WenJun Zhang School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; International Academy of Ecology and Environmental Sciences, Hong Kong Selforganizology ISSN 2410-0080 http://www.iaees.org/publications/journals/selforganizology/online-version.asp 2015 2 4 65 77 International Academy of Ecology and Environmental Sciences Hong Kong 13 July 2015 10 August 2015 1 December 2015 partial correlation correlation measures proportion correlation statistic test data analysis It is well known that Pearson linear correlations between more than two attributes (nodes, taxa, variables, etc) can be adjusted to partial linear correlations for eliminating indirect between-attribute interactions of other attributes not being tested. In present study I first proposed three correlation measures, revised Dice coefficient, overlap coefficient, and proportion correlation. In addition, I proposed partial correlation measures for some correlation measures, of which Jaccard correlation, revised Dice coefficient, overlap coefficient, and point correlation are for binary attributes; Spearman rank correlation and proportion correlation are for interval value attributes. The full algorithm and Matlab codes (Pearson linear correlation is included also) are given. Users can add other general correlation measures in the Matlab codes. DOI 10.0000/issn-2410-0080-selforganizology-2015-v2-0009 http://www.iaees.org/publications/journals/selforganizology/articles/2015-2(4)/statistic-test-of-partial-correlation-of-general-correlation-measures.pdf