FitDynamicGrowth | R Documentation |
The class FitDynamicGrowth has been superseded by the top-level class GrowthFit, which provides a unified approach for growth modelling.
Still, it is still returned if the superseded fit_dynamic_growth()
is called.
It is a subclass of list with the items:
fit_results: the object returned by modFit
.
best_prediction: the model prediction for the fitted parameters.
env_conditions: environmental conditions for the fit.
data: data used for the fit.
starting: starting values for model fitting
known: parameter values set as known.
sec_models: a named vector with the secondary model for each environmental factor
## S3 method for class 'FitDynamicGrowth' print(x, ...) ## S3 method for class 'FitDynamicGrowth' plot( x, y = NULL, ..., add_factor = NULL, ylims = NULL, label_y1 = "logN", label_y2 = add_factor, line_col = "black", line_size = 1, line_type = 1, point_col = "black", point_size = 3, point_shape = 16, line_col2 = "black", line_size2 = 1, line_type2 = "dashed" ) ## S3 method for class 'FitDynamicGrowth' summary(object, ...) ## S3 method for class 'FitDynamicGrowth' residuals(object, ...) ## S3 method for class 'FitDynamicGrowth' coef(object, ...) ## S3 method for class 'FitDynamicGrowth' vcov(object, ...) ## S3 method for class 'FitDynamicGrowth' deviance(object, ...) ## S3 method for class 'FitDynamicGrowth' fitted(object, ...) ## S3 method for class 'FitDynamicGrowth' predict(object, times = NULL, newdata = NULL, ...) ## S3 method for class 'FitDynamicGrowth' logLik(object, ...) ## S3 method for class 'FitDynamicGrowth' AIC(object, ..., k = 2)
x |
The object of class |
... |
ignored |
y |
ignored |
add_factor |
whether to plot also one environmental factor.
If |
ylims |
A two dimensional vector with the limits of the primary y-axis. |
label_y1 |
Label of the primary y-axis. |
label_y2 |
Label of the secondary y-axis. |
line_col |
Aesthetic parameter to change the colour of the line geom in the plot, see: |
line_size |
Aesthetic parameter to change the thickness of the line geom in the plot, see: |
line_type |
Aesthetic parameter to change the type of the line geom in the plot, takes numbers (1-6) or strings ("solid") see: |
point_col |
Aesthetic parameter to change the colour of the point geom, see: |
point_size |
Aesthetic parameter to change the size of the point geom, see: |
point_shape |
Aesthetic parameter to change the shape of the point geom, see: |
line_col2 |
Same as lin_col, but for the environmental factor. |
line_size2 |
Same as line_size, but for the environmental factor. |
line_type2 |
Same as lin_type, but for the environmental factor. |
object |
an instance of FitDynamicGrowth |
times |
A numeric vector with the time points for the simulations. |
newdata |
a tibble describing the environmental conditions (as |
k |
penalty for the parameters (k=2 by default) |
print.FitDynamicGrowth
: comparison between the fitted model and the data.
plot.FitDynamicGrowth
: comparison between the fitted model and the data.
summary.FitDynamicGrowth
: statistical summary of the fit.
residuals.FitDynamicGrowth
: residuals of the model.
coef.FitDynamicGrowth
: vector of fitted parameters.
vcov.FitDynamicGrowth
: (unscaled) variance-covariance matrix of the model,
calculated as 1/(0.5*Hessian)
deviance.FitDynamicGrowth
: deviance of the model.
fitted.FitDynamicGrowth
: fitted values.
predict.FitDynamicGrowth
: model predictions.
logLik.FitDynamicGrowth
: loglikelihood of the model
AIC.FitDynamicGrowth
: Akaike Information Criterion
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.