Activity for HM
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HM posted a comment on discussion Help
OK, thanks for letting me know. I'll figure out a solution, or get my hands on that version. Thanks!!
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OK, thanks for letting me know. I'll figure out a solution, or get my hands on that version. Thanks!!
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Hi Joe, I've tried opening the beta version but I've stumbled at the first hurdle: when I type ep into the command window I get this error message: ep Error: File: ep_writeData.m Line: 2055 Column: 29 The input character is not valid in MATLAB statements or expressions. Error in ep (line 950) EPmain.fileFormatSaveList=ep_writeData; I've made sure all of the subfolders are set in the directory etc, but there seems to be a line of the ep_writeData.m that matlab doesn't like. I'm using Matlab 2015b...
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OK - I've sent you a message with my email address. Thanks for the help, again!! Regards,
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Hello all, I'm still getting a lot of use out of the toolkit (so, my continued thanks to Prof. Dien), but have a question regarding the use of the robust ANOVAs: when I view the results, I am provided with the cell means for each condition in the ANOVA, but not the standard deviation. Is there any way I can select for this to be calculated too, or is there a way I could calculate it myself? Or perhaps there's a reason why it isn't necessary when reporting the results... Any help is greatly appreciated....
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If anyone else has this problem I got the info I wanted by calculating the covariance matrix in matlab using 'conv', then running the eigen decomposition using 'eig', and then scaled the eigenvalues to percentage variance accounted for by dividing each eigenvalue by the sum of all eigenvalues and multiplying by 100. The results were identical to those in the EP toolkit screeplot when you select number factors = 0. Regards,
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Hello, OK, I look forward to it, thanks for your help! Regards,
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Hello, I am a novice to PCA, and was wondering if there were any other ways other than those specified in the tutorial of retaining factors in the EP toolkit? For example, I would like to try to retain factors using the minimum percentage of total variance explained by each factor as the criterion, rather than the "Minimum %age accounted for criterion" visible in the scree plot graphic window (which I assume means the minimum percentage of total variance accounted for by all would-be retained factors...
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