unpack_obj: Unpack/Destroy dRiftDM Objects

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

Unpack/Destroy dRiftDM Objects

Description

When calling simulate_traces(), calc_stats, or coef.fits_ids_dm the returned objects will be custom objects (e.g., subclasses of list or data.frame). The respective subclasses were created to provide convenient plotting and printing, but they don't really provide any additional functionality.

The goal of unpack_obj() is to provide a convenient way to strip away the attributes of the respective objects (revealing them as standard arrays, data.frames, or lists).

Usage

unpack_obj(object, ...)

## S3 method for class 'traces_dm'
unpack_obj(object, ..., unpack_elements = TRUE)

## S3 method for class 'traces_dm_list'
unpack_obj(object, ..., unpack_elements = TRUE, conds = NULL)

## S3 method for class 'stats_dm'
unpack_obj(object, ..., unpack_elements = TRUE)

## S3 method for class 'stats_dm_list'
unpack_obj(object, ..., unpack_elements = TRUE, type = NULL)

## S3 method for class 'coefs_dm'
unpack_obj(object, ..., unpack_elements = TRUE)

Arguments

object	an object of type stats_dm, stats_dm_list, traces_dm, traces_dm_list, or coefs_dm
...	further arguments passed on to the respective method.
unpack_elements	logical, indicating if the traces_dm, stats_dm, or coefs_dm objects shall be unpacked. Default is TRUE.
conds	optional character vector, indicating specific condition(s). The default NULL will lead to conds = conds(object). Thus, per default all conditions are addressed
type	optional character vector, indicating specific type(s) of statistics. The default NULL will access all types of statics.

Details

unpack_obj() is a generic function to strip away the custom information and class labels of stats_dm, stats_dm_list, traces_dm, traces_dm_list, and coefs_dm objects. These objects are created when calling simulate_traces(), calc_stats, or coef.fits_ids_dm.

For traces_dm_list, unpack_obj() returns the requested conditions (see the argument conds). The result contains objects of type traces_dm if unpack_elements = FALSE. For unpack_elements = TRUE, the result contains the plain arrays with the traces.

For stats_dm_list, unpack_obj() returns the requested statistics (see the argument type). The result contains objects of type stats_dm if unpack_elements = FALSE. For unpack_elements = TRUE, the result contains the plain data.frames with the statistics.

Value

For traces_dm_list, the returned value is a list, if conds specifies more than one condition. For example, if conds = c("foo", "bar"), then the returned value is a list with the two (named) entries "foo" and "bar". If the returned list would only have one entry (either because the traces_dm_list has only one condition, see conds, or because a user explicitly requested only one condition), then the underlying array or traces_dm object is returned directly.

For stats_dm_list, the returned value is a list, if type specifies more than one condition. If the returned list would only have one entry, then the underlying data.frame or stats_dm object is returned directly.

For traces_dm, unpack_obj() returns an array with the traces, if unpack=TRUE. If unpack=FALSE, the unmodified object is returned.

For stats_dm, unpack_obj() returns a data.frame with the respective statistic, if unpack=TRUE. If unpack=FALSE, the unmodified object is returned.

For coefs_dm, unpack_obj() returns a data.frame with the parameters, if unpack=TRUE. If unpack=FALSE, the unmodified object is returned.

Examples

# get a pre-built model to demonstrate the function
my_model <- dmc_dm()

# get some traces ...
some_traces <- simulate_traces(my_model, k = 2, seed = 1)
some_traces <- some_traces$comp
class(some_traces)
# ... unpack them to get the underlying arrays
class(unpack_obj(some_traces))

# get some statistics ...
some_stats <- calc_stats(my_model, type = "cafs")
class(some_stats)
class(unpack_obj(some_stats))

# get some parameters ...
some_coefs <- coef(get_example_fits_ids())
class(some_coefs)
class(unpack_obj(some_coefs))

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