10, 2012, at 5:59 PM, semperparatus wrote:
I want to change it because I don't want to compare in this instance
between
conditions, but I simply want to see the contrast t-statistic between
patient and control at every level of condition (1, 2, and 3).
From there I'd like to be able
I'm working with the DFA (detrended fluctuation analysis) function in the
package fractal on postural sway data, and for the life of me can't get the
results to turn out as they should given what my data looks like.
The data resemble a random walk, but the Hurst exponent estimates that I'm
Your problem seems to be exactly the problem I've been having for the past
week. So glad to find this thread.
However, when I follow the syntax you used to get around the issue, I still
didn't get the output to work in the way yours did. I don't believe my
factors are truly nested however (nor
I want to change it because I don't want to compare in this instance between
conditions, but I simply want to see the contrast t-statistic between
patient and control at every level of condition (1, 2, and 3).
From there I'd like to be able to plot the t-statistic for the contrast
between patient
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