InVitro and InVivo mapping panels
Mappings panels identify how input variables are to be used. Map the data by dragging the dataset from the Data folder to the Setup tab or use the icon in the Setup tab.
Once a dataset is mapped, use the option buttons in the Mappings panels to assign the columns in the dataset to the appropriate context associations. Required context mappings are colored orange.
None: Columns mapped to this context are not included in any analysis or output.
Sort: Categorical variable(s) identifying individual data profiles.
Independent: Sampling time values.
Values: Concentration sampling values, one value per sampling time per profile (see note below). Values from both datasets must have the same units.
Formulation: Drug formulation identifiers. Blank/empty formulation cells are not supported.
The in vivo and in vitro datasets can contain the same or different sort variables. If sort variables with identical column names are in both datasets, then Phoenix includes only the sorting values that exist in both datasets. For non-matching sort variables, Phoenix uses the cross-product of the sort values to create the plots.
Note: If the datasets both have a column named “Formulation,” these two columns will be used, even if they are not mapped in the panels. The Levy Plot will fail if the values in the two columns do not match.
In cases where a profile has more than one value for a time point, use Descriptive Statistics on the source worksheets to average the values for each profile so that there is one value per time point. Then execute the Levy Plots object on the Descriptive Statistics output.
Legal Notice | Contact Certara
© Certara USA, Inc. All rights reserved.