** Hi Dr, I tried to create word file so that i can add table to write metadata but i wasn’t being able to convert it. So i had to submit it without metadata.**
library(memisc)
## Loading required package: lattice
## Loading required package: MASS
##
## Attaching package: 'memisc'
## The following objects are masked from 'package:stats':
##
## contr.sum, contr.treatment, contrasts
## The following object is masked from 'package:base':
##
## as.array
library(CARS)
X <- matrix(rnorm(1000),ncol=5,nrow=200);
Y <- matrix(rep(c(0,3),c(800,200))+rnorm(1000),ncol=5,nrow=200);
CARS(X,Y,0.05,tau=0.9,option='regular');
## $de
## [1] 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0
## [38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0
## [75] 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
## [112] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0
## [149] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
## [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
##
## $cars
## [1] 1.352655e-01 3.319179e-01 1.336362e-01 1.107664e-01 5.277766e-01
## [6] 1.000000e+00 1.000000e+00 1.000000e+00 2.255694e-01 3.934196e-02
## [11] 1.508517e-01 2.721629e-01 6.400067e-01 4.563015e-02 1.659029e-05
## [16] 5.998894e-01 4.346789e-01 6.498833e-01 7.167701e-01 4.071994e-01
## [21] 6.916478e-01 2.215828e-02 6.064785e-01 3.818708e-01 8.853832e-01
## [26] 9.367710e-01 3.455400e-02 3.690103e-01 1.758096e-01 2.488890e-01
## [31] 3.131249e-01 3.436598e-03 9.157643e-01 6.859062e-02 1.339288e-01
## [36] 1.000000e+00 9.890525e-01 1.559308e-01 1.478711e-01 4.688656e-01
## [41] 4.245748e-01 1.007829e-01 2.406733e-01 5.559570e-01 6.035428e-01
## [46] 5.635291e-01 2.691461e-01 3.603743e-01 4.269006e-01 1.036455e-01
## [51] 1.579615e-01 8.556840e-01 4.186258e-01 2.826079e-01 5.308882e-01
## [56] 4.145874e-02 1.961278e-01 9.293450e-02 1.569777e-01 6.104509e-01
## [61] 2.899469e-01 2.466920e-01 9.335976e-02 9.673280e-05 1.374753e-01
## [66] 5.091462e-01 2.077653e-01 1.364790e-01 3.129898e-01 7.839191e-02
## [71] 4.190796e-01 2.334174e-01 1.501835e-01 5.827316e-01 9.048417e-01
## [76] 6.074882e-01 2.789756e-01 3.259742e-01 1.532336e-01 4.163738e-01
## [81] 2.893703e-01 1.296395e-01 4.125631e-02 3.768088e-01 3.307326e-01
## [86] 2.241874e-01 1.431081e-01 8.176690e-02 4.694656e-01 9.008122e-02
## [91] 3.313708e-01 8.716028e-02 7.394923e-02 3.465487e-01 1.694917e-01
## [96] 2.281295e-01 2.035568e-01 1.433849e-01 1.456659e-01 6.580903e-01
## [101] 6.114286e-01 4.702670e-01 5.168024e-02 3.289280e-01 9.321418e-01
## [106] 5.414286e-01 1.513110e-01 1.263933e-01 3.970545e-01 1.620992e-01
## [111] 4.717509e-01 1.569516e-01 6.639917e-02 4.652471e-01 1.828427e-01
## [116] 4.707482e-01 1.901825e-01 5.901728e-01 1.899179e-01 1.220438e-01
## [121] 2.972659e-01 1.554147e-01 5.316228e-01 8.846028e-01 5.316208e-01
## [126] 2.077462e-02 8.006554e-02 3.116027e-01 1.804525e-01 5.233749e-01
## [131] 9.447206e-02 1.605039e-01 5.267792e-01 2.266657e-01 1.470152e-01
## [136] 5.555230e-01 1.717592e-01 3.788323e-01 5.769398e-01 9.745685e-04
## [141] 4.212608e-01 1.066574e-01 2.351024e-01 1.792216e-01 7.519988e-01
## [146] 7.736461e-02 1.428510e-01 1.325623e-01 5.313650e-01 4.112317e-01
## [151] 5.504068e-01 1.000000e+00 3.169986e-01 4.036148e-01 6.081635e-01
## [156] 1.329249e-01 7.816425e-01 7.392385e-01 3.079532e-01 1.476843e-01
## [161] 4.563718e-02 6.176647e-01 3.791406e-01 4.453360e-01 4.098423e-04
## [166] 5.481439e-02 5.749216e-01 7.935821e-01 4.813590e-01 1.095202e-01
## [171] 3.321831e-01 5.181718e-01 5.203661e-01 1.796031e-01 5.935164e-01
## [176] 4.582275e-01 9.674075e-01 3.016182e-01 7.914860e-01 5.497852e-01
## [181] 2.295189e-01 1.460707e-01 6.672593e-02 1.581983e-01 1.313846e-01
## [186] 4.556456e-01 1.273006e-01 6.767771e-01 2.000355e-01 2.012404e-01
## [191] 9.091565e-01 2.286660e-01 3.263188e-01 2.714664e-01 1.819725e-01
## [196] 7.315244e-01 9.723629e-02 3.668562e-01 3.474801e-01 6.157815e-01
##
## $th
## [1] 0.0929345
cars
codebook(cars)
## ================================================================================
##
## speed
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 4.000
## Max: 25.000
## Mean: 15.400
## Std.Dev.: 5.235
## Skewness: -0.114
## Kurtosis: -0.577
##
## ================================================================================
##
## dist
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 2.000
## Max: 120.000
## Mean: 42.980
## Std.Dev.: 25.510
## Skewness: 0.782
## Kurtosis: 0.248
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
class(cars)
## [1] "data.frame"
sapply(cars, class)
## speed dist
## "numeric" "numeric"
sapply(cars, min)
## speed dist
## 4 2
sapply(cars, max)
## speed dist
## 25 120
sapply(cars, range)
## speed dist
## [1,] 4 2
## [2,] 25 120
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
Cars93
codebook(Cars93)
## ================================================================================
##
## Manufacturer
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 32 levels
##
## Levels and labels N Valid
##
## 1 'Acura' 2 2.2
## 2 'Audi' 2 2.2
## 3 'BMW' 1 1.1
## 4 'Buick' 4 4.3
## 5 'Cadillac' 2 2.2
## 6 'Chevrolet' 8 8.6
## 7 'Chrylser' 1 1.1
## 8 'Chrysler' 2 2.2
## 9 'Dodge' 6 6.5
## 10 'Eagle' 2 2.2
## 11 'Ford' 8 8.6
## 12 'Geo' 2 2.2
## 13 'Honda' 3 3.2
## 14 'Hyundai' 4 4.3
## 15 'Infiniti' 1 1.1
## 16 'Lexus' 2 2.2
## 17 'Lincoln' 2 2.2
## 18 'Mazda' 5 5.4
## 19 'Mercedes-Benz' 2 2.2
## 20 'Mercury' 2 2.2
## 21 'Mitsubishi' 2 2.2
## 22 'Nissan' 4 4.3
## 23 'Oldsmobile' 4 4.3
## 24 'Plymouth' 1 1.1
## 25 'Pontiac' 5 5.4
## 26 'Saab' 1 1.1
## 27 'Saturn' 1 1.1
## 28 'Subaru' 3 3.2
## 29 'Suzuki' 1 1.1
## 30 'Toyota' 4 4.3
## 31 'Volkswagen' 4 4.3
## 32 'Volvo' 2 2.2
##
## ================================================================================
##
## Model
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 93 levels
##
## Levels and labels N Valid
##
## 1 '100' 1 1.1
## 2 '190E' 1 1.1
## 3 '240' 1 1.1
## 4 '300E' 1 1.1
## 5 '323' 1 1.1
## 6 '535i' 1 1.1
## 7 '626' 1 1.1
## 8 '850' 1 1.1
## 9 '90' 1 1.1
## 10 '900' 1 1.1
## 11 'Accord' 1 1.1
## 12 'Achieva' 1 1.1
## 13 'Aerostar' 1 1.1
## 14 'Altima' 1 1.1
## 15 'Astro' 1 1.1
## 16 'Bonneville' 1 1.1
## 17 'Camaro' 1 1.1
## 18 'Camry' 1 1.1
## 19 'Capri' 1 1.1
## 20 'Caprice' 1 1.1
## 21 'Caravan' 1 1.1
## 22 'Cavalier' 1 1.1
## 23 'Celica' 1 1.1
## 24 'Century' 1 1.1
## 25 'Civic' 1 1.1
## 26 'Colt' 1 1.1
## 27 'Concorde' 1 1.1
## 28 'Continental' 1 1.1
## 29 'Corrado' 1 1.1
## 30 'Corsica' 1 1.1
## 31 'Corvette' 1 1.1
## 32 'Cougar' 1 1.1
## 33 'Crown_Victoria' 1 1.1
## 34 'Cutlass_Ciera' 1 1.1
## 35 'DeVille' 1 1.1
## 36 'Diamante' 1 1.1
## 37 'Dynasty' 1 1.1
## 38 'ES300' 1 1.1
## 39 'Eighty-Eight' 1 1.1
## 40 'Elantra' 1 1.1
## 41 'Escort' 1 1.1
## 42 'Eurovan' 1 1.1
## 43 'Excel' 1 1.1
## 44 'Festiva' 1 1.1
## 45 'Firebird' 1 1.1
## 46 'Fox' 1 1.1
## 47 'Grand_Prix' 1 1.1
## 48 'Imperial' 1 1.1
## 49 'Integra' 1 1.1
## 50 'Justy' 1 1.1
## 51 'Laser' 1 1.1
## 52 'LeBaron' 1 1.1
## 53 'LeMans' 1 1.1
## 54 'LeSabre' 1 1.1
## 55 'Legacy' 1 1.1
## 56 'Legend' 1 1.1
## 57 'Loyale' 1 1.1
## 58 'Lumina' 1 1.1
## 59 'Lumina_APV' 1 1.1
## 60 'MPV' 1 1.1
## 61 'Maxima' 1 1.1
## 62 'Metro' 1 1.1
## 63 'Mirage' 1 1.1
## 64 'Mustang' 1 1.1
## 65 'Passat' 1 1.1
## 66 'Prelude' 1 1.1
## 67 'Previa' 1 1.1
## 68 'Probe' 1 1.1
## 69 'Protege' 1 1.1
## 70 'Q45' 1 1.1
## 71 'Quest' 1 1.1
## 72 'RX-7' 1 1.1
## 73 'Riviera' 1 1.1
## 74 'Roadmaster' 1 1.1
## 75 'SC300' 1 1.1
## 76 'SL' 1 1.1
## 77 'Scoupe' 1 1.1
## 78 'Sentra' 1 1.1
## 79 'Seville' 1 1.1
## 80 'Shadow' 1 1.1
## 81 'Silhouette' 1 1.1
## 82 'Sonata' 1 1.1
## 83 'Spirit' 1 1.1
## 84 'Stealth' 1 1.1
## 85 'Storm' 1 1.1
## 86 'Summit' 1 1.1
## 87 'Sunbird' 1 1.1
## 88 'Swift' 1 1.1
## 89 'Taurus' 1 1.1
## 90 'Tempo' 1 1.1
## 91 'Tercel' 1 1.1
## 92 'Town_Car' 1 1.1
## 93 'Vision' 1 1.1
##
## ================================================================================
##
## Type
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 6 levels
##
## Levels and labels N Valid
##
## 1 'Compact' 16 17.2
## 2 'Large' 11 11.8
## 3 'Midsize' 22 23.7
## 4 'Small' 21 22.6
## 5 'Sporty' 14 15.1
## 6 'Van' 9 9.7
##
## ================================================================================
##
## Min.Price
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 6.700
## Max: 45.400
## Mean: 17.126
## Std.Dev.: 8.699
## Skewness: 1.164
## Kurtosis: 0.902
##
## ================================================================================
##
## Price
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 7.400
## Max: 61.900
## Mean: 19.510
## Std.Dev.: 9.607
## Skewness: 1.508
## Kurtosis: 3.184
##
## ================================================================================
##
## Max.Price
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 7.900
## Max: 80.000
## Mean: 21.899
## Std.Dev.: 10.971
## Skewness: 2.001
## Kurtosis: 6.982
##
## ================================================================================
##
## MPG.city
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 15.000
## Max: 46.000
## Mean: 22.366
## Std.Dev.: 5.590
## Skewness: 1.677
## Kurtosis: 3.728
##
## ================================================================================
##
## MPG.highway
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 20.000
## Max: 50.000
## Mean: 29.086
## Std.Dev.: 5.303
## Skewness: 1.210
## Kurtosis: 2.412
##
## ================================================================================
##
## AirBags
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 3 levels
##
## Levels and labels N Valid
##
## 1 'Driver & Passenger' 16 17.2
## 2 'Driver only' 43 46.2
## 3 'None' 34 36.6
##
## ================================================================================
##
## DriveTrain
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 3 levels
##
## Levels and labels N Valid
##
## 1 '4WD' 10 10.8
## 2 'Front' 67 72.0
## 3 'Rear' 16 17.2
##
## ================================================================================
##
## Cylinders
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 6 levels
##
## Levels and labels N Valid
##
## 1 '3' 3 3.2
## 2 '4' 49 52.7
## 3 '5' 2 2.2
## 4 '6' 31 33.3
## 5 '8' 7 7.5
## 6 'rotary' 1 1.1
##
## ================================================================================
##
## EngineSize
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 1.000
## Max: 5.700
## Mean: 2.668
## Std.Dev.: 1.032
## Skewness: 0.845
## Kurtosis: 0.297
##
## ================================================================================
##
## Horsepower
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 55.000
## Max: 300.000
## Mean: 143.828
## Std.Dev.: 52.092
## Skewness: 0.936
## Kurtosis: 0.988
##
## ================================================================================
##
## RPM
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 3800.000
## Max: 6500.000
## Mean: 5280.645
## Std.Dev.: 593.515
## Skewness: -0.254
## Kurtosis: -0.452
##
## ================================================================================
##
## Rev.per.mile
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 1320.000
## Max: 3755.000
## Mean: 2332.204
## Std.Dev.: 493.830
## Skewness: 0.277
## Kurtosis: 0.145
##
## ================================================================================
##
## Man.trans.avail
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 2 levels
##
## Levels and labels N Valid
##
## 1 'No' 32 34.4
## 2 'Yes' 61 65.6
##
## ================================================================================
##
## Fuel.tank.capacity
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 9.200
## Max: 27.000
## Mean: 16.665
## Std.Dev.: 3.262
## Skewness: 0.106
## Kurtosis: 0.057
##
## ================================================================================
##
## Passengers
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 2.000
## Max: 8.000
## Mean: 5.086
## Std.Dev.: 1.033
## Skewness: 0.062
## Kurtosis: 0.823
##
## ================================================================================
##
## Length
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 141.000
## Max: 219.000
## Mean: 183.204
## Std.Dev.: 14.524
## Skewness: -0.089
## Kurtosis: 0.362
##
## ================================================================================
##
## Wheelbase
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 90.000
## Max: 119.000
## Mean: 103.946
## Std.Dev.: 6.783
## Skewness: 0.112
## Kurtosis: -0.819
##
## ================================================================================
##
## Width
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 60.000
## Max: 78.000
## Mean: 69.376
## Std.Dev.: 3.759
## Skewness: 0.260
## Kurtosis: -0.297
##
## ================================================================================
##
## Turn.circle
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 32.000
## Max: 45.000
## Mean: 38.957
## Std.Dev.: 3.206
## Skewness: -0.131
## Kurtosis: -0.757
##
## ================================================================================
##
## Rear.seat.room
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Valid and missing values N Percent
##
## Valid 91 97.8
## Missing (NA) 2 2.2
## Total 93
##
## Min: 19.000
## Max: 36.000
## Mean: 27.830
## Std.Dev.: 2.973
## Skewness: 0.077
## Kurtosis: 0.781
##
## ================================================================================
##
## Luggage.room
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Valid and missing values N Percent
##
## Valid 82 88.2
## Missing (NA) 11 11.8
## Total 93
##
## Min: 6.000
## Max: 22.000
## Mean: 13.890
## Std.Dev.: 2.980
## Skewness: 0.225
## Kurtosis: 0.444
##
## ================================================================================
##
## Weight
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
##
## Min: 1695.000
## Max: 4105.000
## Mean: 3072.903
## Std.Dev.: 586.716
## Skewness: -0.141
## Kurtosis: -0.874
##
## ================================================================================
##
## Origin
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 2 levels
##
## Levels and labels N Valid
##
## 1 'USA' 48 51.6
## 2 'non-USA' 45 48.4
##
## ================================================================================
##
## Make
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 93 levels
##
## Levels and labels N Valid
##
## 1 'Acura Integra' 1 1.1
## 2 'Acura Legend' 1 1.1
## 3 'Audi 100' 1 1.1
## 4 'Audi 90' 1 1.1
## 5 'BMW 535i' 1 1.1
## 6 'Buick Century' 1 1.1
## 7 'Buick LeSabre' 1 1.1
## 8 'Buick Riviera' 1 1.1
## 9 'Buick Roadmaster' 1 1.1
## 10 'Cadillac DeVille' 1 1.1
## 11 'Cadillac Seville' 1 1.1
## 12 'Chevrolet Astro' 1 1.1
## 13 'Chevrolet Camaro' 1 1.1
## 14 'Chevrolet Caprice' 1 1.1
## 15 'Chevrolet Cavalier' 1 1.1
## 16 'Chevrolet Corsica' 1 1.1
## 17 'Chevrolet Corvette' 1 1.1
## 18 'Chevrolet Lumina' 1 1.1
## 19 'Chevrolet Lumina_APV' 1 1.1
## 20 'Chrylser Concorde' 1 1.1
## 21 'Chrysler Imperial' 1 1.1
## 22 'Chrysler LeBaron' 1 1.1
## 23 'Dodge Caravan' 1 1.1
## 24 'Dodge Colt' 1 1.1
## 25 'Dodge Dynasty' 1 1.1
## 26 'Dodge Shadow' 1 1.1
## 27 'Dodge Spirit' 1 1.1
## 28 'Dodge Stealth' 1 1.1
## 29 'Eagle Summit' 1 1.1
## 30 'Eagle Vision' 1 1.1
## 31 'Ford Aerostar' 1 1.1
## 32 'Ford Crown_Victoria' 1 1.1
## 33 'Ford Escort' 1 1.1
## 34 'Ford Festiva' 1 1.1
## 35 'Ford Mustang' 1 1.1
## 36 'Ford Probe' 1 1.1
## 37 'Ford Taurus' 1 1.1
## 38 'Ford Tempo' 1 1.1
## 39 'Geo Metro' 1 1.1
## 40 'Geo Storm' 1 1.1
## 41 'Honda Accord' 1 1.1
## 42 'Honda Civic' 1 1.1
## 43 'Honda Prelude' 1 1.1
## 44 'Hyundai Elantra' 1 1.1
## 45 'Hyundai Excel' 1 1.1
## 46 'Hyundai Scoupe' 1 1.1
## 47 'Hyundai Sonata' 1 1.1
## 48 'Infiniti Q45' 1 1.1
## 49 'Lexus ES300' 1 1.1
## 50 'Lexus SC300' 1 1.1
## 51 'Lincoln Continental' 1 1.1
## 52 'Lincoln Town_Car' 1 1.1
## 53 'Mazda 323' 1 1.1
## 54 'Mazda 626' 1 1.1
## 55 'Mazda MPV' 1 1.1
## 56 'Mazda Protege' 1 1.1
## 57 'Mazda RX-7' 1 1.1
## 58 'Mercedes-Benz 190E' 1 1.1
## 59 'Mercedes-Benz 300E' 1 1.1
## 60 'Mercury Capri' 1 1.1
## 61 'Mercury Cougar' 1 1.1
## 62 'Mitsubishi Diamante' 1 1.1
## 63 'Mitsubishi Mirage' 1 1.1
## 64 'Nissan Altima' 1 1.1
## 65 'Nissan Maxima' 1 1.1
## 66 'Nissan Quest' 1 1.1
## 67 'Nissan Sentra' 1 1.1
## 68 'Oldsmobile Achieva' 1 1.1
## 69 'Oldsmobile Cutlass_Ciera' 1 1.1
## 70 'Oldsmobile Eighty-Eight' 1 1.1
## 71 'Oldsmobile Silhouette' 1 1.1
## 72 'Plymouth Laser' 1 1.1
## 73 'Pontiac Bonneville' 1 1.1
## 74 'Pontiac Firebird' 1 1.1
## 75 'Pontiac Grand_Prix' 1 1.1
## 76 'Pontiac LeMans' 1 1.1
## 77 'Pontiac Sunbird' 1 1.1
## 78 'Saab 900' 1 1.1
## 79 'Saturn SL' 1 1.1
## 80 'Subaru Justy' 1 1.1
## 81 'Subaru Legacy' 1 1.1
## 82 'Subaru Loyale' 1 1.1
## 83 'Suzuki Swift' 1 1.1
## 84 'Toyota Camry' 1 1.1
## 85 'Toyota Celica' 1 1.1
## 86 'Toyota Previa' 1 1.1
## 87 'Toyota Tercel' 1 1.1
## 88 'Volkswagen Corrado' 1 1.1
## 89 'Volkswagen Eurovan' 1 1.1
## 90 'Volkswagen Fox' 1 1.1
## 91 'Volkswagen Passat' 1 1.1
## 92 'Volvo 240' 1 1.1
## 93 'Volvo 850' 1 1.1
summary(Cars93)
## Manufacturer Model Type Min.Price Price
## Chevrolet: 8 100 : 1 Compact:16 Min. : 6.70 Min. : 7.40
## Ford : 8 190E : 1 Large :11 1st Qu.:10.80 1st Qu.:12.20
## Dodge : 6 240 : 1 Midsize:22 Median :14.70 Median :17.70
## Mazda : 5 300E : 1 Small :21 Mean :17.13 Mean :19.51
## Pontiac : 5 323 : 1 Sporty :14 3rd Qu.:20.30 3rd Qu.:23.30
## Buick : 4 535i : 1 Van : 9 Max. :45.40 Max. :61.90
## (Other) :57 (Other):87
## Max.Price MPG.city MPG.highway AirBags
## Min. : 7.9 Min. :15.00 Min. :20.00 Driver & Passenger:16
## 1st Qu.:14.7 1st Qu.:18.00 1st Qu.:26.00 Driver only :43
## Median :19.6 Median :21.00 Median :28.00 None :34
## Mean :21.9 Mean :22.37 Mean :29.09
## 3rd Qu.:25.3 3rd Qu.:25.00 3rd Qu.:31.00
## Max. :80.0 Max. :46.00 Max. :50.00
##
## DriveTrain Cylinders EngineSize Horsepower RPM
## 4WD :10 3 : 3 Min. :1.000 Min. : 55.0 Min. :3800
## Front:67 4 :49 1st Qu.:1.800 1st Qu.:103.0 1st Qu.:4800
## Rear :16 5 : 2 Median :2.400 Median :140.0 Median :5200
## 6 :31 Mean :2.668 Mean :143.8 Mean :5281
## 8 : 7 3rd Qu.:3.300 3rd Qu.:170.0 3rd Qu.:5750
## rotary: 1 Max. :5.700 Max. :300.0 Max. :6500
##
## Rev.per.mile Man.trans.avail Fuel.tank.capacity Passengers
## Min. :1320 No :32 Min. : 9.20 Min. :2.000
## 1st Qu.:1985 Yes:61 1st Qu.:14.50 1st Qu.:4.000
## Median :2340 Median :16.40 Median :5.000
## Mean :2332 Mean :16.66 Mean :5.086
## 3rd Qu.:2565 3rd Qu.:18.80 3rd Qu.:6.000
## Max. :3755 Max. :27.00 Max. :8.000
##
## Length Wheelbase Width Turn.circle
## Min. :141.0 Min. : 90.0 Min. :60.00 Min. :32.00
## 1st Qu.:174.0 1st Qu.: 98.0 1st Qu.:67.00 1st Qu.:37.00
## Median :183.0 Median :103.0 Median :69.00 Median :39.00
## Mean :183.2 Mean :103.9 Mean :69.38 Mean :38.96
## 3rd Qu.:192.0 3rd Qu.:110.0 3rd Qu.:72.00 3rd Qu.:41.00
## Max. :219.0 Max. :119.0 Max. :78.00 Max. :45.00
##
## Rear.seat.room Luggage.room Weight Origin Make
## Min. :19.00 Min. : 6.00 Min. :1695 USA :48 Acura Integra: 1
## 1st Qu.:26.00 1st Qu.:12.00 1st Qu.:2620 non-USA:45 Acura Legend : 1
## Median :27.50 Median :14.00 Median :3040 Audi 100 : 1
## Mean :27.83 Mean :13.89 Mean :3073 Audi 90 : 1
## 3rd Qu.:30.00 3rd Qu.:15.00 3rd Qu.:3525 BMW 535i : 1
## Max. :36.00 Max. :22.00 Max. :4105 Buick Century: 1
## NA's :2 NA's :11 (Other) :87
class(Cars93)
## [1] "data.frame"
sapply(Cars93, class)
## Manufacturer Model Type Min.Price
## "factor" "factor" "factor" "numeric"
## Price Max.Price MPG.city MPG.highway
## "numeric" "numeric" "integer" "integer"
## AirBags DriveTrain Cylinders EngineSize
## "factor" "factor" "factor" "numeric"
## Horsepower RPM Rev.per.mile Man.trans.avail
## "integer" "integer" "integer" "factor"
## Fuel.tank.capacity Passengers Length Wheelbase
## "numeric" "integer" "integer" "integer"
## Width Turn.circle Rear.seat.room Luggage.room
## "integer" "integer" "numeric" "integer"
## Weight Origin Make
## "integer" "factor" "factor"
sapply(Cars93, print.numeric_version)
## [1] 'Acura' 'Acura' 'Audi' 'Audi'
## [5] 'BMW' 'Buick' 'Buick' 'Buick'
## [9] 'Buick' 'Cadillac' 'Cadillac' 'Chevrolet'
## [13] 'Chevrolet' 'Chevrolet' 'Chevrolet' 'Chevrolet'
## [17] 'Chevrolet' 'Chevrolet' 'Chevrolet' 'Chrylser'
## [21] 'Chrysler' 'Chrysler' 'Dodge' 'Dodge'
## [25] 'Dodge' 'Dodge' 'Dodge' 'Dodge'
## [29] 'Eagle' 'Eagle' 'Ford' 'Ford'
## [33] 'Ford' 'Ford' 'Ford' 'Ford'
## [37] 'Ford' 'Ford' 'Geo' 'Geo'
## [41] 'Honda' 'Honda' 'Honda' 'Hyundai'
## [45] 'Hyundai' 'Hyundai' 'Hyundai' 'Infiniti'
## [49] 'Lexus' 'Lexus' 'Lincoln' 'Lincoln'
## [53] 'Mazda' 'Mazda' 'Mazda' 'Mazda'
## [57] 'Mazda' 'Mercedes-Benz' 'Mercedes-Benz' 'Mercury'
## [61] 'Mercury' 'Mitsubishi' 'Mitsubishi' 'Nissan'
## [65] 'Nissan' 'Nissan' 'Nissan' 'Oldsmobile'
## [69] 'Oldsmobile' 'Oldsmobile' 'Oldsmobile' 'Plymouth'
## [73] 'Pontiac' 'Pontiac' 'Pontiac' 'Pontiac'
## [77] 'Pontiac' 'Saab' 'Saturn' 'Subaru'
## [81] 'Subaru' 'Subaru' 'Suzuki' 'Toyota'
## [85] 'Toyota' 'Toyota' 'Toyota' 'Volkswagen'
## [89] 'Volkswagen' 'Volkswagen' 'Volkswagen' 'Volvo'
## [93] 'Volvo'
## [1] 'Integra' 'Legend' '90' '100'
## [5] '535i' 'Century' 'LeSabre' 'Roadmaster'
## [9] 'Riviera' 'DeVille' 'Seville' 'Cavalier'
## [13] 'Corsica' 'Camaro' 'Lumina' 'Lumina_APV'
## [17] 'Astro' 'Caprice' 'Corvette' 'Concorde'
## [21] 'LeBaron' 'Imperial' 'Colt' 'Shadow'
## [25] 'Spirit' 'Caravan' 'Dynasty' 'Stealth'
## [29] 'Summit' 'Vision' 'Festiva' 'Escort'
## [33] 'Tempo' 'Mustang' 'Probe' 'Aerostar'
## [37] 'Taurus' 'Crown_Victoria' 'Metro' 'Storm'
## [41] 'Prelude' 'Civic' 'Accord' 'Excel'
## [45] 'Elantra' 'Scoupe' 'Sonata' 'Q45'
## [49] 'ES300' 'SC300' 'Continental' 'Town_Car'
## [53] '323' 'Protege' '626' 'MPV'
## [57] 'RX-7' '190E' '300E' 'Capri'
## [61] 'Cougar' 'Mirage' 'Diamante' 'Sentra'
## [65] 'Altima' 'Quest' 'Maxima' 'Achieva'
## [69] 'Cutlass_Ciera' 'Silhouette' 'Eighty-Eight' 'Laser'
## [73] 'LeMans' 'Sunbird' 'Firebird' 'Grand_Prix'
## [77] 'Bonneville' '900' 'SL' 'Justy'
## [81] 'Loyale' 'Legacy' 'Swift' 'Tercel'
## [85] 'Celica' 'Camry' 'Previa' 'Fox'
## [89] 'Eurovan' 'Passat' 'Corrado' '240'
## [93] '850'
## [1] 'Small' 'Midsize' 'Compact' 'Midsize' 'Midsize' 'Midsize' 'Large'
## [8] 'Large' 'Midsize' 'Large' 'Midsize' 'Compact' 'Compact' 'Sporty'
## [15] 'Midsize' 'Van' 'Van' 'Large' 'Sporty' 'Large' 'Compact'
## [22] 'Large' 'Small' 'Small' 'Compact' 'Van' 'Midsize' 'Sporty'
## [29] 'Small' 'Large' 'Small' 'Small' 'Compact' 'Sporty' 'Sporty'
## [36] 'Van' 'Midsize' 'Large' 'Small' 'Sporty' 'Sporty' 'Small'
## [43] 'Compact' 'Small' 'Small' 'Sporty' 'Midsize' 'Midsize' 'Midsize'
## [50] 'Midsize' 'Midsize' 'Large' 'Small' 'Small' 'Compact' 'Van'
## [57] 'Sporty' 'Compact' 'Midsize' 'Sporty' 'Midsize' 'Small' 'Midsize'
## [64] 'Small' 'Compact' 'Van' 'Midsize' 'Compact' 'Midsize' 'Van'
## [71] 'Large' 'Sporty' 'Small' 'Compact' 'Sporty' 'Midsize' 'Large'
## [78] 'Compact' 'Small' 'Small' 'Small' 'Compact' 'Small' 'Small'
## [85] 'Sporty' 'Midsize' 'Van' 'Small' 'Van' 'Compact' 'Sporty'
## [92] 'Compact' 'Midsize'
## [1] '12.9' '29.2' '25.9' '30.8' '23.7' '14.2' '19.9' '22.6' '26.3' '33'
## [11] '37.5' '8.5' '11.4' '13.4' '13.4' '14.7' '14.7' '18' '34.6' '18.4'
## [21] '14.5' '29.5' '7.9' '8.4' '11.9' '13.6' '14.8' '18.5' '7.9' '17.5'
## [31] '6.9' '8.4' '10.4' '10.8' '12.8' '14.5' '15.6' '20.1' '6.7' '11.5'
## [41] '17' '8.4' '13.8' '6.8' '9' '9.1' '12.4' '45.4' '27.5' '34.7'
## [51] '33.3' '34.4' '7.4' '10.9' '14.3' '16.6' '32.5' '29' '43.8' '13.3'
## [61] '14.9' '7.7' '22.4' '8.7' '13' '16.7' '21' '13' '14.2' '19.5'
## [71] '19.5' '11.4' '8.2' '9.4' '14' '15.4' '19.4' '20.3' '9.2' '7.3'
## [81] '10.5' '16.3' '7.3' '7.8' '14.2' '15.2' '18.9' '8.7' '16.6' '17.6'
## [91] '22.9' '21.8' '24.8'
## [1] '15.9' '33.9' '29.1' '37.7' '30' '15.7' '20.8' '23.7' '26.3' '34.7'
## [11] '40.1' '13.4' '11.4' '15.1' '15.9' '16.3' '16.6' '18.8' '38' '18.4'
## [21] '15.8' '29.5' '9.2' '11.3' '13.3' '19' '15.6' '25.8' '12.2' '19.3'
## [31] '7.4' '10.1' '11.3' '15.9' '14' '19.9' '20.2' '20.9' '8.4' '12.5'
## [41] '19.8' '12.1' '17.5' '8' '10' '10' '13.9' '47.9' '28' '35.2'
## [51] '34.3' '36.1' '8.3' '11.6' '16.5' '19.1' '32.5' '31.9' '61.9' '14.1'
## [61] '14.9' '10.3' '26.1' '11.8' '15.7' '19.1' '21.5' '13.5' '16.3' '19.5'
## [71] '20.7' '14.4' '9' '11.1' '17.7' '18.5' '24.4' '28.7' '11.1' '8.4'
## [81] '10.9' '19.5' '8.6' '9.8' '18.4' '18.2' '22.7' '9.1' '19.7' '20'
## [91] '23.3' '22.7' '26.7'
## [1] '18.8' '38.7' '32.3' '44.6' '36.2' '17.3' '21.7' '24.9' '26.3' '36.3'
## [11] '42.7' '18.3' '11.4' '16.8' '18.4' '18' '18.6' '19.6' '41.5' '18.4'
## [21] '17.1' '29.5' '10.6' '14.2' '14.7' '24.4' '16.4' '33.1' '16.5' '21.2'
## [31] '7.9' '11.9' '12.2' '21' '15.2' '25.3' '24.8' '21.7' '10' '13.5'
## [41] '22.7' '15.8' '21.2' '9.2' '11' '11' '15.3' '50.4' '28.4' '35.6'
## [51] '35.3' '37.8' '9.1' '12.3' '18.7' '21.7' '32.5' '34.9' '80' '15'
## [61] '14.9' '12.9' '29.9' '14.9' '18.3' '21.5' '22' '14' '18.4' '19.5'
## [71] '21.9' '17.4' '9.9' '12.8' '21.4' '21.6' '29.4' '37.1' '12.9' '9.5'
## [81] '11.3' '22.7' '10' '11.8' '22.6' '21.2' '26.6' '9.5' '22.7' '22.4'
## [91] '23.7' '23.5' '28.5'
## [1] '25' '18' '20' '19' '22' '22' '19' '16' '19' '16' '16' '25' '25' '19' '21'
## [16] '18' '15' '17' '17' '20' '23' '20' '29' '23' '22' '17' '21' '18' '29' '20'
## [31] '31' '23' '22' '22' '24' '15' '21' '18' '46' '30' '24' '42' '24' '29' '22'
## [46] '26' '20' '17' '18' '18' '17' '18' '29' '28' '26' '18' '17' '20' '19' '23'
## [61] '19' '29' '18' '29' '24' '17' '21' '24' '23' '18' '19' '23' '31' '23' '19'
## [76] '19' '19' '20' '28' '33' '25' '23' '39' '32' '25' '22' '18' '25' '17' '21'
## [91] '18' '21' '20'
## [1] '31' '25' '26' '26' '30' '31' '28' '25' '27' '25' '25' '36' '34' '28' '29'
## [16] '23' '20' '26' '25' '28' '28' '26' '33' '29' '27' '21' '27' '24' '33' '28'
## [31] '33' '30' '27' '29' '30' '20' '30' '26' '50' '36' '31' '46' '31' '33' '29'
## [46] '34' '27' '22' '24' '23' '26' '26' '37' '36' '34' '24' '25' '29' '25' '26'
## [61] '26' '33' '24' '33' '30' '23' '26' '31' '31' '23' '28' '30' '41' '31' '28'
## [76] '27' '28' '26' '38' '37' '30' '30' '43' '37' '32' '29' '22' '33' '21' '30'
## [91] '25' '28' '28'
## [1] 'None' 'Driver & Passenger' 'Driver only'
## [4] 'Driver & Passenger' 'Driver only' 'Driver only'
## [7] 'Driver only' 'Driver only' 'Driver only'
## [10] 'Driver only' 'Driver & Passenger' 'None'
## [13] 'Driver only' 'Driver & Passenger' 'None'
## [16] 'None' 'None' 'Driver only'
## [19] 'Driver only' 'Driver & Passenger' 'Driver & Passenger'
## [22] 'Driver only' 'None' 'Driver only'
## [25] 'Driver only' 'Driver only' 'Driver only'
## [28] 'Driver only' 'None' 'Driver & Passenger'
## [31] 'None' 'None' 'None'
## [34] 'Driver only' 'Driver only' 'Driver only'
## [37] 'Driver only' 'Driver only' 'None'
## [40] 'Driver only' 'Driver & Passenger' 'Driver only'
## [43] 'Driver & Passenger' 'None' 'None'
## [46] 'None' 'None' 'Driver only'
## [49] 'Driver only' 'Driver & Passenger' 'Driver & Passenger'
## [52] 'Driver & Passenger' 'None' 'None'
## [55] 'Driver only' 'None' 'Driver only'
## [58] 'Driver only' 'Driver & Passenger' 'Driver only'
## [61] 'None' 'None' 'Driver only'
## [64] 'Driver only' 'Driver only' 'None'
## [67] 'Driver only' 'None' 'Driver only'
## [70] 'None' 'Driver only' 'None'
## [73] 'None' 'None' 'Driver & Passenger'
## [76] 'None' 'Driver & Passenger' 'Driver only'
## [79] 'Driver only' 'None' 'None'
## [82] 'Driver only' 'None' 'Driver only'
## [85] 'Driver only' 'Driver only' 'Driver only'
## [88] 'None' 'None' 'None'
## [91] 'None' 'Driver only' 'Driver & Passenger'
## [1] 'Front' 'Front' 'Front' 'Front' 'Rear' 'Front' 'Front' 'Rear' 'Front'
## [10] 'Front' 'Front' 'Front' 'Front' 'Rear' 'Front' 'Front' '4WD' 'Rear'
## [19] 'Rear' 'Front' 'Front' 'Front' 'Front' 'Front' 'Front' '4WD' 'Front'
## [28] '4WD' 'Front' 'Front' 'Front' 'Front' 'Front' 'Rear' 'Front' '4WD'
## [37] 'Front' 'Rear' 'Front' 'Front' 'Front' 'Front' 'Front' 'Front' 'Front'
## [46] 'Front' 'Front' 'Rear' 'Front' 'Rear' 'Front' 'Rear' 'Front' 'Front'
## [55] 'Front' '4WD' 'Rear' 'Rear' 'Rear' 'Front' 'Rear' 'Front' 'Front'
## [64] 'Front' 'Front' 'Front' 'Front' 'Front' 'Front' 'Front' 'Front' '4WD'
## [73] 'Front' 'Front' 'Rear' 'Front' 'Front' 'Front' 'Front' '4WD' '4WD'
## [82] '4WD' 'Front' 'Front' 'Front' 'Front' '4WD' 'Front' 'Front' 'Front'
## [91] 'Front' 'Rear' 'Front'
## [1] '4' '6' '6' '6' '4' '4' '6' '6'
## [9] '6' '8' '8' '4' '4' '6' '4' '6'
## [17] '6' '8' '8' '6' '4' '6' '4' '4'
## [25] '4' '6' '4' '6' '4' '6' '4' '4'
## [33] '4' '4' '4' '6' '6' '8' '3' '4'
## [41] '4' '4' '4' '4' '4' '4' '4' '8'
## [49] '6' '6' '6' '8' '4' '4' '4' '6'
## [57] 'rotary' '4' '6' '4' '6' '4' '6' '4'
## [65] '4' '6' '6' '4' '4' '6' '6' '4'
## [73] '4' '4' '6' '6' '6' '4' '4' '3'
## [81] '4' '4' '3' '4' '4' '4' '4' '4'
## [89] '5' '4' '6' '4' '5'
## [1] '1.8' '3.2' '2.8' '2.8' '3.5' '2.2' '3.8' '5.7' '3.8' '4.9' '4.6' '2.2'
## [13] '2.2' '3.4' '2.2' '3.8' '4.3' '5' '5.7' '3.3' '3' '3.3' '1.5' '2.2'
## [25] '2.5' '3' '2.5' '3' '1.5' '3.5' '1.3' '1.8' '2.3' '2.3' '2' '3'
## [37] '3' '4.6' '1' '1.6' '2.3' '1.5' '2.2' '1.5' '1.8' '1.5' '2' '4.5'
## [49] '3' '3' '3.8' '4.6' '1.6' '1.8' '2.5' '3' '1.3' '2.3' '3.2' '1.6'
## [61] '3.8' '1.5' '3' '1.6' '2.4' '3' '3' '2.3' '2.2' '3.8' '3.8' '1.8'
## [73] '1.6' '2' '3.4' '3.4' '3.8' '2.1' '1.9' '1.2' '1.8' '2.2' '1.3' '1.5'
## [85] '2.2' '2.2' '2.4' '1.8' '2.5' '2' '2.8' '2.3' '2.4'
## [1] '140' '200' '172' '172' '208' '110' '170' '180' '170' '200' '295' '110'
## [13] '110' '160' '110' '170' '165' '170' '300' '153' '141' '147' '92' '93'
## [25] '100' '142' '100' '300' '92' '214' '63' '127' '96' '105' '115' '145'
## [37] '140' '190' '55' '90' '160' '102' '140' '81' '124' '92' '128' '278'
## [49] '185' '225' '160' '210' '82' '103' '164' '155' '255' '130' '217' '100'
## [61] '140' '92' '202' '110' '150' '151' '160' '155' '110' '170' '170' '92'
## [73] '74' '110' '160' '200' '170' '140' '85' '73' '90' '130' '70' '82'
## [85] '135' '130' '138' '81' '109' '134' '178' '114' '168'
## [1] '6300' '5500' '5500' '5500' '5700' '5200' '4800' '4000' '4800' '4100'
## [11] '6000' '5200' '5200' '4600' '5200' '4800' '4000' '4200' '5000' '5300'
## [21] '5000' '4800' '6000' '4800' '4800' '5000' '4800' '6000' '6000' '5800'
## [31] '5000' '6500' '4200' '4600' '5500' '4800' '4800' '4200' '5700' '5400'
## [41] '5800' '5900' '5600' '5500' '6000' '5550' '6000' '6000' '5200' '6000'
## [51] '4400' '4600' '5000' '5500' '5600' '5000' '6500' '5100' '5500' '5750'
## [61] '3800' '6000' '6000' '6000' '5600' '4800' '5200' '6000' '5200' '4800'
## [71] '4800' '5000' '5600' '5200' '4600' '5000' '4800' '6000' '5000' '5600'
## [81] '5200' '5600' '6000' '5200' '5400' '5400' '5000' '5500' '4500' '5800'
## [91] '5800' '5400' '6200'
## [1] '2890' '2335' '2280' '2535' '2545' '2565' '1570' '1320' '1690' '1510'
## [11] '1985' '2380' '2665' '1805' '2595' '1690' '1790' '1350' '1450' '1990'
## [21] '2090' '1785' '3285' '2595' '2535' '1970' '2465' '2120' '2505' '1980'
## [31] '3150' '2410' '2805' '2285' '2340' '2080' '1885' '1415' '3755' '3250'
## [41] '2855' '2650' '2610' '2710' '2745' '2540' '2335' '1955' '2325' '2510'
## [51] '1835' '1840' '2370' '2220' '2505' '2240' '2325' '2425' '2220' '2475'
## [61] '1730' '2505' '2210' '2435' '2130' '2065' '2045' '2380' '2565' '1690'
## [71] '1570' '2360' '3130' '2665' '1805' '1890' '1565' '2910' '2145' '2875'
## [81] '3375' '2330' '3360' '3505' '2405' '2340' '2515' '2550' '2915' '2685'
## [91] '2385' '2215' '2310'
## [1] 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'No' 'No' 'No' 'No' 'No' 'No' 'Yes'
## [13] 'Yes' 'Yes' 'No' 'No' 'No' 'No' 'Yes' 'No' 'No' 'No' 'Yes' 'Yes'
## [25] 'Yes' 'No' 'No' 'Yes' 'Yes' 'No' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes'
## [37] 'No' 'No' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'No'
## [49] 'Yes' 'Yes' 'No' 'No' 'Yes' 'Yes' 'Yes' 'No' 'Yes' 'Yes' 'No' 'Yes'
## [61] 'No' 'Yes' 'No' 'Yes' 'Yes' 'No' 'No' 'No' 'No' 'No' 'No' 'Yes'
## [73] 'Yes' 'Yes' 'Yes' 'Yes' 'No' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes'
## [85] 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes' 'Yes'
## [1] '13.2' '18' '16.9' '21.1' '21.1' '16.4' '18' '23' '18.8' '18'
## [11] '20' '15.2' '15.6' '15.5' '16.5' '20' '27' '23' '20' '18'
## [21] '16' '16' '13.2' '14' '16' '20' '16' '19.8' '13.2' '18'
## [31] '10' '13.2' '15.9' '15.4' '15.5' '21' '16' '20' '10.6' '12.4'
## [41] '15.9' '11.9' '17' '11.9' '13.7' '11.9' '17.2' '22.5' '18.5' '20.6'
## [51] '18.4' '20' '13.2' '14.5' '15.5' '19.6' '20' '14.5' '18.5' '11.1'
## [61] '18' '13.2' '19' '13.2' '15.9' '20' '18.5' '15.2' '16.5' '20'
## [71] '18' '15.9' '13.2' '15.2' '15.5' '16.5' '18' '18' '12.8' '9.2'
## [81] '15.9' '15.9' '10.6' '11.9' '15.9' '18.5' '19.8' '12.4' '21.1' '18.5'
## [91] '18.5' '15.8' '19.3'
## [1] '5' '5' '5' '6' '4' '6' '6' '6' '5' '6' '5' '5' '5' '4' '6' '7' '8' '6' '2'
## [20] '6' '6' '6' '5' '5' '6' '7' '6' '4' '5' '6' '4' '5' '5' '4' '4' '7' '5' '6'
## [39] '4' '4' '4' '4' '4' '5' '5' '4' '5' '5' '5' '4' '6' '6' '4' '5' '5' '7' '2'
## [58] '5' '5' '4' '5' '5' '5' '5' '5' '7' '5' '5' '5' '7' '6' '4' '4' '5' '4' '5'
## [77] '6' '5' '5' '4' '5' '5' '4' '5' '4' '5' '7' '4' '7' '5' '4' '5' '5'
## [1] '177' '195' '180' '193' '186' '189' '200' '216' '198' '206' '204' '182'
## [13] '184' '193' '198' '178' '194' '214' '179' '203' '183' '203' '174' '172'
## [25] '181' '175' '192' '180' '174' '202' '141' '171' '177' '180' '179' '176'
## [37] '192' '212' '151' '164' '175' '173' '185' '168' '172' '166' '184' '200'
## [49] '188' '191' '205' '219' '164' '172' '184' '190' '169' '175' '187' '166'
## [61] '199' '172' '190' '170' '181' '190' '188' '188' '190' '194' '201' '173'
## [73] '177' '181' '196' '195' '177' '184' '176' '146' '175' '179' '161' '162'
## [85] '174' '188' '187' '163' '187' '180' '159' '190' '184'
## [1] '102' '115' '102' '106' '109' '105' '111' '116' '108' '114' '111' '101'
## [13] '103' '101' '108' '110' '111' '116' '96' '113' '104' '110' '98' '97'
## [25] '104' '112' '105' '97' '98' '113' '90' '98' '100' '101' '103' '119'
## [37] '106' '114' '93' '97' '100' '103' '107' '94' '98' '94' '104' '113'
## [49] '103' '106' '109' '117' '97' '98' '103' '110' '96' '105' '110' '95'
## [61] '113' '98' '107' '96' '103' '112' '104' '103' '105' '110' '111' '97'
## [73] '99' '101' '101' '108' '111' '99' '102' '90' '97' '102' '93' '94'
## [85] '99' '103' '113' '93' '115' '103' '97' '104' '105'
## [1] '68' '71' '67' '70' '69' '69' '74' '78' '73' '73' '74' '66' '68' '74' '71'
## [16] '74' '78' '77' '74' '74' '68' '69' '66' '67' '68' '72' '69' '72' '66' '74'
## [31] '63' '67' '68' '68' '70' '72' '71' '78' '63' '67' '70' '67' '67' '63' '66'
## [46] '64' '69' '72' '70' '71' '73' '77' '66' '66' '69' '72' '69' '67' '69' '65'
## [61] '73' '67' '70' '66' '67' '74' '69' '67' '70' '74' '74' '67' '66' '66' '75'
## [76] '72' '74' '67' '68' '60' '65' '67' '63' '65' '69' '70' '71' '63' '72' '67'
## [91] '66' '67' '69'
## [1] '37' '38' '37' '37' '39' '41' '42' '45' '41' '43' '44' '38' '39' '43' '40'
## [16] '44' '42' '42' '43' '40' '41' '44' '32' '38' '39' '42' '42' '40' '36' '40'
## [31] '33' '36' '39' '40' '38' '45' '40' '43' '34' '37' '39' '36' '41' '35' '36'
## [46] '34' '41' '42' '40' '39' '42' '45' '34' '36' '40' '39' '37' '34' '37' '36'
## [61] '38' '36' '43' '33' '40' '41' '41' '39' '42' '44' '42' '39' '35' '39' '43'
## [76] '41' '43' '37' '40' '32' '35' '37' '34' '36' '39' '38' '41' '34' '38' '35'
## [91] '36' '37' '38'
## [1] '26.5' '30' '28' '31' '27' '28' '30.5' '30.5' '26.5' '35'
## [11] '31' '25' '26' '25' '28.5' '30.5' '33.5' '29.5' <NA> '31'
## [21] '30.5' '36' '26.5' '26.5' '30.5' '26.5' '30.5' '20' '26.5' '30'
## [31] '26' '28' '27.5' '24' '23' '30' '27.5' '30' '27.5' '24.5'
## [41] '23.5' '28' '28' '26' '28' '23.5' '31' '29' '27.5' '25'
## [51] '30' '31.5' '27' '26.5' '29.5' '27.5' <NA> '26' '27' '19'
## [61] '28' '26' '27.5' '26' '28.5' '27' '28.5' '28' '28' '30.5'
## [71] '31.5' '24.5' '25.5' '25' '25' '28.5' '30.5' '26.5' '26.5' '23.5'
## [81] '27.5' '27' '27.5' '24' '23' '28.5' '35' '26' '34' '31.5'
## [91] '26' '29.5' '30'
## [1] '11' '15' '14' '17' '13' '16' '17' '21' '14' '18' '14' '13' '14' '13' '16'
## [16] <NA> <NA> '20' <NA> '15' '14' '17' '11' '13' '14' <NA> '16' '11' '11' '15'
## [31] '12' '12' '13' '12' '18' <NA> '18' '21' '10' '11' '8' '12' '14' '11' '12'
## [46] '9' '14' '15' '14' '9' '19' '22' '16' '13' '14' <NA> <NA> '12' '15' '6'
## [61] '15' '11' '14' '12' '14' <NA> '14' '14' '16' <NA> '17' '8' '17' '13' '13'
## [76] '16' '18' '14' '12' '10' '15' '14' '10' '11' '13' '15' <NA> '10' <NA> '14'
## [91] '15' '14' '15'
## [1] '2705' '3560' '3375' '3405' '3640' '2880' '3470' '4105' '3495' '3620'
## [11] '3935' '2490' '2785' '3240' '3195' '3715' '4025' '3910' '3380' '3515'
## [21] '3085' '3570' '2270' '2670' '2970' '3705' '3080' '3805' '2295' '3490'
## [31] '1845' '2530' '2690' '2850' '2710' '3735' '3325' '3950' '1695' '2475'
## [41] '2865' '2350' '3040' '2345' '2620' '2285' '2885' '4000' '3510' '3515'
## [51] '3695' '4055' '2325' '2440' '2970' '3735' '2895' '2920' '3525' '2450'
## [61] '3610' '2295' '3730' '2545' '3050' '4100' '3200' '2910' '2890' '3715'
## [71] '3470' '2640' '2350' '2575' '3240' '3450' '3495' '2775' '2495' '2045'
## [81] '2490' '3085' '1965' '2055' '2950' '3030' '3785' '2240' '3960' '2985'
## [91] '2810' '2985' '3245'
## [1] 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'USA' 'USA'
## [8] 'USA' 'USA' 'USA' 'USA' 'USA' 'USA' 'USA'
## [15] 'USA' 'USA' 'USA' 'USA' 'USA' 'USA' 'USA'
## [22] 'USA' 'USA' 'USA' 'USA' 'USA' 'USA' 'USA'
## [29] 'USA' 'USA' 'USA' 'USA' 'USA' 'USA' 'USA'
## [36] 'USA' 'USA' 'USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA'
## [43] 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA'
## [50] 'non-USA' 'USA' 'USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA'
## [57] 'non-USA' 'non-USA' 'non-USA' 'USA' 'USA' 'non-USA' 'non-USA'
## [64] 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'USA' 'USA' 'USA'
## [71] 'USA' 'USA' 'USA' 'USA' 'USA' 'USA' 'USA'
## [78] 'non-USA' 'USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA'
## [85] 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA' 'non-USA'
## [92] 'non-USA' 'non-USA'
## [1] 'Acura Integra' 'Acura Legend'
## [3] 'Audi 90' 'Audi 100'
## [5] 'BMW 535i' 'Buick Century'
## [7] 'Buick LeSabre' 'Buick Roadmaster'
## [9] 'Buick Riviera' 'Cadillac DeVille'
## [11] 'Cadillac Seville' 'Chevrolet Cavalier'
## [13] 'Chevrolet Corsica' 'Chevrolet Camaro'
## [15] 'Chevrolet Lumina' 'Chevrolet Lumina_APV'
## [17] 'Chevrolet Astro' 'Chevrolet Caprice'
## [19] 'Chevrolet Corvette' 'Chrylser Concorde'
## [21] 'Chrysler LeBaron' 'Chrysler Imperial'
## [23] 'Dodge Colt' 'Dodge Shadow'
## [25] 'Dodge Spirit' 'Dodge Caravan'
## [27] 'Dodge Dynasty' 'Dodge Stealth'
## [29] 'Eagle Summit' 'Eagle Vision'
## [31] 'Ford Festiva' 'Ford Escort'
## [33] 'Ford Tempo' 'Ford Mustang'
## [35] 'Ford Probe' 'Ford Aerostar'
## [37] 'Ford Taurus' 'Ford Crown_Victoria'
## [39] 'Geo Metro' 'Geo Storm'
## [41] 'Honda Prelude' 'Honda Civic'
## [43] 'Honda Accord' 'Hyundai Excel'
## [45] 'Hyundai Elantra' 'Hyundai Scoupe'
## [47] 'Hyundai Sonata' 'Infiniti Q45'
## [49] 'Lexus ES300' 'Lexus SC300'
## [51] 'Lincoln Continental' 'Lincoln Town_Car'
## [53] 'Mazda 323' 'Mazda Protege'
## [55] 'Mazda 626' 'Mazda MPV'
## [57] 'Mazda RX-7' 'Mercedes-Benz 190E'
## [59] 'Mercedes-Benz 300E' 'Mercury Capri'
## [61] 'Mercury Cougar' 'Mitsubishi Mirage'
## [63] 'Mitsubishi Diamante' 'Nissan Sentra'
## [65] 'Nissan Altima' 'Nissan Quest'
## [67] 'Nissan Maxima' 'Oldsmobile Achieva'
## [69] 'Oldsmobile Cutlass_Ciera' 'Oldsmobile Silhouette'
## [71] 'Oldsmobile Eighty-Eight' 'Plymouth Laser'
## [73] 'Pontiac LeMans' 'Pontiac Sunbird'
## [75] 'Pontiac Firebird' 'Pontiac Grand_Prix'
## [77] 'Pontiac Bonneville' 'Saab 900'
## [79] 'Saturn SL' 'Subaru Justy'
## [81] 'Subaru Loyale' 'Subaru Legacy'
## [83] 'Suzuki Swift' 'Toyota Tercel'
## [85] 'Toyota Celica' 'Toyota Camry'
## [87] 'Toyota Previa' 'Volkswagen Fox'
## [89] 'Volkswagen Eurovan' 'Volkswagen Passat'
## [91] 'Volkswagen Corrado' 'Volvo 240'
## [93] 'Volvo 850'
## Manufacturer Model Type Min.Price Price Max.Price MPG.city MPG.highway
## [1,] 1 49 4 12.9 15.9 18.8 25 31
## [2,] 1 56 3 29.2 33.9 38.7 18 25
## [3,] 2 9 1 25.9 29.1 32.3 20 26
## [4,] 2 1 3 30.8 37.7 44.6 19 26
## [5,] 3 6 3 23.7 30.0 36.2 22 30
## [6,] 4 24 3 14.2 15.7 17.3 22 31
## [7,] 4 54 2 19.9 20.8 21.7 19 28
## [8,] 4 74 2 22.6 23.7 24.9 16 25
## [9,] 4 73 3 26.3 26.3 26.3 19 27
## [10,] 5 35 2 33.0 34.7 36.3 16 25
## [11,] 5 79 3 37.5 40.1 42.7 16 25
## [12,] 6 22 1 8.5 13.4 18.3 25 36
## [13,] 6 30 1 11.4 11.4 11.4 25 34
## [14,] 6 17 5 13.4 15.1 16.8 19 28
## [15,] 6 58 3 13.4 15.9 18.4 21 29
## [16,] 6 59 6 14.7 16.3 18.0 18 23
## [17,] 6 15 6 14.7 16.6 18.6 15 20
## [18,] 6 20 2 18.0 18.8 19.6 17 26
## [19,] 6 31 5 34.6 38.0 41.5 17 25
## [20,] 7 27 2 18.4 18.4 18.4 20 28
## [21,] 8 52 1 14.5 15.8 17.1 23 28
## [22,] 8 48 2 29.5 29.5 29.5 20 26
## [23,] 9 26 4 7.9 9.2 10.6 29 33
## [24,] 9 80 4 8.4 11.3 14.2 23 29
## [25,] 9 83 1 11.9 13.3 14.7 22 27
## [26,] 9 21 6 13.6 19.0 24.4 17 21
## [27,] 9 37 3 14.8 15.6 16.4 21 27
## [28,] 9 84 5 18.5 25.8 33.1 18 24
## [29,] 10 86 4 7.9 12.2 16.5 29 33
## [30,] 10 93 2 17.5 19.3 21.2 20 28
## [31,] 11 44 4 6.9 7.4 7.9 31 33
## [32,] 11 41 4 8.4 10.1 11.9 23 30
## [33,] 11 90 1 10.4 11.3 12.2 22 27
## [34,] 11 64 5 10.8 15.9 21.0 22 29
## [35,] 11 68 5 12.8 14.0 15.2 24 30
## [36,] 11 13 6 14.5 19.9 25.3 15 20
## [37,] 11 89 3 15.6 20.2 24.8 21 30
## [38,] 11 33 2 20.1 20.9 21.7 18 26
## [39,] 12 62 4 6.7 8.4 10.0 46 50
## [40,] 12 85 5 11.5 12.5 13.5 30 36
## [41,] 13 66 5 17.0 19.8 22.7 24 31
## [42,] 13 25 4 8.4 12.1 15.8 42 46
## [43,] 13 11 1 13.8 17.5 21.2 24 31
## [44,] 14 43 4 6.8 8.0 9.2 29 33
## [45,] 14 40 4 9.0 10.0 11.0 22 29
## [46,] 14 77 5 9.1 10.0 11.0 26 34
## [47,] 14 82 3 12.4 13.9 15.3 20 27
## [48,] 15 70 3 45.4 47.9 50.4 17 22
## [49,] 16 38 3 27.5 28.0 28.4 18 24
## [50,] 16 75 3 34.7 35.2 35.6 18 23
## [51,] 17 28 3 33.3 34.3 35.3 17 26
## [52,] 17 92 2 34.4 36.1 37.8 18 26
## [53,] 18 5 4 7.4 8.3 9.1 29 37
## [54,] 18 69 4 10.9 11.6 12.3 28 36
## [55,] 18 7 1 14.3 16.5 18.7 26 34
## [56,] 18 60 6 16.6 19.1 21.7 18 24
## [57,] 18 72 5 32.5 32.5 32.5 17 25
## [58,] 19 2 1 29.0 31.9 34.9 20 29
## [59,] 19 4 3 43.8 61.9 80.0 19 25
## [60,] 20 19 5 13.3 14.1 15.0 23 26
## [61,] 20 32 3 14.9 14.9 14.9 19 26
## [62,] 21 63 4 7.7 10.3 12.9 29 33
## [63,] 21 36 3 22.4 26.1 29.9 18 24
## [64,] 22 78 4 8.7 11.8 14.9 29 33
## [65,] 22 14 1 13.0 15.7 18.3 24 30
## [66,] 22 71 6 16.7 19.1 21.5 17 23
## [67,] 22 61 3 21.0 21.5 22.0 21 26
## [68,] 23 12 1 13.0 13.5 14.0 24 31
## [69,] 23 34 3 14.2 16.3 18.4 23 31
## [70,] 23 81 6 19.5 19.5 19.5 18 23
## [71,] 23 39 2 19.5 20.7 21.9 19 28
## [72,] 24 51 5 11.4 14.4 17.4 23 30
## [73,] 25 53 4 8.2 9.0 9.9 31 41
## [74,] 25 87 1 9.4 11.1 12.8 23 31
## [75,] 25 45 5 14.0 17.7 21.4 19 28
## [76,] 25 47 3 15.4 18.5 21.6 19 27
## [77,] 25 16 2 19.4 24.4 29.4 19 28
## [78,] 26 10 1 20.3 28.7 37.1 20 26
## [79,] 27 76 4 9.2 11.1 12.9 28 38
## [80,] 28 50 4 7.3 8.4 9.5 33 37
## [81,] 28 57 4 10.5 10.9 11.3 25 30
## [82,] 28 55 1 16.3 19.5 22.7 23 30
## [83,] 29 88 4 7.3 8.6 10.0 39 43
## [84,] 30 91 4 7.8 9.8 11.8 32 37
## [85,] 30 23 5 14.2 18.4 22.6 25 32
## [86,] 30 18 3 15.2 18.2 21.2 22 29
## [87,] 30 67 6 18.9 22.7 26.6 18 22
## [88,] 31 46 4 8.7 9.1 9.5 25 33
## [89,] 31 42 6 16.6 19.7 22.7 17 21
## [90,] 31 65 1 17.6 20.0 22.4 21 30
## [91,] 31 29 5 22.9 23.3 23.7 18 25
## [92,] 32 3 1 21.8 22.7 23.5 21 28
## [93,] 32 8 3 24.8 26.7 28.5 20 28
## AirBags DriveTrain Cylinders EngineSize Horsepower RPM Rev.per.mile
## [1,] 3 2 2 1.8 140 6300 2890
## [2,] 1 2 4 3.2 200 5500 2335
## [3,] 2 2 4 2.8 172 5500 2280
## [4,] 1 2 4 2.8 172 5500 2535
## [5,] 2 3 2 3.5 208 5700 2545
## [6,] 2 2 2 2.2 110 5200 2565
## [7,] 2 2 4 3.8 170 4800 1570
## [8,] 2 3 4 5.7 180 4000 1320
## [9,] 2 2 4 3.8 170 4800 1690
## [10,] 2 2 5 4.9 200 4100 1510
## [11,] 1 2 5 4.6 295 6000 1985
## [12,] 3 2 2 2.2 110 5200 2380
## [13,] 2 2 2 2.2 110 5200 2665
## [14,] 1 3 4 3.4 160 4600 1805
## [15,] 3 2 2 2.2 110 5200 2595
## [16,] 3 2 4 3.8 170 4800 1690
## [17,] 3 1 4 4.3 165 4000 1790
## [18,] 2 3 5 5.0 170 4200 1350
## [19,] 2 3 5 5.7 300 5000 1450
## [20,] 1 2 4 3.3 153 5300 1990
## [21,] 1 2 2 3.0 141 5000 2090
## [22,] 2 2 4 3.3 147 4800 1785
## [23,] 3 2 2 1.5 92 6000 3285
## [24,] 2 2 2 2.2 93 4800 2595
## [25,] 2 2 2 2.5 100 4800 2535
## [26,] 2 1 4 3.0 142 5000 1970
## [27,] 2 2 2 2.5 100 4800 2465
## [28,] 2 1 4 3.0 300 6000 2120
## [29,] 3 2 2 1.5 92 6000 2505
## [30,] 1 2 4 3.5 214 5800 1980
## [31,] 3 2 2 1.3 63 5000 3150
## [32,] 3 2 2 1.8 127 6500 2410
## [33,] 3 2 2 2.3 96 4200 2805
## [34,] 2 3 2 2.3 105 4600 2285
## [35,] 2 2 2 2.0 115 5500 2340
## [36,] 2 1 4 3.0 145 4800 2080
## [37,] 2 2 4 3.0 140 4800 1885
## [38,] 2 3 5 4.6 190 4200 1415
## [39,] 3 2 1 1.0 55 5700 3755
## [40,] 2 2 2 1.6 90 5400 3250
## [41,] 1 2 2 2.3 160 5800 2855
## [42,] 2 2 2 1.5 102 5900 2650
## [43,] 1 2 2 2.2 140 5600 2610
## [44,] 3 2 2 1.5 81 5500 2710
## [45,] 3 2 2 1.8 124 6000 2745
## [46,] 3 2 2 1.5 92 5550 2540
## [47,] 3 2 2 2.0 128 6000 2335
## [48,] 2 3 5 4.5 278 6000 1955
## [49,] 2 2 4 3.0 185 5200 2325
## [50,] 1 3 4 3.0 225 6000 2510
## [51,] 1 2 4 3.8 160 4400 1835
## [52,] 1 3 5 4.6 210 4600 1840
## [53,] 3 2 2 1.6 82 5000 2370
## [54,] 3 2 2 1.8 103 5500 2220
## [55,] 2 2 2 2.5 164 5600 2505
## [56,] 3 1 4 3.0 155 5000 2240
## [57,] 2 3 6 1.3 255 6500 2325
## [58,] 2 3 2 2.3 130 5100 2425
## [59,] 1 3 4 3.2 217 5500 2220
## [60,] 2 2 2 1.6 100 5750 2475
## [61,] 3 3 4 3.8 140 3800 1730
## [62,] 3 2 2 1.5 92 6000 2505
## [63,] 2 2 4 3.0 202 6000 2210
## [64,] 2 2 2 1.6 110 6000 2435
## [65,] 2 2 2 2.4 150 5600 2130
## [66,] 3 2 4 3.0 151 4800 2065
## [67,] 2 2 4 3.0 160 5200 2045
## [68,] 3 2 2 2.3 155 6000 2380
## [69,] 2 2 2 2.2 110 5200 2565
## [70,] 3 2 4 3.8 170 4800 1690
## [71,] 2 2 4 3.8 170 4800 1570
## [72,] 3 1 2 1.8 92 5000 2360
## [73,] 3 2 2 1.6 74 5600 3130
## [74,] 3 2 2 2.0 110 5200 2665
## [75,] 1 3 4 3.4 160 4600 1805
## [76,] 3 2 4 3.4 200 5000 1890
## [77,] 1 2 4 3.8 170 4800 1565
## [78,] 2 2 2 2.1 140 6000 2910
## [79,] 2 2 2 1.9 85 5000 2145
## [80,] 3 1 1 1.2 73 5600 2875
## [81,] 3 1 2 1.8 90 5200 3375
## [82,] 2 1 2 2.2 130 5600 2330
## [83,] 3 2 1 1.3 70 6000 3360
## [84,] 2 2 2 1.5 82 5200 3505
## [85,] 2 2 2 2.2 135 5400 2405
## [86,] 2 2 2 2.2 130 5400 2340
## [87,] 2 1 2 2.4 138 5000 2515
## [88,] 3 2 2 1.8 81 5500 2550
## [89,] 3 2 3 2.5 109 4500 2915
## [90,] 3 2 2 2.0 134 5800 2685
## [91,] 3 2 4 2.8 178 5800 2385
## [92,] 2 3 2 2.3 114 5400 2215
## [93,] 1 2 3 2.4 168 6200 2310
## Man.trans.avail Fuel.tank.capacity Passengers Length Wheelbase Width
## [1,] 2 13.2 5 177 102 68
## [2,] 2 18.0 5 195 115 71
## [3,] 2 16.9 5 180 102 67
## [4,] 2 21.1 6 193 106 70
## [5,] 2 21.1 4 186 109 69
## [6,] 1 16.4 6 189 105 69
## [7,] 1 18.0 6 200 111 74
## [8,] 1 23.0 6 216 116 78
## [9,] 1 18.8 5 198 108 73
## [10,] 1 18.0 6 206 114 73
## [11,] 1 20.0 5 204 111 74
## [12,] 2 15.2 5 182 101 66
## [13,] 2 15.6 5 184 103 68
## [14,] 2 15.5 4 193 101 74
## [15,] 1 16.5 6 198 108 71
## [16,] 1 20.0 7 178 110 74
## [17,] 1 27.0 8 194 111 78
## [18,] 1 23.0 6 214 116 77
## [19,] 2 20.0 2 179 96 74
## [20,] 1 18.0 6 203 113 74
## [21,] 1 16.0 6 183 104 68
## [22,] 1 16.0 6 203 110 69
## [23,] 2 13.2 5 174 98 66
## [24,] 2 14.0 5 172 97 67
## [25,] 2 16.0 6 181 104 68
## [26,] 1 20.0 7 175 112 72
## [27,] 1 16.0 6 192 105 69
## [28,] 2 19.8 4 180 97 72
## [29,] 2 13.2 5 174 98 66
## [30,] 1 18.0 6 202 113 74
## [31,] 2 10.0 4 141 90 63
## [32,] 2 13.2 5 171 98 67
## [33,] 2 15.9 5 177 100 68
## [34,] 2 15.4 4 180 101 68
## [35,] 2 15.5 4 179 103 70
## [36,] 2 21.0 7 176 119 72
## [37,] 1 16.0 5 192 106 71
## [38,] 1 20.0 6 212 114 78
## [39,] 2 10.6 4 151 93 63
## [40,] 2 12.4 4 164 97 67
## [41,] 2 15.9 4 175 100 70
## [42,] 2 11.9 4 173 103 67
## [43,] 2 17.0 4 185 107 67
## [44,] 2 11.9 5 168 94 63
## [45,] 2 13.7 5 172 98 66
## [46,] 2 11.9 4 166 94 64
## [47,] 2 17.2 5 184 104 69
## [48,] 1 22.5 5 200 113 72
## [49,] 2 18.5 5 188 103 70
## [50,] 2 20.6 4 191 106 71
## [51,] 1 18.4 6 205 109 73
## [52,] 1 20.0 6 219 117 77
## [53,] 2 13.2 4 164 97 66
## [54,] 2 14.5 5 172 98 66
## [55,] 2 15.5 5 184 103 69
## [56,] 1 19.6 7 190 110 72
## [57,] 2 20.0 2 169 96 69
## [58,] 2 14.5 5 175 105 67
## [59,] 1 18.5 5 187 110 69
## [60,] 2 11.1 4 166 95 65
## [61,] 1 18.0 5 199 113 73
## [62,] 2 13.2 5 172 98 67
## [63,] 1 19.0 5 190 107 70
## [64,] 2 13.2 5 170 96 66
## [65,] 2 15.9 5 181 103 67
## [66,] 1 20.0 7 190 112 74
## [67,] 1 18.5 5 188 104 69
## [68,] 1 15.2 5 188 103 67
## [69,] 1 16.5 5 190 105 70
## [70,] 1 20.0 7 194 110 74
## [71,] 1 18.0 6 201 111 74
## [72,] 2 15.9 4 173 97 67
## [73,] 2 13.2 4 177 99 66
## [74,] 2 15.2 5 181 101 66
## [75,] 2 15.5 4 196 101 75
## [76,] 2 16.5 5 195 108 72
## [77,] 1 18.0 6 177 111 74
## [78,] 2 18.0 5 184 99 67
## [79,] 2 12.8 5 176 102 68
## [80,] 2 9.2 4 146 90 60
## [81,] 2 15.9 5 175 97 65
## [82,] 2 15.9 5 179 102 67
## [83,] 2 10.6 4 161 93 63
## [84,] 2 11.9 5 162 94 65
## [85,] 2 15.9 4 174 99 69
## [86,] 2 18.5 5 188 103 70
## [87,] 2 19.8 7 187 113 71
## [88,] 2 12.4 4 163 93 63
## [89,] 2 21.1 7 187 115 72
## [90,] 2 18.5 5 180 103 67
## [91,] 2 18.5 4 159 97 66
## [92,] 2 15.8 5 190 104 67
## [93,] 2 19.3 5 184 105 69
## Turn.circle Rear.seat.room Luggage.room Weight Origin Make
## [1,] 37 26.5 11 2705 2 1
## [2,] 38 30.0 15 3560 2 2
## [3,] 37 28.0 14 3375 2 4
## [4,] 37 31.0 17 3405 2 3
## [5,] 39 27.0 13 3640 2 5
## [6,] 41 28.0 16 2880 1 6
## [7,] 42 30.5 17 3470 1 7
## [8,] 45 30.5 21 4105 1 9
## [9,] 41 26.5 14 3495 1 8
## [10,] 43 35.0 18 3620 1 10
## [11,] 44 31.0 14 3935 1 11
## [12,] 38 25.0 13 2490 1 15
## [13,] 39 26.0 14 2785 1 16
## [14,] 43 25.0 13 3240 1 13
## [15,] 40 28.5 16 3195 1 18
## [16,] 44 30.5 NA 3715 1 19
## [17,] 42 33.5 NA 4025 1 12
## [18,] 42 29.5 20 3910 1 14
## [19,] 43 NA NA 3380 1 17
## [20,] 40 31.0 15 3515 1 20
## [21,] 41 30.5 14 3085 1 22
## [22,] 44 36.0 17 3570 1 21
## [23,] 32 26.5 11 2270 1 24
## [24,] 38 26.5 13 2670 1 26
## [25,] 39 30.5 14 2970 1 27
## [26,] 42 26.5 NA 3705 1 23
## [27,] 42 30.5 16 3080 1 25
## [28,] 40 20.0 11 3805 1 28
## [29,] 36 26.5 11 2295 1 29
## [30,] 40 30.0 15 3490 1 30
## [31,] 33 26.0 12 1845 1 34
## [32,] 36 28.0 12 2530 1 33
## [33,] 39 27.5 13 2690 1 38
## [34,] 40 24.0 12 2850 1 35
## [35,] 38 23.0 18 2710 1 36
## [36,] 45 30.0 NA 3735 1 31
## [37,] 40 27.5 18 3325 1 37
## [38,] 43 30.0 21 3950 1 32
## [39,] 34 27.5 10 1695 2 39
## [40,] 37 24.5 11 2475 2 40
## [41,] 39 23.5 8 2865 2 43
## [42,] 36 28.0 12 2350 2 42
## [43,] 41 28.0 14 3040 2 41
## [44,] 35 26.0 11 2345 2 45
## [45,] 36 28.0 12 2620 2 44
## [46,] 34 23.5 9 2285 2 46
## [47,] 41 31.0 14 2885 2 47
## [48,] 42 29.0 15 4000 2 48
## [49,] 40 27.5 14 3510 2 49
## [50,] 39 25.0 9 3515 2 50
## [51,] 42 30.0 19 3695 1 51
## [52,] 45 31.5 22 4055 1 52
## [53,] 34 27.0 16 2325 2 53
## [54,] 36 26.5 13 2440 2 56
## [55,] 40 29.5 14 2970 2 54
## [56,] 39 27.5 NA 3735 2 55
## [57,] 37 NA NA 2895 2 57
## [58,] 34 26.0 12 2920 2 58
## [59,] 37 27.0 15 3525 2 59
## [60,] 36 19.0 6 2450 1 60
## [61,] 38 28.0 15 3610 1 61
## [62,] 36 26.0 11 2295 2 63
## [63,] 43 27.5 14 3730 2 62
## [64,] 33 26.0 12 2545 2 67
## [65,] 40 28.5 14 3050 2 64
## [66,] 41 27.0 NA 4100 2 66
## [67,] 41 28.5 14 3200 2 65
## [68,] 39 28.0 14 2910 1 68
## [69,] 42 28.0 16 2890 1 69
## [70,] 44 30.5 NA 3715 1 71
## [71,] 42 31.5 17 3470 1 70
## [72,] 39 24.5 8 2640 1 72
## [73,] 35 25.5 17 2350 1 76
## [74,] 39 25.0 13 2575 1 77
## [75,] 43 25.0 13 3240 1 74
## [76,] 41 28.5 16 3450 1 75
## [77,] 43 30.5 18 3495 1 73
## [78,] 37 26.5 14 2775 2 78
## [79,] 40 26.5 12 2495 1 79
## [80,] 32 23.5 10 2045 2 80
## [81,] 35 27.5 15 2490 2 82
## [82,] 37 27.0 14 3085 2 81
## [83,] 34 27.5 10 1965 2 83
## [84,] 36 24.0 11 2055 2 87
## [85,] 39 23.0 13 2950 2 85
## [86,] 38 28.5 15 3030 2 84
## [87,] 41 35.0 NA 3785 2 86
## [88,] 34 26.0 10 2240 2 90
## [89,] 38 34.0 NA 3960 2 89
## [90,] 35 31.5 14 2985 2 91
## [91,] 36 26.0 15 2810 2 88
## [92,] 37 29.5 14 2985 2 92
## [93,] 38 30.0 15 3245 2 93
sapply(Cars93, print.octmode)
## [1] "Acura " "Acura " "Audi " "Audi "
## [5] "BMW " "Buick " "Buick " "Buick "
## [9] "Buick " "Cadillac " "Cadillac " "Chevrolet "
## [13] "Chevrolet " "Chevrolet " "Chevrolet " "Chevrolet "
## [17] "Chevrolet " "Chevrolet " "Chevrolet " "Chrylser "
## [21] "Chrysler " "Chrysler " "Dodge " "Dodge "
## [25] "Dodge " "Dodge " "Dodge " "Dodge "
## [29] "Eagle " "Eagle " "Ford " "Ford "
## [33] "Ford " "Ford " "Ford " "Ford "
## [37] "Ford " "Ford " "Geo " "Geo "
## [41] "Honda " "Honda " "Honda " "Hyundai "
## [45] "Hyundai " "Hyundai " "Hyundai " "Infiniti "
## [49] "Lexus " "Lexus " "Lincoln " "Lincoln "
## [53] "Mazda " "Mazda " "Mazda " "Mazda "
## [57] "Mazda " "Mercedes-Benz" "Mercedes-Benz" "Mercury "
## [61] "Mercury " "Mitsubishi " "Mitsubishi " "Nissan "
## [65] "Nissan " "Nissan " "Nissan " "Oldsmobile "
## [69] "Oldsmobile " "Oldsmobile " "Oldsmobile " "Plymouth "
## [73] "Pontiac " "Pontiac " "Pontiac " "Pontiac "
## [77] "Pontiac " "Saab " "Saturn " "Subaru "
## [81] "Subaru " "Subaru " "Suzuki " "Toyota "
## [85] "Toyota " "Toyota " "Toyota " "Volkswagen "
## [89] "Volkswagen " "Volkswagen " "Volkswagen " "Volvo "
## [93] "Volvo "
## [1] "Integra " "Legend " "90 " "100 "
## [5] "535i " "Century " "LeSabre " "Roadmaster "
## [9] "Riviera " "DeVille " "Seville " "Cavalier "
## [13] "Corsica " "Camaro " "Lumina " "Lumina_APV "
## [17] "Astro " "Caprice " "Corvette " "Concorde "
## [21] "LeBaron " "Imperial " "Colt " "Shadow "
## [25] "Spirit " "Caravan " "Dynasty " "Stealth "
## [29] "Summit " "Vision " "Festiva " "Escort "
## [33] "Tempo " "Mustang " "Probe " "Aerostar "
## [37] "Taurus " "Crown_Victoria" "Metro " "Storm "
## [41] "Prelude " "Civic " "Accord " "Excel "
## [45] "Elantra " "Scoupe " "Sonata " "Q45 "
## [49] "ES300 " "SC300 " "Continental " "Town_Car "
## [53] "323 " "Protege " "626 " "MPV "
## [57] "RX-7 " "190E " "300E " "Capri "
## [61] "Cougar " "Mirage " "Diamante " "Sentra "
## [65] "Altima " "Quest " "Maxima " "Achieva "
## [69] "Cutlass_Ciera " "Silhouette " "Eighty-Eight " "Laser "
## [73] "LeMans " "Sunbird " "Firebird " "Grand_Prix "
## [77] "Bonneville " "900 " "SL " "Justy "
## [81] "Loyale " "Legacy " "Swift " "Tercel "
## [85] "Celica " "Camry " "Previa " "Fox "
## [89] "Eurovan " "Passat " "Corrado " "240 "
## [93] "850 "
## [1] "Small " "Midsize" "Compact" "Midsize" "Midsize" "Midsize" "Large "
## [8] "Large " "Midsize" "Large " "Midsize" "Compact" "Compact" "Sporty "
## [15] "Midsize" "Van " "Van " "Large " "Sporty " "Large " "Compact"
## [22] "Large " "Small " "Small " "Compact" "Van " "Midsize" "Sporty "
## [29] "Small " "Large " "Small " "Small " "Compact" "Sporty " "Sporty "
## [36] "Van " "Midsize" "Large " "Small " "Sporty " "Sporty " "Small "
## [43] "Compact" "Small " "Small " "Sporty " "Midsize" "Midsize" "Midsize"
## [50] "Midsize" "Midsize" "Large " "Small " "Small " "Compact" "Van "
## [57] "Sporty " "Compact" "Midsize" "Sporty " "Midsize" "Small " "Midsize"
## [64] "Small " "Compact" "Van " "Midsize" "Compact" "Midsize" "Van "
## [71] "Large " "Sporty " "Small " "Compact" "Sporty " "Midsize" "Large "
## [78] "Compact" "Small " "Small " "Small " "Compact" "Small " "Small "
## [85] "Sporty " "Midsize" "Van " "Small " "Van " "Compact" "Sporty "
## [92] "Compact" "Midsize"
## [1] "12.9" "29.2" "25.9" "30.8" "23.7" "14.2" "19.9" "22.6" "26.3" "33.0"
## [11] "37.5" " 8.5" "11.4" "13.4" "13.4" "14.7" "14.7" "18.0" "34.6" "18.4"
## [21] "14.5" "29.5" " 7.9" " 8.4" "11.9" "13.6" "14.8" "18.5" " 7.9" "17.5"
## [31] " 6.9" " 8.4" "10.4" "10.8" "12.8" "14.5" "15.6" "20.1" " 6.7" "11.5"
## [41] "17.0" " 8.4" "13.8" " 6.8" " 9.0" " 9.1" "12.4" "45.4" "27.5" "34.7"
## [51] "33.3" "34.4" " 7.4" "10.9" "14.3" "16.6" "32.5" "29.0" "43.8" "13.3"
## [61] "14.9" " 7.7" "22.4" " 8.7" "13.0" "16.7" "21.0" "13.0" "14.2" "19.5"
## [71] "19.5" "11.4" " 8.2" " 9.4" "14.0" "15.4" "19.4" "20.3" " 9.2" " 7.3"
## [81] "10.5" "16.3" " 7.3" " 7.8" "14.2" "15.2" "18.9" " 8.7" "16.6" "17.6"
## [91] "22.9" "21.8" "24.8"
## [1] "15.9" "33.9" "29.1" "37.7" "30.0" "15.7" "20.8" "23.7" "26.3" "34.7"
## [11] "40.1" "13.4" "11.4" "15.1" "15.9" "16.3" "16.6" "18.8" "38.0" "18.4"
## [21] "15.8" "29.5" " 9.2" "11.3" "13.3" "19.0" "15.6" "25.8" "12.2" "19.3"
## [31] " 7.4" "10.1" "11.3" "15.9" "14.0" "19.9" "20.2" "20.9" " 8.4" "12.5"
## [41] "19.8" "12.1" "17.5" " 8.0" "10.0" "10.0" "13.9" "47.9" "28.0" "35.2"
## [51] "34.3" "36.1" " 8.3" "11.6" "16.5" "19.1" "32.5" "31.9" "61.9" "14.1"
## [61] "14.9" "10.3" "26.1" "11.8" "15.7" "19.1" "21.5" "13.5" "16.3" "19.5"
## [71] "20.7" "14.4" " 9.0" "11.1" "17.7" "18.5" "24.4" "28.7" "11.1" " 8.4"
## [81] "10.9" "19.5" " 8.6" " 9.8" "18.4" "18.2" "22.7" " 9.1" "19.7" "20.0"
## [91] "23.3" "22.7" "26.7"
## [1] "18.8" "38.7" "32.3" "44.6" "36.2" "17.3" "21.7" "24.9" "26.3" "36.3"
## [11] "42.7" "18.3" "11.4" "16.8" "18.4" "18.0" "18.6" "19.6" "41.5" "18.4"
## [21] "17.1" "29.5" "10.6" "14.2" "14.7" "24.4" "16.4" "33.1" "16.5" "21.2"
## [31] " 7.9" "11.9" "12.2" "21.0" "15.2" "25.3" "24.8" "21.7" "10.0" "13.5"
## [41] "22.7" "15.8" "21.2" " 9.2" "11.0" "11.0" "15.3" "50.4" "28.4" "35.6"
## [51] "35.3" "37.8" " 9.1" "12.3" "18.7" "21.7" "32.5" "34.9" "80.0" "15.0"
## [61] "14.9" "12.9" "29.9" "14.9" "18.3" "21.5" "22.0" "14.0" "18.4" "19.5"
## [71] "21.9" "17.4" " 9.9" "12.8" "21.4" "21.6" "29.4" "37.1" "12.9" " 9.5"
## [81] "11.3" "22.7" "10.0" "11.8" "22.6" "21.2" "26.6" " 9.5" "22.7" "22.4"
## [91] "23.7" "23.5" "28.5"
## [1] "25" "18" "20" "19" "22" "22" "19" "16" "19" "16" "16" "25" "25" "19" "21"
## [16] "18" "15" "17" "17" "20" "23" "20" "29" "23" "22" "17" "21" "18" "29" "20"
## [31] "31" "23" "22" "22" "24" "15" "21" "18" "46" "30" "24" "42" "24" "29" "22"
## [46] "26" "20" "17" "18" "18" "17" "18" "29" "28" "26" "18" "17" "20" "19" "23"
## [61] "19" "29" "18" "29" "24" "17" "21" "24" "23" "18" "19" "23" "31" "23" "19"
## [76] "19" "19" "20" "28" "33" "25" "23" "39" "32" "25" "22" "18" "25" "17" "21"
## [91] "18" "21" "20"
## [1] "31" "25" "26" "26" "30" "31" "28" "25" "27" "25" "25" "36" "34" "28" "29"
## [16] "23" "20" "26" "25" "28" "28" "26" "33" "29" "27" "21" "27" "24" "33" "28"
## [31] "33" "30" "27" "29" "30" "20" "30" "26" "50" "36" "31" "46" "31" "33" "29"
## [46] "34" "27" "22" "24" "23" "26" "26" "37" "36" "34" "24" "25" "29" "25" "26"
## [61] "26" "33" "24" "33" "30" "23" "26" "31" "31" "23" "28" "30" "41" "31" "28"
## [76] "27" "28" "26" "38" "37" "30" "30" "43" "37" "32" "29" "22" "33" "21" "30"
## [91] "25" "28" "28"
## [1] "None " "Driver & Passenger" "Driver only "
## [4] "Driver & Passenger" "Driver only " "Driver only "
## [7] "Driver only " "Driver only " "Driver only "
## [10] "Driver only " "Driver & Passenger" "None "
## [13] "Driver only " "Driver & Passenger" "None "
## [16] "None " "None " "Driver only "
## [19] "Driver only " "Driver & Passenger" "Driver & Passenger"
## [22] "Driver only " "None " "Driver only "
## [25] "Driver only " "Driver only " "Driver only "
## [28] "Driver only " "None " "Driver & Passenger"
## [31] "None " "None " "None "
## [34] "Driver only " "Driver only " "Driver only "
## [37] "Driver only " "Driver only " "None "
## [40] "Driver only " "Driver & Passenger" "Driver only "
## [43] "Driver & Passenger" "None " "None "
## [46] "None " "None " "Driver only "
## [49] "Driver only " "Driver & Passenger" "Driver & Passenger"
## [52] "Driver & Passenger" "None " "None "
## [55] "Driver only " "None " "Driver only "
## [58] "Driver only " "Driver & Passenger" "Driver only "
## [61] "None " "None " "Driver only "
## [64] "Driver only " "Driver only " "None "
## [67] "Driver only " "None " "Driver only "
## [70] "None " "Driver only " "None "
## [73] "None " "None " "Driver & Passenger"
## [76] "None " "Driver & Passenger" "Driver only "
## [79] "Driver only " "None " "None "
## [82] "Driver only " "None " "Driver only "
## [85] "Driver only " "Driver only " "Driver only "
## [88] "None " "None " "None "
## [91] "None " "Driver only " "Driver & Passenger"
## [1] "Front" "Front" "Front" "Front" "Rear " "Front" "Front" "Rear " "Front"
## [10] "Front" "Front" "Front" "Front" "Rear " "Front" "Front" "4WD " "Rear "
## [19] "Rear " "Front" "Front" "Front" "Front" "Front" "Front" "4WD " "Front"
## [28] "4WD " "Front" "Front" "Front" "Front" "Front" "Rear " "Front" "4WD "
## [37] "Front" "Rear " "Front" "Front" "Front" "Front" "Front" "Front" "Front"
## [46] "Front" "Front" "Rear " "Front" "Rear " "Front" "Rear " "Front" "Front"
## [55] "Front" "4WD " "Rear " "Rear " "Rear " "Front" "Rear " "Front" "Front"
## [64] "Front" "Front" "Front" "Front" "Front" "Front" "Front" "Front" "4WD "
## [73] "Front" "Front" "Rear " "Front" "Front" "Front" "Front" "4WD " "4WD "
## [82] "4WD " "Front" "Front" "Front" "Front" "4WD " "Front" "Front" "Front"
## [91] "Front" "Rear " "Front"
## [1] "4 " "6 " "6 " "6 " "4 " "4 " "6 " "6 "
## [9] "6 " "8 " "8 " "4 " "4 " "6 " "4 " "6 "
## [17] "6 " "8 " "8 " "6 " "4 " "6 " "4 " "4 "
## [25] "4 " "6 " "4 " "6 " "4 " "6 " "4 " "4 "
## [33] "4 " "4 " "4 " "6 " "6 " "8 " "3 " "4 "
## [41] "4 " "4 " "4 " "4 " "4 " "4 " "4 " "8 "
## [49] "6 " "6 " "6 " "8 " "4 " "4 " "4 " "6 "
## [57] "rotary" "4 " "6 " "4 " "6 " "4 " "6 " "4 "
## [65] "4 " "6 " "6 " "4 " "4 " "6 " "6 " "4 "
## [73] "4 " "4 " "6 " "6 " "6 " "4 " "4 " "3 "
## [81] "4 " "4 " "3 " "4 " "4 " "4 " "4 " "4 "
## [89] "5 " "4 " "6 " "4 " "5 "
## [1] "1.8" "3.2" "2.8" "2.8" "3.5" "2.2" "3.8" "5.7" "3.8" "4.9" "4.6" "2.2"
## [13] "2.2" "3.4" "2.2" "3.8" "4.3" "5.0" "5.7" "3.3" "3.0" "3.3" "1.5" "2.2"
## [25] "2.5" "3.0" "2.5" "3.0" "1.5" "3.5" "1.3" "1.8" "2.3" "2.3" "2.0" "3.0"
## [37] "3.0" "4.6" "1.0" "1.6" "2.3" "1.5" "2.2" "1.5" "1.8" "1.5" "2.0" "4.5"
## [49] "3.0" "3.0" "3.8" "4.6" "1.6" "1.8" "2.5" "3.0" "1.3" "2.3" "3.2" "1.6"
## [61] "3.8" "1.5" "3.0" "1.6" "2.4" "3.0" "3.0" "2.3" "2.2" "3.8" "3.8" "1.8"
## [73] "1.6" "2.0" "3.4" "3.4" "3.8" "2.1" "1.9" "1.2" "1.8" "2.2" "1.3" "1.5"
## [85] "2.2" "2.2" "2.4" "1.8" "2.5" "2.0" "2.8" "2.3" "2.4"
## [1] "140" "200" "172" "172" "208" "110" "170" "180" "170" "200" "295" "110"
## [13] "110" "160" "110" "170" "165" "170" "300" "153" "141" "147" " 92" " 93"
## [25] "100" "142" "100" "300" " 92" "214" " 63" "127" " 96" "105" "115" "145"
## [37] "140" "190" " 55" " 90" "160" "102" "140" " 81" "124" " 92" "128" "278"
## [49] "185" "225" "160" "210" " 82" "103" "164" "155" "255" "130" "217" "100"
## [61] "140" " 92" "202" "110" "150" "151" "160" "155" "110" "170" "170" " 92"
## [73] " 74" "110" "160" "200" "170" "140" " 85" " 73" " 90" "130" " 70" " 82"
## [85] "135" "130" "138" " 81" "109" "134" "178" "114" "168"
## [1] "6300" "5500" "5500" "5500" "5700" "5200" "4800" "4000" "4800" "4100"
## [11] "6000" "5200" "5200" "4600" "5200" "4800" "4000" "4200" "5000" "5300"
## [21] "5000" "4800" "6000" "4800" "4800" "5000" "4800" "6000" "6000" "5800"
## [31] "5000" "6500" "4200" "4600" "5500" "4800" "4800" "4200" "5700" "5400"
## [41] "5800" "5900" "5600" "5500" "6000" "5550" "6000" "6000" "5200" "6000"
## [51] "4400" "4600" "5000" "5500" "5600" "5000" "6500" "5100" "5500" "5750"
## [61] "3800" "6000" "6000" "6000" "5600" "4800" "5200" "6000" "5200" "4800"
## [71] "4800" "5000" "5600" "5200" "4600" "5000" "4800" "6000" "5000" "5600"
## [81] "5200" "5600" "6000" "5200" "5400" "5400" "5000" "5500" "4500" "5800"
## [91] "5800" "5400" "6200"
## [1] "2890" "2335" "2280" "2535" "2545" "2565" "1570" "1320" "1690" "1510"
## [11] "1985" "2380" "2665" "1805" "2595" "1690" "1790" "1350" "1450" "1990"
## [21] "2090" "1785" "3285" "2595" "2535" "1970" "2465" "2120" "2505" "1980"
## [31] "3150" "2410" "2805" "2285" "2340" "2080" "1885" "1415" "3755" "3250"
## [41] "2855" "2650" "2610" "2710" "2745" "2540" "2335" "1955" "2325" "2510"
## [51] "1835" "1840" "2370" "2220" "2505" "2240" "2325" "2425" "2220" "2475"
## [61] "1730" "2505" "2210" "2435" "2130" "2065" "2045" "2380" "2565" "1690"
## [71] "1570" "2360" "3130" "2665" "1805" "1890" "1565" "2910" "2145" "2875"
## [81] "3375" "2330" "3360" "3505" "2405" "2340" "2515" "2550" "2915" "2685"
## [91] "2385" "2215" "2310"
## [1] "Yes" "Yes" "Yes" "Yes" "Yes" "No " "No " "No " "No " "No " "No " "Yes"
## [13] "Yes" "Yes" "No " "No " "No " "No " "Yes" "No " "No " "No " "Yes" "Yes"
## [25] "Yes" "No " "No " "Yes" "Yes" "No " "Yes" "Yes" "Yes" "Yes" "Yes" "Yes"
## [37] "No " "No " "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "No "
## [49] "Yes" "Yes" "No " "No " "Yes" "Yes" "Yes" "No " "Yes" "Yes" "No " "Yes"
## [61] "No " "Yes" "No " "Yes" "Yes" "No " "No " "No " "No " "No " "No " "Yes"
## [73] "Yes" "Yes" "Yes" "Yes" "No " "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes"
## [85] "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes" "Yes"
## [1] "13.2" "18.0" "16.9" "21.1" "21.1" "16.4" "18.0" "23.0" "18.8" "18.0"
## [11] "20.0" "15.2" "15.6" "15.5" "16.5" "20.0" "27.0" "23.0" "20.0" "18.0"
## [21] "16.0" "16.0" "13.2" "14.0" "16.0" "20.0" "16.0" "19.8" "13.2" "18.0"
## [31] "10.0" "13.2" "15.9" "15.4" "15.5" "21.0" "16.0" "20.0" "10.6" "12.4"
## [41] "15.9" "11.9" "17.0" "11.9" "13.7" "11.9" "17.2" "22.5" "18.5" "20.6"
## [51] "18.4" "20.0" "13.2" "14.5" "15.5" "19.6" "20.0" "14.5" "18.5" "11.1"
## [61] "18.0" "13.2" "19.0" "13.2" "15.9" "20.0" "18.5" "15.2" "16.5" "20.0"
## [71] "18.0" "15.9" "13.2" "15.2" "15.5" "16.5" "18.0" "18.0" "12.8" " 9.2"
## [81] "15.9" "15.9" "10.6" "11.9" "15.9" "18.5" "19.8" "12.4" "21.1" "18.5"
## [91] "18.5" "15.8" "19.3"
## [1] "5" "5" "5" "6" "4" "6" "6" "6" "5" "6" "5" "5" "5" "4" "6" "7" "8" "6" "2"
## [20] "6" "6" "6" "5" "5" "6" "7" "6" "4" "5" "6" "4" "5" "5" "4" "4" "7" "5" "6"
## [39] "4" "4" "4" "4" "4" "5" "5" "4" "5" "5" "5" "4" "6" "6" "4" "5" "5" "7" "2"
## [58] "5" "5" "4" "5" "5" "5" "5" "5" "7" "5" "5" "5" "7" "6" "4" "4" "5" "4" "5"
## [77] "6" "5" "5" "4" "5" "5" "4" "5" "4" "5" "7" "4" "7" "5" "4" "5" "5"
## [1] "177" "195" "180" "193" "186" "189" "200" "216" "198" "206" "204" "182"
## [13] "184" "193" "198" "178" "194" "214" "179" "203" "183" "203" "174" "172"
## [25] "181" "175" "192" "180" "174" "202" "141" "171" "177" "180" "179" "176"
## [37] "192" "212" "151" "164" "175" "173" "185" "168" "172" "166" "184" "200"
## [49] "188" "191" "205" "219" "164" "172" "184" "190" "169" "175" "187" "166"
## [61] "199" "172" "190" "170" "181" "190" "188" "188" "190" "194" "201" "173"
## [73] "177" "181" "196" "195" "177" "184" "176" "146" "175" "179" "161" "162"
## [85] "174" "188" "187" "163" "187" "180" "159" "190" "184"
## [1] "102" "115" "102" "106" "109" "105" "111" "116" "108" "114" "111" "101"
## [13] "103" "101" "108" "110" "111" "116" " 96" "113" "104" "110" " 98" " 97"
## [25] "104" "112" "105" " 97" " 98" "113" " 90" " 98" "100" "101" "103" "119"
## [37] "106" "114" " 93" " 97" "100" "103" "107" " 94" " 98" " 94" "104" "113"
## [49] "103" "106" "109" "117" " 97" " 98" "103" "110" " 96" "105" "110" " 95"
## [61] "113" " 98" "107" " 96" "103" "112" "104" "103" "105" "110" "111" " 97"
## [73] " 99" "101" "101" "108" "111" " 99" "102" " 90" " 97" "102" " 93" " 94"
## [85] " 99" "103" "113" " 93" "115" "103" " 97" "104" "105"
## [1] "68" "71" "67" "70" "69" "69" "74" "78" "73" "73" "74" "66" "68" "74" "71"
## [16] "74" "78" "77" "74" "74" "68" "69" "66" "67" "68" "72" "69" "72" "66" "74"
## [31] "63" "67" "68" "68" "70" "72" "71" "78" "63" "67" "70" "67" "67" "63" "66"
## [46] "64" "69" "72" "70" "71" "73" "77" "66" "66" "69" "72" "69" "67" "69" "65"
## [61] "73" "67" "70" "66" "67" "74" "69" "67" "70" "74" "74" "67" "66" "66" "75"
## [76] "72" "74" "67" "68" "60" "65" "67" "63" "65" "69" "70" "71" "63" "72" "67"
## [91] "66" "67" "69"
## [1] "37" "38" "37" "37" "39" "41" "42" "45" "41" "43" "44" "38" "39" "43" "40"
## [16] "44" "42" "42" "43" "40" "41" "44" "32" "38" "39" "42" "42" "40" "36" "40"
## [31] "33" "36" "39" "40" "38" "45" "40" "43" "34" "37" "39" "36" "41" "35" "36"
## [46] "34" "41" "42" "40" "39" "42" "45" "34" "36" "40" "39" "37" "34" "37" "36"
## [61] "38" "36" "43" "33" "40" "41" "41" "39" "42" "44" "42" "39" "35" "39" "43"
## [76] "41" "43" "37" "40" "32" "35" "37" "34" "36" "39" "38" "41" "34" "38" "35"
## [91] "36" "37" "38"
## [1] "26.5" "30.0" "28.0" "31.0" "27.0" "28.0" "30.5" "30.5" "26.5" "35.0"
## [11] "31.0" "25.0" "26.0" "25.0" "28.5" "30.5" "33.5" "29.5" " NA" "31.0"
## [21] "30.5" "36.0" "26.5" "26.5" "30.5" "26.5" "30.5" "20.0" "26.5" "30.0"
## [31] "26.0" "28.0" "27.5" "24.0" "23.0" "30.0" "27.5" "30.0" "27.5" "24.5"
## [41] "23.5" "28.0" "28.0" "26.0" "28.0" "23.5" "31.0" "29.0" "27.5" "25.0"
## [51] "30.0" "31.5" "27.0" "26.5" "29.5" "27.5" " NA" "26.0" "27.0" "19.0"
## [61] "28.0" "26.0" "27.5" "26.0" "28.5" "27.0" "28.5" "28.0" "28.0" "30.5"
## [71] "31.5" "24.5" "25.5" "25.0" "25.0" "28.5" "30.5" "26.5" "26.5" "23.5"
## [81] "27.5" "27.0" "27.5" "24.0" "23.0" "28.5" "35.0" "26.0" "34.0" "31.5"
## [91] "26.0" "29.5" "30.0"
## [1] "11" "15" "14" "17" "13" "16" "17" "21" "14" "18" "14" "13" "14" "13" "16"
## [16] "NA" "NA" "20" "NA" "15" "14" "17" "11" "13" "14" "NA" "16" "11" "11" "15"
## [31] "12" "12" "13" "12" "18" "NA" "18" "21" "10" "11" " 8" "12" "14" "11" "12"
## [46] " 9" "14" "15" "14" " 9" "19" "22" "16" "13" "14" "NA" "NA" "12" "15" " 6"
## [61] "15" "11" "14" "12" "14" "NA" "14" "14" "16" "NA" "17" " 8" "17" "13" "13"
## [76] "16" "18" "14" "12" "10" "15" "14" "10" "11" "13" "15" "NA" "10" "NA" "14"
## [91] "15" "14" "15"
## [1] "2705" "3560" "3375" "3405" "3640" "2880" "3470" "4105" "3495" "3620"
## [11] "3935" "2490" "2785" "3240" "3195" "3715" "4025" "3910" "3380" "3515"
## [21] "3085" "3570" "2270" "2670" "2970" "3705" "3080" "3805" "2295" "3490"
## [31] "1845" "2530" "2690" "2850" "2710" "3735" "3325" "3950" "1695" "2475"
## [41] "2865" "2350" "3040" "2345" "2620" "2285" "2885" "4000" "3510" "3515"
## [51] "3695" "4055" "2325" "2440" "2970" "3735" "2895" "2920" "3525" "2450"
## [61] "3610" "2295" "3730" "2545" "3050" "4100" "3200" "2910" "2890" "3715"
## [71] "3470" "2640" "2350" "2575" "3240" "3450" "3495" "2775" "2495" "2045"
## [81] "2490" "3085" "1965" "2055" "2950" "3030" "3785" "2240" "3960" "2985"
## [91] "2810" "2985" "3245"
## [1] "non-USA" "non-USA" "non-USA" "non-USA" "non-USA" "USA " "USA "
## [8] "USA " "USA " "USA " "USA " "USA " "USA " "USA "
## [15] "USA " "USA " "USA " "USA " "USA " "USA " "USA "
## [22] "USA " "USA " "USA " "USA " "USA " "USA " "USA "
## [29] "USA " "USA " "USA " "USA " "USA " "USA " "USA "
## [36] "USA " "USA " "USA " "non-USA" "non-USA" "non-USA" "non-USA"
## [43] "non-USA" "non-USA" "non-USA" "non-USA" "non-USA" "non-USA" "non-USA"
## [50] "non-USA" "USA " "USA " "non-USA" "non-USA" "non-USA" "non-USA"
## [57] "non-USA" "non-USA" "non-USA" "USA " "USA " "non-USA" "non-USA"
## [64] "non-USA" "non-USA" "non-USA" "non-USA" "USA " "USA " "USA "
## [71] "USA " "USA " "USA " "USA " "USA " "USA " "USA "
## [78] "non-USA" "USA " "non-USA" "non-USA" "non-USA" "non-USA" "non-USA"
## [85] "non-USA" "non-USA" "non-USA" "non-USA" "non-USA" "non-USA" "non-USA"
## [92] "non-USA" "non-USA"
## [1] "Acura Integra " "Acura Legend "
## [3] "Audi 90 " "Audi 100 "
## [5] "BMW 535i " "Buick Century "
## [7] "Buick LeSabre " "Buick Roadmaster "
## [9] "Buick Riviera " "Cadillac DeVille "
## [11] "Cadillac Seville " "Chevrolet Cavalier "
## [13] "Chevrolet Corsica " "Chevrolet Camaro "
## [15] "Chevrolet Lumina " "Chevrolet Lumina_APV "
## [17] "Chevrolet Astro " "Chevrolet Caprice "
## [19] "Chevrolet Corvette " "Chrylser Concorde "
## [21] "Chrysler LeBaron " "Chrysler Imperial "
## [23] "Dodge Colt " "Dodge Shadow "
## [25] "Dodge Spirit " "Dodge Caravan "
## [27] "Dodge Dynasty " "Dodge Stealth "
## [29] "Eagle Summit " "Eagle Vision "
## [31] "Ford Festiva " "Ford Escort "
## [33] "Ford Tempo " "Ford Mustang "
## [35] "Ford Probe " "Ford Aerostar "
## [37] "Ford Taurus " "Ford Crown_Victoria "
## [39] "Geo Metro " "Geo Storm "
## [41] "Honda Prelude " "Honda Civic "
## [43] "Honda Accord " "Hyundai Excel "
## [45] "Hyundai Elantra " "Hyundai Scoupe "
## [47] "Hyundai Sonata " "Infiniti Q45 "
## [49] "Lexus ES300 " "Lexus SC300 "
## [51] "Lincoln Continental " "Lincoln Town_Car "
## [53] "Mazda 323 " "Mazda Protege "
## [55] "Mazda 626 " "Mazda MPV "
## [57] "Mazda RX-7 " "Mercedes-Benz 190E "
## [59] "Mercedes-Benz 300E " "Mercury Capri "
## [61] "Mercury Cougar " "Mitsubishi Mirage "
## [63] "Mitsubishi Diamante " "Nissan Sentra "
## [65] "Nissan Altima " "Nissan Quest "
## [67] "Nissan Maxima " "Oldsmobile Achieva "
## [69] "Oldsmobile Cutlass_Ciera" "Oldsmobile Silhouette "
## [71] "Oldsmobile Eighty-Eight " "Plymouth Laser "
## [73] "Pontiac LeMans " "Pontiac Sunbird "
## [75] "Pontiac Firebird " "Pontiac Grand_Prix "
## [77] "Pontiac Bonneville " "Saab 900 "
## [79] "Saturn SL " "Subaru Justy "
## [81] "Subaru Loyale " "Subaru Legacy "
## [83] "Suzuki Swift " "Toyota Tercel "
## [85] "Toyota Celica " "Toyota Camry "
## [87] "Toyota Previa " "Volkswagen Fox "
## [89] "Volkswagen Eurovan " "Volkswagen Passat "
## [91] "Volkswagen Corrado " "Volvo 240 "
## [93] "Volvo 850 "
## Manufacturer Model Type Min.Price Price Max.Price MPG.city MPG.highway
## [1,] 1 49 4 12.9 15.9 18.8 25 31
## [2,] 1 56 3 29.2 33.9 38.7 18 25
## [3,] 2 9 1 25.9 29.1 32.3 20 26
## [4,] 2 1 3 30.8 37.7 44.6 19 26
## [5,] 3 6 3 23.7 30.0 36.2 22 30
## [6,] 4 24 3 14.2 15.7 17.3 22 31
## [7,] 4 54 2 19.9 20.8 21.7 19 28
## [8,] 4 74 2 22.6 23.7 24.9 16 25
## [9,] 4 73 3 26.3 26.3 26.3 19 27
## [10,] 5 35 2 33.0 34.7 36.3 16 25
## [11,] 5 79 3 37.5 40.1 42.7 16 25
## [12,] 6 22 1 8.5 13.4 18.3 25 36
## [13,] 6 30 1 11.4 11.4 11.4 25 34
## [14,] 6 17 5 13.4 15.1 16.8 19 28
## [15,] 6 58 3 13.4 15.9 18.4 21 29
## [16,] 6 59 6 14.7 16.3 18.0 18 23
## [17,] 6 15 6 14.7 16.6 18.6 15 20
## [18,] 6 20 2 18.0 18.8 19.6 17 26
## [19,] 6 31 5 34.6 38.0 41.5 17 25
## [20,] 7 27 2 18.4 18.4 18.4 20 28
## [21,] 8 52 1 14.5 15.8 17.1 23 28
## [22,] 8 48 2 29.5 29.5 29.5 20 26
## [23,] 9 26 4 7.9 9.2 10.6 29 33
## [24,] 9 80 4 8.4 11.3 14.2 23 29
## [25,] 9 83 1 11.9 13.3 14.7 22 27
## [26,] 9 21 6 13.6 19.0 24.4 17 21
## [27,] 9 37 3 14.8 15.6 16.4 21 27
## [28,] 9 84 5 18.5 25.8 33.1 18 24
## [29,] 10 86 4 7.9 12.2 16.5 29 33
## [30,] 10 93 2 17.5 19.3 21.2 20 28
## [31,] 11 44 4 6.9 7.4 7.9 31 33
## [32,] 11 41 4 8.4 10.1 11.9 23 30
## [33,] 11 90 1 10.4 11.3 12.2 22 27
## [34,] 11 64 5 10.8 15.9 21.0 22 29
## [35,] 11 68 5 12.8 14.0 15.2 24 30
## [36,] 11 13 6 14.5 19.9 25.3 15 20
## [37,] 11 89 3 15.6 20.2 24.8 21 30
## [38,] 11 33 2 20.1 20.9 21.7 18 26
## [39,] 12 62 4 6.7 8.4 10.0 46 50
## [40,] 12 85 5 11.5 12.5 13.5 30 36
## [41,] 13 66 5 17.0 19.8 22.7 24 31
## [42,] 13 25 4 8.4 12.1 15.8 42 46
## [43,] 13 11 1 13.8 17.5 21.2 24 31
## [44,] 14 43 4 6.8 8.0 9.2 29 33
## [45,] 14 40 4 9.0 10.0 11.0 22 29
## [46,] 14 77 5 9.1 10.0 11.0 26 34
## [47,] 14 82 3 12.4 13.9 15.3 20 27
## [48,] 15 70 3 45.4 47.9 50.4 17 22
## [49,] 16 38 3 27.5 28.0 28.4 18 24
## [50,] 16 75 3 34.7 35.2 35.6 18 23
## [51,] 17 28 3 33.3 34.3 35.3 17 26
## [52,] 17 92 2 34.4 36.1 37.8 18 26
## [53,] 18 5 4 7.4 8.3 9.1 29 37
## [54,] 18 69 4 10.9 11.6 12.3 28 36
## [55,] 18 7 1 14.3 16.5 18.7 26 34
## [56,] 18 60 6 16.6 19.1 21.7 18 24
## [57,] 18 72 5 32.5 32.5 32.5 17 25
## [58,] 19 2 1 29.0 31.9 34.9 20 29
## [59,] 19 4 3 43.8 61.9 80.0 19 25
## [60,] 20 19 5 13.3 14.1 15.0 23 26
## [61,] 20 32 3 14.9 14.9 14.9 19 26
## [62,] 21 63 4 7.7 10.3 12.9 29 33
## [63,] 21 36 3 22.4 26.1 29.9 18 24
## [64,] 22 78 4 8.7 11.8 14.9 29 33
## [65,] 22 14 1 13.0 15.7 18.3 24 30
## [66,] 22 71 6 16.7 19.1 21.5 17 23
## [67,] 22 61 3 21.0 21.5 22.0 21 26
## [68,] 23 12 1 13.0 13.5 14.0 24 31
## [69,] 23 34 3 14.2 16.3 18.4 23 31
## [70,] 23 81 6 19.5 19.5 19.5 18 23
## [71,] 23 39 2 19.5 20.7 21.9 19 28
## [72,] 24 51 5 11.4 14.4 17.4 23 30
## [73,] 25 53 4 8.2 9.0 9.9 31 41
## [74,] 25 87 1 9.4 11.1 12.8 23 31
## [75,] 25 45 5 14.0 17.7 21.4 19 28
## [76,] 25 47 3 15.4 18.5 21.6 19 27
## [77,] 25 16 2 19.4 24.4 29.4 19 28
## [78,] 26 10 1 20.3 28.7 37.1 20 26
## [79,] 27 76 4 9.2 11.1 12.9 28 38
## [80,] 28 50 4 7.3 8.4 9.5 33 37
## [81,] 28 57 4 10.5 10.9 11.3 25 30
## [82,] 28 55 1 16.3 19.5 22.7 23 30
## [83,] 29 88 4 7.3 8.6 10.0 39 43
## [84,] 30 91 4 7.8 9.8 11.8 32 37
## [85,] 30 23 5 14.2 18.4 22.6 25 32
## [86,] 30 18 3 15.2 18.2 21.2 22 29
## [87,] 30 67 6 18.9 22.7 26.6 18 22
## [88,] 31 46 4 8.7 9.1 9.5 25 33
## [89,] 31 42 6 16.6 19.7 22.7 17 21
## [90,] 31 65 1 17.6 20.0 22.4 21 30
## [91,] 31 29 5 22.9 23.3 23.7 18 25
## [92,] 32 3 1 21.8 22.7 23.5 21 28
## [93,] 32 8 3 24.8 26.7 28.5 20 28
## AirBags DriveTrain Cylinders EngineSize Horsepower RPM Rev.per.mile
## [1,] 3 2 2 1.8 140 6300 2890
## [2,] 1 2 4 3.2 200 5500 2335
## [3,] 2 2 4 2.8 172 5500 2280
## [4,] 1 2 4 2.8 172 5500 2535
## [5,] 2 3 2 3.5 208 5700 2545
## [6,] 2 2 2 2.2 110 5200 2565
## [7,] 2 2 4 3.8 170 4800 1570
## [8,] 2 3 4 5.7 180 4000 1320
## [9,] 2 2 4 3.8 170 4800 1690
## [10,] 2 2 5 4.9 200 4100 1510
## [11,] 1 2 5 4.6 295 6000 1985
## [12,] 3 2 2 2.2 110 5200 2380
## [13,] 2 2 2 2.2 110 5200 2665
## [14,] 1 3 4 3.4 160 4600 1805
## [15,] 3 2 2 2.2 110 5200 2595
## [16,] 3 2 4 3.8 170 4800 1690
## [17,] 3 1 4 4.3 165 4000 1790
## [18,] 2 3 5 5.0 170 4200 1350
## [19,] 2 3 5 5.7 300 5000 1450
## [20,] 1 2 4 3.3 153 5300 1990
## [21,] 1 2 2 3.0 141 5000 2090
## [22,] 2 2 4 3.3 147 4800 1785
## [23,] 3 2 2 1.5 92 6000 3285
## [24,] 2 2 2 2.2 93 4800 2595
## [25,] 2 2 2 2.5 100 4800 2535
## [26,] 2 1 4 3.0 142 5000 1970
## [27,] 2 2 2 2.5 100 4800 2465
## [28,] 2 1 4 3.0 300 6000 2120
## [29,] 3 2 2 1.5 92 6000 2505
## [30,] 1 2 4 3.5 214 5800 1980
## [31,] 3 2 2 1.3 63 5000 3150
## [32,] 3 2 2 1.8 127 6500 2410
## [33,] 3 2 2 2.3 96 4200 2805
## [34,] 2 3 2 2.3 105 4600 2285
## [35,] 2 2 2 2.0 115 5500 2340
## [36,] 2 1 4 3.0 145 4800 2080
## [37,] 2 2 4 3.0 140 4800 1885
## [38,] 2 3 5 4.6 190 4200 1415
## [39,] 3 2 1 1.0 55 5700 3755
## [40,] 2 2 2 1.6 90 5400 3250
## [41,] 1 2 2 2.3 160 5800 2855
## [42,] 2 2 2 1.5 102 5900 2650
## [43,] 1 2 2 2.2 140 5600 2610
## [44,] 3 2 2 1.5 81 5500 2710
## [45,] 3 2 2 1.8 124 6000 2745
## [46,] 3 2 2 1.5 92 5550 2540
## [47,] 3 2 2 2.0 128 6000 2335
## [48,] 2 3 5 4.5 278 6000 1955
## [49,] 2 2 4 3.0 185 5200 2325
## [50,] 1 3 4 3.0 225 6000 2510
## [51,] 1 2 4 3.8 160 4400 1835
## [52,] 1 3 5 4.6 210 4600 1840
## [53,] 3 2 2 1.6 82 5000 2370
## [54,] 3 2 2 1.8 103 5500 2220
## [55,] 2 2 2 2.5 164 5600 2505
## [56,] 3 1 4 3.0 155 5000 2240
## [57,] 2 3 6 1.3 255 6500 2325
## [58,] 2 3 2 2.3 130 5100 2425
## [59,] 1 3 4 3.2 217 5500 2220
## [60,] 2 2 2 1.6 100 5750 2475
## [61,] 3 3 4 3.8 140 3800 1730
## [62,] 3 2 2 1.5 92 6000 2505
## [63,] 2 2 4 3.0 202 6000 2210
## [64,] 2 2 2 1.6 110 6000 2435
## [65,] 2 2 2 2.4 150 5600 2130
## [66,] 3 2 4 3.0 151 4800 2065
## [67,] 2 2 4 3.0 160 5200 2045
## [68,] 3 2 2 2.3 155 6000 2380
## [69,] 2 2 2 2.2 110 5200 2565
## [70,] 3 2 4 3.8 170 4800 1690
## [71,] 2 2 4 3.8 170 4800 1570
## [72,] 3 1 2 1.8 92 5000 2360
## [73,] 3 2 2 1.6 74 5600 3130
## [74,] 3 2 2 2.0 110 5200 2665
## [75,] 1 3 4 3.4 160 4600 1805
## [76,] 3 2 4 3.4 200 5000 1890
## [77,] 1 2 4 3.8 170 4800 1565
## [78,] 2 2 2 2.1 140 6000 2910
## [79,] 2 2 2 1.9 85 5000 2145
## [80,] 3 1 1 1.2 73 5600 2875
## [81,] 3 1 2 1.8 90 5200 3375
## [82,] 2 1 2 2.2 130 5600 2330
## [83,] 3 2 1 1.3 70 6000 3360
## [84,] 2 2 2 1.5 82 5200 3505
## [85,] 2 2 2 2.2 135 5400 2405
## [86,] 2 2 2 2.2 130 5400 2340
## [87,] 2 1 2 2.4 138 5000 2515
## [88,] 3 2 2 1.8 81 5500 2550
## [89,] 3 2 3 2.5 109 4500 2915
## [90,] 3 2 2 2.0 134 5800 2685
## [91,] 3 2 4 2.8 178 5800 2385
## [92,] 2 3 2 2.3 114 5400 2215
## [93,] 1 2 3 2.4 168 6200 2310
## Man.trans.avail Fuel.tank.capacity Passengers Length Wheelbase Width
## [1,] 2 13.2 5 177 102 68
## [2,] 2 18.0 5 195 115 71
## [3,] 2 16.9 5 180 102 67
## [4,] 2 21.1 6 193 106 70
## [5,] 2 21.1 4 186 109 69
## [6,] 1 16.4 6 189 105 69
## [7,] 1 18.0 6 200 111 74
## [8,] 1 23.0 6 216 116 78
## [9,] 1 18.8 5 198 108 73
## [10,] 1 18.0 6 206 114 73
## [11,] 1 20.0 5 204 111 74
## [12,] 2 15.2 5 182 101 66
## [13,] 2 15.6 5 184 103 68
## [14,] 2 15.5 4 193 101 74
## [15,] 1 16.5 6 198 108 71
## [16,] 1 20.0 7 178 110 74
## [17,] 1 27.0 8 194 111 78
## [18,] 1 23.0 6 214 116 77
## [19,] 2 20.0 2 179 96 74
## [20,] 1 18.0 6 203 113 74
## [21,] 1 16.0 6 183 104 68
## [22,] 1 16.0 6 203 110 69
## [23,] 2 13.2 5 174 98 66
## [24,] 2 14.0 5 172 97 67
## [25,] 2 16.0 6 181 104 68
## [26,] 1 20.0 7 175 112 72
## [27,] 1 16.0 6 192 105 69
## [28,] 2 19.8 4 180 97 72
## [29,] 2 13.2 5 174 98 66
## [30,] 1 18.0 6 202 113 74
## [31,] 2 10.0 4 141 90 63
## [32,] 2 13.2 5 171 98 67
## [33,] 2 15.9 5 177 100 68
## [34,] 2 15.4 4 180 101 68
## [35,] 2 15.5 4 179 103 70
## [36,] 2 21.0 7 176 119 72
## [37,] 1 16.0 5 192 106 71
## [38,] 1 20.0 6 212 114 78
## [39,] 2 10.6 4 151 93 63
## [40,] 2 12.4 4 164 97 67
## [41,] 2 15.9 4 175 100 70
## [42,] 2 11.9 4 173 103 67
## [43,] 2 17.0 4 185 107 67
## [44,] 2 11.9 5 168 94 63
## [45,] 2 13.7 5 172 98 66
## [46,] 2 11.9 4 166 94 64
## [47,] 2 17.2 5 184 104 69
## [48,] 1 22.5 5 200 113 72
## [49,] 2 18.5 5 188 103 70
## [50,] 2 20.6 4 191 106 71
## [51,] 1 18.4 6 205 109 73
## [52,] 1 20.0 6 219 117 77
## [53,] 2 13.2 4 164 97 66
## [54,] 2 14.5 5 172 98 66
## [55,] 2 15.5 5 184 103 69
## [56,] 1 19.6 7 190 110 72
## [57,] 2 20.0 2 169 96 69
## [58,] 2 14.5 5 175 105 67
## [59,] 1 18.5 5 187 110 69
## [60,] 2 11.1 4 166 95 65
## [61,] 1 18.0 5 199 113 73
## [62,] 2 13.2 5 172 98 67
## [63,] 1 19.0 5 190 107 70
## [64,] 2 13.2 5 170 96 66
## [65,] 2 15.9 5 181 103 67
## [66,] 1 20.0 7 190 112 74
## [67,] 1 18.5 5 188 104 69
## [68,] 1 15.2 5 188 103 67
## [69,] 1 16.5 5 190 105 70
## [70,] 1 20.0 7 194 110 74
## [71,] 1 18.0 6 201 111 74
## [72,] 2 15.9 4 173 97 67
## [73,] 2 13.2 4 177 99 66
## [74,] 2 15.2 5 181 101 66
## [75,] 2 15.5 4 196 101 75
## [76,] 2 16.5 5 195 108 72
## [77,] 1 18.0 6 177 111 74
## [78,] 2 18.0 5 184 99 67
## [79,] 2 12.8 5 176 102 68
## [80,] 2 9.2 4 146 90 60
## [81,] 2 15.9 5 175 97 65
## [82,] 2 15.9 5 179 102 67
## [83,] 2 10.6 4 161 93 63
## [84,] 2 11.9 5 162 94 65
## [85,] 2 15.9 4 174 99 69
## [86,] 2 18.5 5 188 103 70
## [87,] 2 19.8 7 187 113 71
## [88,] 2 12.4 4 163 93 63
## [89,] 2 21.1 7 187 115 72
## [90,] 2 18.5 5 180 103 67
## [91,] 2 18.5 4 159 97 66
## [92,] 2 15.8 5 190 104 67
## [93,] 2 19.3 5 184 105 69
## Turn.circle Rear.seat.room Luggage.room Weight Origin Make
## [1,] 37 26.5 11 2705 2 1
## [2,] 38 30.0 15 3560 2 2
## [3,] 37 28.0 14 3375 2 4
## [4,] 37 31.0 17 3405 2 3
## [5,] 39 27.0 13 3640 2 5
## [6,] 41 28.0 16 2880 1 6
## [7,] 42 30.5 17 3470 1 7
## [8,] 45 30.5 21 4105 1 9
## [9,] 41 26.5 14 3495 1 8
## [10,] 43 35.0 18 3620 1 10
## [11,] 44 31.0 14 3935 1 11
## [12,] 38 25.0 13 2490 1 15
## [13,] 39 26.0 14 2785 1 16
## [14,] 43 25.0 13 3240 1 13
## [15,] 40 28.5 16 3195 1 18
## [16,] 44 30.5 NA 3715 1 19
## [17,] 42 33.5 NA 4025 1 12
## [18,] 42 29.5 20 3910 1 14
## [19,] 43 NA NA 3380 1 17
## [20,] 40 31.0 15 3515 1 20
## [21,] 41 30.5 14 3085 1 22
## [22,] 44 36.0 17 3570 1 21
## [23,] 32 26.5 11 2270 1 24
## [24,] 38 26.5 13 2670 1 26
## [25,] 39 30.5 14 2970 1 27
## [26,] 42 26.5 NA 3705 1 23
## [27,] 42 30.5 16 3080 1 25
## [28,] 40 20.0 11 3805 1 28
## [29,] 36 26.5 11 2295 1 29
## [30,] 40 30.0 15 3490 1 30
## [31,] 33 26.0 12 1845 1 34
## [32,] 36 28.0 12 2530 1 33
## [33,] 39 27.5 13 2690 1 38
## [34,] 40 24.0 12 2850 1 35
## [35,] 38 23.0 18 2710 1 36
## [36,] 45 30.0 NA 3735 1 31
## [37,] 40 27.5 18 3325 1 37
## [38,] 43 30.0 21 3950 1 32
## [39,] 34 27.5 10 1695 2 39
## [40,] 37 24.5 11 2475 2 40
## [41,] 39 23.5 8 2865 2 43
## [42,] 36 28.0 12 2350 2 42
## [43,] 41 28.0 14 3040 2 41
## [44,] 35 26.0 11 2345 2 45
## [45,] 36 28.0 12 2620 2 44
## [46,] 34 23.5 9 2285 2 46
## [47,] 41 31.0 14 2885 2 47
## [48,] 42 29.0 15 4000 2 48
## [49,] 40 27.5 14 3510 2 49
## [50,] 39 25.0 9 3515 2 50
## [51,] 42 30.0 19 3695 1 51
## [52,] 45 31.5 22 4055 1 52
## [53,] 34 27.0 16 2325 2 53
## [54,] 36 26.5 13 2440 2 56
## [55,] 40 29.5 14 2970 2 54
## [56,] 39 27.5 NA 3735 2 55
## [57,] 37 NA NA 2895 2 57
## [58,] 34 26.0 12 2920 2 58
## [59,] 37 27.0 15 3525 2 59
## [60,] 36 19.0 6 2450 1 60
## [61,] 38 28.0 15 3610 1 61
## [62,] 36 26.0 11 2295 2 63
## [63,] 43 27.5 14 3730 2 62
## [64,] 33 26.0 12 2545 2 67
## [65,] 40 28.5 14 3050 2 64
## [66,] 41 27.0 NA 4100 2 66
## [67,] 41 28.5 14 3200 2 65
## [68,] 39 28.0 14 2910 1 68
## [69,] 42 28.0 16 2890 1 69
## [70,] 44 30.5 NA 3715 1 71
## [71,] 42 31.5 17 3470 1 70
## [72,] 39 24.5 8 2640 1 72
## [73,] 35 25.5 17 2350 1 76
## [74,] 39 25.0 13 2575 1 77
## [75,] 43 25.0 13 3240 1 74
## [76,] 41 28.5 16 3450 1 75
## [77,] 43 30.5 18 3495 1 73
## [78,] 37 26.5 14 2775 2 78
## [79,] 40 26.5 12 2495 1 79
## [80,] 32 23.5 10 2045 2 80
## [81,] 35 27.5 15 2490 2 82
## [82,] 37 27.0 14 3085 2 81
## [83,] 34 27.5 10 1965 2 83
## [84,] 36 24.0 11 2055 2 87
## [85,] 39 23.0 13 2950 2 85
## [86,] 38 28.5 15 3030 2 84
## [87,] 41 35.0 NA 3785 2 86
## [88,] 34 26.0 10 2240 2 90
## [89,] 38 34.0 NA 3960 2 89
## [90,] 35 31.5 14 2985 2 91
## [91,] 36 26.0 15 2810 2 88
## [92,] 37 29.5 14 2985 2 92
## [93,] 38 30.0 15 3245 2 93
summary(Cars93)
## Manufacturer Model Type Min.Price Price
## Chevrolet: 8 100 : 1 Compact:16 Min. : 6.70 Min. : 7.40
## Ford : 8 190E : 1 Large :11 1st Qu.:10.80 1st Qu.:12.20
## Dodge : 6 240 : 1 Midsize:22 Median :14.70 Median :17.70
## Mazda : 5 300E : 1 Small :21 Mean :17.13 Mean :19.51
## Pontiac : 5 323 : 1 Sporty :14 3rd Qu.:20.30 3rd Qu.:23.30
## Buick : 4 535i : 1 Van : 9 Max. :45.40 Max. :61.90
## (Other) :57 (Other):87
## Max.Price MPG.city MPG.highway AirBags
## Min. : 7.9 Min. :15.00 Min. :20.00 Driver & Passenger:16
## 1st Qu.:14.7 1st Qu.:18.00 1st Qu.:26.00 Driver only :43
## Median :19.6 Median :21.00 Median :28.00 None :34
## Mean :21.9 Mean :22.37 Mean :29.09
## 3rd Qu.:25.3 3rd Qu.:25.00 3rd Qu.:31.00
## Max. :80.0 Max. :46.00 Max. :50.00
##
## DriveTrain Cylinders EngineSize Horsepower RPM
## 4WD :10 3 : 3 Min. :1.000 Min. : 55.0 Min. :3800
## Front:67 4 :49 1st Qu.:1.800 1st Qu.:103.0 1st Qu.:4800
## Rear :16 5 : 2 Median :2.400 Median :140.0 Median :5200
## 6 :31 Mean :2.668 Mean :143.8 Mean :5281
## 8 : 7 3rd Qu.:3.300 3rd Qu.:170.0 3rd Qu.:5750
## rotary: 1 Max. :5.700 Max. :300.0 Max. :6500
##
## Rev.per.mile Man.trans.avail Fuel.tank.capacity Passengers
## Min. :1320 No :32 Min. : 9.20 Min. :2.000
## 1st Qu.:1985 Yes:61 1st Qu.:14.50 1st Qu.:4.000
## Median :2340 Median :16.40 Median :5.000
## Mean :2332 Mean :16.66 Mean :5.086
## 3rd Qu.:2565 3rd Qu.:18.80 3rd Qu.:6.000
## Max. :3755 Max. :27.00 Max. :8.000
##
## Length Wheelbase Width Turn.circle
## Min. :141.0 Min. : 90.0 Min. :60.00 Min. :32.00
## 1st Qu.:174.0 1st Qu.: 98.0 1st Qu.:67.00 1st Qu.:37.00
## Median :183.0 Median :103.0 Median :69.00 Median :39.00
## Mean :183.2 Mean :103.9 Mean :69.38 Mean :38.96
## 3rd Qu.:192.0 3rd Qu.:110.0 3rd Qu.:72.00 3rd Qu.:41.00
## Max. :219.0 Max. :119.0 Max. :78.00 Max. :45.00
##
## Rear.seat.room Luggage.room Weight Origin Make
## Min. :19.00 Min. : 6.00 Min. :1695 USA :48 Acura Integra: 1
## 1st Qu.:26.00 1st Qu.:12.00 1st Qu.:2620 non-USA:45 Acura Legend : 1
## Median :27.50 Median :14.00 Median :3040 Audi 100 : 1
## Mean :27.83 Mean :13.89 Mean :3073 Audi 90 : 1
## 3rd Qu.:30.00 3rd Qu.:15.00 3rd Qu.:3525 BMW 535i : 1
## Max. :36.00 Max. :22.00 Max. :4105 Buick Century: 1
## NA's :2 NA's :11 (Other) :87