data-raw/signals.R

In johnmackintosh/runcharter: Automatically Plot, Analyse and Revises Limits of Multiple Run Charts

signals <- structure(list(grp = c("WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardX", "WardX", "WardX", "WardX", "WardX", "WardX",
                                  "WardX", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardY", "WardY", "WardY", "WardY", "WardY", "WardY", "WardY",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ",
                                  "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardZ", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV", "WardV", "WardV",
                                  "WardV", "WardV", "WardV", "WardV", "WardV"), y = c(9L, 22L,
                                                                                      19L, 18L, 8L, 7L, 11L, 11L, 11L, 12L, 2L, 8L, 9L, 6L, 7L, 11L,
                                                                                      11L, 11L, 21L, 12L, 21L, 12L, 21L, 13L, 5L, 6L, 4L, 15L, 12L,
                                                                                      7L, 14L, 7L, 9L, 13L, 13L, 7L, 5L, 4L, 10L, 4L, 9L, 4L, 8L, 6L,
                                                                                      9L, 9L, 4L, 5L, 2L, 6L, 16L, 8L, 7L, 6L, 4L, 11L, 18L, 5L, 14L,
                                                                                      12L, 14L, 23L, 9L, 9L, 13L, 4L, 16L, 19L, 18L, 20L, 19L, 19L,
                                                                                      18L, 11L, 8L, 18L, 15L, 3L, 12L, 17L, 11L, 15L, 21L, 15L, 9L,
                                                                                      6L, 9L, 6L, 17L, 12L, 15L, 9L, 20L, 9L, 17L, 15L, 10L, 12L, 14L,
                                                                                      16L, 7L, 3L, 8L, 11L, 7L, 9L, 8L, 8L, 7L, 8L, 2L, 6L, 3L, 4L,
                                                                                      5L, 9L, 4L, 4L, 3L, 6L, 3L, 4L, 5L, 6L, 9L, 11L, 7L, 9L, 4L,
                                                                                      4L, 3L, 5L, 12L, 4L, 4L, 3L, 4L, 3L, 7L, 4L, 5L, 4L, 5L, 6L,
                                                                                      1L, 3L, 9L, 7L, 10L, 3L, 4L, 6L, 10L, 9L, 12L, 9L, 4L, 7L, 6L,
                                                                                      5L, 9L, 10L, 5L, 8L, 16L, 5L, 3L, 3L, 12L, 1L, 7L, 13L, 10L,
                                                                                      19L, 13L, 14L, 1L, 6L, 13L, 17L, 15L, 15L, 15L, 10L, 5L, 18L,
                                                                                      11L, 13L, 2L, 12L, 2L, 7L, 9L, 14L, 3L, 18L, 4L, 5L, 6L, 10L,
                                                                                      18L, 15L, 5L, 9L, 10L, 11L, 15L, 4L, 4L, 11L, 11L, 13L, 4L, 15L,
                                                                                      17L, 15L, 7L, 20L, 18L, 6L), date = structure(c(16071, 16102,
                                                                                                                                      16130, 16161, 16191, 16222, 16252, 16283, 16314, 16344, 16375,
                                                                                                                                      16405, 16436, 16467, 16495, 16526, 16556, 16587, 16617, 16648,
                                                                                                                                      16679, 16709, 16740, 16770, 16801, 16832, 16861, 16892, 16922,
                                                                                                                                      16953, 16983, 17014, 17045, 17075, 17106, 17136, 17167, 17198,
                                                                                                                                      17226, 17257, 17287, 17318, 17348, 17379, 17410, 17440, 17471,
                                                                                                                                      17501, 17532, 17563, 17591, 17622, 17652, 17683, 17713, 16071,
                                                                                                                                      16102, 16130, 16161, 16191, 16222, 16252, 16283, 16314, 16344,
                                                                                                                                      16375, 16405, 16436, 16467, 16495, 16526, 16556, 16587, 16617,
                                                                                                                                      16648, 16679, 16709, 16740, 16770, 16801, 16832, 16861, 16892,
                                                                                                                                      16922, 16953, 16983, 17014, 17045, 17075, 17106, 17136, 17167,
                                                                                                                                      17198, 17226, 17257, 17287, 17318, 17348, 17379, 17410, 17440,
                                                                                                                                      17471, 17501, 17532, 17563, 17591, 17622, 17652, 17683, 17713,
                                                                                                                                      16071, 16102, 16130, 16161, 16191, 16222, 16252, 16283, 16314,
                                                                                                                                      16344, 16375, 16405, 16436, 16467, 16495, 16526, 16556, 16587,
                                                                                                                                      16617, 16648, 16679, 16709, 16740, 16770, 16801, 16832, 16861,
                                                                                                                                      16892, 16922, 16953, 16983, 17014, 17045, 17075, 17106, 17136,
                                                                                                                                      17167, 17198, 17226, 17257, 17287, 17318, 17348, 17379, 17410,
                                                                                                                                      17440, 17471, 17501, 17532, 17563, 17591, 17622, 17652, 17683,
                                                                                                                                      17713, 16071, 16102, 16130, 16161, 16191, 16222, 16252, 16283,
                                                                                                                                      16314, 16344, 16375, 16405, 16436, 16467, 16495, 16526, 16556,
                                                                                                                                      16587, 16617, 16648, 16679, 16709, 16740, 16770, 16801, 16832,
                                                                                                                                      16861, 16892, 16922, 16953, 16983, 17014, 17045, 17075, 17106,
                                                                                                                                      17136, 17167, 17198, 17226, 17257, 17287, 17318, 17348, 17379,
                                                                                                                                      17410, 17440, 17471, 17501, 17532, 17563, 17591, 17622, 17652,
                                                                                                                                      17683, 17713), class = "Date")), row.names = c(NA, -220L), class = c("tbl_df",
                                                                                                                                                                                                           "tbl", "data.frame"))