flux_quality_qua: quality assessment for the slopes estimated by flux_fitting

Description

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.

Usage

flux_quality_qua(
  slopes_df,
  f_fluxid,
  f_slope,
  f_pvalue,
  f_rsquared,
  f_slope_lm,
  force_discard,
  force_ok,
  force_zero,
  force_lm,
  gfactor_threshold,
  pvalue_threshold,
  rsquared_threshold,
  name_df
)

Value

same dataframe with added flag and corrected slopes columns

Arguments

slopes_df: dataset containing slopes, fluxID, p.value and r.squared
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_pvalue: column containing the p-value of each flux
f_rsquared: column containing the r squared to be used for the quality assessment
f_slope_lm: column containing the linear slope of each flux (as calculated by the flux_fitting function)
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
force_zero: vector of fluxIDs that should be replaced by zero by the user's decision
force_lm: vector of fluxIDs for which the linear slope should be used by the user's decision
gfactor_threshold: threshold for the g-factor. Defines a window with its opposite outside which the flux will be flagged discard.
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)