| Line 1... |
Line 1... |
| 1 |
"LifeCycleSavings" <-
|
1 |
LifeCycleSavings <-
|
| 2 |
structure(list(sr = c(11.43, 12.07, 13.17, 5.75, 12.88, 8.79, 0.6, 11.9,
|
2 |
data.frame(sr = c(11.43, 12.07, 13.17, 5.75, 12.88, 8.79, 0.6, 11.9, 4.98,
|
| 3 |
4.98, 10.78, 16.85, 3.59, 11.24, 12.64, 12.55, 10.67, 3.01, 7.7, 1.27,
|
3 |
10.78, 16.85, 3.59, 11.24, 12.64, 12.55, 10.67, 3.01, 7.7,
|
| - |
|
4 |
1.27, 9, 11.34, 14.28, 21.1, 3.98, 10.35,
|
| 4 |
9, 11.34, 14.28, 21.1, 3.98, 10.35, 15.48, 10.25, 14.65, 10.67, 7.3, 4.44,
|
5 |
15.48, 10.25, 14.65, 10.67, 7.3, 4.44, 2.02, 12.7, 12.78, 12.49,
|
| 5 |
2.02, 12.7, 12.78, 12.49, 11.14, 13.3, 11.77, 6.86, 14.13, 5.13, 2.81,
|
6 |
11.14, 13.3, 11.77, 6.86, 14.13, 5.13, 2.81, 7.81, 7.56, 9.22,
|
| 6 |
7.81, 7.56, 9.22, 18.56, 7.72, 9.24, 8.89, 4.71), pop15 = c(29.35, 23.32,
|
7 |
18.56, 7.72, 9.24, 8.89, 4.71),
|
| - |
|
8 |
pop15 = c(29.35, 23.32,
|
| 7 |
23.8, 41.89, 42.19, 31.72, 39.74, 44.75, 46.64, 47.64, 24.42, 46.31, 27.84,
|
9 |
23.8, 41.89, 42.19, 31.72, 39.74, 44.75, 46.64, 47.64, 24.42, 46.31, 27.84,
|
| 8 |
25.06, 23.31, 25.62, 46.05, 47.32, 34.03, 41.31, 31.16, 24.52, 27.01, 41.74,
|
10 |
25.06, 23.31, 25.62, 46.05, 47.32, 34.03, 41.31, 31.16, 24.52, 27.01, 41.74,
|
| 9 |
21.8, 32.54, 25.95, 24.71, 32.61, 45.04, 43.56, 41.18, 44.19, 46.26, 28.96,
|
11 |
21.8, 32.54, 25.95, 24.71, 32.61, 45.04, 43.56, 41.18, 44.19, 46.26, 28.96,
|
| 10 |
31.94, 31.92, 27.74, 21.44, 23.49, 43.42, 46.12, 23.27, 29.81, 46.4, 45.25,
|
12 |
31.94, 31.92, 27.74, 21.44, 23.49, 43.42, 46.12, 23.27, 29.81, 46.4, 45.25,
|
| - |
|
13 |
41.12, 28.13, 43.69, 47.2),
|
| 11 |
41.12, 28.13, 43.69, 47.2), pop75 = c(2.87, 4.41, 4.43, 1.67, 0.83, 2.85,
|
14 |
pop75 = c(2.87, 4.41, 4.43, 1.67, 0.83, 2.85,
|
| 12 |
1.34, 0.67, 1.06, 1.14, 3.93, 1.19, 2.37, 4.7, 3.35, 3.1, 0.87, 0.58, 3.08,
|
15 |
1.34, 0.67, 1.06, 1.14, 3.93, 1.19, 2.37, 4.7, 3.35, 3.1, 0.87, 0.58, 3.08,
|
| 13 |
0.96, 4.19, 3.48, 1.91, 0.91, 3.73, 2.47, 3.67, 3.25, 3.17, 1.21, 1.2,
|
16 |
0.96, 4.19, 3.48, 1.91, 0.91, 3.73, 2.47, 3.67, 3.25, 3.17, 1.21, 1.2,
|
| 14 |
1.05, 1.28, 1.12, 2.85, 2.28, 1.52, 2.87, 4.54, 3.73, 1.08, 1.21, 4.46,
|
17 |
1.05, 1.28, 1.12, 2.85, 2.28, 1.52, 2.87, 4.54, 3.73, 1.08, 1.21, 4.46,
|
| - |
|
18 |
3.43, 0.9, 0.56, 1.73, 2.72, 2.07, 0.66),
|
| 15 |
3.43, 0.9, 0.56, 1.73, 2.72, 2.07, 0.66), dpi = c(2329.68, 1507.99, 2108.47,
|
19 |
dpi = c(2329.68, 1507.99, 2108.47,
|
| 16 |
189.13, 728.47, 2982.88, 662.86, 289.52, 276.65, 471.24, 2496.53, 287.77,
|
20 |
189.13, 728.47, 2982.88, 662.86, 289.52, 276.65, 471.24, 2496.53, 287.77,
|
| 17 |
1681.25, 2213.82, 2457.12, 870.85, 289.71, 232.44, 1900.1, 88.94, 1139.95,
|
21 |
1681.25, 2213.82, 2457.12, 870.85, 289.71, 232.44, 1900.1, 88.94, 1139.95,
|
| 18 |
1390, 1257.28, 207.68, 2449.39, 601.05, 2231.03, 1740.7, 1487.52, 325.54,
|
22 |
1390, 1257.28, 207.68, 2449.39, 601.05, 2231.03, 1740.7, 1487.52, 325.54,
|
| 19 |
568.56, 220.56, 400.06, 152.01, 579.51, 651.11, 250.96, 768.79, 3299.49,
|
23 |
568.56, 220.56, 400.06, 152.01, 579.51, 651.11, 250.96, 768.79, 3299.49,
|
| 20 |
2630.96, 389.66, 249.87, 1813.93, 4001.89, 813.39, 138.33, 380.47, 766.54,
|
24 |
2630.96, 389.66, 249.87, 1813.93, 4001.89, 813.39, 138.33, 380.47, 766.54,
|
| 21 |
123.58, 242.69), ddpi = c(2.87, 3.93, 3.82, 0.22, 4.56, 2.43, 2.67, 6.51,
|
25 |
123.58, 242.69), ddpi = c(2.87, 3.93, 3.82, 0.22, 4.56, 2.43, 2.67, 6.51,
|
| 22 |
3.08, 2.8, 3.99, 2.19, 4.32, 4.52, 3.44, 6.28, 1.48, 3.19, 1.12, 1.54,
|
26 |
3.08, 2.8, 3.99, 2.19, 4.32, 4.52, 3.44, 6.28, 1.48, 3.19, 1.12, 1.54,
|
| 23 |
2.99, 3.54, 8.21, 5.81, 1.57, 8.12, 3.62, 7.66, 1.76, 2.48, 3.61, 1.03,
|
27 |
2.99, 3.54, 8.21, 5.81, 1.57, 8.12, 3.62, 7.66, 1.76, 2.48, 3.61, 1.03,
|
| 24 |
0.67, 2, 7.48, 2.19, 2, 4.35, 3.01, 2.7, 2.96, 1.13, 2.01, 2.45, 0.53,
|
28 |
0.67, 2, 7.48, 2.19, 2, 4.35, 3.01, 2.7, 2.96, 1.13, 2.01, 2.45, 0.53,
|
| - |
|
29 |
5.14, 10.23, 1.88, 16.71, 5.08),
|
| 25 |
5.14, 10.23, 1.88, 16.71, 5.08)), row.names = c("Australia", "Austria",
|
30 |
row.names = c("Australia", "Austria",
|
| 26 |
"Belgium", "Bolivia", "Brazil", "Canada", "Chile", "China", "Colombia",
|
31 |
"Belgium", "Bolivia", "Brazil", "Canada", "Chile", "China", "Colombia",
|
| 27 |
"Costa Rica", "Denmark", "Ecuador", "Finland", "France", "Germany", "Greece",
|
32 |
"Costa Rica", "Denmark", "Ecuador", "Finland", "France", "Germany", "Greece",
|
| 28 |
"Guatamala", "Honduras", "Iceland", "India", "Ireland", "Italy", "Japan",
|
33 |
"Guatamala", "Honduras", "Iceland", "India", "Ireland", "Italy", "Japan",
|
| 29 |
"Korea", "Luxembourg", "Malta", "Norway", "Netherlands", "New Zealand",
|
34 |
"Korea", "Luxembourg", "Malta", "Norway", "Netherlands", "New Zealand",
|
| 30 |
"Nicaragua", "Panama", "Paraguay", "Peru", "Philippines", "Portugal",
|
35 |
"Nicaragua", "Panama", "Paraguay", "Peru", "Philippines", "Portugal",
|
| 31 |
"South Africa", "South Rhodesia", "Spain", "Sweden", "Switzerland",
|
36 |
"South Africa", "South Rhodesia", "Spain", "Sweden", "Switzerland",
|
| 32 |
"Turkey", "Tunisia", "United Kingdom", "United States", "Venezuela",
|
37 |
"Turkey", "Tunisia", "United Kingdom", "United States", "Venezuela",
|
| 33 |
"Zambia", "Jamaica", "Uruguay", "Libya", "Malaysia"), class = "data.frame")
|
38 |
"Zambia", "Jamaica", "Uruguay", "Libya", "Malaysia"))
|
The R Project SVN
R