src/library/datasets/data/beavers.R

beaver1 <-
data.frame(day = c(346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346, 346,
346, 346, 346, 346, 346, 347, 347, 347, 347, 347, 347, 347, 347,
347, 347, 347, 347, 347, 347, 347, 347, 347, 347, 347, 347, 347,
347, 347), time = c(840, 850, 900, 910, 920, 930, 940, 950, 1000,
1010, 1020, 1030, 1040, 1050, 1100, 1110, 1120, 1130, 1140, 1150,
1200, 1210, 1220, 1230, 1240, 1250, 1300, 1310, 1320, 1330, 1340,
1350, 1400, 1410, 1420, 1430, 1440, 1450, 1500, 1510, 1520, 1530,
1540, 1550, 1600, 1610, 1620, 1630, 1640, 1650, 1700, 1710, 1720,
1730, 1740, 1750, 1800, 1810, 1820, 1830, 1840, 1850, 1900, 1910,
1920, 1930, 1940, 1950, 2000, 2010, 2020, 2030, 2040, 2050, 2100,
2110, 2120, 2130, 2140, 2150, 2200, 2210, 2230, 2240, 2250, 2300,
2310, 2320, 2330, 2340, 2350, 0, 10, 20, 30, 40, 50, 100, 110,
120, 130, 140, 150, 200, 210, 220, 230, 240, 250, 300, 310, 320,
330, 340), temp = c(36.33, 36.34, 36.35, 36.42, 36.55, 36.69,
36.71, 36.75, 36.81, 36.88, 36.89, 36.91, 36.85, 36.89, 36.89,
36.67, 36.5, 36.74, 36.77, 36.76, 36.78, 36.82, 36.89, 36.99,
36.92, 36.99, 36.89, 36.94, 36.92, 36.97, 36.91, 36.79, 36.77,
36.69, 36.62, 36.54, 36.55, 36.67, 36.69, 36.62, 36.64, 36.59,
36.65, 36.75, 36.8, 36.81, 36.87, 36.87, 36.89, 36.94, 36.98,
36.95, 37, 37.07, 37.05, 37, 36.95, 37, 36.94, 36.88, 36.93,
36.98, 36.97, 36.85, 36.92, 36.99, 37.01, 37.1, 37.09, 37.02,
36.96, 36.84, 36.87, 36.85, 36.85, 36.87, 36.89, 36.86, 36.91,
37.53, 37.23, 37.2, 37.25, 37.2, 37.21, 37.24, 37.1, 37.2, 37.18,
36.93, 36.83, 36.93, 36.83, 36.8, 36.75, 36.71, 36.73, 36.75,
36.72, 36.76, 36.7, 36.82, 36.88, 36.94, 36.79, 36.78, 36.8,
36.82, 36.84, 36.86, 36.88, 36.93, 36.97, 37.15), activ = c(0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1))

beaver2 <-
    data.frame(day = c(307, 307, 307, 307, 307, 307, 307, 307,
307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307,
307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307,
307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307,
307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307,
307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307,
307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307, 307,
307, 308, 308, 308, 308, 308, 308, 308, 308, 308, 308, 308, 308,
308), time = c(930, 940, 950, 1000, 1010, 1020, 1030, 1040, 1050,
1100, 1110, 1120, 1130, 1140, 1150, 1200, 1210, 1220, 1230, 1240,
1250, 1300, 1310, 1320, 1330, 1340, 1350, 1400, 1410, 1420, 1430,
1440, 1450, 1500, 1510, 1520, 1530, 1540, 1550, 1600, 1610, 1620,
1630, 1640, 1650, 1700, 1710, 1720, 1730, 1740, 1750, 1800, 1810,
1820, 1830, 1840, 1850, 1900, 1910, 1920, 1930, 1940, 1950, 2000,
2010, 2020, 2030, 2040, 2050, 2100, 2110, 2120, 2130, 2140, 2150,
2200, 2210, 2220, 2230, 2240, 2250, 2300, 2310, 2320, 2330, 2340,
2350, 0, 10, 20, 30, 40, 50, 100, 110, 120, 130, 140, 150, 200
), temp = c(36.58, 36.73, 36.93, 37.15, 37.23, 37.24, 37.24,
36.9, 36.95, 36.89, 36.95, 37, 36.9, 36.99, 36.99, 37.01, 37.04,
37.04, 37.14, 37.07, 36.98, 37.01, 36.97, 36.97, 37.12, 37.13,
37.14, 37.15, 37.17, 37.12, 37.12, 37.17, 37.28, 37.28, 37.44,
37.51, 37.64, 37.51, 37.98, 38.02, 38, 38.24, 38.1, 38.24, 38.11,
38.02, 38.11, 38.01, 37.91, 37.96, 38.03, 38.17, 38.19, 38.18,
38.15, 38.04, 37.96, 37.84, 37.83, 37.84, 37.74, 37.76, 37.76,
37.64, 37.63, 38.06, 38.19, 38.35, 38.25, 37.86, 37.95, 37.95,
37.76, 37.6, 37.89, 37.86, 37.71, 37.78, 37.82, 37.76, 37.81,
37.84, 38.01, 38.1, 38.15, 37.92, 37.64, 37.7, 37.46, 37.41,
37.46, 37.56, 37.55, 37.75, 37.76, 37.73, 37.77, 38.01, 38.04,
38.07), activ = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1))