Data Analysis Methods

Data Analysis Methods Detail
Correlate summation analysis is a data mining method. It is designed to find the variables that are most covariant with all of the other variables being studied, relative to clustering. Aggregate correlate summation is the product of the totaled negative logarithm of the p-values for all of the correlations to a given variable and its (normalized) standard deviation-to-mean quotient. Discrete correlate summation is the product of the totaled absolute value of the logarithm of the p-value ratios between two groups' correlations to a given variable and its absolute value of the logarithm of the group mean ratios.

The correlation matrices were thus transformed into linear probability matrices. For the two groups, the absolute value of the logarithm of the ratio of each comparison’s p-value gives a log correlation ratio that is larger as the ratio approaches zero or infinity. Each column was totaled to form the discrete correlate summation array.

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods

Data Analysis Methods