get_predicted_pam_values {CBASSED50} | R Documentation |
Get Predicted PAM Values
Description
This function takes a list of models and a temperature range, and generates predicted PAM (Pulse Amplitude Modulation) values based on the provided models and temperature range.
Usage
get_predicted_pam_values(models, temp_range)
Arguments
models |
A list of model objects representing PAM prediction models. |
temp_range |
A numeric vector containing a sequence of temperature values for which PAM predictions will be generated. |
Value
A data frame containing the predicted PAM values along with corresponding temperature values from the given temperature range.
See Also
predict_temperature_values
, transform_predictions_to_long_dataframe
, define_temperature_ranges
predict_temperature_values
transform_predictions_to_long_dataframe
define_temperature_ranges
Examples
# Load models and temperature range
# To load internal dataset that is provided with the R package
data("cbass_dataset")
cbass_dataset <- preprocess_dataset(cbass_dataset)
grouping_properties <- c("Site", "Condition", "Species", "Timepoint")
drm_formula <- "Pam_value ~ Temperature"
# Make list of model
models <- fit_drms(cbass_dataset, grouping_properties, drm_formula, is_curveid = FALSE)
temp_ranges <- define_temperature_ranges(cbass_dataset$Temperature, n = 100)
# Get predicted Pam_value values
predicted_pam <- get_predicted_pam_values(models, temp_ranges)
[Package CBASSED50 version 0.2.0 Index]