Common Parameters for VOX Analysis Functions

A collection of common parameters used throughout the VOX Analysis package, specifically designed to facilitate analysis and visualization of language development through verbal operant assessment.

Arguments

id

The namespace `id`, used to uniquely identify Shiny modules and UI components within the VOX Analysis package.

df_input_response

A `data.frame` containing referent names and their associated responses, typically recorded by the listener. For example data, run `data("df_input_response_example")` or `data("df_input_response_previous_example")`.

df_summarized_response

A `data.frame` summarizing each verbal operant (Conversing, Labeling, Echoing, Requesting) for a given evaluation date. This summary provides a condensed view of responses and can be produced using the `util_summarize_response` function.

df_input_response_previous

A `data.frame` similar to `df_summarized_response` but represents past evaluations uploaded by the end user to distinguish prior assessments from current ones.

df_input_speaker_info

A `data.frame` containing general information about a speaker (the subject of the VOX Analysis), as provided by the user. For an example, run `data("df_input_speaker_info")`.

date_primary

A single date `vector` specifying the primary evaluation date. This parameter is essential when multiple evaluation dates are available, as it determines which date will be prioritized for calculations or highlights within the function.

ind_doc_version

Logical (`TRUE` or `FALSE`): Indicates whether a plot needs to be optimized for inclusion in a Word document. If `TRUE`, font sizes and other aesthetics will be adjusted to enhance Word document readability.

ind_add_new_data

Logical (`TRUE` or `FALSE`): Indicates whether the user intends to manually enter new data. Setting this to `TRUE` triggers the inclusion of the `mod_speaker_data_entry` module, enabling manual data entry by the user.