summary.flex_prms: Summarizing Flex Parameters

In dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

Summarizing Flex Parameters

Description

summary method for class "flex_prms".

Usage

## S3 method for class 'flex_prms'
summary(object, ...)

## S3 method for class 'summary.flex_prms'
print(
  x,
  ...,
  round_digits = drift_dm_default_rounding(),
  dependencies = TRUE,
  cust_parameters = TRUE
)

Arguments

object	an object of class flex_prms, resulting from a call to flex_prms.
...	additional arguments passed forward to the respective method
x	an object of class summary.flex_prms; a result of a call to summary.flex_prms().
round_digits	integer, indicating the number of decimal places (round) to be used (default is 3).
dependencies	logical, controlling if a summary of the special dependencies shall be printed (see the "special dependency instruction" in the details of flex_prms)
cust_parameters	logical, controlling if a summary of the custom parameters shall be printed (see the "additional/custom parameter instruction" in the details of flex_prms)

Details

The summary.flex_prms() function creates a summary object containing:

• prms_matrix: All parameter values across all conditions.

• unique_matrix: A character matrix, showing how parameters relate across conditions.

• depend_strings: Special Dependencies, formatted as a string.

• cust_prms_matrix: (if they exist), a matrix containing all custom parameters.

The print.summary.flex_prms() function displays the summary object in a formatted manner.

Value

summary.flex_prms() returns a list of class summary.flex_prms (see the Details section summarizing each entry of this list).

print.summary.flex_prms() returns invisibly the summary.flex_prms object.

Examples

# create a flex_prms object
flex_obj <- flex_prms(c(a = 1, b = 2), conds = c("foo", "bar"))

sum_obj <- summary(flex_obj)
print(sum_obj)

# the print function for the summary object is identical to the print
# function of the flex_prms object
print(flex_obj)

dRiftDM documentation built on April 3, 2025, 7:48 p.m.