is_core_parameter_x_condition {ggdmcModel} | R Documentation |
Parameter Mapping and Condition Processing Utilities
Description
A set of helper functions for processing parameter mappings across experimental conditions. These functions are used internally for building the model Boolean array.
Usage
is_core_parameter_x_condition(parameter_map_r, factors_r)
is_parameter_x_condition(parameter_map_r, factors_r)
get_stimulus_level_r(parameter_map_r, factors_r, accumulators_r)
get_factor_cells_r(parameter_map_r, factors_r, accumulators_r)
Arguments
parameter_map_r |
A named list mapping parameters to conditions and factors.
Example structure:
|
factors_r |
A named list of experimental factors and their levels.
Example: |
accumulators_r |
A character vector of accumulator names.
Example: |
Details
These functions work together to:
Analyse parameter mappings across experimental conditions
Identify which parameters vary by conditions
Generate appropriate stimulus levels and factor combinations
Value
- is_core_parameter_x_condition
Logical vector indicating whether core parameters (before associating with any conditions) are factor-dependent
- is_parameter_x_condition
Logical vector indicating whether parameters are factor-dependent
- get_stimulus_level_r
Character vector of stimulus levels for each accumulator
- get_factor_cells_r
List of factor combinations for each accumulator
Examples
p_map <- list(A = "1", B = "1", t0 = "1", mean_v = "M", sd_v = "1", st0 = "1")
factors <- list(S = c("red", "blue"))
accumulators <- c("r1", "r2")
# Check which parameters are core (not condition-dependent)
is_core_parameter_x_condition(p_map, factors)
# Get stimulus levels for each accumulator
get_stimulus_level_r(p_map, factors, accumulators)