wheat

This example dataset is a set of APSIM simulations of
wheat grain N (grams per squared meter), which presents both high
accuracy and high precision. The experimental trials come from 11
site-years in 4 countries (Australia, Ethiopia, New Zealand, and
Turkey).
These data correspond to the latest, up-to-date, documentation and
validation of version number 2020.03.27.4956. Data available at:
tools:::Rd_expr_doi("10.7910/DVN/EJS4M0").
Further details can be found at the official APSIM Next Generation
website:
<a href="https://APSIMnextgeneration.netlify.app/modeldocumentation/">https://APSIMnextgeneration.netlify.app/modeldocumentation/</a>

datasets

A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many more. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.

Adrian A. Correndo

metrica

Prediction Performance Metrics

Luiz H. Moro Rosso

Rai Schwalbert

Carlos Hernandez

Leonardo M. Bastos

Luciana Nieto

Dean Holzworth

Ignacio A. Ciampitti

wheat function

This data frame has 137 rows and the following 2 columns:<dl>
<dt>pred</dt>
<dd>predicted values</dd><dt>obs</dt>
<dd>observed values</dd>
</dl>

Format

This example dataset is a set of APSIM simulations of
wheat grain N (grams per squared meter), which presents both high
accuracy and high precision. The experimental trials come from 11
site-years in 4 countries (Australia, Ethiopia, New Zealand, and
Turkey).
These data correspond to the latest, up-to-date, documentation and
validation of version number 2020.03.27.4956. Data available at:
tools:::Rd_expr_doi("10.7910/DVN/EJS4M0").
Further details can be found at the official APSIM Next Generation
website:
<a href='https://APSIMnextgeneration.netlify.app/modeldocumentation/'>https://APSIMnextgeneration.netlify.app/modeldocumentation/</a>

Wheat grain nitrogen — wheat

This data frame has 137 rows and the following 2 columns:<dl>
<dt>pred</dt>
<dd>predicted values</dd>

<dt>obs</dt>
<dd>observed values</dd>


</dl>

wheat: Wheat grain nitrogen

Description

Usage

Arguments

Format