ErrorFieldConcordance 0.2

Calculation of trending concordance between two measures using the Error Field method

ErrorFieldConcordance

Thie package provides calculation (and optionally graphing) of trending concordance between two measures using the Error Field method.

This package requires numpy and matplotlib.

Function Call

After importing the package, the method can be called as follows:

Concordance = ErrorFieldConcordance(X,Y,plot_TF=False,graph_label='',XMeasName='ΔX (LPM)',YMeasName='ΔY (LPM)')

The concordance value is a number in the range of [-1,1]. Values close to 1 indicate strong concordance. Values close to -1 indicate strong negative concordance (i.e. the measures tend to move in the opposite direction of one another). Values near 0 suggest independence of the two measures.

Function Parameters:

• The X and Y parameters are lists or arrays of equal size corresponding to paired measures to be compared.
• plot_TF is a boolean that controls whether or not a figure is created
• graph_label is an optional parameter to be prefixed to the graph title
• XMeasName and YMeasName are used to customize the X and Y graph labels

Citing

Please cite this package using the following: PubMed Reference & Citation TBD