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Complementary performance indicators

complementary-performance-indicators.Rd

These functions complement the MQI/MQO procedure outlined using vec_mqi(), and are used in internally by plot_mqi_scatter().

Usage

vec_pi_bias(obs, mod, term, params, na.rm = FALSE)

vec_pi_cor(obs, mod, term, params, na.rm = FALSE)

vec_pi_sd(obs, mod, term, params, na.rm = FALSE)

vec_ti_crmse(obs, mod, term, params, na.rm = FALSE)

vec_si_rmse(obs, mod, term, params, na.rm = FALSE)

Arguments

obs, mod

A numeric vector of observed (measured) concentrations (obs) or modelled concentrations (mod).

term

Either "short" or "long", identifying whether data represents Short- or Long-term data.

params

A set of mqor parameters, most simply constructed using mqo_params(). See mqo_params() for more information about how parameter sets can be constructed.

na.rm

a logical evaluating to TRUE or FALSE indicating whether NA values should be stripped before the computation proceeds.

Details

The following indicators are available for both long-term and short-term data:

  • Bias performance indicator (vec_pi_bias())

  • Correlation performance indicator (vec_pi_cor())

  • Standard deviation performance indicator (vec_pi_sd())

The following 'temporal' (short-term) indicators are available:

  • Centred Root Mean Square Error temporal indicator (vec_ti_crmse())

The following 'spatial' (long-term) indicators are available:

  • Root Mean Square Error spatial indicator (vec_si_rmse())

See also

Other model performance indicators: summarise_mqo_stats(), vec_bias()