MATLAB: Installing The N-way Toolbox

installingMATLABn-way toolboxtoolbox

Dear all, I want to perform PARAFAC analysis and I have some problems installing N-way Toolbox

( http://www.mathworks.com/matlabcentral/fileexchange/1088-the-n-way-toolbox ).

I unzipped the folder in Matlab directory/toolbox and it doesnt work. Is there a specific way it must be installed?

Note that Im running matlab v.R2010a at win7 (x64).

Thanks for your answers

Aristeidis

Best Answer

Don’t install it as a Toolbox similar to the MATLAB Toolboxes. Delete it from wherever you copied it to there.

Instead, create a sub-directory for it in your C:\Users\...\Documents\MATLAB\... directory and copy it to that sub-directory, just as you would any other user file. Be sure to add that sub-directory to your MATLAB search path.

It should work then.

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MATLAB: N-way ANOVA wrong results

Both of the MATLAB output tables make sense to me, but I don't really know what SPSS is doing.

For the MATLAB continuous case, the model says that connection changes linearly with Abstinence, with Relapse, and with Abstinence*Relapse. The 1 df for each of those terms is a slope relating connection to each of these three numerical predictors. (This is really a regression model.)

For the MATLAB non-continuous case, each different score on Abstinence and Relapse indicates a qualitatively different condition (i.e., imagine that the numbers were just arbitrary labels). Since you have 7 different Abstinence values, this model requires 6 df for Abstinence differences. Similarly you have a lot of distinct Relapse values & a whole lot of possible interaction terms. Basically, you have no where near enough data to estimate the parameters of this model, hence all those zeros in the table.

SPSS is claiming 5 dfs for Abstinence and 2 for Relapse, but I don't know why those aren't 6 & 3 (number of distinct scores minus 1). It has excluded the interaction term completely (0 df), presumably because it recognizes that there are not enough data to estimate those terms.

Bottom line: With your data, it does not seem feasible to use ANOVA as you are trying to do it. This analysis is meant to be used with categorical predictors (i.e., having a few distinct values, which are not assumed to be numerically meaningful), and with lots of data for all possible combinations of values on all the different predictors. For example, you would need several cases with Abstinence=4 & Relapse=0, several with Abstinence=4 & Relapse=1, and so on for all possible cases. I think regression modelling is more suitable for the type of data that you seem to have.

MATLAB: N-way ANOVA giving NaN and Inf

According to the documentation, "By default, anovan treats all grouping variables as fixed effects." Your grouping variables do not seem to fit that description. They are continuous variables rather than factors.

% If your variables were factors, these plots would produce staircases
clf()
subplot(3,1,1)
plot(sort(GerBill))
subplot(3,1,2)
plot(sort(Yield_Spread_DE))
subplot(3,1,3)
plot(sort(PT_DE_Spread))

You'll need to indicate that they are continuous predictors by using the continuous property.

 [p,tbl2,stats]=anovan(BPI_r,{GerBill' Yield_Spread_DE' PT_DE_Spread'},'continuous',1:3)

Result

You were getting NaNs because you need to have at least two replications for the same set of factor levels and since your "factors" were in reality continuous variables, there were not any repeated levels.

Best Answer

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