ANOVAN with possibility of columns as the variables as input

Hi

Hi, I have my variables in columns in a long matrix (165x 18) (results of 165 participants on 18 different conditions), and need to test which of the variables are statistically different. However, in the matrix 3 within variables are present. Furthermore, there are some values missing (therefore i wont be able to make use of anova2)... I would like to investigate the effect these within variables together and seperately.

The within values are as followed:

MP = egocentric/allocentric.ambiguous -->>{'egocentric','egocentric','egocentric','egocentric','egocentric','egocentric','allocentric','allocentric','allocentric','allocentric','allocentric','allocentric','ambiguous','ambiguous','ambiguous','ambiguous','ambiguous','ambiguous'};

Trials = yes/no --> {'yes','yes','yes','no','no','no','yes','yes','yes','no','no','no','yes','yes','yes','no','no','no',};

digits = zero/two/five --> {'zero', 'two','five','zero', 'two','five','zero', 'two','five','zero', 'two','five','zero', 'two','five','zero', 'two','five',};

So, i know i need to make use of anovan, however I really struggle to make this work... Is there someone who could help me how to test this? I highly appreciate it, thank you in advance!

0 Comments

Answer 1

[Cris LaPierre]

I don't quite understand you example, but for anovan, the expected input is a column vector of numbers (nx1) and a cell array of factors.

To create an input variable for multicolumn data, do the following:

X = data(:)

To create 3 factor variables, A, B and C, define each one separately. Each entry indicates the factor level for the corresponding value in X (0 or 1).

A = [0 0 1 1...];
B = [0 0 0 0 ...];
C = [0 0 0 0 ...];

If it helps, you can visualize it this way:

level | A | B | C | X

(1) | 0 | 0 | 0 | n1

(1) | 0 | 0 | 0 | n2

a | 1 | 0 | 0 | n3

a | 1 | 0 | 0 | n4

...

Finally, I can call the anovan function with the inputs I've created and specify that I want to use the full model (all possible interactions).

anovan(X(:),{A,B,C},'varnames',{'A','B','C'},"model","full")

[Cris LaPierre]

You can also specify specific interactions doing something like this

anovan(y,{A,B,A.*B,A.^2},'varnames',{'A','B','AB','A^2'})

Answer 2

[annie]

heyy thanks for the reply! but i still dont really understand it... cause if i do data(:) then i will get a 1854x1 vector and then i'm really confused how to specify the factor variables

[Cris LaPierre]

Your factors are what indicate the test conducted on each row. For this reason, each one (A, B and C) would be 1854x1 long.

Answer 3

[annie]

Ahh nevermind, i think i understand it! Thanks!!