structure(list(time = structure(c(18262, 18262, 18262, 18262,
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18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
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18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262, 18262,
18262, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293, 18293,
18293, 18293, 18293, 18293, 18293, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322, 18322,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353, 18353,
18353, 18353, 18353, 18353, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383,
18383, 18383, 18383, 18383, 18383, 18383, 18383, 18383, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414, 18414,
18414, 18414, 18414), class = "Date"), group = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("non_medicaid",
"medicaid"), class = "factor"), measure = c("M1", "M2", "M3",
"M4", "M5", "M6", "M7", "M8", "M9", "M10", "M11", "M12", "M13",
"M14", "M16", "M17", "M18", "M19", "M20", "M21", "M1", "M2",
"M3", "M4", "M5", "M6", "M7", "M8", "M9", "M10", "M11", "M12",
"M13", "M14", "M16", "M17", "M18", "M19", "M20", "M21", "M1",
"M2", "M3", "M4", "M5", "M6", "M7", "M8", "M9", "M10", "M11",
"M12", "M13", "M14", "M16", "M17", "M18", "M19", "M20", "M21",
"M1", "M2", "M3", "M4", "M5", "M6", "M7", "M8", "M9", "M10",
"M11", "M12", "M13", "M14", "M16", "M17", "M18", "M19", "M20",
"M21", "M1", "M2", "M3", "M4", "M5", "M6", "M7", "M8", "M9",
"M10", "M11", "M12", "M13", "M14", "M16", "M17", "M18", "M19",
"M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6", "M7", "M8",
"M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17", "M18",
"M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6", "M7",
"M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21", "M1", "M2", "M3", "M4", "M5", "M6",
"M7", "M8", "M9", "M10", "M11", "M12", "M13", "M14", "M16", "M17",
"M18", "M19", "M20", "M21"), numerator = c(11L, 0L, 2L, 0L, 5L,
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3L, 1L, 0L, 0L, 10L, 0L, 1L, 0L, 9L, 9L, 1L, 8L, 0L, 1L, 0L,
8L, 0L, 10L, 1L, 0L, 7L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 5L, 0L,
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0L, 0L, 3L, 0L, 1L, 0L, 2L, 2L, 0L, 1L, 0L, 0L, 0L, 2L, 0L, 3L,
0L, 0L, 1L, 0L, 0L, 0L, 8L, 0L, 4L, 0L, 7L, 7L, 3L, 6L, 0L, 2L,
1L, 4L, 0L, 8L, 2L, 1L, 3L, 0L, 3L, 1L, 9L, 0L, 2L, 0L, 8L, 8L,
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0L, 0L, 3L, 3L, 0L, 3L, 0L, 0L, 0L, 3L, 0L, 4L, 0L, 0L, 3L, 0L,
0L, 0L, 3L, 0L, 0L, 0L, 2L, 2L, 0L, 2L, 0L, 0L, 0L, 2L, 0L, 3L,
0L, 0L, 2L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L,
0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 24L, 9L, 17L, 4L, 0L,
108L, 0L, 24L, 4L, 0L, 0L, 0L, 108L, 108L, 0L, 0L, 0L, 108L,
0L, 0L, 30L, 31L, 20L, 16L, 6L, 277L, 3L, 28L, 16L, 2L, 1L, 0L,
274L, 277L, 0L, 0L, 0L, 274L, 0L, 0L, 19L, 32L, 10L, 18L, 45L,
285L, 12L, 14L, 18L, 10L, 2L, 11L, 262L, 285L, 0L, 0L, 0L, 262L,
0L, 0L, 31L, 7L, 19L, 5L, 11L, 101L, 5L, 27L, 5L, 3L, 2L, 4L,
92L, 101L, 0L, 0L, 1L, 92L, 0L, 0L, 31L, 23L, 22L, 19L, 90L,
250L, 21L, 24L, 19L, 21L, 0L, 10L, 219L, 250L, 1L, 0L, 0L, 215L,
1L, 0L, 38L, 15L, 19L, 7L, 28L, 114L, 9L, 26L, 7L, 7L, 2L, 11L,
94L, 114L, 0L, 0L, 0L, 93L, 0L, 0L, 30L, 41L, 21L, 25L, 1L, 299L,
0L, 29L, 25L, 0L, 0L, 2L, 297L, 299L, 0L, 0L, 0L, 297L, 0L, 0L,
32L, 10L, 21L, 5L, 0L, 119L, 0L, 32L, 5L, 0L, 0L, 0L, 119L, 119L,
0L, 0L, 0L, 119L, 0L, 0L, 41L, 21L, 25L, 12L, 0L, 328L, 0L, 41L,
12L, 0L, 0L, 0L, 328L, 328L, 0L, 0L, 0L, 328L, 0L, 0L, 22L, 9L,
11L, 4L, 0L, 107L, 0L, 22L, 4L, 0L, 0L, 0L, 107L, 107L, 0L, 0L,
0L, 107L, 0L, 0L, 26L, 0L, 15L, 0L, 0L, 108L, 0L, 26L, 0L, 0L,
0L, 0L, 108L, 108L, 0L, 0L, 0L, 108L, 0L, 0L, 31L, 2L, 23L, 0L,
1L, 346L, 1L, 31L, 0L, 1L, 0L, 0L, 345L, 346L, 0L, 0L, 0L, 345L,
0L, 0L, 10L, 6L, 10L, 2L, 31L, 40L, 8L, 3L, 2L, 4L, 4L, 5L, 7L,
51L, 0L, 1L, 2L, 2L, 3L, 7L, 9L, 9L, 1L, 2L, 32L, 30L, 4L, 3L,
2L, 2L, 2L, 8L, 12L, 38L, 1L, 0L, 3L, 0L, 1L, 0L, 9L, 5L, 3L,
0L, 17L, 32L, 3L, 7L, 0L, 1L, 2L, 5L, 4L, 37L, 0L, 0L, 1L, 0L,
1L, 1L, 6L, 7L, 0L, 2L, 20L, 30L, 5L, 4L, 2L, 4L, 1L, 3L, 7L,
34L, 0L, 0L, 1L, 0L, 0L, 0L, 12L, 3L, 6L, 2L, 33L, 42L, 8L, 3L,
2L, 5L, 3L, 10L, 5L, 49L, 0L, 2L, 2L, 1L, 0L, 6L, 8L, 7L, 0L,
3L, 29L, 31L, 5L, 1L, 3L, 2L, 3L, 3L, 7L, 40L, 0L, 0L, 0L, 1L,
0L, 0L, 10L, 4L, 7L, 3L, 31L, 46L, 8L, 5L, 3L, 2L, 6L, 5L, 13L,
49L, 1L, 3L, 1L, 5L, 2L, 5L, 2L, 7L, 0L, 4L, 25L, 36L, 6L, 0L,
4L, 2L, 4L, 0L, 12L, 38L, 0L, 0L, 0L, 0L, 0L, 0L, 21L, 1L, 13L,
1L, 44L, 33L, 9L, 8L, 1L, 4L, 5L, 14L, 9L, 61L, 3L, 4L, 4L, 4L,
5L, 8L, 6L, 5L, 0L, 1L, 30L, 25L, 4L, 3L, 1L, 4L, 0L, 4L, 15L,
37L, 0L, 0L, 0L, 4L, 0L, 0L, 16L, 0L, 5L, 1L, 30L, 20L, 8L, 5L,
1L, 5L, 3L, 7L, 5L, 50L, 1L, 0L, 3L, 2L, 3L, 2L, 6L, 0L, 0L,
0L, 28L, 20L, 5L, 3L, 0L, 3L, 2L, 5L, 5L, 38L, 0L, 0L, 1L, 2L,
0L, 0L), denominator = c(11L, 11L, 11L, 11L, 11L, 11L, 5L, 5L,
11L, 5L, 5L, 5L, 5L, NA, 2L, 0L, 3L, 0L, 0L, 0L, 5L, 5L, 5L,
5L, 5L, 5L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, NA, 0L, 0L, 3L, 1L, 0L,
0L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 9L, 10L, 9L, 9L, 9L, 9L,
NA, 1L, 0L, 8L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L,
0L, 0L, 0L, 0L, NA, 0L, 0L, 0L, 0L, 0L, 0L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, NA, 0L, 0L, 5L, 0L, 0L, 0L, 3L,
3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, NA, 0L, 0L, 2L,
0L, 0L, 0L, 8L, 8L, 8L, 8L, 8L, 8L, 7L, 7L, 8L, 7L, 7L, 7L, 7L,
NA, 2L, 1L, 4L, 0L, 0L, 0L, 9L, 9L, 9L, 9L, 9L, 9L, 8L, 8L, 9L,
8L, 8L, 8L, 8L, NA, 2L, 0L, 6L, 0L, 0L, 0L, 4L, 4L, 4L, 4L, 4L,
4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, NA, 0L, 0L, 3L, 0L, 0L, 0L, 3L,
3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, NA, 0L, 0L, 2L,
0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
NA, 1L, 0L, 0L, 0L, 0L, 0L, 108L, 108L, 108L, 108L, 108L, 108L,
108L, 108L, 108L, 108L, 108L, 108L, 108L, NA, 0L, 0L, 0L, 108L,
9L, 9L, 277L, 277L, 277L, 277L, 277L, 277L, 277L, 277L, 277L,
277L, 277L, 277L, 277L, NA, 2L, 1L, 0L, 274L, 31L, 31L, 285L,
285L, 285L, 285L, 285L, 285L, 285L, 285L, 285L, 285L, 285L, 285L,
285L, NA, 10L, 2L, 11L, 262L, 32L, 32L, 101L, 101L, 101L, 101L,
101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, NA, 3L,
2L, 4L, 92L, 7L, 7L, 250L, 250L, 250L, 250L, 250L, 250L, 250L,
250L, 250L, 250L, 250L, 250L, 250L, NA, 21L, 0L, 10L, 219L, 23L,
23L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L,
114L, 114L, 114L, NA, 7L, 2L, 11L, 94L, 15L, 15L, 299L, 299L,
299L, 299L, 299L, 299L, 299L, 299L, 299L, 299L, 299L, 299L, 299L,
NA, 0L, 0L, 2L, 297L, 41L, 41L, 119L, 119L, 119L, 119L, 119L,
119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, NA, 0L, 0L, 0L,
119L, 10L, 10L, 328L, 328L, 328L, 328L, 328L, 328L, 328L, 328L,
328L, 328L, 328L, 328L, 328L, NA, 0L, 0L, 0L, 328L, 21L, 21L,
107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L,
107L, 107L, NA, 0L, 0L, 0L, 107L, 9L, 9L, 108L, 108L, 108L, 108L,
108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, NA, 0L,
0L, 0L, 108L, 0L, 0L, 346L, 346L, 346L, 346L, 346L, 346L, 346L,
346L, 346L, 346L, 346L, 346L, 346L, NA, 1L, 0L, 0L, 345L, 2L,
2L, 51L, 51L, 51L, 51L, 51L, 51L, 40L, 40L, 51L, 40L, 40L, 40L,
40L, NA, 4L, 4L, 5L, 7L, 6L, 6L, 38L, 38L, 38L, 38L, 38L, 38L,
30L, 30L, 38L, 30L, 30L, 30L, 30L, NA, 2L, 2L, 8L, 12L, 9L, 9L,
37L, 37L, 37L, 37L, 37L, 37L, 32L, 32L, 37L, 32L, 32L, 32L, 32L,
NA, 1L, 2L, 5L, 4L, 5L, 5L, 34L, 34L, 34L, 34L, 34L, 34L, 30L,
30L, 34L, 30L, 30L, 30L, 30L, NA, 4L, 1L, 3L, 7L, 7L, 7L, 49L,
49L, 49L, 49L, 49L, 49L, 42L, 42L, 49L, 42L, 42L, 42L, 42L, NA,
5L, 3L, 10L, 5L, 3L, 3L, 40L, 40L, 40L, 40L, 40L, 40L, 31L, 31L,
40L, 31L, 31L, 31L, 31L, NA, 2L, 3L, 3L, 7L, 7L, 7L, 49L, 49L,
49L, 49L, 49L, 49L, 46L, 46L, 49L, 46L, 46L, 46L, 46L, NA, 2L,
6L, 5L, 13L, 4L, 4L, 38L, 38L, 38L, 38L, 38L, 38L, 36L, 36L,
38L, 36L, 36L, 36L, 36L, NA, 2L, 4L, 0L, 12L, 7L, 7L, 61L, 61L,
61L, 61L, 61L, 61L, 33L, 33L, 61L, 33L, 33L, 33L, 33L, NA, 4L,
5L, 14L, 9L, 1L, 1L, 37L, 37L, 37L, 37L, 37L, 37L, 25L, 25L,
37L, 25L, 25L, 25L, 25L, NA, 4L, 0L, 4L, 15L, 5L, 5L, 50L, 50L,
50L, 50L, 50L, 50L, 20L, 20L, 50L, 20L, 20L, 20L, 20L, NA, 5L,
3L, 7L, 5L, 0L, 0L, 38L, 38L, 38L, 38L, 38L, 38L, 20L, 20L, 38L,
20L, 20L, 20L, 20L, NA, 3L, 2L, 5L, 5L, 0L, 0L), ascribee = c("Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Alice", "Alice", "Alice", "Alice", "Alice",
"Alice", "Alice", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
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"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
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"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
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"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
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"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
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"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob",
"Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Bob", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol", "Carol", "Carol", "Carol", "Carol", "Carol", "Carol",
"Carol")), class = c("spec_tbl_df", "tbl_df", "tbl", "data.frame"
), row.names = c(NA, -700L))
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