PlotMilkLoss

Plot the actual daily milk daily production and the predicted values highlighting the detected milk loss events

Lactation curves describe temporal changes in milk yield and are key to breeding and managing dairy animals more efficiently. The use of ensemble modeling, which consists of combining predictions from multiple models, has the potential to yields more accurate and robust estimates of lactation patterns than relying solely on single model estimates. The package EMOTIONS fits 47 models for lactation curves and creates ensemble models using model averaging based on Akaike information criterion (AIC), Bayesian information criterion (BIC), root mean square percentage error (RMSPE) and mean squared error (MAE), variance of the predictions, cosine similarity for each model's predictions, and Bayesian Model Average (BMA). The daily production values predicted through the ensemble models can be used to estimate resilience indicators in the package. The package allows the graphical visualization of the model ranks and the predicted lactation curves. Additionally, the packages allows the user to detect milk loss events and estimate residual-based resilience indicators.

Pablo Fonseca

EMOTIONS

Ensemble Models for Lactation Curves

PlotMilkLoss function

<dl><dt>data</dt>
<dd>A data frame containing the observed and predicted daily milking records</dd>
<dt>ID</dt>
<dd>The ID of the individual that will have the daily milking records plotted</dd>
<dt>res.milkloss</dt>
<dd>The object with the output of milkloss_detect function</dd>
<dt>MY_col</dt>
<dd>The name of the column containing the observed milk yield</dd>
<dt>MY_pred</dt>
<dd>The name of the column containing the predicted milk yield</dd>
<dt>col</dt>
<dd>The colors of the actual, predicted values, and milk loss events. In this order</dd>
<dt>id_col</dt>
<dd>The name of the column containing the individual IDs</dd></dl>

Arguments

Plot the actual daily milk daily production and the predicted values highlighting the detected milk loss events — PlotMilkLoss

<dl>

<dt>data</dt>
<dd>A data frame containing the observed and predicted daily milking records</dd>


<dt>ID</dt>
<dd>The ID of the individual that will have the daily milking records plotted</dd>


<dt>res.milkloss</dt>
<dd>The object with the output of milkloss_detect function</dd>


<dt>MY_col</dt>
<dd>The name of the column containing the observed milk yield</dd>


<dt>MY_pred</dt>
<dd>The name of the column containing the predicted milk yield</dd>


<dt>col</dt>
<dd>The colors of the actual, predicted values, and milk loss events. In this order</dd>


<dt>id_col</dt>
<dd>The name of the column containing the individual IDs</dd>

</dl>

PlotMilkLoss: Plot the actual daily milk daily production and the predicted values highlighting the detected milk loss events

Description

Usage

Value

Arguments