Create a count table for individual data
Content of the various columns:
+-------------------------+------------------------------------------------------------------------------------------------+
| Column | Description |
+=========================+================================================================================================+
| inf_selection | Number of subjects influential on model selection. |
| | :math:\mathrm{OFV}_{parent} - \mathrm{OFV} > 3.84 \veebar |
| | :math:\mathrm{OFV}_{parent} - \mathrm{iOFV}_{parent} - (\mathrm{OFV} - \mathrm{iOFV}) > 3.84 |
+-------------------------+------------------------------------------------------------------------------------------------+
| inf_params | Number of subjects influential on parameters. predicted_dofv > 3.84 |
+-------------------------+------------------------------------------------------------------------------------------------+
| out_obs | Number of subjects having at least one outlying observation (CWRES > 5) |
+-------------------------+------------------------------------------------------------------------------------------------+
| out_ind | Number of outlying subjects. predicted_residual > 3.0 |
+-------------------------+------------------------------------------------------------------------------------------------+
| inf_outlier | Number of subjects both influential by any criteria and outlier by any criteria |
+-------------------------+------------------------------------------------------------------------------------------------+
summarize_individuals_count_table(models = NULL, df = NULL)(data.frame) Table with one row per model.
(array(Model) (optional)) List of models to summarize.
(data.frame) Output from a previous call to summarize_individuals.
summarize_individuals : Get raw individual data