inst/extdata/Machines.O.forlme2.R

In forsearch: Diagnostic Analysis Using Forward Search Procedure for Various Models

Machines.O.forlme2 <-
list(`Number of rows included in Step 1` = 36, Subgroups = structure(c(5L, 
6L, 8L, 4L, 3L, 2L, 12L, 7L, 16L, 11L, 13L, 1L, 15L, 10L, 17L, 
14L, 18L, 9L), .Label = c("B--6", "A--6", "A--5", "A--4", "A--1", 
"A--2", "B--2", "A--3", "C--6", "C--2", "B--4", "B--1", "B--5", 
"C--4", "C--1", "B--3", "C--3", "C--5"), class = c("ordered", 
"factor")), `Rows by subgroup` = list(structure(list(Observation = 1:3, 
    Worker = structure(c(1L, 1L, 1L), .Label = "1", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "A", class = "factor"), 
    score = c(51.999999639267337, 52.800003872833962, 53.099980746789704
    ), MW = structure(c(1L, 1L, 1L), .Label = "A--1", class = c("ordered", 
    "factor"))), row.names = c("1", "2", "3"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 4:6, 
    Worker = structure(c(1L, 1L, 1L), .Label = "2", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "A", class = "factor"), 
    score = c(51.799986927048948, 52.799995418213129, 53.100009875232651
    ), MW = structure(c(1L, 1L, 1L), .Label = "A--2", class = c("ordered", 
    "factor"))), row.names = c("4", "5", "6"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 7:9, 
    Worker = structure(c(1L, 1L, 1L), .Label = "3", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "A", class = "factor"), 
    score = c(59.999983566644254, 60.199979522920835, 58.399983128728245
    ), MW = structure(c(1L, 1L, 1L), .Label = "A--3", class = c("ordered", 
    "factor"))), row.names = c("7", "8", "9"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 10:12, 
    Worker = structure(c(1L, 1L, 1L), .Label = "4", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "A", class = "factor"), 
    score = c(51.100002542301773, 52.30000884204258, 50.299993605865751
    ), MW = structure(c(1L, 1L, 1L), .Label = "A--4", class = c("ordered", 
    "factor"))), row.names = c("10", "11", "12"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 13:15, 
    Worker = structure(c(1L, 1L, 1L), .Label = "5", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "A", class = "factor"), 
    score = c(50.900009454276365, 51.800010318710143, 51.399981897475172
    ), MW = structure(c(1L, 1L, 1L), .Label = "A--5", class = c("ordered", 
    "factor"))), row.names = c("13", "14", "15"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 16:18, 
    Worker = structure(c(1L, 1L, 1L), .Label = "6", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "A", class = "factor"), 
    score = c(46.40002166032162, 44.800014370557797, 49.200018809150137
    ), MW = structure(c(1L, 1L, 1L), .Label = "A--6", class = c("ordered", 
    "factor"))), row.names = c("16", "17", "18"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 19:21, 
    Worker = structure(c(1L, 1L, 1L), .Label = "1", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "B", class = "factor"), 
    score = c(62.099983074866451, 62.600013050406233, 63.9999944113029
    ), MW = structure(c(1L, 1L, 1L), .Label = "B--1", class = c("ordered", 
    "factor"))), row.names = c("19", "20", "21"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 22:24, 
    Worker = structure(c(1L, 1L, 1L), .Label = "2", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "B", class = "factor"), 
    score = c(59.700009833725858, 59.99997784211731, 59.000006808881238
    ), MW = structure(c(1L, 1L, 1L), .Label = "B--2", class = c("ordered", 
    "factor"))), row.names = c("22", "23", "24"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 25:27, 
    Worker = structure(c(1L, 1L, 1L), .Label = "3", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "B", class = "factor"), 
    score = c(68.600013885976807, 65.800000457586322, 69.700021683643612
    ), MW = structure(c(1L, 1L, 1L), .Label = "B--3", class = c("ordered", 
    "factor"))), row.names = c("25", "26", "27"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 28:30, 
    Worker = structure(c(1L, 1L, 1L), .Label = "4", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "B", class = "factor"), 
    score = c(63.200013172199874, 62.799999775457117, 62.200008460341294
    ), MW = structure(c(1L, 1L, 1L), .Label = "B--4", class = c("ordered", 
    "factor"))), row.names = c("28", "29", "30"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 31:33, 
    Worker = structure(c(1L, 1L, 1L), .Label = "5", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "B", class = "factor"), 
    score = c(64.800015501166712, 64.999978789846523, 65.399979908868346
    ), MW = structure(c(1L, 1L, 1L), .Label = "B--5", class = c("ordered", 
    "factor"))), row.names = c("31", "32", "33"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 34:36, 
    Worker = structure(c(1L, 1L, 1L), .Label = "6", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "B", class = "factor"), 
    score = c(43.699997891152918, 44.199984976189754, 42.999991557660607
    ), MW = structure(c(1L, 1L, 1L), .Label = "B--6", class = c("ordered", 
    "factor"))), row.names = c("34", "35", "36"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 37:39, 
    Worker = structure(c(1L, 1L, 1L), .Label = "1", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "C", class = "factor"), 
    score = c(67.499986015760228, 67.200007736081076, 66.899983194636448
    ), MW = structure(c(1L, 1L, 1L), .Label = "C--1", class = c("ordered", 
    "factor"))), row.names = c("37", "38", "39"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 40:42, 
    Worker = structure(c(1L, 1L, 1L), .Label = "2", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "C", class = "factor"), 
    score = c(61.500012498093106, 61.699992075080431, 62.299987067208903
    ), MW = structure(c(1L, 1L, 1L), .Label = "C--2", class = c("ordered", 
    "factor"))), row.names = c("40", "41", "42"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 43:45, 
    Worker = structure(c(1L, 1L, 1L), .Label = "3", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "C", class = "factor"), 
    score = c(70.800018584120679, 70.599995848557029, 71.000019076605852
    ), MW = structure(c(1L, 1L, 1L), .Label = "C--3", class = c("ordered", 
    "factor"))), row.names = c("43", "44", "45"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 46:48, 
    Worker = structure(c(1L, 1L, 1L), .Label = "4", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "C", class = "factor"), 
    score = c(64.100002124372821, 66.200020588868568, 63.999995005848355
    ), MW = structure(c(1L, 1L, 1L), .Label = "C--4", class = c("ordered", 
    "factor"))), row.names = c("46", "47", "48"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 49:51, 
    Worker = structure(c(1L, 1L, 1L), .Label = "5", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "C", class = "factor"), 
    score = c(72.100007634470245, 71.999988312881541, 71.10002230085243
    ), MW = structure(c(1L, 1L, 1L), .Label = "C--5", class = c("ordered", 
    "factor"))), row.names = c("49", "50", "51"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE), structure(list(Observation = 52:54, 
    Worker = structure(c(1L, 1L, 1L), .Label = "6", class = c("ordered", 
    "factor")), Machine = structure(c(1L, 1L, 1L), .Label = "C", class = "factor"), 
    score = c(61.999989139535977, 61.400009639966427, 60.5000045583282
    ), MW = structure(c(1L, 1L, 1L), .Label = "C--6", class = c("ordered", 
    "factor"))), row.names = c("52", "53", "54"), class = c("nffGroupedData", 
"nfGroupedData", "groupedData", "data.frame"), formula = score ~ 
    1 | MW, FUN = function (x) 
max(x, na.rm = TRUE), order.groups = TRUE)), `Rows in stage` = list(
    NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 
    NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 
    NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 
    NULL, NULL, NULL, NULL, NULL, c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 
    8L, 9L, 11L, 14L, 19L, 20L, 21L, 22L, 23L, 24L, 26L, 28L, 
    29L, 30L, 31L, 32L, 33L, 37L, 38L, 39L, 40L, 41L, 42L, 46L, 
    47L, 48L, 52L, 53L, 54L), c(3L, 2L, 6L, 5L, 8L, 7L, 11L, 
    10L, 14L, 15L, 18L, 16L, 19L, 20L, 23L, 22L, 26L, 25L, 30L, 
    29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 
    46L, 51L, 50L, 54L, 53L, 52L), c(3L, 2L, 6L, 5L, 7L, 8L, 
    11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 22L, 23L, 26L, 25L, 
    30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 44L, 43L, 
    48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L), c(3L, 2L, 6L, 5L, 
    7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 22L, 23L, 
    26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 
    44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L), c(3L, 
    2L, 6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 
    22L, 23L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 
    40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 
    52L, 42L), c(3L, 2L, 6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 
    18L, 16L, 19L, 20L, 22L, 23L, 26L, 25L, 30L, 29L, 31L, 32L, 
    35L, 34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 
    54L, 53L, 24L, 9L, 52L, 42L, 28L), c(3L, 2L, 6L, 5L, 7L, 
    8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 22L, 23L, 26L, 
    25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 44L, 
    43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L, 42L, 28L, 
    21L), c(3L, 2L, 6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 
    16L, 19L, 20L, 23L, 22L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 
    34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 
    53L, 24L, 9L, 52L, 42L, 28L, 21L, 33L), c(3L, 2L, 6L, 5L, 
    7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 23L, 22L, 
    26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 
    44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L, 42L, 
    28L, 21L, 33L, 47L), c(3L, 2L, 6L, 5L, 8L, 7L, 11L, 10L, 
    14L, 15L, 18L, 16L, 19L, 20L, 23L, 22L, 26L, 25L, 30L, 29L, 
    31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 46L, 
    51L, 50L, 54L, 53L, 24L, 9L, 52L, 42L, 28L, 21L, 33L, 47L, 
    37L), c(3L, 2L, 6L, 5L, 8L, 7L, 11L, 10L, 14L, 15L, 18L, 
    16L, 19L, 20L, 23L, 22L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 
    34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 
    53L, 24L, 52L, 9L, 42L, 28L, 21L, 33L, 47L, 37L, 1L), c(3L, 
    2L, 6L, 5L, 8L, 7L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 
    23L, 22L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 
    40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 
    52L, 42L, 28L, 21L, 33L, 47L, 37L, 1L, 4L), c(3L, 2L, 6L, 
    5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 23L, 
    22L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 
    41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L, 
    42L, 28L, 21L, 33L, 47L, 37L, 1L, 4L, 13L), c(3L, 2L, 6L, 
    5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 22L, 
    23L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 
    41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L, 
    42L, 28L, 21L, 33L, 47L, 37L, 1L, 4L, 13L, 12L), c(3L, 2L, 
    6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 22L, 
    23L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 
    41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L, 
    42L, 28L, 21L, 33L, 47L, 1L, 4L, 37L, 13L, 12L, 27L), c(3L, 
    2L, 6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 
    22L, 23L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 
    40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 
    52L, 42L, 28L, 21L, 33L, 47L, 37L, 1L, 4L, 13L, 12L, 27L, 
    45L), c(3L, 2L, 6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 
    16L, 19L, 20L, 23L, 22L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 
    34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 
    53L, 24L, 9L, 52L, 42L, 28L, 21L, 33L, 47L, 37L, 1L, 4L, 
    13L, 27L, 12L, 45L, 49L), c(3L, 2L, 6L, 5L, 8L, 7L, 11L, 
    10L, 14L, 15L, 18L, 16L, 19L, 20L, 23L, 22L, 26L, 25L, 30L, 
    29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 41L, 44L, 43L, 48L, 
    46L, 51L, 50L, 54L, 53L, 24L, 52L, 9L, 42L, 28L, 21L, 33L, 
    47L, 37L, 1L, 4L, 13L, 27L, 12L, 45L, 49L, 17L), c(3L, 2L, 
    6L, 5L, 7L, 8L, 11L, 10L, 14L, 15L, 18L, 16L, 19L, 20L, 23L, 
    22L, 26L, 25L, 30L, 29L, 31L, 32L, 35L, 34L, 39L, 38L, 40L, 
    41L, 44L, 43L, 48L, 46L, 51L, 50L, 54L, 53L, 24L, 9L, 52L, 
    42L, 28L, 21L, 33L, 47L, 37L, 1L, 4L, 13L, 12L, 27L, 45L, 
    49L, 17L, 36L)), Sigma = 8.0762593382787351, `Standardized residuals` = structure(c(0, 
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