flux_quality_lm 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_lm(
  slopes_df,
  conc_col,
  f_fluxid,
  f_slope,
  f_cut,
  f_pvalue,
  f_rsquared,
  force_discard,
  force_ok,
  pvalue_threshold,
  rsquared_threshold,
  name_df
)

Arguments

• slopes_df: dataset containing slopes, fluxID, p.value and r.squared
• 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_cut: column containing the cutting information
• f_pvalue: column containing the p-value of each flux
• f_rsquared: column containing the r squared to be used for the quality assessment
• 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
• pvalue_threshold: threshold of p-value below which the change of gas concentration over time is considered not significant (user decided)
• rsquared_threshold: threshold of r squared value below which the linear model is considered an unsatisfactory fit
• name_df: name of slopes_df (used for error message)

Returns

same dataframe with added flag and corrected slopes columns