chương trình tập huấn
Nguyễn Hải Trường
2024-09-08
Bài tập ngày 1
Về việc tậo dữ liệu
việc 1 đọc dữ liệu t=fi
``` r
ob=read.csv("C:\\Users\\Admin\\Desktop\\học phân tích số liệu\\obesity data.csv")
read.csv("C:\\Users\\Admin\\Desktop\\học phân tích số liệu\\obesity data.csv")## id gender height weight bmi age WBBMC wbbmd fat lean pcfat
## 1 1 F 150 49 21.8 53 1312 0.88 17802 28600 37.30000
## 2 2 M 165 52 19.1 65 1309 0.84 8381 40229 16.80000
## 3 3 F 157 57 23.1 64 1230 0.84 19221 36057 34.00000
## 4 4 F 156 53 21.8 56 1171 0.80 17472 33094 33.80000
## 5 5 M 160 51 19.9 54 1681 0.98 7336 40621 14.80000
## 6 6 F 153 47 20.1 52 1358 0.91 14904 30068 32.20000
## 7 7 F 155 58 24.1 66 1546 0.96 20233 35599 35.30000
## 8 8 M 167 65 23.3 50 2276 1.11 17749 43301 28.00000
## 9 9 M 165 54 19.8 61 1778 0.96 10795 38613 21.10000
## 10 10 F 158 60 24.0 58 1404 0.86 21365 35534 36.60000
## 11 11 F 155 48 20.0 36 1889 1.06 13458 32261 28.30000
## 12 12 M 165 65 23.9 50 1878 0.97 18100 43391 28.60000
## 13 13 F 155 40 16.6 78 1001 0.78 11865 26264 30.30000
## 14 14 M 158 57 22.8 84 1772 1.02 13398 40313 24.10000
## 15 15 F 154 59 24.9 43 1717 1.03 19154 37239 33.00000
## 16 16 M 150 70 31.1 49 2084 1.00 16540 49512 24.30000
## 17 17 F 150 50 22.2 49 1636 1.01 20255 27891 40.70000
## 18 18 M 158 65 26.0 49 2557 1.29 11716 45567 19.60000
## 19 19 M 162 72 27.4 66 1535 0.86 25416 44577 35.50000
## 20 20 M 161 55 21.2 58 1807 1.02 10020 40184 19.30000
## 21 21 F 145 54 25.7 77 1446 0.96 22661 29054 42.60000
## 22 22 F 158 65 26.0 42 1917 1.10 20924 40856 32.80000
## 23 23 F 156 39 16.0 70 1057 0.80 7841 28857 20.80000
## 24 24 M 163 66 24.8 56 1920 1.01 15034 44674 24.40000
## 25 25 F 154 57 24.0 42 1803 1.06 20217 34679 35.70000
## 26 26 M 172 78 26.4 52 1991 0.95 19772 55200 25.70000
## 27 27 F 155 55 22.9 82 1106 0.76 20108 32840 37.20000
## 28 28 M 171 68 23.3 51 2051 1.03 17914 46658 26.90000
## 29 29 F 160 64 25.0 52 2058 1.13 23529 38137 36.90000
## 30 30 F 151 47 20.6 41 1435 0.92 16083 27801 35.50000
## 31 31 M 155 50 20.8 58 1899 1.08 12744 35883 25.20000
## 32 32 F 151 55 24.1 57 1685 1.02 22460 29334 42.00000
## 33 33 M 175 54 17.6 40 2004 1.01 8650 41762 16.50000
## 34 34 F 143 38 18.6 82 827 0.66 15101 21856 40.00000
## 35 35 F 158 40 16.0 55 1317 0.90 11333 26945 28.60000
## 36 36 M 165 65 23.9 52 2117 1.09 16646 45103 26.10000
## 37 37 M 167 58 20.8 61 2177 1.19 16464 38917 28.60000
## 38 38 F 155 50 20.8 64 1199 0.84 18828 28272 39.00000
## 39 39 F 151 58 25.4 62 1473 0.88 24014 30898 42.60000
## 40 40 M 171 75 25.6 51 2192 1.13 18188 51801 25.20000
## 41 41 M 163 55 20.7 55 1874 0.99 12017 41137 21.80000
## 42 42 M 171 67 22.9 38 2398 1.12 15761 46853 24.20000
## 43 43 M 160 54 21.1 76 1433 0.92 14664 37121 27.60000
## 44 44 F 153 44 18.8 58 1470 0.96 15103 27805 34.00000
## 45 45 F 151 64 28.1 49 1517 0.92 28282 32478 45.40000
## 46 46 F 144 45 21.7 73 1286 0.90 18915 29627 38.00000
## 47 47 F 155 50 20.8 33 1689 1.01 17078 30623 34.60000
## 48 48 F 145 48 22.8 46 1787 1.13 17192 28227 36.40000
## 49 49 M 156 45 18.5 77 1453 0.91 16417 33349 32.10000
## 50 50 F 154 49 20.7 70 1650 0.95 21280 33300 37.80000
## 51 51 F 141 52 26.2 53 1265 0.91 21039 28159 41.70000
## 52 52 F 158 56 22.4 52 1554 0.96 17414 35947 31.70000
## 53 53 F 156 67 27.5 43 2161 1.21 30335 34807 45.10000
## 54 54 F 155 47 19.6 16 1691 1.07 12957 33439 26.90000
## 55 55 F 140 35 17.9 55 1058 0.83 9170 23640 27.10000
## 56 56 F 156 54 22.2 64 1287 0.84 21264 30774 39.90000
## 57 57 F 154 43 18.1 48 1721 1.01 17174 32994 33.10000
## 58 58 M 162 55 21.0 62 1961 1.11 12946 34707 26.10000
## 59 59 F 153 59 25.2 47 1529 0.93 25208 31463 43.30000
## 60 60 F 163 52 19.6 54 1304 0.86 19403 30790 37.70000
## 61 61 F 143 43 21.0 63 944 0.76 13323 28416 31.20000
## 62 62 M 155 42 17.5 65 1438 0.95 8737 31439 21.00000
## 63 63 F 154 50 21.1 66 1367 0.84 19387 28710 39.20000
## 64 64 F 151 53 23.2 69 1124 0.77 20365 30440 39.20000
## 65 65 F 150 60 26.7 79 1487 0.89 22229 35464 37.60000
## 66 66 F 144 43 20.7 70 910 0.72 19581 26819 41.40000
## 67 67 F 155 51 21.2 50 1645 1.02 15512 33609 30.60000
## 68 68 F 152 63 27.3 24 1616 0.99 28520 33418 44.90000
## 69 69 M 168 80 28.3 53 2043 1.06 17907 54594 24.00000
## 70 70 F 160 50 19.5 46 1866 1.07 14150 33577 28.50000
## 71 71 M 160 45 17.6 82 1322 0.90 10937 30792 24.30444
## 72 72 F 150 58 25.8 47 1729 1.05 21423 33523 37.80000
## 73 73 M 165 60 22.0 52 1751 0.94 14091 42051 24.30000
## 74 74 M 172 58 19.6 42 2036 1.03 14169 40582 25.00000
## 75 75 M 160 54 21.1 64 1837 1.05 12189 40641 22.30000
## 76 76 F 151 57 25.0 54 1345 0.85 24067 30986 42.70000
## 77 77 F 153 56 23.9 52 1466 0.90 22297 30734 40.90000
## 78 78 F 151 48 21.1 58 1407 0.92 16431 29808 34.50000
## 79 79 F 155 52 21.6 52 1878 1.11 16140 33096 31.60000
## 80 80 F 149 49 22.1 58 1547 0.98 9594 29953 23.30000
## 81 81 F 158 62 24.8 33 2088 1.16 21265 37809 34.80000
## 82 82 F 152 52 22.5 60 1558 0.97 26395 37313 40.40000
## 83 83 F 150 56 24.9 40 1464 0.90 18611 35337 33.60000
## 84 84 F 152 41 17.7 40 1430 0.95 14430 24687 35.60000
## 85 85 F 148 42 19.2 59 1236 0.92 12405 27500 30.20000
## 86 87 F 151 51 22.4 78 1655 1.05 18166 30180 36.30000
## 87 88 F 155 45 18.7 39 1413 0.91 15434 27455 34.80000
## 88 89 M 170 68 23.5 28 2586 1.19 9688 50976 15.30000
## 89 90 F 156 57 23.4 64 1412 0.88 27241 29641 46.70000
## 90 91 M 168 61 21.6 51 2035 1.01 13600 43173 23.10000
## 91 92 F 151 51 22.4 61 1121 0.78 20464 33941 36.60000
## 92 93 F 159 60 23.7 58 1915 1.05 23304 34465 39.00000
## 93 94 F 156 56 23.0 57 1541 0.96 18949 31078 37.00000
## 94 95 F 155 57 23.7 46 1856 1.09 20004 32655 36.70000
## 95 96 F 161 55 21.2 51 1533 0.89 17008 34735 31.90000
## 96 97 F 157 46 18.7 23 1552 0.94 11817 31087 26.60000
## 97 98 F 158 53 21.2 59 1157 0.74 21623 29227 41.60000
## 98 99 F 160 48 18.8 55 1202 0.79 15774 31475 32.60000
## 99 100 M 169 69 24.2 59 2356 1.18 17611 47344 26.20000
## 100 101 F 148 42 19.2 49 1646 1.05 10541 29186 25.50000
## 101 102 F 145 45 21.4 57 1299 0.94 16511 26287 37.40000
## 102 103 F 155 51 21.2 55 1634 0.97 16897 31713 33.60000
## 103 104 F 155 60 25.0 54 2005 1.13 24471 32468 41.50000
## 104 105 F 154 66 27.8 66 1675 1.00 25729 38617 39.00000
## 105 106 F 164 46 17.1 64 1370 0.90 15050 30619 32.00000
## 106 107 M 170 75 26.0 45 2109 1.02 20800 51061 28.10000
## 107 108 F 157 54 21.9 51 1736 1.02 21100 31009 39.20000
## 108 109 M 152 55 23.8 61 1970 1.11 10233 41439 19.10000
## 109 110 F 149 50 22.5 43 1571 1.03 16766 30285 34.50000
## 110 111 F 153 45 19.2 59 1585 1.05 13916 28794 31.40000
## 111 112 F 154 55 23.2 62 1697 0.97 25426 36807 39.80000
## 112 113 F 156 72 29.6 64 1920 1.12 31926 38161 44.30000
## 113 114 F 148 43 19.6 72 1073 0.76 12658 29373 29.40000
## 114 115 F 145 45 21.4 74 997 0.76 15131 27648 34.60000
## 115 116 F 145 51 24.3 74 1252 0.88 21588 27472 42.90000
## 116 117 F 155 55 22.9 67 1270 0.85 18917 33440 35.30000
## 117 118 F 150 50 22.2 44 1196 0.86 19912 29870 39.10000
## 118 119 F 155 61 25.4 41 1726 1.01 20008 38453 33.20000
## 119 120 F 153 45 19.2 40 1404 0.92 13683 28610 31.30000
## 120 121 F 150 59 26.2 77 1268 0.89 28528 30668 47.20000
## 121 122 F 152 51 22.1 54 1065 0.75 11667 25317 30.70000
## 122 123 F 152 51 22.1 44 1423 0.90 18875 29694 37.80000
## 123 124 F 155 55 22.9 50 1911 1.10 17806 35044 32.50000
## 124 125 F 153 47 20.1 39 1819 1.10 16898 28576 35.70000
## 125 126 F 141 46 23.1 62 1085 0.80 14501 29624 32.10000
## 126 127 F 158 49 19.6 68 1014 0.71 17016 29218 36.00000
## 127 128 F 162 55 21.0 72 1313 0.82 20834 32521 38.10000
## 128 129 F 153 41 17.5 34 1618 1.03 11024 27680 27.30000
## 129 130 F 151 57 25.0 43 1689 1.02 21875 34088 37.90000
## 130 131 F 157 60 24.3 49 1991 1.10 25422 35195 40.60000
## 131 132 F 152 52 22.5 57 1155 0.79 17663 32980 34.10000
## 132 133 F 150 44 19.6 42 1379 0.92 13838 28338 31.80000
## 133 134 F 150 48 21.3 80 695 0.65 13823 26787 33.50000
## 134 135 F 162 59 22.5 54 1742 0.97 20571 35880 35.30000
## 135 136 M 160 52 20.3 72 1490 0.84 16702 32172 33.20000
## 136 137 F 160 63 24.6 38 1981 1.09 25393 33482 41.70000
## 137 138 M 164 74 27.5 71 2233 1.09 20673 49212 28.70000
## 138 139 F 151 46 20.2 20 1428 0.91 14759 28878 32.80000
## 139 140 F 165 56 20.6 19 1771 0.98 18843 34459 34.20000
## 140 141 F 156 42 17.3 32 1474 1.00 14257 26117 34.10000
## 141 142 F 157 43 17.4 63 978 0.77 13952 27268 33.10000
## 142 143 F 157 53 21.5 44 1856 1.08 20108 30245 38.50000
## 143 144 F 155 45 18.7 38 1388 0.92 14167 28660 32.00000
## 144 145 M 163 47 17.7 39 1791 1.04 9215 35446 19.80000
## 145 146 M 166 60 21.8 50 1983 1.06 18507 41428 29.90000
## 146 147 M 160 59 23.0 54 1876 1.02 12261 41620 22.00000
## 147 148 M 167 76 27.3 40 2184 1.08 25043 47546 33.50000
## 148 149 F 150 40 17.8 44 1588 1.02 10367 27127 26.50000
## 149 150 M 163 56 21.1 56 1752 1.01 14295 38355 26.30000
## 150 151 F 149 49 22.1 38 1608 1.01 20098 27423 40.90000
## 151 152 F 153 58 24.8 54 1383 0.91 24967 30472 43.90000
## 152 153 M 166 58 21.0 63 1740 0.99 17659 37210 31.20000
## 153 154 F 155 54 22.5 41 1620 1.01 17337 33655 33.00000
## 154 155 M 165 56 20.6 46 1847 1.02 11440 40969 21.10000
## 155 156 M 159 57 22.5 35 2375 1.22 9666 44214 17.20000
## 156 157 M 162 58 22.1 45 2004 1.07 16533 38334 29.10000
## 157 158 M 162 69 26.3 77 1691 0.95 22422 42276 33.80000
## 158 159 M 163 75 28.2 53 2357 1.18 26875 44775 36.30000
## 159 160 F 160 50 19.5 71 1271 0.86 15614 32300 31.70000
## 160 161 M 165 70 25.7 63 2206 1.12 19645 44447 29.60000
## 161 162 M 168 55 19.5 17 2152 1.10 11280 40368 21.00000
## 162 163 M 165 70 25.7 50 1976 1.07 21957 45011 31.80000
## 163 164 F 153 46 19.7 43 1789 1.07 12413 31046 27.40000
## 164 165 F 150 50 22.2 50 1563 0.98 15480 31448 31.90000
## 165 166 F 164 56 20.8 39 1896 1.04 17546 35164 32.10000
## 166 167 F 150 59 26.2 60 1441 0.94 26762 29464 46.40000
## 167 168 F 159 65 25.7 52 2004 1.08 24307 35613 39.30000
## 168 170 F 147 47 21.8 45 1587 1.02 17713 28959 36.70000
## 169 171 F 160 61 23.8 46 1759 1.00 24229 35634 39.30000
## 170 172 F 157 53 21.5 41 1737 1.00 19557 30884 37.50000
## 171 173 M 167 64 22.9 44 1857 1.01 19803 42125 31.00000
## 172 174 M 160 53 20.7 22 1771 0.99 10123 37192 20.60000
## 173 175 F 153 57 24.3 49 1632 1.03 19799 30263 38.32000
## 174 176 F 151 45 19.7 20 1546 1.02 15887 27194 35.60000
## 175 177 M 160 56 21.9 23 1837 1.07 15440 38188 27.80000
## 176 178 M 168 71 25.2 20 2549 1.19 19465 49352 27.30000
## 177 179 M 162 38 14.5 55 1671 0.96 5894 29887 15.70000
## 178 180 M 160 66 25.8 74 1877 1.06 21498 41784 33.00000
## 179 181 M 168 75 26.6 23 1787 0.95 29190 44377 38.70000
## 180 182 F 153 46 19.7 24 1454 0.91 15898 28108 35.00000
## 181 183 M 160 54 21.1 65 2095 1.17 10692 41477 19.70000
## 182 184 F 148 47 21.5 39 1506 0.93 12479 32331 26.90000
## 183 185 F 161 66 25.5 35 2419 1.19 24394 39206 37.00000
## 184 186 M 150 39 17.3 65 1261 0.86 6469 29905 17.20000
## 185 187 F 152 61 26.4 38 2105 1.16 24854 36772 39.00000
## 186 188 M 175 52 17.0 22 2041 1.03 7935 41434 15.40000
## 187 189 F 152 53 22.9 52 1577 0.96 20563 30733 38.90000
## 188 190 F 141 44 22.1 69 1525 0.93 20715 30949 38.90000
## 189 191 F 148 54 24.7 68 1409 0.94 18307 33251 34.60000
## 190 192 M 155 48 20.0 62 1394 0.91 10015 35503 21.30000
## 191 193 M 164 67 24.9 41 2157 1.04 18453 46387 27.50000
## 192 194 F 151 45 19.7 37 1579 1.02 15754 27138 35.40000
## 193 195 F 145 55 26.2 69 1259 0.87 17347 35889 31.80000
## 194 196 F 148 51 23.3 52 1352 0.92 20774 29271 40.40000
## 195 197 M 171 62 21.2 27 2104 1.04 13277 46105 21.60000
## 196 198 M 162 51 19.4 35 2028 1.06 6215 41535 12.50000
## 197 199 F 168 48 17.0 48 1757 1.03 13602 32274 28.60000
## 198 200 M 162 53 20.2 44 1533 0.87 10894 39729 20.90000
## 199 202 F 152 54 23.4 46 1692 1.05 20584 33280 37.10000
## 200 203 M 160 47 18.4 34 1844 1.05 4471 39459 9.80000
## 201 204 F 154 52 21.9 50 1601 0.97 18469 31292 36.00000
## 202 205 M 158 60 24.0 55 1841 0.99 15378 41957 26.00000
## 203 206 M 175 54 17.6 19 2089 1.07 5740 44569 11.00000
## 204 207 F 160 56 21.9 41 1791 1.02 19138 31174 36.70000
## 205 208 M 161 57 22.0 61 1936 1.02 10402 43820 18.50000
## 206 209 F 155 55 22.9 41 1984 1.10 17982 35598 32.40000
## 207 210 M 158 65 26.0 50 1995 1.01 16603 46396 25.50000
## 208 211 F 154 62 26.1 75 1463 0.92 24721 33502 41.40000
## 209 212 M 164 62 23.1 46 1693 0.89 14030 44836 23.20000
## 210 213 M 164 53 19.7 51 2147 1.12 4643 43954 9.20000
## 211 214 M 164 68 25.3 50 1670 0.92 17688 47580 26.40000
## 212 215 F 150 43 19.1 25 1311 0.89 13669 26638 32.80000
## 213 216 F 152 53 22.9 52 1280 0.87 19564 30783 37.90000
## 214 217 F 160 52 20.3 46 1545 0.93 15305 34867 29.60000
## 215 218 F 146 36 16.9 60 1112 0.85 7713 27745 21.10000
## 216 219 F 157 41 16.6 37 1676 1.06 11066 28601 26.80000
## 217 220 M 164 72 26.8 43 2332 1.18 20807 47419 29.50000
## 218 221 F 152 57 24.7 57 1381 0.87 23247 30942 41.80000
## 219 222 F 147 42 19.4 35 1593 1.01 13068 27128 31.30000
## 220 223 F 149 49 22.1 56 1419 0.96 14548 31244 30.80000
## 221 224 F 154 45 19.0 51 1627 1.06 12649 30348 28.30000
## 222 225 M 164 73 27.1 50 2591 1.23 19742 49762 27.40000
## 223 226 F 153 53 22.6 45 1604 0.97 17992 32545 34.50000
## 224 227 F 149 54 24.3 44 1931 1.14 19132 32295 35.90000
## 225 228 F 146 43 20.2 50 1828 1.19 12360 27531 29.60000
## 226 229 F 157 50 20.3 37 1642 1.02 17339 30849 34.80000
## 227 230 F 143 52 25.4 73 1118 0.81 18841 31538 36.60000
## 228 231 F 148 50 22.8 49 1390 0.94 19835 29114 39.40000
## 229 232 F 146 65 30.5 47 1736 1.07 25734 36949 39.90000
## 230 233 F 150 53 23.6 48 1863 1.09 15977 34765 30.40000
## 231 234 F 158 69 27.6 52 2126 1.17 28248 38353 41.10000
## 232 235 F 158 63 25.2 53 2094 1.10 20514 39610 33.00000
## 233 236 F 159 58 22.9 40 1669 0.96 21282 34420 37.10000
## 234 237 F 146 55 25.8 71 1420 0.90 22157 31461 40.30000
## 235 238 F 142 60 29.8 70 1135 0.81 27508 30301 46.70000
## 236 239 F 152 46 19.9 44 1602 0.99 11788 32193 25.90000
## 237 240 F 161 50 19.3 33 1707 1.01 16027 32056 32.20000
## 238 241 M 161 70 27.0 40 2266 1.16 15687 50262 23.00000
## 239 242 M 157 58 23.5 63 1980 1.03 13109 42272 22.90000
## 240 243 F 145 52 24.7 45 1689 1.07 18180 31803 35.20000
## 241 244 F 144 41 19.8 41 1559 1.04 12838 26266 31.60000
## 242 245 F 151 56 24.6 47 1763 1.05 23600 31079 41.80000
## 243 246 F 164 66 24.5 43 2211 1.10 26233 37817 39.60000
## 244 247 F 149 48 21.6 46 1598 1.05 19063 26116 40.80000
## 245 248 F 145 35 16.6 80 1147 0.82 6242 26459 18.40000
## 246 249 F 154 44 18.6 48 1384 0.95 13221 28601 30.60000
## 247 250 F 158 65 26.0 51 2122 1.16 25610 37576 39.20000
## 248 251 F 157 66 26.8 39 1663 0.98 25807 37831 39.50000
## 249 252 F 160 51 19.9 49 1636 0.99 19325 29354 38.40000
## 250 253 F 152 50 21.6 63 1406 0.92 19631 28306 39.80000
## 251 254 F 152 51 22.1 55 1394 0.89 20330 27466 41.30000
## 252 255 F 150 43 19.1 40 1619 1.02 13233 27180 31.50000
## 253 256 F 148 48 21.9 62 1297 0.92 17697 28478 37.30000
## 254 257 F 152 52 22.5 42 1778 1.05 20371 29156 39.70000
## 255 258 F 153 52 22.2 55 1488 0.96 21872 28577 42.10000
## 256 259 F 153 57 24.3 52 1454 0.89 23352 31632 41.40000
## 257 260 F 154 47 19.8 62 1347 0.88 16362 29235 34.90000
## 258 261 M 173 60 20.0 22 1915 0.94 12754 45421 21.20000
## 259 262 F 162 70 26.7 74 1631 0.91 23804 42697 34.90000
## 260 263 F 153 50 21.4 53 1408 0.92 16539 30766 34.00000
## 261 264 F 150 53 23.6 48 1530 0.98 21317 28738 41.30000
## 262 265 F 152 60 26.0 56 1245 0.83 24765 34056 41.20000
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## 264 267 M 154 55 23.2 78 1368 0.86 18868 32762 35.60000
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## 272 275 F 159 58 22.9 42 1845 1.03 20029 34853 35.30000
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## 285 288 F 155 47 19.6 43 1786 1.13 16967 30648 34.30000
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## 291 294 F 143 50 24.5 82 1190 0.85 20490 28360 40.90000
## 292 295 M 170 72 24.9 53 2602 1.23 18990 48479 27.10000
## 293 297 F 158 59 23.6 50 1890 1.08 22366 32899 39.10000
## 294 298 F 153 52 22.2 80 1226 0.86 17826 26171 39.40000
## 295 299 F 155 57 23.7 50 1644 1.00 25327 31250 43.50000
## 296 300 M 168 63 22.3 47 1724 0.93 15715 43685 25.70000
## 297 301 F 150 52 23.1 56 1838 1.09 18090 31342 35.30000
## 298 302 F 150 44 19.6 47 1465 0.98 13365 27966 31.20000
## 299 303 F 158 51 20.4 49 1862 1.09 16095 33216 31.50000
## 300 304 F 150 51 22.7 44 1396 0.95 16867 32024 33.50000
## 301 305 F 153 64 27.3 53 1816 1.03 24957 37406 38.90000
## 302 306 M 159 55 21.8 47 1994 1.09 10951 41582 20.10000
## 303 307 M 162 65 24.8 23 2230 1.09 13658 48233 21.30000
## 304 308 F 153 48 20.5 55 1461 0.97 14635 27176 33.80000
## 305 309 M 180 68 21.0 21 2295 1.04 15492 49184 23.10000
## 306 310 F 155 46 19.1 79 1283 0.88 15315 29393 33.30000
## 307 311 F 148 55 25.1 39 1760 1.13 18374 34085 33.90000
## 308 312 F 155 62 25.8 52 1876 1.08 22005 38190 35.50000
## 309 313 F 156 65 26.7 59 1650 0.96 24892 38453 38.30000
## 310 314 M 162 70 26.7 36 2030 1.04 19460 48026 28.00000
## 311 315 M 157 73 29.6 34 2540 1.20 23414 46376 32.40000
## 312 316 F 153 48 20.5 26 1821 1.07 16084 29918 33.60000
## 313 317 F 155 52 21.6 56 1457 0.90 20020 30725 38.30000
## 314 318 M 165 60 22.0 39 1812 0.96 15218 42522 25.60000
## 315 319 M 170 60 20.8 44 2029 1.05 11494 44596 19.80000
## 316 320 M 176 62 20.0 19 2027 1.01 19459 39133 32.10000
## 317 321 F 153 50 21.4 45 1858 1.11 14065 31840 29.40000
## 318 322 M 166 52 18.9 26 2397 1.20 5226 43098 10.30000
## 319 323 F 155 50 20.8 36 1987 1.14 14578 32806 29.50000
## 320 324 F 156 57 23.4 40 1859 1.04 22524 35622 37.50000
## 321 325 F 150 46 20.4 41 1831 1.10 13679 29341 30.50000
## 322 326 F 150 47 20.9 49 1595 1.02 15408 29101 33.40000
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## 1217 0 0library(table1)##
## Attaching package: 'table1'## The following objects are masked from 'package:base':
##
## units, units<-table1(~ age + gender + bmi + WBBMC + wbbmd + fat + lean + hypertension + diabetes, data = ob)| Overall (N=1217) |
|
|---|---|
| age | |
| Mean (SD) | 47.2 (17.3) |
| Median [Min, Max] | 48.0 [13.0, 88.0] |
| gender | |
| F | 862 (70.8%) |
| M | 355 (29.2%) |
| bmi | |
| Mean (SD) | 22.4 (3.06) |
| Median [Min, Max] | 22.2 [14.5, 37.1] |
| WBBMC | |
| Mean (SD) | 1720 (363) |
| Median [Min, Max] | 1710 [695, 3040] |
| wbbmd | |
| Mean (SD) | 1.01 (0.113) |
| Median [Min, Max] | 1.01 [0.650, 1.35] |
| fat | |
| Mean (SD) | 17300 (5210) |
| Median [Min, Max] | 17000 [4280, 40800] |
| lean | |
| Mean (SD) | 35500 (7030) |
| Median [Min, Max] | 33600 [19100, 63100] |
| hypertension | |
| Mean (SD) | 0.507 (0.500) |
| Median [Min, Max] | 1.00 [0, 1.00] |
| diabetes | |
| Mean (SD) | 0.111 (0.314) |
| Median [Min, Max] | 0 [0, 1.00] |
library(ggplot2)
library(gridExtra) p = ggplot(data = ob, aes(x = pcfat, fill = gender))
p1 = p + geom_histogram(col="white") + labs(x = "Tỉ trọng mỡ", y = "Số người", title = "Phân bố tỉ trọng mỡ")
p2 = p + geom_density(alpha = 0.5) + labs(x = "Tỉ trọng mỡ", y = "Số người", title = "Phân bố tỉ trọng mỡ")
grid.arrange(p1, p2, ncol = 2)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
ob$OB[ob$bmi< 18.5] = "Underweight"
ob$OB[ob$bmi>= 18.5 & ob$bmi< 25] = "Normal"
ob$OB[ob$bmi>= 25 & ob$bmi< 30] = "Overweight"
ob$OB[ob$bmi>= 30] = "Obese"
p = ggplot(data = ob, aes(x = OB, fill = OB, col = OB))
p + geom_bar(position = "dodge")
p = ggplot(data = ob, aes(x = OB, y = pcfat, fill = gender, group = gender))
p + geom_bar(stat = "identity", position = "dodge")
women = subset(ob, gender == "F")
dim(women)## [1] 862 14p = ggplot(data = women, aes(x = OB, y = pcfat, fill = OB, col = OB))
p1 = p + geom_boxplot(col = "black") + geom_jitter(alpha = 0.05) + labs(x = "Tình trạng béo phì", y = "Tỉ trọng mỡ (%)") + ggtitle("Tỉ trọng mỡ theo tình trạng béo phì ở nữ")
p1
women$OB.n = factor(women$OB, levels = c("Underweight", "Normal", "Overweight", "Obese"))
p = ggplot(data = women, aes(x = OB.n, y = pcfat, fill = OB.n, col = OB.n))
p2 = p + geom_boxplot(col = "black") + geom_jitter(alpha = 0.05) + labs(x = "Tình trạng béo phì", y = "Tỉ trọng mỡ (%)") + ggtitle("Tỉ trọng mỡ theo tình trạng béo phì ở nữ")
p2
p = ggplot(data = ob, aes(x = bmi, y = pcfat))
p1 = p + geom_point()
p2 = p + geom_point() + geom_smooth()
grid.arrange(p1, p2, ncol = 2)## `geom_smooth()` using method = 'gam' and formula = 'y ~ s(x, bs = "cs")'
p = ggplot(data = ob, aes(x = bmi, y = pcfat, fill = gender, col = gender))
p2 = p + geom_point() + geom_smooth(method = "lm", formula = y ~ x + I(x^2)) + labs(x = "Chỉ số khối cơ thể (kg/m2)", y = "Tỉ trọng mỡ (%)") + ggtitle("Liên quan giữa chỉ số khối cơ thể và tỉ trọng mỡ theo giới tính")
p2
```