diabetes2 <- structure(list(treatment = structure(c(2L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 1L, 2L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 3L, 3L, 1L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 3L, 2L, 3L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 2L, 2L, 1L, 1L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 3L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 1L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 3L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 2L, 3L, 1L, 3L, 3L, 3L, 1L, 2L, 2L, 3L, 2L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 3L, 3L, 2L, 3L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 3L, 1L, 3L, 3L, 2L, 3L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 3L, 2L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 3L, 3L, 1L, 1L, 3L, 2L, 1L, 3L, 3L, 3L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 2L, 3L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 2L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 2L, 2L), .Label = c("lifestyle", "met", "rosi"), class = "factor"), outcome = structure(c(2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 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1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L ), .Label = c("failure", "success"), class = "factor")), row.names = c(186L, 260L, 400L, 633L, 141L, 624L, 655L, 458L, 435L, 43L, 142L, 122L, 472L, 264L, 528L, 341L, 491L, 677L, 259L, 529L, 635L, 144L, 442L, 85L, 181L, 261L, 10L, 257L, 584L, 229L, 323L, 401L, 330L, 125L, 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