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Two-way repeated measures ANOVA

Two-way repeated measures ANOVA, for designs with two within-subjects variables

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Last Week downloads: 0
Total downloads: 376
Matlab
  • Last Updated: Jun 28, 2010
  • License: BSD Free
  • OS: Windows /Linux/Mac OS/BSD/Solaris
  • Requirements: Matlab 6.5.1 (R13SP1)
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4 out of 5 based on 1 ratings for Two-way repeated measures ANOVA

For Two-way repeated measures ANOVA Publisher's description

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Two-way repeated measures ANOVA is a Scripts software developed by Aaron Schurger. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Two-way repeated measures ANOVA:

BSEditor: %
% function stats = rm_anova2(Y,S,F1,F2,FACTNAMES)
%
% Two-Factor, within-subject repeated measures ANOVA.
% For designs with two within-subject factors.
%
% Parameters:
% Y dependent variable (numeric) in a column vector
% S grouping variable for SUBJECT
% F1 grouping variable for factor #1
% F2 grouping variable for factor #2
% F1name name (character array) of factor #1
% F2name name (character array) of factor #2
%
% Y should be a 1-d column vector with all of your data (numeric).
% The grouping variables should also be 1-d numeric, each with same
% length as Y. Each entry in each of the grouping vectors indicates the
% level # (or subject #) of the corresponding entry in Y.
%
% Returns:
% stats is a cell array with the usual ANOVA table:
% Source / ss / df / ms / F / p
%
% Notes:
% Program does not do any input validation, so it is up to you to make
% sure that you have passed in the parameters in the correct form:
%
% Y, S, F1, and F2 must be numeric vectors all of the same length.
%
% There must be at least one value in Y for each possible Combination
% of S, F1, and F2 (i.e. there must be at least one measurement per
% subject per condition).
%
% If there is more than one measurement per subject X condition, then
% the program will take the mean of those measurements.
%
% Aaron Schurger (2005.02.04)
% Derived from Keppel & Wickens (2004) "Design and Analysis" ch. 18
%
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