fluxible 1.3.3

• citation: paper published!

fluxible 1.3.2

• flux_plot: fixed a bug, which makes it now much faster

fluxible 1.3.1

• Vignettes and readme: reference and small fixes

fluxible 1.3.0

• flux_match: checks that the two inputs have different column names
• flux_plot: dots in legend and lines bigger
• flux_fitting: exp_zhao18 now default model
• various fixes and code improvements

fluxible 1.2.13

• flux_fitting: cut_direction allows to cut from both sides, or start, or end

fluxible 1.2.12

• flux_drygas: does the wet air correction
• flux_units: added mmol/mol as a possible concentration unit
• flux_diff: calculates the difference between fluxes (GPP, transpiration, etc)

fluxible 1.2.11

• flux_calc: fixed bug when atm_pressure is a variable

fluxible 1.2.10

• flux_lrc: output is now in long format (fluxes in same column, additional column indicating PAR correction), which makes it easier to handle with flux_gpp.

fluxible 1.2.9

• flux_plot: output = "longpdf" exports a single page pdf (default width 29.7 cm and as long as needed). This method is considerably faster than pdfpages, because it bypasses facet_wrap_paginate, but is a bit less aesthetic.

fluxible 1.2.8

• flux_plot: f_facetid argument allows to display more information in the facet IDs when plotting

fluxible 1.2.7

• flux_match: fixed_length is deprecated. flux_match will detect whether end_col or measurement_length are provided.

fluxible 1.2.6

• flux_calc: gas concentration unit can be ppm, ppb or ppt. The conversion coefficient is integrated in flux_units

fluxible 1.2.5

• flux_calc: atm_pressure is averaged like temp_air_col if it is a variable with more than one value per flux measurement

fluxible 1.2.4

• flux_units: new function returning a conversion factor to transform fluxes into the desired unit
• flux_calc: flux_unit argument now takes units in the form amount/surface/time

fluxible 1.2.3

• flux_lrc: new function to standardize CO2 fluxes with PAR values

fluxible 1.2.2

• flux_calc:
  • chamber_volume and tube_volume are deprecated, use setup_volume instead
  • cols_nest = "all" allows to nest all the columns, to keep raw data
• flux_match:
  • ratio_threshold is deprecated, use ratio_threshold in flux_quality() instead
  • f_conc is no longer needed, deprecated
• flux_quality: ratio_threshold default value is now 0.5, was 0 previously, which does not make sense

fluxible 1.2.1

• flux_quality: new no_slope quality flag for when the model could not be fitted to the data.
• flux_match: startcrop argument is deprecated as flux_fitting(start_cut) has a similar function.

fluxible 1.2.0

• flux_calc
  • variables in cols_ave, cols_med and and cols_cum gets suffix added so it is possible to provide a variable to several of those arguments.
  • cols_nest: new argument for variable to keep in a nested tibble after flux calculation.

fluxible 1.1.2

• flux_flag_count: does not need the cut argument anymore, so it can also be used after calculating fluxes to provide a table with the number of measurements for each quality flag.

fluxible 1.1.1

• flux_gep: deprecated, renamed into flux_gpp (does exactly the same).
• Fixed equations in documentation.

fluxible 1.1.0

fluxible 1.0.5

• flux_quality: fluxes with bad fit are now flagged as zero if their linear slope is below the minimal detectable slope (calculated as \(2 \times \text{instrument error} / \text{length of flux}\)) instead of discard.

fluxible 1.0.4

• flux_fitting:
  • exp_hm to use the HM model (Pedersen et al., 2010; Hutchinson and Mosier, 1981).
  • returns the linear slope besides the chosen method.
• flux_quality:
  • kappamax = TRUE to apply the kappamax method (Hüppi et al., 2018) on any of the exponential fits.
  • g-factor in the output shows the ratio of slope over the linear slope.
  • force_linear and force_exp to force the use of the linear or exponential slope (kappamax method).
• flux_match: option to feed a column with the end time instead of a fixed measurement length, in case fluxes do not all have the same length
• flux_calc:
  • cols_sum columns for which the values will be summed for each flux.
  • cols_med columns for which the median will be provided for each flux.

fluxible 1.0.3

• stupeflux: a wrap function to directly process raw gas concentration data into ecosystem gas fluxes.
• flux_fitting: if optim returns non-finite values, the slope is NA and the function does not crash anymore.
• flux_fitting: new model exp_tz. Same as exp_zhao18 except the user defines t_zero.

fluxible 1.0.2

• flux_gep: fluxes presents in the dataset that are neither NEE nor ER (soilR, LRC or other) are not lost anymore.

fluxible 1.0.1

• flux_quality: added force_zero argument to force a flux to be replaced by zero.

fluxible 0.1.3

• Error corrected in flux_gep: the columns in the cols_keep argument are filled for GEP flux with values from NEE flux, and NA if missing, but not values from ER fluxes.

fluxible 0.1.2

• flux_gep allows to keep all columns without naming them.
• Order of columns in the output of flux_match is more logical (f_start before f_end…).

fluxible 0.1.1

• Vignettes temporarily back in Rmd until quarto_render bug is fixed (https://github.com/r-lib/pkgdown/issues/2830)

fluxible 0.1.0

• Added a vignette describing how to prepare the data for fluxible.
• flux_plot now adds a vertical line showing where t_zero is.
• flux_plot: scale_x_datetime arguments are now past as a list.
• Functions now recycle users column names instead of renaming them. Columns created by fluxible functions have the suffixf_`.

fluxible 0.0.6

• Correction in flux_quality: zero and discard flags were inverted when using the linear fit.

fluxible 0.0.5

• flux_plot: fixed the blurriness of quality flags.

fluxible 0.0.4

• flux_gep function to calculate GEP.

fluxible 0.0.3

• All plots are colored the same (colors code for raw concentration data points and fit and slope in black).
• Legend for line types in plots.
• Plot subtitles indicating the fit type.

fluxible 0.0.2

• flux_calc allows to choose units.
• flux_calc allows plot area as a variable.
• flux_fitting with exponential model works when concentration data are missing in the middle of the measurement.