sum_stat: Caclulate summary stats of mod v obs

In aemon-j/gotmtools: Tools to work with GOTM input data and also process the output data

Caclulate summary stats of mod v obs

Description

Calculate general summary statistics of modelled water temperature vs observed water temperature; Pearson's R, variance, covariance, bias, Nash-Sutcliffe Efficiency (NSE) and Root mean squared error (RMSE) and log-likelihood (lnlikelihood).

Usage

sum_stat(mod, obs, depth = FALSE, na.rm = TRUE, depth.range = NULL)

Arguments

mod	vector or dataframe; Vector if no depth values otherwise Modelled values in the long format; date, depth, values
obs	vector or dataframe; Vector if no depth values otherwise Observed values in the long format; date, depth, values
depth	logical; Depth values are included. Defaults to False
na.rm	logical; Remove NA'values
depth.range	vector; vector with a depth range to extract statistics at certain depths.

Value

data frame of summary statistics

aemon-j/gotmtools documentation built on April 12, 2024, 4:35 p.m.