Assess — assess • hera

Calculate all assessments from the `catalogue`.

Usage

assess(data = NULL, name = NULL, catalogue = NULL, ...)

data: Dataframe of variables in hera inter-change format by default including columns for sample_id, question, response, label and parameter. See `demo_data` for example. This is specific for each assessment is held in `catalogue` data frame 'data' column for requirements. For details of optional columns and requirements of specific assessment, see refer to the vignettes.
name: Limit the assessments calculated by name(s) see `catalogue` name column. By default all assessments are run and if relative input data, the function will return output. Where there is no relative data, no output will be returned.
catalogue: Dataframe of assessments by default the built-in `catalogue` is used. But if developing new assessments a custom assessment dataframe could be used.
...: Other arguments passed on to methods. This optional parameters is only for testing. The DARLEQ3 assessment uses an option `metric` argument by default this is ""TDI5LM".

Dataframe of assessments

assess() assess

if (FALSE) { # \dontrun{
assessments <- assess(hera::demo_data)
selected_assessments <- assess(hera::demo_data, c("RICT", "DARLEQ3"))
} # }