flux_quality_lm: quality assessment for the slopes estimated by flux_fitting

In fluxible: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup

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_lm(
  slopes_df,
  f_fluxid,
  f_slope,
  f_pvalue,
  f_rsquared,
  force_discard,
  force_ok,
  force_zero,
  pvalue_threshold,
  rsquared_threshold,
  name_df
)

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
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
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)

Value

same dataframe with added flag and corrected slopes columns

fluxible documentation built on June 25, 2025, 1:08 a.m.