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Kenneth Reitz
1 line
1.2 KiB
JSON
1 line
1.2 KiB
JSON
[{"user_id": 10890, "stars": [], "topic_id": 12735, "date_created": 1299986933.3806989, "message": "simulate multivariate *correlated* data: http://www.cerebralmastication.com/2010/08/even-simpler-multivariate-correlated-simulations/ -- really simple, just use mvrnorm function from the MASS package.", "group_id": 6150, "id": 338508}, {"user_id": 10890, "stars": [], "topic_id": 12735, "date_created": 1299985555.87484, "message": "this article uses R to simply illustrate the difference between Ordinary Least Squares OLS and Principal Component Analysis PCA: http://www.cerebralmastication.com/2010/09/principal-component-analysis-pca-vs-ordinary-least-squares-ols-a-visual-explination/", "group_id": 6150, "id": 338364}, {"user_id": 10890, "stars": [], "topic_id": 12735, "date_created": 1307412881.4945381, "message": "POWER LAW distributions in empirical data, to fit check out this R code: http://www.santafe.edu/~aaronc/powerlaws", "group_id": 6150, "id": 1315940}, {"user_id": 10890, "stars": [], "topic_id": 12735, "date_created": 1322497147.3617439, "message": "Jan de Leeuw :: Multiple Correspondence Analysis MCA as a form of Nonlinear Principal Component Analysis NLPCA http://ff.im/OmWHS", "group_id": 6150, "id": 2659075}] |