> data.frame(c$birthrate, c$birthCat) c.birthrate c.birthCat 1 46.0 2 2 45.0 2 3 44.0 2 4 47.0 2 5 52.0 2 6 19.0 1 7 46.0 2 8 52.0 2 9 46.0 2 10 50.0 2 11 51.0 2 12 48.0 2 13 41.0 2 14 46.0 2 15 44.0 2 16 44.0 2 17 42.0 2 18 43.0 2 19 28.0 1 20 45.0 2 21 31.0 1 22 33.0 2 23 36.0 2 24 30.0 1 25 44.0 2 26 26.0 1 27 36.0 2 28 35.0 2 29 45.0 2 30 35.0 2 31 49.0 2 32 50.0 2 33 46.0 2 34 46.0 2 35 45.0 2 36 51.0 2 37 49.0 2 38 58.0 2 39 46.0 2 40 44.0 2 41 46.0 2 42 48.0 2 43 18.0 1 44 27.0 1 45 43.0 2 46 24.0 1 47 21.0 1 48 27.0 1 49 33.0 2 50 34.0 2 51 38.0 2 52 29.0 1 53 37.0 2 54 26.0 1 55 20.0 1 56 34.0 2 57 26.0 1 58 21.0 1 59 24.0 1 60 28.0 1 61 21.0 1 62 33.0 2 63 28.0 1 64 17.0 1 65 28.0 1 66 14.0 1 67 14.0 1 68 22.0 1 69 10.0 1 70 24.0 1 71 15.0 1 72 34.0 2 73 37.0 2 74 26.0 1 75 44.0 2 76 30.0 1 77 29.0 1 78 18.0 1 79 20.0 1 80 29.0 1 81 44.0 2 82 36.0 2 83 40.0 2 84 30.0 1 85 44.0 2 86 38.0 2 87 43.0 2 88 21.0 1 89 45.0 2 90 21.0 1 91 46.7 2 92 32.0 1 93 28.0 1 94 NA NA 95 38.0 2 96 44.0 2 97 28.0 1 98 20.0 1 99 51.0 2 100 13.0 1 101 12.0 1 102 14.0 1 103 14.0 1 104 12.0 1 105 12.0 1 106 15.0 1 107 14.0 1 108 13.0 1 109 14.0 1 110 23.0 1 111 11.0 1 112 11.0 1 113 12.0 1 114 11.0 1 115 12.0 1 116 10.0 1 117 13.0 1 118 13.0 1 119 12.0 1 120 15.0 1 121 15.0 1 122 34.0 2 > names(c) [1] "country" "pop92" "urban" "gdp" "lifeexpm" "lifeexpf" "birthrate" "deathrate" "infmr" [10] "fertrate" "region" "develop" "radio" "phone" "hospbed" "docs" "lndocs" "lnradio" [19] "lnphone" "lngdp" > c$region [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 5 5 5 5 5 5 [37] 5 5 5 5 5 5 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 9 9 10 10 10 10 10 [73] 11 11 11 11 11 11 11 11 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 13 13 13 14 14 14 14 15 15 15 15 15 [109] 15 16 16 16 16 16 17 17 17 17 17 18 18 18 > > c$birthrate [1] 46.0 45.0 44.0 47.0 52.0 19.0 46.0 52.0 46.0 50.0 51.0 48.0 41.0 46.0 44.0 44.0 42.0 43.0 28.0 45.0 31.0 [22] 33.0 36.0 30.0 44.0 26.0 36.0 35.0 45.0 35.0 49.0 50.0 46.0 46.0 45.0 51.0 49.0 58.0 46.0 44.0 46.0 48.0 [43] 18.0 27.0 43.0 24.0 21.0 27.0 33.0 34.0 38.0 29.0 37.0 26.0 20.0 34.0 26.0 21.0 24.0 28.0 21.0 33.0 28.0 [64] 17.0 28.0 14.0 14.0 22.0 10.0 24.0 15.0 34.0 37.0 26.0 44.0 30.0 29.0 18.0 20.0 29.0 44.0 36.0 40.0 30.0 [85] 44.0 38.0 43.0 21.0 45.0 21.0 46.7 32.0 28.0 NA 38.0 44.0 28.0 20.0 51.0 13.0 12.0 14.0 14.0 12.0 12.0 [106] 15.0 14.0 13.0 14.0 23.0 11.0 11.0 12.0 11.0 12.0 10.0 13.0 13.0 12.0 15.0 15.0 34.0