eval_GOF_yearly_SS_P: Returns a goodness of fit statistics for WY Sediment,...
In devalc/WEPPRecipes: Post-processing WEPP simulations
Description
Usage
Arguments
Details
Value
View source: R/eval_GOF_yearly_SS_P.R
Description
Takes in a dataframe containing both observed and simulated variables
(of identical length) and returns NSE, DV, KGE, MAE, RMSE, R2 and R2adj
for each variable namely.
Usage
1
Arguments
df
dataframe containing observed and sumulated data for Phosphorus and sediment.
Details
Example variable nomenclature: Observed X –> X_Load_tonnes (i.e. for total phosphorus —> TP_Load_tonnes)
Simulated X –> SimX_tonnes (i.e. for total phosphorus —> SimTP_tonnes)
Value
Goodness of Fit between observed and simulated data
devalc/WEPPRecipes documentation built on Jan. 3, 2022, 2:24 a.m.
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Description Usage Arguments Details Value
View source: R/eval_GOF_yearly_SS_P.R
Description
Takes in a dataframe containing both observed and simulated variables (of identical length) and returns NSE, DV, KGE, MAE, RMSE, R2 and R2adj for each variable namely.
Usage
1 |
Arguments
df |
dataframe containing observed and sumulated data for Phosphorus and sediment. |
Details
Example variable nomenclature: Observed X –> X_Load_tonnes (i.e. for total phosphorus —> TP_Load_tonnes) Simulated X –> SimX_tonnes (i.e. for total phosphorus —> SimTP_tonnes)
Value
Goodness of Fit between observed and simulated data
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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