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changing/adding multiple columns in a mutaframe #3
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Can you add one column a time? like Anyway, there are no longer any errors now, but the newly assigned columns do not seem to be correct. library(plumbr) d <- as.mutaframe(mtcars) d[,c("x","y")] <- data.frame(x = rnorm(n=nrow(mtcars)), y = rnorm(n=nrow(mtcars))) d mpg cyl disp hp drat wt qsec vs am gear carb Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 x.x x.y x.x.1 x.y.1 Mazda RX4 0.020888842 -0.89769334 0.020888842 -0.89769334 Mazda RX4 Wag -0.200353543 0.67971517 -0.200353543 0.67971517 Datsun 710 -0.790155721 -0.39286331 -0.790155721 -0.39286331 Hornet 4 Drive -1.980220792 -0.20270167 -1.980220792 -0.20270167 Hornet Sportabout 0.217611403 1.08939438 0.217611403 1.08939438 Valiant -1.513812345 -0.91081681 -1.513812345 -0.91081681 Duster 360 0.607473240 -0.73167958 0.607473240 -0.73167958 Merc 240D 0.039918239 -1.03259164 0.039918239 -1.03259164 Merc 230 -0.272684775 -0.64438659 -0.272684775 -0.64438659 Merc 280 2.224589052 0.75814467 2.224589052 0.75814467 Merc 280C -0.020230454 -1.16856881 -0.020230454 -1.16856881 Merc 450SE 0.586365423 -0.33575232 0.586365423 -0.33575232 Merc 450SL 0.601577283 -1.17856595 0.601577283 -1.17856595 Merc 450SLC -1.093664886 -0.39112892 -1.093664886 -0.39112892 Cadillac Fleetwood 0.153890462 -0.52404403 0.153890462 -0.52404403 Lincoln Continental 0.668561834 0.16461013 0.668561834 0.16461013 Chrysler Imperial -0.424900024 -1.32346485 -0.424900024 -1.32346485 Fiat 128 0.491634108 -0.44260684 0.491634108 -0.44260684 Honda Civic 0.241110784 0.75465326 0.241110784 0.75465326 Toyota Corolla -0.647324670 0.51881318 -0.647324670 0.51881318 Toyota Corona 1.173180166 -0.45218271 1.173180166 -0.45218271 Dodge Challenger 0.890550844 0.56889799 0.890550844 0.56889799 AMC Javelin -1.366081238 0.01151770 -1.366081238 0.01151770 Camaro Z28 0.635376862 -1.15655622 0.635376862 -1.15655622 Pontiac Firebird -0.060745543 0.14983542 -0.060745543 0.14983542 Fiat X1-9 -0.452671456 1.50543152 -0.452671456 1.50543152 Porsche 914-2 0.003285931 -0.04949629 0.003285931 -0.04949629 Lotus Europa 0.062253202 0.20735624 0.062253202 0.20735624 Ford Pantera L 1.498036111 -1.14872101 1.498036111 -1.14872101 Ferrari Dino 0.457778080 0.23348505 0.457778080 0.23348505 Maserati Bora -0.064371667 0.74800607 -0.064371667 0.74800607 Volvo 142E -1.405466387 1.18046981 -1.405466387 1.18046981 x.x.2 x.y.2 x.x.3 x.y.3 Mazda RX4 0.020888842 -0.89769334 0.020888842 -0.89769334 Mazda RX4 Wag -0.200353543 0.67971517 -0.200353543 0.67971517 Datsun 710 -0.790155721 -0.39286331 -0.790155721 -0.39286331 Hornet 4 Drive -1.980220792 -0.20270167 -1.980220792 -0.20270167 Hornet Sportabout 0.217611403 1.08939438 0.217611403 1.08939438 Valiant -1.513812345 -0.91081681 -1.513812345 -0.91081681 Duster 360 0.607473240 -0.73167958 0.607473240 -0.73167958 Merc 240D 0.039918239 -1.03259164 0.039918239 -1.03259164 Merc 230 -0.272684775 -0.64438659 -0.272684775 -0.64438659 Merc 280 2.224589052 0.75814467 2.224589052 0.75814467 Merc 280C -0.020230454 -1.16856881 -0.020230454 -1.16856881 Merc 450SE 0.586365423 -0.33575232 0.586365423 -0.33575232 Merc 450SL 0.601577283 -1.17856595 0.601577283 -1.17856595 Merc 450SLC -1.093664886 -0.39112892 -1.093664886 -0.39112892 Cadillac Fleetwood 0.153890462 -0.52404403 0.153890462 -0.52404403 Lincoln Continental 0.668561834 0.16461013 0.668561834 0.16461013 Chrysler Imperial -0.424900024 -1.32346485 -0.424900024 -1.32346485 Fiat 128 0.491634108 -0.44260684 0.491634108 -0.44260684 Honda Civic 0.241110784 0.75465326 0.241110784 0.75465326 Toyota Corolla -0.647324670 0.51881318 -0.647324670 0.51881318 Toyota Corona 1.173180166 -0.45218271 1.173180166 -0.45218271 Dodge Challenger 0.890550844 0.56889799 0.890550844 0.56889799 AMC Javelin -1.366081238 0.01151770 -1.366081238 0.01151770 Camaro Z28 0.635376862 -1.15655622 0.635376862 -1.15655622 Pontiac Firebird -0.060745543 0.14983542 -0.060745543 0.14983542 Fiat X1-9 -0.452671456 1.50543152 -0.452671456 1.50543152 Porsche 914-2 0.003285931 -0.04949629 0.003285931 -0.04949629 Lotus Europa 0.062253202 0.20735624 0.062253202 0.20735624 Ford Pantera L 1.498036111 -1.14872101 1.498036111 -1.14872101 Ferrari Dino 0.457778080 0.23348505 0.457778080 0.23348505 Maserati Bora -0.064371667 0.74800607 -0.064371667 0.74800607 Volvo 142E -1.405466387 1.18046981 -1.405466387 1.18046981 x.x.4 x.y.4 x.x.5 x.y.5 Mazda RX4 0.020888842 -0.89769334 0.020888842 -0.89769334 |
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Each one of the following commands works with a data.frae, but not with a mutaframe - ... could we change this?
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