print method for MAgPIE objects for conventient display of magpie data.
Usage
# S3 method for class 'magpie'
print(x, drop = TRUE, reshape = FALSE, ...)Arguments
- x
MAgPIE object
- drop
argument which controls whether empty dimensions should be skipped or not.
- reshape
argument that controls tabular representation of nested data dimension cross tables, FALSE will reproduce standard print behavior any pair of two dimension numbers will create a table for these two dims, and loop over the other dimensions
- ...
arguments to be passed to or from other methods.
See also
Other Display:
head.magpie(),
maxample(),
mplot(),
show-methods,
str.magpie()
Examples
pop <- maxample("pop")
print(pop)
#> , , scenario = A2
#>
#> t
#> i y1995 y2005 y2015 y2025 y2035 y2045 y2055
#> AFR 552.6664 696.44 889.18 1124.11 1389.33 1659.73 1924.19
#> CPA 1280.6350 1429.53 1518.46 1592.09 1640.95 1671.94 1691.24
#> EUR 554.4384 582.36 593.76 605.27 614.58 618.97 619.37
#> FSU 276.3431 295.38 302.62 308.59 313.30 315.72 317.36
#> LAM 451.9981 558.29 646.02 733.13 812.69 880.98 939.44
#> MEA 277.7437 390.18 489.22 596.13 698.33 790.61 871.83
#> NAM 292.1132 326.09 353.25 382.53 409.44 431.12 448.70
#> PAO 133.7772 152.00 155.27 157.35 158.81 159.70 160.45
#> PAS 383.2277 534.73 604.94 668.49 723.13 767.30 798.68
#> SAS 1269.9243 1505.02 1796.76 2095.48 2369.60 2600.68 2783.75
#> t
#> i y2065 y2075 y2085 y2095 y2105 y2115 y2125 y2135
#> AFR 2172.30 2387.96 2560.32 2671.07 2708.86 2708.86 2708.86 2708.86
#> CPA 1719.25 1765.77 1832.31 1918.47 1965.05 1965.05 1965.05 1965.05
#> EUR 618.74 622.03 630.52 642.20 648.98 648.98 648.98 648.98
#> FSU 319.61 322.30 327.08 332.39 334.66 334.66 334.66 334.66
#> LAM 989.54 1035.25 1079.39 1117.61 1134.64 1134.64 1134.64 1134.64
#> MEA 942.81 1002.56 1052.19 1088.94 1103.31 1103.31 1103.31 1103.31
#> NAM 465.22 481.39 494.88 505.93 511.41 511.41 511.41 511.41
#> PAO 160.95 161.47 163.53 166.31 167.49 167.49 167.49 167.49
#> PAS 819.21 834.31 844.38 843.52 839.53 839.53 839.53 839.53
#> SAS 2920.70 3006.60 3040.10 3007.86 2972.39 2972.39 2972.39 2972.39
#> t
#> i y2145
#> AFR 2708.86
#> CPA 1965.05
#> EUR 648.98
#> FSU 334.66
#> LAM 1134.64
#> MEA 1103.31
#> NAM 511.41
#> PAO 167.49
#> PAS 839.53
#> SAS 2972.39
#>
#> , , scenario = B1
#>
#> t
#> i y1995 y2005 y2015 y2025 y2035 y2045 y2055
#> AFR 552.6664 721.85 932.04 1118.33 1267.33 1383.24 1469.16
#> CPA 1280.6350 1429.26 1499.74 1531.12 1518.73 1463.68 1370.97
#> EUR 554.4384 587.21 603.63 613.98 619.48 617.12 606.77
#> FSU 276.3431 296.84 305.26 309.78 311.47 309.03 301.99
#> LAM 451.9981 552.79 623.20 681.60 723.44 747.70 753.98
#> MEA 277.7437 398.92 502.51 598.73 682.80 754.14 811.59
#> NAM 292.1132 325.04 349.85 376.11 399.68 418.70 434.27
#> PAO 133.7772 153.07 157.37 159.07 159.51 158.10 155.21
#> PAS 383.2277 530.67 590.42 639.68 674.98 692.45 689.79
#> SAS 1269.9243 1475.64 1687.80 1870.96 1999.15 2072.68 2090.96
#> t
#> i y2065 y2075 y2085 y2095 y2105 y2115 y2125 y2135
#> AFR 1510.27 1505.16 1454.54 1361.24 1304.59 1304.59 1304.59 1304.59
#> CPA 1257.23 1139.25 1021.52 904.61 846.50 846.50 846.50 846.50
#> EUR 592.52 579.18 567.73 554.61 547.06 547.06 547.06 547.06
#> FSU 292.46 281.39 269.77 257.52 251.04 251.04 251.04 251.04
#> LAM 743.05 718.79 683.68 637.69 611.88 611.88 611.88 611.88
#> MEA 849.11 865.89 861.01 831.23 809.60 809.60 809.60 809.60
#> NAM 449.98 468.05 486.99 503.86 511.44 511.44 511.44 511.44
#> PAO 151.86 148.08 144.47 140.82 138.80 138.80 138.80 138.80
#> PAS 668.98 634.64 590.05 536.24 507.06 507.06 507.06 507.06
#> SAS 2049.18 1953.77 1811.83 1629.07 1528.15 1528.15 1528.15 1528.15
#> t
#> i y2145
#> AFR 1304.59
#> CPA 846.50
#> EUR 547.06
#> FSU 251.04
#> LAM 611.88
#> MEA 809.60
#> NAM 511.44
#> PAO 138.80
#> PAS 507.06
#> SAS 1528.15
#>
print(pop[, 1, ], drop = FALSE)
#> , , scenario = A2
#>
#> t
#> i y1995
#> AFR 552.6664
#> CPA 1280.6350
#> EUR 554.4384
#> FSU 276.3431
#> LAM 451.9981
#> MEA 277.7437
#> NAM 292.1132
#> PAO 133.7772
#> PAS 383.2277
#> SAS 1269.9243
#>
#> , , scenario = B1
#>
#> t
#> i y1995
#> AFR 552.6664
#> CPA 1280.6350
#> EUR 554.4384
#> FSU 276.3431
#> LAM 451.9981
#> MEA 277.7437
#> NAM 292.1132
#> PAO 133.7772
#> PAS 383.2277
#> SAS 1269.9243
#>
print(pop[, 1, ])
#> scenario
#> i A2 B1
#> AFR 552.6664 552.6664
#> CPA 1280.6350 1280.6350
#> EUR 554.4384 554.4384
#> FSU 276.3431 276.3431
#> LAM 451.9981 451.9981
#> MEA 277.7437 277.7437
#> NAM 292.1132 292.1132
#> PAO 133.7772 133.7772
#> PAS 383.2277 383.2277
#> SAS 1269.9243 1269.9243