data/x.sbw.R
In arnima-github/scape: Statistical Catch-at-Age Plotting Environment
x.sbw <-
structure(list(N = structure(list(Sex = c("Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex"
), Year = c(1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L,
1979L, 1979L, 1979L, 1979L, 1980L, 1980L, 1980L, 1980L, 1980L,
1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1981L, 1981L, 1981L,
1981L, 1981L, 1981L, 1981L, 1981L, 1981L, 1981L, 1981L, 1982L,
1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L,
1982L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L,
1983L, 1983L, 1983L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L,
1984L, 1984L, 1984L, 1984L, 1984L, 1985L, 1985L, 1985L, 1985L,
1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1986L, 1986L,
1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1986L,
1987L, 1987L, 1987L, 1987L, 1987L, 1987L, 1987L, 1987L, 1987L,
1987L, 1987L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L,
1988L, 1988L, 1988L, 1988L, 1989L, 1989L, 1989L, 1989L, 1989L,
1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1990L, 1990L, 1990L,
1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1991L,
1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L,
1991L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L,
1992L, 1992L, 1992L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L,
1993L, 1993L, 1993L, 1993L, 1993L, 1994L, 1994L, 1994L, 1994L,
1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1995L, 1995L,
1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L,
1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1996L,
1996L, 1996L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L,
1997L, 1997L, 1997L, 1997L, 1998L, 1998L, 1998L, 1998L, 1998L,
1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1999L, 1999L, 1999L,
1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 2000L,
2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L,
2000L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L,
2001L, 2001L, 2001L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L,
2002L, 2002L, 2002L, 2002L, 2002L, 2003L, 2003L, 2003L, 2003L,
2003L, 2003L, 2003L, 2003L, 2003L, 2003L, 2003L), Age = c(1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L), N = c(11388, 9186.59, 9322.11, 27378.3, 9400.87,
6118.08, 7056.13, 10557.6, 3735.48, 4300.04, 173854, 165808,
9322.44, 7440.03, 6738.17, 18108.2, 6217.8, 4046.54, 4666.98,
6982.89, 2470.68, 117833, 179990, 135740, 7578.74, 5625.83, 4825.16,
12967.2, 4452.53, 2897.7, 3341.99, 5000.41, 86148.8, 41363, 147356,
110655, 5915.24, 4253.29, 3647.96, 9803.56, 3366.25, 2190.75,
2526.65, 68911.6, 8369.18, 33862.8, 119987, 85250.1, 4374.16,
3145.2, 2697.58, 7249.48, 2489.25, 1620.01, 52826.8, 56502.2,
6851.46, 27521.2, 90430.7, 60699.1, 3114.46, 2239.42, 1920.71,
5161.72, 1772.38, 38766.9, 47015.9, 46256.6, 5576.62, 21101.2,
66324.3, 44518.3, 2284.23, 1642.45, 1408.7, 3785.75, 29732.6,
45379.5, 38491.1, 37700.8, 4342.51, 15890.6, 49946.8, 33525.4,
1720.18, 1236.88, 1060.85, 25241.7, 101929, 37148.6, 31187.3,
27400.2, 2900.4, 10613.5, 33359.9, 22391.9, 1148.93, 826.126,
17567.8, 44995.9, 83442.3, 30119.3, 22846.1, 18560, 1964.64,
7189.25, 22597, 15167.6, 778.248, 12459.5, 122039, 36832.6, 67317.4,
20750.2, 13841, 11244.3, 1190.25, 4355.5, 13690.1, 9189.08, 8019.92,
8233.83, 99885.6, 29419.7, 40532, 9615.83, 6414.03, 5210.71,
551.572, 2018.38, 6344.13, 7974.88, 64160.3, 6739.61, 80194.6,
19028.5, 21754.1, 5160.95, 3442.5, 2796.66, 296.037, 1083.3,
7685.27, 900649, 52513.7, 5384.67, 48474.4, 8891.55, 10165.1,
2411.59, 1608.6, 1306.82, 138.332, 4097.38, 186203, 737206, 42166.9,
3488.9, 26107.4, 4788.82, 5474.76, 1298.84, 866.364, 703.83,
2281.3, 80228, 152425, 595803, 29707.1, 2202.84, 16483.8, 3023.58,
3456.68, 820.066, 547.009, 1884.77, 29719.9, 65679.9, 124029,
455349, 21667.9, 1606.72, 12023, 2205.36, 2521.25, 598.145, 1773.71,
242767, 24331.5, 53588.1, 97738.2, 349878, 16649.1, 1234.56,
9238.2, 1694.54, 1937.27, 1822.47, 156472, 198748, 19822.9, 41534.4,
73021.5, 261398, 12438.7, 922.356, 6901.98, 1266.02, 2808.95,
53870, 128098, 161730, 15158.3, 30323.7, 53312, 190844, 9081.35,
673.4, 5039.05, 2975.09, 183414, 44099.7, 103884, 118813, 10319.7,
20644.3, 36294.7, 129926, 6182.56, 458.449, 5456.01, 71792.6,
150147, 35741.4, 75751.7, 79826.7, 6933.52, 13870.3, 24385.3,
87293.3, 4153.88, 3973.76, 127945, 58773.3, 122032, 26945.8,
53966.2, 56869.3, 4939.5, 9881.31, 17372.3, 62188.6, 5790.22,
80898.8, 104736, 47516, 86331.6, 17143, 34333.4, 36180.4, 3142.53,
6286.53, 11052.3, 43248.5, 132697, 66222.2, 84525.9, 32883.4,
52743.5, 10473.3, 20975.7, 22104.1, 1919.9, 3840.71, 33174.7)), class = "data.frame", row.names = c(NA,
-275L)), B = structure(list(Year = 1979:2003, VB = c(131690,
102328, 78202.7, 81762.9, 98222.7, 103435, 93393.3, 82795, 74156.8,
66999.4, 61316.9, 48023.5, 49651.9, 41522.6, 40712, 106922, 169675,
188673, 174776, 161236, 151664, 141758, 134561, 125483, 108262
), SB = c(144912, 112910, 86131, 89790.7, 106502, 112214, 102675,
91262.4, 81174.9, 73292.2, 67014.5, 51936.8, 54155.3, 44591.2,
44066.9, 115982, 180145, 206647, 192110, 177517, 165516, 155116,
147828, 136696, 118563), Y = c(25305, 12828, 5989, 7915, 12803,
10777, 7490, 15252, 12804, 17422, 26611, 16542, 21314, 14208,
9316, 11668, 10436, 16504, 18923, 27164, 27205, 18409, 29999,
31847, NA), R = c(165808, 179990, 41363, 8369.18, 56502.2, 47015.9,
45379.5, 101929, 44995.9, 122039, 8233.83, 64160.3, 900649, 186203,
80228, 29719.9, 242767, 156472, 53870, 183414, 71792.6, 127945,
80898.8, 132697, NA)), row.names = c(NA, -25L), class = "data.frame"),
Sel = structure(list(Series = c("Gear 1", "Gear 1", "Gear 1",
"Gear 1", "Gear 1", "Gear 1", "Gear 1", "Gear 1", "Gear 1",
"Gear 1", "Gear 1", "Survey 1", "Survey 1", "Survey 1", "Survey 1",
"Survey 1", "Survey 1", "Survey 1", "Survey 1", "Survey 1",
"Survey 1", "Survey 1", "Maturity", "Maturity", "Maturity",
"Maturity", "Maturity", "Maturity", "Maturity", "Maturity",
"Maturity", "Maturity", "Maturity"), Sex = c("Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex"), Age = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L), P = c(0.000722682,
0.0562608, 0.609665, 1, 0.999999, 0.999998, 0.999997, 0.999994,
0.999991, 0.999988, 0.999984, 0, 0, 0, 1, 1, 0.999999, 0.999997,
0.999995, 0.999992, 0.999989, 0.999985, 0, 0.0500001084745763,
0.600000739281345, 0.950000460358527, 1, 1, 1, 1, 1, 1, 1
)), class = "data.frame", row.names = c(NA, -33L)), Dev = list(
sigmaR = c(Initial = 1, Annual = 1), Initial = c(`2` = -0.615429,
`3` = -0.400785, `4` = 0.876576, `5` = 0.00762806, `6` = -0.221926,
`7` = 0.120723, `8` = 0.723673, `9` = -0.115298, `10` = 0.225449
), Annual = c(`1979` = -0.600611, `1980` = 0.719962,
`1981` = 0.815184, `1982` = -0.637111, `1983` = -2.23805,
`1984` = -0.339889, `1985` = -0.526867, `1986` = -0.556781,
`1987` = 0.260493, `1988` = -0.548288, `1989` = 0.45809,
`1990` = -2.22976, `1991` = -0.149204, `1992` = 2.48759,
`1993` = 0.93586, `1994` = 0.0955285, `1995` = -0.987471,
`1996` = 1.09206, `1997` = 0.647962, `1998` = -0.415831,
`1999` = 0.812267, `2000` = -0.122915, `2001` = 0.457657,
`2002` = 0.00141056)), Survey = structure(list(Series = c(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), Year = 1979:2003, Obs = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 24033,
28841, 130535, NA, NA, 167668, NA, 135612, NA, 152799, NA
), CV = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 0.21, 0.36, 0.3, NA, NA, 0.18, NA, 0.17, NA, 0.68,
NA), Fit = c(131132, 101753, 76179.8, 63659.7, 77767.5, 99650.3,
92735.1, 76805.8, 68144.5, 60860.9, 48915, 42275.8, 36504.8,
40120.1, 26655.2, 33008.6, 153798, 181734, 171010, 144240,
138038, 135669, 116150, 116800, 92971.4)), row.names = c(NA,
-25L), class = "data.frame"), CAc = structure(list(Series = c(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, 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, 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, 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, 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, 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, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Year = c(1979L,
1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L,
1979L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L,
1980L, 1980L, 1980L, 1981L, 1981L, 1981L, 1981L, 1981L, 1981L,
1981L, 1981L, 1981L, 1981L, 1981L, 1982L, 1982L, 1982L, 1982L,
1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1983L, 1983L,
1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L,
1984L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L,
1984L, 1984L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L,
1985L, 1985L, 1985L, 1985L, 1986L, 1986L, 1986L, 1986L, 1986L,
1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1988L, 1988L, 1988L,
1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1989L,
1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L,
1989L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L,
1990L, 1990L, 1990L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L,
1991L, 1991L, 1991L, 1991L, 1991L, 1992L, 1992L, 1992L, 1992L,
1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1993L, 1993L,
1993L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L,
1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L,
1994L, 1994L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L,
1995L, 1995L, 1995L, 1995L, 1996L, 1996L, 1996L, 1996L, 1996L,
1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1997L, 1997L, 1997L,
1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1998L,
1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1998L,
1998L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L,
1999L, 1999L, 1999L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L,
2000L, 2000L, 2000L, 2000L, 2000L, 2001L, 2001L, 2001L, 2001L,
2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2002L, 2002L,
2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L
), SS = c(20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 33, 33, 33, 33, 33,
33, 33, 33, 33, 33, 33, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206,
133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 94,
94, 94, 94, 94, 94, 94, 94, 94, 94, 94, 52, 52, 52, 52, 52,
52, 52, 52, 52, 52, 52, 121, 121, 121, 121, 121, 121, 121,
121, 121, 121, 121, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55,
55, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 76, 76, 76,
76, 76, 76, 76, 76, 76, 76, 76, 96, 96, 96, 96, 96, 96, 96,
96, 96, 96, 96, 185, 185, 185, 185, 185, 185, 185, 185, 185,
185, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 175, 175, 175, 175, 175, 175, 175, 175, 175, 175, 175,
168, 168, 168, 168, 168, 168, 168, 168, 168, 168, 168, 321,
321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 185, 185,
185, 185, 185, 185, 185, 185, 185, 185, 185), Sex = c("Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex"
), Age = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L), Obs = c(0, 0.0087, 0.0218, 0.2116, 0.0676,
0.0159, 0.0094, 0.0722, 0.0088, 0.0211, 0.5629, 0, 0.0022,
0.0125, 0.0295, 0.0716, 0.0105, 0.0324, 0.0241, 0.038, 0.0047,
0.7745, 0, 0.1547, 0.0093, 0.021, 0.0182, 0.0579, 0.0254,
0.0119, 0.0445, 0.0413, 0.6158, 0, 0.1152, 0.4338, 0.0625,
0.0252, 0.0137, 0.066, 0.0102, 0.0084, 0.0204, 0.2446, 0,
0.0333, 0.3893, 0.2786, 0.0119, 0.0157, 0.0123, 0.042, 0.0096,
2e-04, 0.2071, 0, 0.0022, 0.056, 0.2683, 0.3146, 0.0395,
0.0281, 0.0239, 0.058, 0.0184, 0.191, 0, 0.0233, 0.0118,
0.135, 0.3021, 0.2437, 0.0148, 0.0082, 0.0148, 0.0315, 0.2148,
0, 0.032, 0.1145, 0.0528, 0.0632, 0.2336, 0.2284, 0.0301,
0.017, 0.0249, 0.2035, 0, 0.0846, 0.1692, 0.169, 0.1332,
0.0039, 0.0517, 0.1958, 0.0974, 0.0061, 0.0891, 0, 0.0044,
0.2359, 0.139, 0.1159, 0.1147, 0.009, 0.0508, 0.1471, 0.0985,
0.0847, 0, 0.0268, 0.1484, 0.4747, 0.0839, 0.0617, 0.0568,
0.0089, 0.0168, 0.0441, 0.0779, 0, 0.003, 0.6124, 0.14, 0.1274,
0.0342, 0.0227, 0.0111, 0.0049, 0.0086, 0.0357, 0, 0.0973,
0.0193, 0.504, 0.1519, 0.1496, 0.0167, 0.0184, 0.0131, 0.0023,
0.0274, 0, 0.033, 0.3778, 0.0435, 0.3041, 0.0765, 0.1062,
0.0151, 0.0126, 0.0075, 0.0237, 0, 0.0335, 0.8324, 0.0657,
0.0043, 0.0368, 0.0069, 0.0155, 0.0014, 7e-04, 0.0028, 0,
0.0045, 0.103, 0.7913, 0.0421, 0.0022, 0.0309, 0.0049, 0.0156,
0.0011, 0.0044, 0, 0.0044, 0.0694, 0.1921, 0.6913, 0.0137,
0.0031, 0.015, 0.0031, 0.0035, 0.0044, 0, 0.0302, 0.0327,
0.0961, 0.1488, 0.6316, 0.0211, 0.0117, 0.0129, 0.005, 0.0099,
0, 0.0165, 0.1434, 0.0555, 0.0729, 0.1524, 0.5193, 0.0108,
0.0133, 0.0075, 0.0084, 0, 0.0127, 0.142, 0.3067, 0.0112,
0.0556, 0.0753, 0.349, 0.0208, 0.0063, 0.0204, 0, 0.0337,
0.0641, 0.2438, 0.2762, 0.0373, 0.0419, 0.0652, 0.2136, 0.008,
0.0162, 0, 0.0236, 0.2502, 0.0796, 0.1479, 0.1828, 0.0075,
0.0349, 0.0849, 0.1626, 0.026, 0, 0.0234, 0.093, 0.2719,
0.0592, 0.1702, 0.1054, 0.0176, 0.0204, 0.0746, 0.1643),
Fit = c(3.31e-05, 0.00207897, 0.0228609, 0.110127, 0.0378143,
0.0246095, 0.0283827, 0.042467, 0.0150256, 0.0172964,
0.699304, 0.000695684, 0.00304506, 0.0263346, 0.0391203,
0.105132, 0.0360991, 0.0234932, 0.0270953, 0.0405407,
0.014344, 0.6841, 0.000945006, 0.0554818, 0.0335681,
0.0408719, 0.035055, 0.0942068, 0.0323477, 0.0210518,
0.0242795, 0.0363277, 0.625865, 0.00016946, 0.0469982,
0.382448, 0.0335336, 0.024112, 0.0206804, 0.0555765,
0.0190832, 0.0124193, 0.0143235, 0.390656, 2.58e-05,
0.00811685, 0.311664, 0.363207, 0.0186361, 0.0134001,
0.0114929, 0.0308861, 0.0106053, 0.00690193, 0.225064,
0.000184507, 0.00174176, 0.0758156, 0.408616, 0.274272,
0.0140728, 0.0101189, 0.00867877, 0.0233233, 0.0080085,
0.175168, 0.000192145, 0.0147169, 0.0192264, 0.119328,
0.375067, 0.251753, 0.0129174, 0.00928809, 0.00796619,
0.0214083, 0.168137, 0.000207369, 0.0136932, 0.145338,
0.0274586, 0.10048, 0.315824, 0.211987, 0.010877, 0.00782099,
0.00670789, 0.159606, 0.000260869, 0.0376612, 0.147312,
0.18328, 0.148895, 0.015761, 0.0576746, 0.18128, 0.121679,
0.00624331, 0.0999529, 0.000702855, 0.0165143, 0.327069,
0.165365, 0.110303, 0.0896091, 0.00948541, 0.0347101,
0.109099, 0.0732298, 0.0639122, 5.82e-05, 0.0549743,
0.175461, 0.396505, 0.0940672, 0.0627453, 0.0509737,
0.00539574, 0.0197447, 0.0620609, 0.0780133, 0.00041937,
0.00342946, 0.442202, 0.172103, 0.196755, 0.0466781,
0.0311356, 0.0252943, 0.00267748, 0.00979778, 0.0695082,
0.00775027, 0.0351797, 0.0390899, 0.577201, 0.105875,
0.121039, 0.0287155, 0.019154, 0.0155606, 0.00164714,
0.0487881, 0.00119796, 0.369238, 0.228862, 0.0310599,
0.232421, 0.0426324, 0.0487388, 0.0115628, 0.00771272,
0.00626576, 0.0203089, 0.000134836, 0.0199431, 0.844746,
0.0690862, 0.00512287, 0.0383344, 0.00703157, 0.00803874,
0.00190712, 0.0012721, 0.00438311, 3.72e-05, 0.00640331,
0.131033, 0.78906, 0.0375476, 0.00278423, 0.0208343,
0.00382158, 0.00436896, 0.0010365, 0.00307355, 0.000341059,
0.00266114, 0.0635116, 0.190002, 0.680157, 0.0323655,
0.00239996, 0.0179588, 0.00329414, 0.00376597, 0.0035428,
0.000266903, 0.0263924, 0.0285252, 0.0980344, 0.172354,
0.616982, 0.0293592, 0.00217704, 0.0162907, 0.00298816,
0.00662991, 9.42e-05, 0.0174395, 0.238598, 0.0366805,
0.0733781, 0.129006, 0.461807, 0.0219752, 0.0016295,
0.0121935, 0.00719907, 0.000336386, 0.0062965, 0.160731,
0.301524, 0.0261895, 0.0523911, 0.0921085, 0.329724,
0.01569, 0.00116344, 0.0138461, 0.000158918, 0.0258745,
0.0667437, 0.232028, 0.244509, 0.0212374, 0.0424846,
0.0746919, 0.267377, 0.0127232, 0.0121714, 0.000292838,
0.0104723, 0.235626, 0.085339, 0.170914, 0.180108, 0.0156437,
0.0312946, 0.0550188, 0.196953, 0.0183377, 0.000214439,
0.021613, 0.106254, 0.316654, 0.0628784, 0.125931, 0.132705,
0.0115264, 0.023058, 0.0405382, 0.158628)), row.names = c(NA,
-253L), class = "data.frame")), call = quote(importCol(res.file = "~/r/library/scape/example/sbw.res",
Dev = TRUE, Survey = TRUE, CAc = TRUE)), class = "scape")
arnima-github/scape documentation built on Jan. 17, 2024, 2:39 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
x.sbw <-
structure(list(N = structure(list(Sex = c("Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex"
), Year = c(1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L,
1979L, 1979L, 1979L, 1979L, 1980L, 1980L, 1980L, 1980L, 1980L,
1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1981L, 1981L, 1981L,
1981L, 1981L, 1981L, 1981L, 1981L, 1981L, 1981L, 1981L, 1982L,
1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L,
1982L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L,
1983L, 1983L, 1983L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L,
1984L, 1984L, 1984L, 1984L, 1984L, 1985L, 1985L, 1985L, 1985L,
1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1986L, 1986L,
1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1986L,
1987L, 1987L, 1987L, 1987L, 1987L, 1987L, 1987L, 1987L, 1987L,
1987L, 1987L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L,
1988L, 1988L, 1988L, 1988L, 1989L, 1989L, 1989L, 1989L, 1989L,
1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1990L, 1990L, 1990L,
1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1991L,
1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L,
1991L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L,
1992L, 1992L, 1992L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L,
1993L, 1993L, 1993L, 1993L, 1993L, 1994L, 1994L, 1994L, 1994L,
1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1995L, 1995L,
1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L,
1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1996L,
1996L, 1996L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L,
1997L, 1997L, 1997L, 1997L, 1998L, 1998L, 1998L, 1998L, 1998L,
1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1999L, 1999L, 1999L,
1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 2000L,
2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L,
2000L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L,
2001L, 2001L, 2001L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L,
2002L, 2002L, 2002L, 2002L, 2002L, 2003L, 2003L, 2003L, 2003L,
2003L, 2003L, 2003L, 2003L, 2003L, 2003L, 2003L), Age = c(1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L), N = c(11388, 9186.59, 9322.11, 27378.3, 9400.87,
6118.08, 7056.13, 10557.6, 3735.48, 4300.04, 173854, 165808,
9322.44, 7440.03, 6738.17, 18108.2, 6217.8, 4046.54, 4666.98,
6982.89, 2470.68, 117833, 179990, 135740, 7578.74, 5625.83, 4825.16,
12967.2, 4452.53, 2897.7, 3341.99, 5000.41, 86148.8, 41363, 147356,
110655, 5915.24, 4253.29, 3647.96, 9803.56, 3366.25, 2190.75,
2526.65, 68911.6, 8369.18, 33862.8, 119987, 85250.1, 4374.16,
3145.2, 2697.58, 7249.48, 2489.25, 1620.01, 52826.8, 56502.2,
6851.46, 27521.2, 90430.7, 60699.1, 3114.46, 2239.42, 1920.71,
5161.72, 1772.38, 38766.9, 47015.9, 46256.6, 5576.62, 21101.2,
66324.3, 44518.3, 2284.23, 1642.45, 1408.7, 3785.75, 29732.6,
45379.5, 38491.1, 37700.8, 4342.51, 15890.6, 49946.8, 33525.4,
1720.18, 1236.88, 1060.85, 25241.7, 101929, 37148.6, 31187.3,
27400.2, 2900.4, 10613.5, 33359.9, 22391.9, 1148.93, 826.126,
17567.8, 44995.9, 83442.3, 30119.3, 22846.1, 18560, 1964.64,
7189.25, 22597, 15167.6, 778.248, 12459.5, 122039, 36832.6, 67317.4,
20750.2, 13841, 11244.3, 1190.25, 4355.5, 13690.1, 9189.08, 8019.92,
8233.83, 99885.6, 29419.7, 40532, 9615.83, 6414.03, 5210.71,
551.572, 2018.38, 6344.13, 7974.88, 64160.3, 6739.61, 80194.6,
19028.5, 21754.1, 5160.95, 3442.5, 2796.66, 296.037, 1083.3,
7685.27, 900649, 52513.7, 5384.67, 48474.4, 8891.55, 10165.1,
2411.59, 1608.6, 1306.82, 138.332, 4097.38, 186203, 737206, 42166.9,
3488.9, 26107.4, 4788.82, 5474.76, 1298.84, 866.364, 703.83,
2281.3, 80228, 152425, 595803, 29707.1, 2202.84, 16483.8, 3023.58,
3456.68, 820.066, 547.009, 1884.77, 29719.9, 65679.9, 124029,
455349, 21667.9, 1606.72, 12023, 2205.36, 2521.25, 598.145, 1773.71,
242767, 24331.5, 53588.1, 97738.2, 349878, 16649.1, 1234.56,
9238.2, 1694.54, 1937.27, 1822.47, 156472, 198748, 19822.9, 41534.4,
73021.5, 261398, 12438.7, 922.356, 6901.98, 1266.02, 2808.95,
53870, 128098, 161730, 15158.3, 30323.7, 53312, 190844, 9081.35,
673.4, 5039.05, 2975.09, 183414, 44099.7, 103884, 118813, 10319.7,
20644.3, 36294.7, 129926, 6182.56, 458.449, 5456.01, 71792.6,
150147, 35741.4, 75751.7, 79826.7, 6933.52, 13870.3, 24385.3,
87293.3, 4153.88, 3973.76, 127945, 58773.3, 122032, 26945.8,
53966.2, 56869.3, 4939.5, 9881.31, 17372.3, 62188.6, 5790.22,
80898.8, 104736, 47516, 86331.6, 17143, 34333.4, 36180.4, 3142.53,
6286.53, 11052.3, 43248.5, 132697, 66222.2, 84525.9, 32883.4,
52743.5, 10473.3, 20975.7, 22104.1, 1919.9, 3840.71, 33174.7)), class = "data.frame", row.names = c(NA,
-275L)), B = structure(list(Year = 1979:2003, VB = c(131690,
102328, 78202.7, 81762.9, 98222.7, 103435, 93393.3, 82795, 74156.8,
66999.4, 61316.9, 48023.5, 49651.9, 41522.6, 40712, 106922, 169675,
188673, 174776, 161236, 151664, 141758, 134561, 125483, 108262
), SB = c(144912, 112910, 86131, 89790.7, 106502, 112214, 102675,
91262.4, 81174.9, 73292.2, 67014.5, 51936.8, 54155.3, 44591.2,
44066.9, 115982, 180145, 206647, 192110, 177517, 165516, 155116,
147828, 136696, 118563), Y = c(25305, 12828, 5989, 7915, 12803,
10777, 7490, 15252, 12804, 17422, 26611, 16542, 21314, 14208,
9316, 11668, 10436, 16504, 18923, 27164, 27205, 18409, 29999,
31847, NA), R = c(165808, 179990, 41363, 8369.18, 56502.2, 47015.9,
45379.5, 101929, 44995.9, 122039, 8233.83, 64160.3, 900649, 186203,
80228, 29719.9, 242767, 156472, 53870, 183414, 71792.6, 127945,
80898.8, 132697, NA)), row.names = c(NA, -25L), class = "data.frame"),
Sel = structure(list(Series = c("Gear 1", "Gear 1", "Gear 1",
"Gear 1", "Gear 1", "Gear 1", "Gear 1", "Gear 1", "Gear 1",
"Gear 1", "Gear 1", "Survey 1", "Survey 1", "Survey 1", "Survey 1",
"Survey 1", "Survey 1", "Survey 1", "Survey 1", "Survey 1",
"Survey 1", "Survey 1", "Maturity", "Maturity", "Maturity",
"Maturity", "Maturity", "Maturity", "Maturity", "Maturity",
"Maturity", "Maturity", "Maturity"), Sex = c("Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex"), Age = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L), P = c(0.000722682,
0.0562608, 0.609665, 1, 0.999999, 0.999998, 0.999997, 0.999994,
0.999991, 0.999988, 0.999984, 0, 0, 0, 1, 1, 0.999999, 0.999997,
0.999995, 0.999992, 0.999989, 0.999985, 0, 0.0500001084745763,
0.600000739281345, 0.950000460358527, 1, 1, 1, 1, 1, 1, 1
)), class = "data.frame", row.names = c(NA, -33L)), Dev = list(
sigmaR = c(Initial = 1, Annual = 1), Initial = c(`2` = -0.615429,
`3` = -0.400785, `4` = 0.876576, `5` = 0.00762806, `6` = -0.221926,
`7` = 0.120723, `8` = 0.723673, `9` = -0.115298, `10` = 0.225449
), Annual = c(`1979` = -0.600611, `1980` = 0.719962,
`1981` = 0.815184, `1982` = -0.637111, `1983` = -2.23805,
`1984` = -0.339889, `1985` = -0.526867, `1986` = -0.556781,
`1987` = 0.260493, `1988` = -0.548288, `1989` = 0.45809,
`1990` = -2.22976, `1991` = -0.149204, `1992` = 2.48759,
`1993` = 0.93586, `1994` = 0.0955285, `1995` = -0.987471,
`1996` = 1.09206, `1997` = 0.647962, `1998` = -0.415831,
`1999` = 0.812267, `2000` = -0.122915, `2001` = 0.457657,
`2002` = 0.00141056)), Survey = structure(list(Series = c(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), Year = 1979:2003, Obs = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 24033,
28841, 130535, NA, NA, 167668, NA, 135612, NA, 152799, NA
), CV = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 0.21, 0.36, 0.3, NA, NA, 0.18, NA, 0.17, NA, 0.68,
NA), Fit = c(131132, 101753, 76179.8, 63659.7, 77767.5, 99650.3,
92735.1, 76805.8, 68144.5, 60860.9, 48915, 42275.8, 36504.8,
40120.1, 26655.2, 33008.6, 153798, 181734, 171010, 144240,
138038, 135669, 116150, 116800, 92971.4)), row.names = c(NA,
-25L), class = "data.frame"), CAc = structure(list(Series = c(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, 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, 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, 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, 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, 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, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Year = c(1979L,
1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L, 1979L,
1979L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L, 1980L,
1980L, 1980L, 1980L, 1981L, 1981L, 1981L, 1981L, 1981L, 1981L,
1981L, 1981L, 1981L, 1981L, 1981L, 1982L, 1982L, 1982L, 1982L,
1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1982L, 1983L, 1983L,
1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L, 1983L,
1984L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L, 1984L,
1984L, 1984L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L, 1985L,
1985L, 1985L, 1985L, 1985L, 1986L, 1986L, 1986L, 1986L, 1986L,
1986L, 1986L, 1986L, 1986L, 1986L, 1986L, 1988L, 1988L, 1988L,
1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1988L, 1989L,
1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L, 1989L,
1989L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L, 1990L,
1990L, 1990L, 1990L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L,
1991L, 1991L, 1991L, 1991L, 1991L, 1992L, 1992L, 1992L, 1992L,
1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1993L, 1993L,
1993L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L, 1993L,
1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L, 1994L,
1994L, 1994L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L,
1995L, 1995L, 1995L, 1995L, 1996L, 1996L, 1996L, 1996L, 1996L,
1996L, 1996L, 1996L, 1996L, 1996L, 1996L, 1997L, 1997L, 1997L,
1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1997L, 1998L,
1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1998L, 1998L,
1998L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L, 1999L,
1999L, 1999L, 1999L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L,
2000L, 2000L, 2000L, 2000L, 2000L, 2001L, 2001L, 2001L, 2001L,
2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2002L, 2002L,
2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L
), SS = c(20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 33, 33, 33, 33, 33,
33, 33, 33, 33, 33, 33, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206,
133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 94,
94, 94, 94, 94, 94, 94, 94, 94, 94, 94, 52, 52, 52, 52, 52,
52, 52, 52, 52, 52, 52, 121, 121, 121, 121, 121, 121, 121,
121, 121, 121, 121, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55,
55, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 76, 76, 76,
76, 76, 76, 76, 76, 76, 76, 76, 96, 96, 96, 96, 96, 96, 96,
96, 96, 96, 96, 185, 185, 185, 185, 185, 185, 185, 185, 185,
185, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 175, 175, 175, 175, 175, 175, 175, 175, 175, 175, 175,
168, 168, 168, 168, 168, 168, 168, 168, 168, 168, 168, 321,
321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 185, 185,
185, 185, 185, 185, 185, 185, 185, 185, 185), Sex = c("Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex",
"Unisex", "Unisex", "Unisex", "Unisex", "Unisex", "Unisex"
), Age = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L), Obs = c(0, 0.0087, 0.0218, 0.2116, 0.0676,
0.0159, 0.0094, 0.0722, 0.0088, 0.0211, 0.5629, 0, 0.0022,
0.0125, 0.0295, 0.0716, 0.0105, 0.0324, 0.0241, 0.038, 0.0047,
0.7745, 0, 0.1547, 0.0093, 0.021, 0.0182, 0.0579, 0.0254,
0.0119, 0.0445, 0.0413, 0.6158, 0, 0.1152, 0.4338, 0.0625,
0.0252, 0.0137, 0.066, 0.0102, 0.0084, 0.0204, 0.2446, 0,
0.0333, 0.3893, 0.2786, 0.0119, 0.0157, 0.0123, 0.042, 0.0096,
2e-04, 0.2071, 0, 0.0022, 0.056, 0.2683, 0.3146, 0.0395,
0.0281, 0.0239, 0.058, 0.0184, 0.191, 0, 0.0233, 0.0118,
0.135, 0.3021, 0.2437, 0.0148, 0.0082, 0.0148, 0.0315, 0.2148,
0, 0.032, 0.1145, 0.0528, 0.0632, 0.2336, 0.2284, 0.0301,
0.017, 0.0249, 0.2035, 0, 0.0846, 0.1692, 0.169, 0.1332,
0.0039, 0.0517, 0.1958, 0.0974, 0.0061, 0.0891, 0, 0.0044,
0.2359, 0.139, 0.1159, 0.1147, 0.009, 0.0508, 0.1471, 0.0985,
0.0847, 0, 0.0268, 0.1484, 0.4747, 0.0839, 0.0617, 0.0568,
0.0089, 0.0168, 0.0441, 0.0779, 0, 0.003, 0.6124, 0.14, 0.1274,
0.0342, 0.0227, 0.0111, 0.0049, 0.0086, 0.0357, 0, 0.0973,
0.0193, 0.504, 0.1519, 0.1496, 0.0167, 0.0184, 0.0131, 0.0023,
0.0274, 0, 0.033, 0.3778, 0.0435, 0.3041, 0.0765, 0.1062,
0.0151, 0.0126, 0.0075, 0.0237, 0, 0.0335, 0.8324, 0.0657,
0.0043, 0.0368, 0.0069, 0.0155, 0.0014, 7e-04, 0.0028, 0,
0.0045, 0.103, 0.7913, 0.0421, 0.0022, 0.0309, 0.0049, 0.0156,
0.0011, 0.0044, 0, 0.0044, 0.0694, 0.1921, 0.6913, 0.0137,
0.0031, 0.015, 0.0031, 0.0035, 0.0044, 0, 0.0302, 0.0327,
0.0961, 0.1488, 0.6316, 0.0211, 0.0117, 0.0129, 0.005, 0.0099,
0, 0.0165, 0.1434, 0.0555, 0.0729, 0.1524, 0.5193, 0.0108,
0.0133, 0.0075, 0.0084, 0, 0.0127, 0.142, 0.3067, 0.0112,
0.0556, 0.0753, 0.349, 0.0208, 0.0063, 0.0204, 0, 0.0337,
0.0641, 0.2438, 0.2762, 0.0373, 0.0419, 0.0652, 0.2136, 0.008,
0.0162, 0, 0.0236, 0.2502, 0.0796, 0.1479, 0.1828, 0.0075,
0.0349, 0.0849, 0.1626, 0.026, 0, 0.0234, 0.093, 0.2719,
0.0592, 0.1702, 0.1054, 0.0176, 0.0204, 0.0746, 0.1643),
Fit = c(3.31e-05, 0.00207897, 0.0228609, 0.110127, 0.0378143,
0.0246095, 0.0283827, 0.042467, 0.0150256, 0.0172964,
0.699304, 0.000695684, 0.00304506, 0.0263346, 0.0391203,
0.105132, 0.0360991, 0.0234932, 0.0270953, 0.0405407,
0.014344, 0.6841, 0.000945006, 0.0554818, 0.0335681,
0.0408719, 0.035055, 0.0942068, 0.0323477, 0.0210518,
0.0242795, 0.0363277, 0.625865, 0.00016946, 0.0469982,
0.382448, 0.0335336, 0.024112, 0.0206804, 0.0555765,
0.0190832, 0.0124193, 0.0143235, 0.390656, 2.58e-05,
0.00811685, 0.311664, 0.363207, 0.0186361, 0.0134001,
0.0114929, 0.0308861, 0.0106053, 0.00690193, 0.225064,
0.000184507, 0.00174176, 0.0758156, 0.408616, 0.274272,
0.0140728, 0.0101189, 0.00867877, 0.0233233, 0.0080085,
0.175168, 0.000192145, 0.0147169, 0.0192264, 0.119328,
0.375067, 0.251753, 0.0129174, 0.00928809, 0.00796619,
0.0214083, 0.168137, 0.000207369, 0.0136932, 0.145338,
0.0274586, 0.10048, 0.315824, 0.211987, 0.010877, 0.00782099,
0.00670789, 0.159606, 0.000260869, 0.0376612, 0.147312,
0.18328, 0.148895, 0.015761, 0.0576746, 0.18128, 0.121679,
0.00624331, 0.0999529, 0.000702855, 0.0165143, 0.327069,
0.165365, 0.110303, 0.0896091, 0.00948541, 0.0347101,
0.109099, 0.0732298, 0.0639122, 5.82e-05, 0.0549743,
0.175461, 0.396505, 0.0940672, 0.0627453, 0.0509737,
0.00539574, 0.0197447, 0.0620609, 0.0780133, 0.00041937,
0.00342946, 0.442202, 0.172103, 0.196755, 0.0466781,
0.0311356, 0.0252943, 0.00267748, 0.00979778, 0.0695082,
0.00775027, 0.0351797, 0.0390899, 0.577201, 0.105875,
0.121039, 0.0287155, 0.019154, 0.0155606, 0.00164714,
0.0487881, 0.00119796, 0.369238, 0.228862, 0.0310599,
0.232421, 0.0426324, 0.0487388, 0.0115628, 0.00771272,
0.00626576, 0.0203089, 0.000134836, 0.0199431, 0.844746,
0.0690862, 0.00512287, 0.0383344, 0.00703157, 0.00803874,
0.00190712, 0.0012721, 0.00438311, 3.72e-05, 0.00640331,
0.131033, 0.78906, 0.0375476, 0.00278423, 0.0208343,
0.00382158, 0.00436896, 0.0010365, 0.00307355, 0.000341059,
0.00266114, 0.0635116, 0.190002, 0.680157, 0.0323655,
0.00239996, 0.0179588, 0.00329414, 0.00376597, 0.0035428,
0.000266903, 0.0263924, 0.0285252, 0.0980344, 0.172354,
0.616982, 0.0293592, 0.00217704, 0.0162907, 0.00298816,
0.00662991, 9.42e-05, 0.0174395, 0.238598, 0.0366805,
0.0733781, 0.129006, 0.461807, 0.0219752, 0.0016295,
0.0121935, 0.00719907, 0.000336386, 0.0062965, 0.160731,
0.301524, 0.0261895, 0.0523911, 0.0921085, 0.329724,
0.01569, 0.00116344, 0.0138461, 0.000158918, 0.0258745,
0.0667437, 0.232028, 0.244509, 0.0212374, 0.0424846,
0.0746919, 0.267377, 0.0127232, 0.0121714, 0.000292838,
0.0104723, 0.235626, 0.085339, 0.170914, 0.180108, 0.0156437,
0.0312946, 0.0550188, 0.196953, 0.0183377, 0.000214439,
0.021613, 0.106254, 0.316654, 0.0628784, 0.125931, 0.132705,
0.0115264, 0.023058, 0.0405382, 0.158628)), row.names = c(NA,
-253L), class = "data.frame")), call = quote(importCol(res.file = "~/r/library/scape/example/sbw.res",
Dev = TRUE, Survey = TRUE, CAc = TRUE)), class = "scape")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.