#BÀI TẬP NGÀY 1- GIỚI THIỆU R
## [1] 1217 13## id gender height weight bmi age WBBMC wbbmd fat lean pcfat hypertension
## 1 1 F 150 49 21.8 53 1312 0.88 17802 28600 37.3 0
## 2 2 M 165 52 19.1 65 1309 0.84 8381 40229 16.8 1
## 3 3 F 157 57 23.1 64 1230 0.84 19221 36057 34.0 1
## 4 4 F 156 53 21.8 56 1171 0.80 17472 33094 33.8 1
## 5 5 M 160 51 19.9 54 1681 0.98 7336 40621 14.8 0
## 6 6 F 153 47 20.1 52 1358 0.91 14904 30068 32.2 1
## diabetes
## 1 1
## 2 0
## 3 0
## 4 0
## 5 0
## 6 0## id gender height weight bmi age WBBMC wbbmd fat lean pcfat
## 1212 1222 F 153 50 21.4 59 1309 0.87 18328 29147 37.6
## 1213 1223 F 150 44 19.6 44 1474 0.95 12906 28534 30.1
## 1214 1224 F 148 51 23.3 58 1522 0.97 14938 33931 29.6
## 1215 1225 F 149 50 22.5 57 1409 0.93 16777 30598 34.4
## 1216 1226 F 144 49 23.6 67 1266 0.90 20094 27272 41.3
## 1217 1227 F 141 45 22.6 58 1228 0.91 14567 28111 33.2
## hypertension diabetes
## 1212 1 0
## 1213 0 1
## 1214 0 0
## 1215 1 0
## 1216 1 0
## 1217 0 0## id gender height weight
## Min. : 1.0 Length:1217 Min. :136.0 Min. :34.00
## 1st Qu.: 309.0 Class :character 1st Qu.:151.0 1st Qu.:49.00
## Median : 615.0 Mode :character Median :155.0 Median :54.00
## Mean : 614.5 Mean :156.7 Mean :55.14
## 3rd Qu.: 921.0 3rd Qu.:162.0 3rd Qu.:61.00
## Max. :1227.0 Max. :185.0 Max. :95.00
## bmi age WBBMC wbbmd fat
## Min. :14.5 Min. :13.00 Min. : 695 Min. :0.650 Min. : 4277
## 1st Qu.:20.2 1st Qu.:35.00 1st Qu.:1481 1st Qu.:0.930 1st Qu.:13768
## Median :22.2 Median :48.00 Median :1707 Median :1.010 Median :16955
## Mean :22.4 Mean :47.15 Mean :1725 Mean :1.009 Mean :17288
## 3rd Qu.:24.3 3rd Qu.:58.00 3rd Qu.:1945 3rd Qu.:1.090 3rd Qu.:20325
## Max. :37.1 Max. :88.00 Max. :3040 Max. :1.350 Max. :40825
## lean pcfat hypertension diabetes
## Min. :19136 Min. : 9.2 Min. :0.000 Min. :0.0000
## 1st Qu.:30325 1st Qu.:27.0 1st Qu.:0.000 1st Qu.:0.0000
## Median :33577 Median :32.4 Median :1.000 Median :0.0000
## Mean :35463 Mean :31.6 Mean :0.507 Mean :0.1109
## 3rd Qu.:39761 3rd Qu.:36.8 3rd Qu.:1.000 3rd Qu.:0.0000
## Max. :63059 Max. :48.4 Max. :1.000 Max. :1.0000### 5.1. Mã hóa biến gender (F/M) thành biến sex với giá trị 0/1 (0=M, 1=F)
ob$sex <- ifelse(ob$gender == "M", 0, 1)
table(ob$sex)##
## 0 1
## 355 862### 5.2. Mã hóa biến bmi thành biến obese với 4 nhóm
ob$obese <- cut(ob$bmi,
breaks = c(-Inf, 18.5, 25, 30, Inf),
labels = c("Thieu can", "Binh thuong", "Thua can", "Beo phi"))
table(ob$obese)##
## Thieu can Binh thuong Thua can Beo phi
## 112 875 215 15### 5.3. Tạo biến lean.kg và fat.kg
ob$lean.kg <- ob$lean / 1000
ob$fat.kg <- ob$fat / 1000
head(ob[, c("id", "lean.kg", "fat.kg")])## id lean.kg fat.kg
## 1 1 28.600 17.802
## 2 2 40.229 8.381
## 3 3 36.057 19.221
## 4 4 33.094 17.472
## 5 5 40.621 7.336
## 6 6 30.068 14.904### 5.4. Tạo tập dữ liệu men.overweight (nam giới BMI ≥ 25)
men.overweight <- subset(ob, sex == 0 & bmi >= 25)
dim(men.overweight)## [1] 85 17## id gender height weight bmi age WBBMC wbbmd fat lean pcfat hypertension
## 16 16 M 150 70 31.1 49 2084 1.00 16540 49512 24.3 1
## 18 18 M 158 65 26.0 49 2557 1.29 11716 45567 19.6 1
## 19 19 M 162 72 27.4 66 1535 0.86 25416 44577 35.5 1
## 26 26 M 172 78 26.4 52 1991 0.95 19772 55200 25.7 0
## 40 40 M 171 75 25.6 51 2192 1.13 18188 51801 25.2 1
## 69 69 M 168 80 28.3 53 2043 1.06 17907 54594 24.0 0
## diabetes sex obese lean.kg fat.kg
## 16 0 0 Beo phi 49.512 16.540
## 18 0 0 Thua can 45.567 11.716
## 19 0 0 Thua can 44.577 25.416
## 26 0 0 Thua can 55.200 19.772
## 40 0 0 Thua can 51.801 18.188
## 69 0 0 Thua can 54.594 17.907### 5.5. Tạo tập dữ liệu demo với 6 biến cơ bản
demo <- subset(ob, select = c(id, age, gender, height, weight, pcfat))
head(demo)## id age gender height weight pcfat
## 1 1 53 F 150 49 37.3
## 2 2 65 M 165 52 16.8
## 3 3 64 F 157 57 34.0
## 4 4 56 F 156 53 33.8
## 5 5 54 M 160 51 14.8
## 6 6 52 F 153 47 32.2