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Clustered multiple comparison graphs

Command:Graphs
Next selectClustered multiple comparison graphs

Description

Clustered multiple comparison graphs allow to visualize the influence of two categorical variables on another (continuous) variable.

The categorical variables may contain character or numeric codes. These codes are used to break-up the data into different subgroups.

The graph can be composed from different elements: Bars, Horizontal lines, Markers and or Connecting lines for mean or median, with choice of different error bars for mean (95% CI, 1 SEM, 1 SD, 2 SD, 3 SD, range) or median (95% CI, 25-75 percentiles, 10-90 percentiles, 5-95 percentiles, 2.5-97.5 percentiles, 1-99 percentiles, range), Box-and-whisker plot or Notched box-and-whisker plot, Violin plot, and/or Dot plot (display all data).

How to enter data

You need to enter data for one continuous variable (MEASUREMENT1 in the example) and 2 categorical variables (GENDER and TREATMENT in the example).

Clustered multiple comparison graphs

Required input

Clustered multiple comparison graphs

The following need to be entered in the dialog box:

Examples

Clustered multiple comparison graphs

This is an example of a graph with option "Dots" selected:

Clustered multiple comparison graphs

Literature

See also