assess | R Documentation |
Calculate all assessments from the 'catalogue'.
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". |
assess()
assess
Dataframe of assessments
## Not run:
assessments <- assess(hera::demo_data)
selected_assessments <- assess(hera::demo_data, c("RICT", "DARLEQ3"))
## End(Not run)
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