, the vertical sliding with the range set to "auto" is used for the estimation of the equivalent dose.

analyse_SAR.CWOSL()

• The function gained a new argument trim_channels. The default is FALSE to do not break existing code. If TRUE OSL and IRSL are curves are checked for the lowest number of channels on the curves and then all curves are trimmed accordingly using trim_RLum.Data(). This should fix an issue where data could not be analysed due to different channel numbers erroneously produced by the luminescence readers.
• The dose points names are returned as factors (which they are) instead of characters, with their class in the correct order. If you expect character values this may break existing code.
• The $data element gained two new columns ALQ and POS where the functions tries to store data about the running aliquot number and the position of the aliquot in the reader. The latter can only be accessed if this information was provided in measurement data (e.g., XSYG or BIN/BINX)
• The argument rejection.criteria gained a new option recuperation_reference preset to "Natural" to specify the regeneration reference dose point taken into account for calculating the recuperation rate (suggested by Anna-Maartje Boer and Jakob Wallinga)

calc_Huntely2006()

• If the age is NA due to Ln/Tn values lower than the smallest simulated Lx/Tx value, a warning with an explanation is returned. Thanks to Christina Neudorf for providing the test dataset.
• Better catch a few uncontrolled errors and improve the success of the fitting (thanks to Salome Oehler for providing scripts and datasets)
• Regression: The changes in the last version led to unexpected function behaviour in cases where users tried the fading correction with only a few dose points in the lower part of the dose-response curve because the fits were no longer forced through the origin. This issue is now corrected, and the user can use the argument fit.force_through_origin (which is passed down to plot_GrowthCurve()) to force the fit again through the origin (thanks to Junjie Zhang for reporting the issue).

convert_Activity2Concentration()

• The function did not work as expected if input was provided as abundance and the output data frame was missing values; fixed.
• The parameter input_unit now expects either "activity" (the default) or "abundance" instead of "Bq/kg" or "ppm/%'. The old input parameters are still silently accepted.
• Potentially breaking change: The naming of the output data frame now reports SI unit conform values, i.e. we ppm is no longer acceptable because it might have different interpretations. To reflect this change, in the function title we replaced “concentration” with “abundance”.

read_BIN2R()

• Argument n.records can now be provided as a vector to specifically select records for the import. All other records are skipped and not imported. This can be useful in particular for very large BIN/BINX-files because allows importing single records very quickly without parsing the entire file
• The function is now less talkative for zero byte records and stopped spamming the console.
• The function learned about RECTYPE 128 records and can now import them (before those records were skipped). As it is in the original format, these information are only appended to the BIN/BINX file, means they do not really represent measurement data. Please note that this support is highly experimental!
  
• The download of files now uses the new internal function .download_file()

read_Daybreak2R()

• The function gained the ... argument for compatibility reasons

read_RF2R()

• The function gained the ... argument for compatibility reasons

read_SPE2R()

• The function gained the ... argument for compatibility reasons
• The argument verbose was not fully respected; fixed

read_TIFF2R()

• The function gained the ... argument for compatibility reasons

read_XSYG2R()

• Tries a little bit harder to determine the correct file path.
• Returns the file path as @info object in the RLum.Analysis-class output.
• If the file is not readable it only shows the R error and not anymore the internal error.

plot_DetPlot()

• New argument plot: The function gained the new parameter plot to provide the possibility to disable the plot output for more complex operations
• Additional input: The function now understands lists of RLum.Analysis-class objects and iterates over those objects automatically.
• New argument multicore: As an addition to the list operation, the function can let it run in a multi core session
• The legend displayed the wrong labels for the equivalent dose and the Ln/Tn values; fixed.
• The legend is now disabled by default if no shine-down curve is shown; it can be activated again manually using legend.
• The par settings were not correctly reset; fixed.
• The function now supports the trim_channel argument from analyse_SAR.CWOSL()

plot_GrowthCurve()

• Edge case: If the Ln/Tn values was way below the fit and fit.method = EXP was chosen for the fitting, the function still returned a positive equivalent dose for mode = interpolation. Now the returned value is NA since no interpolation was possible.
• Minor graphical polish: the dashed lines are drawn to the end of the plot area.

plot_RLum()

• The function knows how to process results produces by analyse_SAR.CWOSL(), analyse_pIRIRSequence() and analyse_IRSARRF(); the functionality is very basic and for fast reporting situations only.

report_RLum()

• The file *.Rds file path download did not function anymore; fixed.
• The function threw an non-conclusive warning; fixed.

Risoe.BINfileData-class()

• The show method now knows about RECTYPE 128 and will account for it.

Risoe.BINFfileData2RLum.Analysis()

• The function learned about RECTYPE 128 records. Those records contain ROI data from camera measurements and are skipped for the moment because they do not really belong to measurement data. This may change future.

Internals

• Add internal download helper .download_file() for a more consistent approach to detect URL schemes and download files across the package
• Cover tricky edge case for the internal function .expand_parameters(). The function is used to recycle and expand function parameters if the input is a list object. It apparently showed odd behaviour if a function was used in a loop with objects of its own, e.g., f(x = i + 1), then the function would recycle i + 1 and then evaluate i + 1 in the function environment. Usually, this should throw an error, but in particular, i is an object name commonly used in loops, so the function went upwards in the environments until it found the first i. However, this is not the i inserted by the user. The result was that the loop did not seem to work for no apparent reason. Now, .expand_parameters() evaluates input in the parent environment before passing it down.

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They may not be fully stable and should be used with caution. We make no claims about them.