One-way ANOVA test
Description
This module performs One-way analysis of variance (abbreviated ANOVA) test on the intensities
of aligned features and calculates the corresponding p-values.
The ANOVA technique is used to compare mean intensities of two or more groups of raw data files.
The groups of raw data files are specified by a user. Then ANOVA tests the null hypothesis that
the intensities of aligned features have the same mean values in all groups. The ANOVA produces
an F-statistic and the corresponding p-value. If p-value is close to zero (typically less than
0.05), then the intensities of aligned features are significantly different in two or more
groups.
Example
-
Set a group parameter for each raw data file. Choose menu "Project -> Set sample
parameters". In the window Setup project parameters and values, click button
"Add new parameter". In the window Define new project parameter, give a name to
the parameter and add its values. Finally, in the window Setup project parameters
and values, assign a value to each raw data file.
-
Perform One-way ANOVA test. In the right pane of the main window, select an aligned
peak list and choose menu "Peak list methods -> Data analysis -> One-way ANOVA test."
In the field Sample parameter, select the name of the parameter that you specified
in the previous step, and click button OK.
-
Export results. In the right pane of the main window, select an aligned peak list
and choose menu "Peak list methods -> Export/Import -> Export to CSV file." In the
parameters window, check the option "Export quantitation results and other information."
The exported CSV file will contain column ANOVA_P_VALUE with the p-values
produced by the one-way ANOVA test.