plot_model_curve {CBASSED50} | R Documentation |
Plot the model curve with predicted PAM values and confidence intervals.
Description
Plot the model curve with predicted PAM values and confidence intervals.
Usage
plot_model_curve(
cbass_dataset,
grouping_properties = c("Site", "Condition", "Species", "Timepoint"),
drm_formula = "Pam_value ~ Temperature",
faceting_model = "Species ~ Site ~ Condition",
size_text = 12,
size_points = 2
)
Arguments
cbass_dataset |
A data frame containing the dataset to be processed. |
grouping_properties |
A character vector of column names to be used for grouping. Default: c("Site", "Condition", "Species", "Timepoint"). |
drm_formula |
A formula object specifying the dose-response model. Default: "Pam_value ~ Temperature". |
faceting_model |
A formula specifying the faceting of the plot. Default: "Species ~ Site ~ Condition". |
size_text |
Default: 12. A formula specifying the faceting of the plot. |
size_points |
Default: 2. A formula specifying the faceting of the plot. |
Value
A ggplot object representing the model curve with predicted PAM values.
Examples
data(cbass_dataset)
model_curve_plot <- plot_model_curve(cbass_dataset)
[Package CBASSED50 version 0.2.0 Index]