flux_quality_exp function

quality assessment for the slopes estimated by flux_fitting

indicates if fluxes should be discarded or replaced by 0 according to parameters set by user. flux_quality_lm is for the model of the lm family. flux_quality_exp is for the exponential model.

flux_quality_exp(
  slopes_df,
  conc_col,
  f_fluxid,
  f_slope,
  f_time,
  f_fit,
  f_cut,
  f_b,
  force_discard,
  force_ok,
  rmse_threshold,
  cor_threshold,
  b_threshold
)

Arguments

• slopes_df: dataset containing slopes, fluxID, and parameters of the exponential expression
• conc_col: column with gas concentration
• f_fluxid: column of ID for each measurement
• f_slope: column containing the slope of each flux (as calculated by the flux_fitting function)
• f_time: column containing the time of each measurement in seconds
• f_fit: column containing the modeled data
• f_cut: column containing the cutting information
• f_b: column containing the b parameter of the exponential expression
• force_discard: vector of fluxIDs that should be discarded by the user's decision
• force_ok: vector of fluxIDs for which the user wants to keep the calculated slope despite a bad quality flag
• rmse_threshold: threshold for the RMSE of each flux above which the fit is considered unsatisfactory
• cor_threshold: threshold for the correlation coefficient of gas concentration with time below which the correlation is considered non significant
• b_threshold: threshold for the b parameter. Defines a window with its opposite inside which the fit is considered good enough.

Returns

same dataframe with added flag and corrected slopes columns