Hello. I´m working on my thesis. I´m comparing the stiffness of muscle fibres. My results can be plottet in a way that you have 3 groups of fibres, the speed of stretch is on the X-axis and the corresponding stiffness on the Y-axis. All datapoints are means with error bars in X- and Y-direction. I´m trying to compare the stiffness of a certain speed of length change. The problems are the differences in the X-direction, which make a comparison in the Y-direction rather useless. Is there a possibility to turn the datapoints and the errors into fittet curves that then can be compared and analysed statistically so that one might get a result like: The stiffness significantly differs between those two groups in this range??
I hope, I could make myself at least clear enough to follow?????
I think your problem is that you should find an empirical or theoretic model to fit the data. Then some fitted parameters for the empirical formula can be set as the comparing index for the groups. I know little about your majority, so I cann't give any hints about which formula is suitable for the fitting. You can get some information from prevoius work of others through some references.
If there is no prevoius work can be cited, I think it will be an innovative work to find an approperiate fitting function in the thesis. You can plot the data and select the fitting function which is more alike with the data from the existed fitting functions in Origin, then try to explain the physical meaning of the parameters.
Problem with statistical analysis
Posted - 07/14/2006 : 07:28:36 AM
