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| 1 | +# eprscope 0.1.15 |
| 2 | + |
| 3 | +## 2025-08-11 |
| 4 | + |
| 5 | +### Bug Fixes/Critical Updates |
| 6 | + |
| 7 | +* reading of spectrometer binary files (`.DTA` and `.spc`) is currently |
| 8 | + under development (follow the commits at |
| 9 | + [feat/read_binar_spectrs](https://github.com/jatanRT/eprscope/tree/feat/read_binar_spectrs)) |
| 10 | + |
| 11 | +* functions to read instrumental spectrometer parameters: |
| 12 | + `readEPR_params_slct_...`, `readEPR_param_slct` and `readEPR_params_tabs` |
| 13 | + were completely updated in order to be ready for reading of binary |
| 14 | + spectrometer files |
| 15 | + |
| 16 | +* several fixes and/or updates in documentation (functions, including |
| 17 | + `Examples` + vignettes) |
| 18 | + |
| 19 | +* magnetic flux density *B*-unit conversion (G ↔ mT) + *B*-range |
| 20 | + of the interactive/exported data frame of simulated and experimental |
| 21 | + EPR spectrum in the `shinyApp01`/`plot_eval_ExpSim_app` are working |
| 22 | + properly right now |
| 23 | + |
| 24 | +* fixed bug in simultaneous reading of multiple files |
| 25 | + (see the `readEPR_Exp_Specs_multif`) where due to missing *Q* values |
| 26 | + (sensitivity factors) the EPR intensity was not correctly normalized |
| 27 | + and therefore `NA` values appeared |
| 28 | + |
| 29 | +* if user wants to fix the value of a simulation parameter |
| 30 | + (see the `optim.params.init` argument), during the optimization/fitting |
| 31 | + procedure by the `eval_sim_EPR_isoFit` function (i.e. the value will |
| 32 | + be not optimized by the least-squares method), one can easily point |
| 33 | + to index of the `optim.params.init` vector by the `optim.params.fix.id` |
| 34 | + argument to keep the corresponding simulation parameter constant during |
| 35 | + the fitting/optimization + this was additionally implemented |
| 36 | + in the `eval_sim_EPR_isoFit_space` function (please, refer |
| 37 | + to the function documentation) |
| 38 | + |
| 39 | +### Updates |
| 40 | + |
| 41 | +* an option to export parameters of the interactively simulated |
| 42 | + EPR spectrum as an initial `.R` script/code snippet was added |
| 43 | + to `shinyApp01`/`plot_eval_ExpSim_app` in order to be ready |
| 44 | + for the `eval_sim_EPR_isoFit` function, therefore user does not |
| 45 | + have to write the code → this may speed up the analysis |
| 46 | + of the EPR spectrum |
| 47 | + |
| 48 | +* right now the covariance/correlation matrices can be returned as list |
| 49 | + components/values by several fitting/optimization functions |
| 50 | + like `eval_sim_EPR_isoFit`, `eval_kinR_EPR_modelFit` |
| 51 | + and `eval_kinR_Eyring_GHS` + these matrices can be very nicely |
| 52 | + visualized by |
| 53 | + the [corrplot](https://cran.r-project.org/web/packages/corrplot/vignettes/corrplot-intro.html) |
| 54 | + package and the corresponding `corrplot` function (see examples |
| 55 | + in documentation of the above-mentioned functions) |
| 56 | + |
| 57 | +* `eval_integ_EPR_Spec` and `quantify_EPR_Sim_series` code cleaning → |
| 58 | + simplified EPR spectrum integration code based on *B*-unit |
| 59 | + |
1 | 60 | # eprscope 0.1.14 |
2 | 61 |
|
3 | 62 | ## 2025-05-11 |
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