Data manipulation

Purpose

There are various ways to visualize data. The data can be filtered, split or displayed by individual.

Individual

First, the data can be seen altogether or just based on an ID.

  • All: When this feature is chosen, all individuals are displayed.
  • Selection: By enabling this feature, Datxplore displays data only by individuals.

Filter

This feature is used to select only a part of one or several covariates (discrete or continuous). Each group of continuous covariate or each modality of discrete covariate can be chosen to be used or not in graphics.
In the warfarin example, the user can filter on the gender looking only at the male (gender equals 1) and filter the age under 32 as follows. The filter is done as follows in the left frame

datxplore_FilterGenderAgeChoice

and the following graphic comes

datxplore_FilterGenderAge

Split

It is also possible to split a graphic according to one or several covariates. The picture below is the result of a split on gender.

datxplore_SplitGender

It is also possible split over several covariates and also to combine filter and split.

Covariates transformation

If the groups of covariates used in filter and split are not adequate for the study, they can be modified by clicking on the menu bar Tools->Covariate transformation.
For continuous covariates, groups can be added or removed by clicking on the Add button. Then, values of bounds can be set as on the proposed example.

contCovTrans

For discrete covariates, modalities can be formed into different groups which behave themselves as modalities as follows

discreteCovTrans