A line graph is designed to plot serial numeric data (high or low dimensional); that is, a numeric variable that has been measured in a series of conditions for each subject (for example, several timepoints). For more information on serial data, see Serial Numeric Data.
In a line graph, the various conditions are plotted along the x-axis, at scale (unless you check the Plot evenly spaced option) when the conditions are associated with a numeric value. For example, time series data will be plotted on scale with time.
For categorical conditions, data points are evenly spaced along the x-axis.
The measurement of interest can be plotted for one or several groups (for example, treatment groups) of the defined subsets.
Each group will be plotted as a distinct line on the graph, unless you select Plot individuals as the graph type. In that case, each individual is plotted as a distinct line, using different colors for each group.
To begin the analysis, see Running the Analyses, then perform the following steps.
To perform a line graph analysis:
Click the Advanced Workflow tab, then open the Analysis menu.
Select Line Graph.
The Variable Selection section appears.
Drag and drop several nodes of serial data into the Time/Measurement Concepts selection box. To define the groups, drag and drop nodes into the Group Concepts selection box.
If no group concept is defined, the defined subsets are used as one group.
The order of the data points along the x-axis is controlled by the value defining each condition, even with the Plot evenly spaced option selected; for example, in chronological order for time series.
If you included high dimensional data in either concept box, click the High Dimensional Data button for that box.
The Compare Subsets-Pathway Selection dialog box appears.
Specify the platform and other filters for the analysis.
For information, see High Dimensional Data.
Click Apply Selections.
Optionally, select one or both of the following:
In Graph Type, select the type of line graph you want to display.
Your analysis appears below: