Super reduce

From Eigenvector Research Documentation Wiki
Jump to navigation Jump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Purpose

Eliminates highly correlated variables.

Synopsis

corr_values=super_reduce(data,level_corr);

Description

When several variables have a high correlation, the variable(s) with the lower intensity will be deleted, leaving the most intense variable.

Generally used in combination with CODA and COMPARLCMS applications.

Inputs

  • data = matrix to be analyzed or a dataset object. Only included rows and columns will be analyzed

Optional Inputs

  • level_corr = sets the correlation level above which variables will be eliminated. A plot will be made when level_corr is given.

Outputs

  • corr_val = correlation values used for elimination.

See Also

coda_dw, comparelcms_sim_interactive