pwFitSequenceAnalysis
[stdValues, IDs] = pwFitSequenceAnalysis(percentage, minimumPValue, ...
useDerivedParameters, fits, percentageOutliers)
Analysis of fits including:
1. Chi square values
2. p values
3. Histograms
4. Boxplots
5. Correlation matrix
6. Significant correlations
7. Details of significant correlations
8. Principal component analysis
9. Biplot
10. Dendrogram
percentage: Fraction of best fits used for analysis.
Between 0 and 100 (default).
minimumPValue: Tries to calculate a p value of every fit stating the probability, that
the model is sufficient to describe the data. Uses only fits that have
a higher or equal p palue as minimumPValue. The calculated p value is
based on a chi-square test with N-#p degrees of freedom, where N is the
number of fitted data points and #p corresponds to the number of fitted
parameters.
Default: 0 (i.e. all best fits are used)
useDerivedParameters: true or false (default)
Use this flag if you want to analyse rather the derived parameters than the
original ones
fits: If empty, the fits of the last fit sequence are analyzed.
percentageOutliers: 0..100
The euclidian distance of each parameter to a common centre of gravity
can be used to include only a percentage of outliers. A value
of 90 corresponds to remove the 10% most extreme outliers.
Output:
stdValues: Standard deviation of fitted parameter values
