How to use statistical calculation for two groups and two condition?

I want to apply statistical test between the two groups and two condition. I calculated the statistical values within subject by this method (differences between conditions within group).

[stat] = ft_timelockstatistics(cfg, condition1, condition2);

Kindly guide me how can I calcualte the statistical parameters between the two groups and two conditions. Many thanks in advance.

Answer 1

[Anshuman]

Hi Muhammad,

To calculate statistical parameters between two groups and two conditions using the FieldTrip toolbox in MATLAB, you can follow these steps:

• Ensure that you have the data for both groups and conditions appropriately organized. In FieldTrip, data is typically represented as a FieldTrip structure, which contains the necessary information about the data, such as the time points, channels, and conditions.
• Create a configuration structure ('cfg') to specify the parameters for the statistical analysis. The configuration will include details such as the statistical test to be performed, the design matrix, and any additional options specific to your analysis.
• The design matrix should reflect the grouping and conditions in your data. This matrix defines the groups and conditions for each subject or observation. For example, if you have two groups (Group A and Group B) and two conditions (Condition 1 and Condition 2), the design matrix could be a matrix with two columns, where each row represents a subject or observation and the values indicate the group and condition.
• Use the 'ft_timelockstatistics' function to perform the statistical analysis. Pass in the configuration structure ('cfg'), the data for both groups and conditions, and the design matrix.

[stat] = ft_timelockstatistics(cfg, data_groupA_condition1, data_groupA_condition2, data_groupB_condition1, data_groupB_condition2);

The 'stat' output will contain the statistical results, including p-values, t-values, and other relevant information.

• Analyze the output from the statistical analysis to interpret the results. You can access the statistical parameters, such as p-values and t-values, from the 'stat' structure to assess the significance of the differences between groups and conditions.

Hope it helps!