Bài Tập Tuần 1

Giải thích - Dataset (infert):Infertility after Spontaneous and Induced Abortion (Tập dữ liệu cho biết tình trạng của việc phá thai tự nhiên và dùng thuốc)

  1. Education: 0 =0-5 years, 1 = 6-11 years, 2 = 12+ years
  2. age age in years of case
  3. parity count
  4. number of prior: 0 = 0; induced abortions:
    1 = 1, 2 = 2 or more
  5. case status: 1 = case, 0 = control
  6. number of prior:
    0 = 0; spontaneous abortions:
    1 = 1, 2 = 2 or more
  7. matched set number 1-83
#Dữ liệu infert
data("infert")

#Gán dữ liệu infert vào i
i <- infert

#Cấu trúc của dataset(infert)
str(infert)
## 'data.frame':    248 obs. of  8 variables:
##  $ education     : Factor w/ 3 levels "0-5yrs","6-11yrs",..: 1 1 1 1 2 2 2 2 2 2 ...
##  $ age           : num  26 42 39 34 35 36 23 32 21 28 ...
##  $ parity        : num  6 1 6 4 3 4 1 2 1 2 ...
##  $ induced       : num  1 1 2 2 1 2 0 0 0 0 ...
##  $ case          : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ spontaneous   : num  2 0 0 0 1 1 0 0 1 0 ...
##  $ stratum       : int  1 2 3 4 5 6 7 8 9 10 ...
##  $ pooled.stratum: num  3 1 4 2 32 36 6 22 5 19 ...
#Đặt tên cho các biến trong dataset
names(i) <- c('E','A','Pa','I','C','Sp','St','Po')
head(i)
##         E  A Pa I C Sp St Po
## 1  0-5yrs 26  6 1 1  2  1  3
## 2  0-5yrs 42  1 1 1  0  2  1
## 3  0-5yrs 39  6 2 1  0  3  4
## 4  0-5yrs 34  4 2 1  0  4  2
## 5 6-11yrs 35  3 1 1  1  5 32
## 6 6-11yrs 36  4 2 1  1  6 36
#Gán biến A trong data(i) vào AGE
AGE <- i$A
AGE
##   [1] 26 42 39 34 35 36 23 32 21 28 29 37 31 29 31 27 30 26 25 44 40 35 28 36 27
##  [26] 40 38 34 28 30 32 34 42 32 39 35 36 34 30 28 39 35 41 37 30 37 28 27 26 38
##  [51] 24 36 27 28 29 36 28 28 28 27 35 25 34 31 26 32 21 28 37 25 32 25 31 38 26
##  [76] 31 31 25 31 34 35 29 23 26 42 39 34 35 36 23 32 21 28 29 37 31 29 31 27 30
## [101] 26 25 44 40 35 28 36 27 40 38 34 28 30 32 34 42 32 39 35 36 34 30 28 39 35
## [126] 41 37 30 37 28 27 26 38 24 36 27 28 29 36 28 28 28 27 35 25 34 31 26 32 21
## [151] 28 37 25 32 25 31 26 31 31 25 31 34 35 29 23 26 42 39 34 35 36 23 32 21 28
## [176] 29 37 31 29 31 27 30 26 25 44 40 35 28 36 27 40 38 34 28 30 32 34 42 32 39
## [201] 35 36 34 30 28 39 35 41 37 30 37 28 27 26 38 24 36 27 28 29 36 28 28 28 27
## [226] 35 25 34 31 26 32 21 28 37 25 32 25 31 38 26 31 31 25 31 34 35 29 23
#LỌc dữ liệu có độ tuổi từ 20 đến 40
AGE20_40 <- AGE[AGE>20&AGE<40]
AGE20_40
##   [1] 26 39 34 35 36 23 32 21 28 29 37 31 29 31 27 30 26 25 35 28 36 27 38 34 28
##  [26] 30 32 34 32 39 35 36 34 30 28 39 35 37 30 37 28 27 26 38 24 36 27 28 29 36
##  [51] 28 28 28 27 35 25 34 31 26 32 21 28 37 25 32 25 31 38 26 31 31 25 31 34 35
##  [76] 29 23 26 39 34 35 36 23 32 21 28 29 37 31 29 31 27 30 26 25 35 28 36 27 38
## [101] 34 28 30 32 34 32 39 35 36 34 30 28 39 35 37 30 37 28 27 26 38 24 36 27 28
## [126] 29 36 28 28 28 27 35 25 34 31 26 32 21 28 37 25 32 25 31 26 31 31 25 31 34
## [151] 35 29 23 26 39 34 35 36 23 32 21 28 29 37 31 29 31 27 30 26 25 35 28 36 27
## [176] 38 34 28 30 32 34 32 39 35 36 34 30 28 39 35 37 30 37 28 27 26 38 24 36 27
## [201] 28 29 36 28 28 28 27 35 25 34 31 26 32 21 28 37 25 32 25 31 38 26 31 31 25
## [226] 31 34 35 29 23
#Gán biến Pa trong data(i) vào PAR
PAR <- i$Pa
PAR
##   [1] 6 1 6 4 3 4 1 2 1 2 2 4 1 3 2 2 5 1 3 1 1 2 2 1 2 2 2 3 4 4 1 2 1 2 1 2 1
##  [38] 3 3 1 3 1 1 2 1 1 2 4 2 3 3 5 3 1 2 2 2 2 1 2 2 1 1 2 2 1 1 3 3 1 1 1 1 6
##  [75] 2 1 2 1 1 1 2 1 1 6 1 6 4 3 4 1 2 1 2 2 4 1 3 2 2 5 1 3 1 1 2 2 1 2 2 2 3
## [112] 4 4 1 2 1 2 1 2 1 3 3 1 3 1 1 2 1 1 2 4 2 3 3 5 3 1 2 2 2 2 1 2 2 1 1 2 2
## [149] 1 1 3 3 1 1 1 1 2 1 2 1 1 1 2 1 1 6 1 6 4 3 4 1 2 1 2 2 4 1 3 2 2 5 1 3 1
## [186] 1 2 2 1 2 2 2 3 4 4 1 2 1 2 1 2 1 3 3 1 3 1 1 2 1 1 2 4 2 3 3 5 3 1 2 2 2
## [223] 2 1 2 2 1 1 2 2 1 1 3 3 1 1 1 1 6 2 1 2 1 1 1 2 1 1
#Lọc dữ liệu có Age lơn hơn 30 và Parity lớn hơn 3
AGE30PAR3 <- i[i$A>30|i$Pa>3,]
AGE30PAR3
##           E  A Pa I C Sp St Po
## 1    0-5yrs 26  6 1 1  2  1  3
## 2    0-5yrs 42  1 1 1  0  2  1
## 3    0-5yrs 39  6 2 1  0  3  4
## 4    0-5yrs 34  4 2 1  0  4  2
## 5   6-11yrs 35  3 1 1  1  5 32
## 6   6-11yrs 36  4 2 1  1  6 36
## 8   6-11yrs 32  2 0 1  0  8 22
## 12  6-11yrs 37  4 2 1  1 12 37
## 13  6-11yrs 31  1 1 1  0 13  9
## 15  6-11yrs 31  2 1 1  1 15 21
## 17  6-11yrs 30  5 2 1  1 17 38
## 20  6-11yrs 44  1 0 1  1 20 17
## 21  6-11yrs 40  1 0 1  1 21 14
## 22  6-11yrs 35  2 2 1  0 22 24
## 24  6-11yrs 36  1 0 1  1 24 12
## 26  6-11yrs 40  2 0 1  2 26 27
## 27  6-11yrs 38  2 0 1  2 27 26
## 28  6-11yrs 34  3 0 1  2 28 31
## 29  6-11yrs 28  4 1 1  2 29 34
## 30  6-11yrs 30  4 2 1  0 30 35
## 31  6-11yrs 32  1 0 1  1 31 10
## 32  6-11yrs 34  2 1 1  0 32 23
## 33  6-11yrs 42  1 1 1  0 33 16
## 34  6-11yrs 32  2 0 1  2 34 22
## 35  6-11yrs 39  1 1 1  0 35 13
## 36  6-11yrs 35  2 0 1  2 36 24
## 37  6-11yrs 36  1 0 1  1 37 12
## 38  6-11yrs 34  3 1 1  2 38 31
## 41  6-11yrs 39  3 0 1  2 41 33
## 42  6-11yrs 35  1 0 1  0 42 11
## 43  6-11yrs 41  1 0 1  0 43 15
## 44  6-11yrs 37  2 1 1  1 44 25
## 46  12+ yrs 37  1 1 1  0 46 48
## 48  12+ yrs 27  4 2 1  0 48 61
## 50  12+ yrs 38  3 0 1  2 50 60
## 52  12+ yrs 36  5 1 1  2 52 62
## 56  12+ yrs 36  2 0 1  2 56 55
## 61  12+ yrs 35  2 0 1  2 61 54
## 63  12+ yrs 34  1 0 1  1 63 47
## 64  12+ yrs 31  2 0 1  2 64 53
## 66  12+ yrs 32  1 0 1  1 66 46
## 69  12+ yrs 37  3 0 1  2 69 59
## 71  12+ yrs 32  1 1 1  0 71 46
## 73  12+ yrs 31  1 0 1  1 73 45
## 74  12+ yrs 38  6 0 1  2 74 63
## 76  12+ yrs 31  1 0 1  1 76 45
## 77  12+ yrs 31  2 0 1  1 77 53
## 79  12+ yrs 31  1 0 1  1 79 45
## 80  12+ yrs 34  1 0 1  1 80 47
## 81  12+ yrs 35  2 2 1  0 81 54
## 84   0-5yrs 26  6 2 0  0  1  3
## 85   0-5yrs 42  1 0 0  0  2  1
## 86   0-5yrs 39  6 2 0  0  3  4
## 87   0-5yrs 34  4 0 0  1  4  2
## 88  6-11yrs 35  3 2 0  0  5 32
## 89  6-11yrs 36  4 1 0  1  6 36
## 91  6-11yrs 32  2 2 0  0  8 22
## 95  6-11yrs 37  4 1 0  1 12 37
## 96  6-11yrs 31  1 0 0  0 13  9
## 98  6-11yrs 31  2 1 0  0 15 21
## 100 6-11yrs 30  5 0 0  2 17 38
## 103 6-11yrs 44  1 0 0  0 20 17
## 104 6-11yrs 40  1 0 0  0 21 14
## 105 6-11yrs 35  2 0 0  0 22 24
## 107 6-11yrs 36  1 0 0  0 24 12
## 109 6-11yrs 40  2 0 0  0 26 27
## 110 6-11yrs 38  2 0 0  0 27 26
## 111 6-11yrs 34  3 0 0  0 28 31
## 112 6-11yrs 28  4 0 0  2 29 34
## 113 6-11yrs 30  4 1 0  1 30 35
## 114 6-11yrs 32  1 0 0  0 31 10
## 115 6-11yrs 34  2 1 0  0 32 23
## 116 6-11yrs 42  1 1 0  0 33 16
## 117 6-11yrs 32  2 0 0  0 34 22
## 118 6-11yrs 39  1 0 0  0 35 13
## 119 6-11yrs 35  2 0 0  0 36 24
## 120 6-11yrs 36  1 0 0  0 37 12
## 121 6-11yrs 34  3 2 0  0 38 31
## 124 6-11yrs 39  3 1 0  0 41 33
## 125 6-11yrs 35  1 0 0  0 42 11
## 126 6-11yrs 41  1 0 0  0 43 15
## 127 6-11yrs 37  2 0 0  0 44 25
## 129 12+ yrs 37  1 0 0  0 46 48
## 131 12+ yrs 27  4 2 0  1 48 61
## 133 12+ yrs 38  3 1 0  0 50 60
## 135 12+ yrs 36  5 1 0  1 52 62
## 139 12+ yrs 36  2 1 0  0 56 55
## 144 12+ yrs 35  2 2 0  0 61 54
## 146 12+ yrs 34  1 0 0  0 63 47
## 147 12+ yrs 31  2 0 0  0 64 53
## 149 12+ yrs 32  1 0 0  0 66 46
## 152 12+ yrs 37  3 1 0  1 69 59
## 154 12+ yrs 32  1 1 0  0 71 46
## 156 12+ yrs 31  1 0 0  1 73 45
## 158 12+ yrs 31  1 0 0  0 76 45
## 159 12+ yrs 31  2 2 0  0 77 53
## 161 12+ yrs 31  1 0 0  0 79 45
## 162 12+ yrs 34  1 0 0  0 80 47
## 163 12+ yrs 35  2 0 0  0 81 54
## 166  0-5yrs 26  6 2 0  0  1  3
## 167  0-5yrs 42  1 0 0  0  2  1
## 168  0-5yrs 39  6 2 0  0  3  4
## 169  0-5yrs 34  4 0 0  2  4  2
## 170 6-11yrs 35  3 0 0  0  5 32
## 171 6-11yrs 36  4 0 0  2  6 36
## 173 6-11yrs 32  2 0 0  1  8 22
## 177 6-11yrs 37  4 0 0  1 12 37
## 178 6-11yrs 31  1 0 0  0 13  9
## 180 6-11yrs 31  2 1 0  0 15 21
## 182 6-11yrs 30  5 1 0  2 17 38
## 185 6-11yrs 44  1 1 0  0 20 17
## 186 6-11yrs 40  1 0 0  0 21 14
## 187 6-11yrs 35  2 0 0  0 22 24
## 189 6-11yrs 36  1 0 0  1 24 12
## 191 6-11yrs 40  2 0 0  0 26 27
## 192 6-11yrs 38  2 0 0  0 27 26
## 193 6-11yrs 34  3 0 0  0 28 31
## 194 6-11yrs 28  4 2 0  1 29 34
## 195 6-11yrs 30  4 1 0  1 30 35
## 196 6-11yrs 32  1 0 0  0 31 10
## 197 6-11yrs 34  2 0 0  0 32 23
## 198 6-11yrs 42  1 0 0  0 33 16
## 199 6-11yrs 32  2 2 0  0 34 22
## 200 6-11yrs 39  1 0 0  0 35 13
## 201 6-11yrs 35  2 0 0  0 36 24
## 202 6-11yrs 36  1 0 0  0 37 12
## 203 6-11yrs 34  3 2 0  0 38 31
## 206 6-11yrs 39  3 0 0  0 41 33
## 207 6-11yrs 35  1 0 0  0 42 11
## 208 6-11yrs 41  1 0 0  0 43 15
## 209 6-11yrs 37  2 0 0  0 44 25
## 211 12+ yrs 37  1 0 0  1 46 48
## 213 12+ yrs 27  4 2 0  0 48 61
## 215 12+ yrs 38  3 1 0  0 50 60
## 217 12+ yrs 36  5 2 0  1 52 62
## 221 12+ yrs 36  2 0 0  1 56 55
## 226 12+ yrs 35  2 1 0  0 61 54
## 228 12+ yrs 34  1 0 0  0 63 47
## 229 12+ yrs 31  2 1 0  0 64 53
## 231 12+ yrs 32  1 1 0  0 66 46
## 234 12+ yrs 37  3 0 0  2 69 59
## 236 12+ yrs 32  1 0 0  0 71 46
## 238 12+ yrs 31  1 0 0  0 73 45
## 239 12+ yrs 38  6 0 0  2 74 63
## 241 12+ yrs 31  1 1 0  0 76 45
## 242 12+ yrs 31  2 0 0  1 77 53
## 244 12+ yrs 31  1 0 0  1 79 45
## 245 12+ yrs 34  1 0 0  0 80 47
## 246 12+ yrs 35  2 2 0  0 81 54
#Chia dữ liệu AGE thành 4 tổ và lập bảng
cut(AGE,4)
##   [1] (21,26.8]   (38.2,44]   (38.2,44]   (32.5,38.2] (32.5,38.2] (32.5,38.2]
##   [7] (21,26.8]   (26.8,32.5] (21,26.8]   (26.8,32.5] (26.8,32.5] (32.5,38.2]
##  [13] (26.8,32.5] (26.8,32.5] (26.8,32.5] (26.8,32.5] (26.8,32.5] (21,26.8]  
##  [19] (21,26.8]   (38.2,44]   (38.2,44]   (32.5,38.2] (26.8,32.5] (32.5,38.2]
##  [25] (26.8,32.5] (38.2,44]   (32.5,38.2] (32.5,38.2] (26.8,32.5] (26.8,32.5]
##  [31] (26.8,32.5] (32.5,38.2] (38.2,44]   (26.8,32.5] (38.2,44]   (32.5,38.2]
##  [37] (32.5,38.2] (32.5,38.2] (26.8,32.5] (26.8,32.5] (38.2,44]   (32.5,38.2]
##  [43] (38.2,44]   (32.5,38.2] (26.8,32.5] (32.5,38.2] (26.8,32.5] (26.8,32.5]
##  [49] (21,26.8]   (32.5,38.2] (21,26.8]   (32.5,38.2] (26.8,32.5] (26.8,32.5]
##  [55] (26.8,32.5] (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5] (26.8,32.5]
##  [61] (32.5,38.2] (21,26.8]   (32.5,38.2] (26.8,32.5] (21,26.8]   (26.8,32.5]
##  [67] (21,26.8]   (26.8,32.5] (32.5,38.2] (21,26.8]   (26.8,32.5] (21,26.8]  
##  [73] (26.8,32.5] (32.5,38.2] (21,26.8]   (26.8,32.5] (26.8,32.5] (21,26.8]  
##  [79] (26.8,32.5] (32.5,38.2] (32.5,38.2] (26.8,32.5] (21,26.8]   (21,26.8]  
##  [85] (38.2,44]   (38.2,44]   (32.5,38.2] (32.5,38.2] (32.5,38.2] (21,26.8]  
##  [91] (26.8,32.5] (21,26.8]   (26.8,32.5] (26.8,32.5] (32.5,38.2] (26.8,32.5]
##  [97] (26.8,32.5] (26.8,32.5] (26.8,32.5] (26.8,32.5] (21,26.8]   (21,26.8]  
## [103] (38.2,44]   (38.2,44]   (32.5,38.2] (26.8,32.5] (32.5,38.2] (26.8,32.5]
## [109] (38.2,44]   (32.5,38.2] (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5]
## [115] (32.5,38.2] (38.2,44]   (26.8,32.5] (38.2,44]   (32.5,38.2] (32.5,38.2]
## [121] (32.5,38.2] (26.8,32.5] (26.8,32.5] (38.2,44]   (32.5,38.2] (38.2,44]  
## [127] (32.5,38.2] (26.8,32.5] (32.5,38.2] (26.8,32.5] (26.8,32.5] (21,26.8]  
## [133] (32.5,38.2] (21,26.8]   (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5]
## [139] (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5] (26.8,32.5] (32.5,38.2]
## [145] (21,26.8]   (32.5,38.2] (26.8,32.5] (21,26.8]   (26.8,32.5] (21,26.8]  
## [151] (26.8,32.5] (32.5,38.2] (21,26.8]   (26.8,32.5] (21,26.8]   (26.8,32.5]
## [157] (21,26.8]   (26.8,32.5] (26.8,32.5] (21,26.8]   (26.8,32.5] (32.5,38.2]
## [163] (32.5,38.2] (26.8,32.5] (21,26.8]   (21,26.8]   (38.2,44]   (38.2,44]  
## [169] (32.5,38.2] (32.5,38.2] (32.5,38.2] (21,26.8]   (26.8,32.5] (21,26.8]  
## [175] (26.8,32.5] (26.8,32.5] (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5]
## [181] (26.8,32.5] (26.8,32.5] (21,26.8]   (21,26.8]   (38.2,44]   (38.2,44]  
## [187] (32.5,38.2] (26.8,32.5] (32.5,38.2] (26.8,32.5] (38.2,44]   (32.5,38.2]
## [193] (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5] (32.5,38.2] (38.2,44]  
## [199] (26.8,32.5] (38.2,44]   (32.5,38.2] (32.5,38.2] (32.5,38.2] (26.8,32.5]
## [205] (26.8,32.5] (38.2,44]   (32.5,38.2] (38.2,44]   (32.5,38.2] (26.8,32.5]
## [211] (32.5,38.2] (26.8,32.5] (26.8,32.5] (21,26.8]   (32.5,38.2] (21,26.8]  
## [217] (32.5,38.2] (26.8,32.5] (26.8,32.5] (26.8,32.5] (32.5,38.2] (26.8,32.5]
## [223] (26.8,32.5] (26.8,32.5] (26.8,32.5] (32.5,38.2] (21,26.8]   (32.5,38.2]
## [229] (26.8,32.5] (21,26.8]   (26.8,32.5] (21,26.8]   (26.8,32.5] (32.5,38.2]
## [235] (21,26.8]   (26.8,32.5] (21,26.8]   (26.8,32.5] (32.5,38.2] (21,26.8]  
## [241] (26.8,32.5] (26.8,32.5] (21,26.8]   (26.8,32.5] (32.5,38.2] (32.5,38.2]
## [247] (26.8,32.5] (21,26.8]  
## Levels: (21,26.8] (26.8,32.5] (32.5,38.2] (38.2,44]
table(cut(AGE,4))
## 
##   (21,26.8] (26.8,32.5] (32.5,38.2]   (38.2,44] 
##          45         105          71          27
#Lập bảng tần số của AGE được chia thành 4 tổ với lần lượt với các biến Education, Parity, Induced và Case
table(cut(AGE,4),i$E)
##              
##               0-5yrs 6-11yrs 12+ yrs
##   (21,26.8]        3      12      30
##   (26.8,32.5]      0      48      57
##   (32.5,38.2]      3      39      29
##   (38.2,44]        6      21       0
table(cut(AGE,4),i$Pa)
##              
##                1  2  3  4  5  6
##   (21,26.8]   27  9  6  0  0  3
##   (26.8,32.5] 36 45 12  9  3  0
##   (32.5,38.2] 18 24 15  9  3  2
##   (38.2,44]   18  3  3  0  0  3
table(cut(AGE,4),i$I)
##              
##                0  1  2
##   (21,26.8]   24 15  6
##   (26.8,32.5] 56 32 17
##   (32.5,38.2] 45 15 11
##   (38.2,44]   18  6  3
table(cut(AGE,4),i$C)
##              
##                0  1
##   (21,26.8]   30 15
##   (26.8,32.5] 70 35
##   (32.5,38.2] 47 24
##   (38.2,44]   18  9
#Chia dữ liệu Parity thành 4 tổ và lập bảng
cut(PAR,4)
##   [1] (4.75,6]     (0.995,2.25] (4.75,6]     (3.5,4.75]   (2.25,3.5]  
##   [6] (3.5,4.75]   (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [11] (0.995,2.25] (3.5,4.75]   (0.995,2.25] (2.25,3.5]   (0.995,2.25]
##  [16] (0.995,2.25] (4.75,6]     (0.995,2.25] (2.25,3.5]   (0.995,2.25]
##  [21] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [26] (0.995,2.25] (0.995,2.25] (2.25,3.5]   (3.5,4.75]   (3.5,4.75]  
##  [31] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [36] (0.995,2.25] (0.995,2.25] (2.25,3.5]   (2.25,3.5]   (0.995,2.25]
##  [41] (2.25,3.5]   (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [46] (0.995,2.25] (0.995,2.25] (3.5,4.75]   (0.995,2.25] (2.25,3.5]  
##  [51] (2.25,3.5]   (4.75,6]     (2.25,3.5]   (0.995,2.25] (0.995,2.25]
##  [56] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [61] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [66] (0.995,2.25] (0.995,2.25] (2.25,3.5]   (2.25,3.5]   (0.995,2.25]
##  [71] (0.995,2.25] (0.995,2.25] (0.995,2.25] (4.75,6]     (0.995,2.25]
##  [76] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
##  [81] (0.995,2.25] (0.995,2.25] (0.995,2.25] (4.75,6]     (0.995,2.25]
##  [86] (4.75,6]     (3.5,4.75]   (2.25,3.5]   (3.5,4.75]   (0.995,2.25]
##  [91] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (3.5,4.75]  
##  [96] (0.995,2.25] (2.25,3.5]   (0.995,2.25] (0.995,2.25] (4.75,6]    
## [101] (0.995,2.25] (2.25,3.5]   (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [106] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [111] (2.25,3.5]   (3.5,4.75]   (3.5,4.75]   (0.995,2.25] (0.995,2.25]
## [116] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [121] (2.25,3.5]   (2.25,3.5]   (0.995,2.25] (2.25,3.5]   (0.995,2.25]
## [126] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [131] (3.5,4.75]   (0.995,2.25] (2.25,3.5]   (2.25,3.5]   (4.75,6]    
## [136] (2.25,3.5]   (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [141] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [146] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [151] (2.25,3.5]   (2.25,3.5]   (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [156] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [161] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [166] (4.75,6]     (0.995,2.25] (4.75,6]     (3.5,4.75]   (2.25,3.5]  
## [171] (3.5,4.75]   (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [176] (0.995,2.25] (3.5,4.75]   (0.995,2.25] (2.25,3.5]   (0.995,2.25]
## [181] (0.995,2.25] (4.75,6]     (0.995,2.25] (2.25,3.5]   (0.995,2.25]
## [186] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [191] (0.995,2.25] (0.995,2.25] (2.25,3.5]   (3.5,4.75]   (3.5,4.75]  
## [196] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [201] (0.995,2.25] (0.995,2.25] (2.25,3.5]   (2.25,3.5]   (0.995,2.25]
## [206] (2.25,3.5]   (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [211] (0.995,2.25] (0.995,2.25] (3.5,4.75]   (0.995,2.25] (2.25,3.5]  
## [216] (2.25,3.5]   (4.75,6]     (2.25,3.5]   (0.995,2.25] (0.995,2.25]
## [221] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [226] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [231] (0.995,2.25] (0.995,2.25] (2.25,3.5]   (2.25,3.5]   (0.995,2.25]
## [236] (0.995,2.25] (0.995,2.25] (0.995,2.25] (4.75,6]     (0.995,2.25]
## [241] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## [246] (0.995,2.25] (0.995,2.25] (0.995,2.25]
## Levels: (0.995,2.25] (2.25,3.5] (3.5,4.75] (4.75,6]
table(cut(PAR,4))
## 
## (0.995,2.25]   (2.25,3.5]   (3.5,4.75]     (4.75,6] 
##          180           36           18           14
#Gán biến Po của data(i)vào POO, chia dữ liệu POO thành 4 tổ và lập bảng
POO <- i$Po
cut(POO,4)
##   [1] (0.938,16.5] (0.938,16.5] (0.938,16.5] (0.938,16.5] (16.5,32]   
##   [6] (32,47.5]    (0.938,16.5] (16.5,32]    (0.938,16.5] (16.5,32]   
##  [11] (16.5,32]    (32,47.5]    (0.938,16.5] (16.5,32]    (16.5,32]   
##  [16] (16.5,32]    (32,47.5]    (0.938,16.5] (16.5,32]    (16.5,32]   
##  [21] (0.938,16.5] (16.5,32]    (16.5,32]    (0.938,16.5] (16.5,32]   
##  [26] (16.5,32]    (16.5,32]    (16.5,32]    (32,47.5]    (32,47.5]   
##  [31] (0.938,16.5] (16.5,32]    (0.938,16.5] (16.5,32]    (0.938,16.5]
##  [36] (16.5,32]    (0.938,16.5] (16.5,32]    (16.5,32]    (0.938,16.5]
##  [41] (32,47.5]    (0.938,16.5] (0.938,16.5] (16.5,32]    (32,47.5]   
##  [46] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (47.5,63.1] 
##  [51] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (32,47.5]    (47.5,63.1] 
##  [56] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (32,47.5]    (47.5,63.1] 
##  [61] (47.5,63.1]  (32,47.5]    (32,47.5]    (47.5,63.1]  (47.5,63.1] 
##  [66] (32,47.5]    (32,47.5]    (47.5,63.1]  (47.5,63.1]  (32,47.5]   
##  [71] (32,47.5]    (32,47.5]    (32,47.5]    (47.5,63.1]  (47.5,63.1] 
##  [76] (32,47.5]    (47.5,63.1]  (32,47.5]    (32,47.5]    (32,47.5]   
##  [81] (47.5,63.1]  (32,47.5]    (32,47.5]    (0.938,16.5] (0.938,16.5]
##  [86] (0.938,16.5] (0.938,16.5] (16.5,32]    (32,47.5]    (0.938,16.5]
##  [91] (16.5,32]    (0.938,16.5] (16.5,32]    (16.5,32]    (32,47.5]   
##  [96] (0.938,16.5] (16.5,32]    (16.5,32]    (16.5,32]    (32,47.5]   
## [101] (0.938,16.5] (16.5,32]    (16.5,32]    (0.938,16.5] (16.5,32]   
## [106] (16.5,32]    (0.938,16.5] (16.5,32]    (16.5,32]    (16.5,32]   
## [111] (16.5,32]    (32,47.5]    (32,47.5]    (0.938,16.5] (16.5,32]   
## [116] (0.938,16.5] (16.5,32]    (0.938,16.5] (16.5,32]    (0.938,16.5]
## [121] (16.5,32]    (16.5,32]    (0.938,16.5] (32,47.5]    (0.938,16.5]
## [126] (0.938,16.5] (16.5,32]    (32,47.5]    (47.5,63.1]  (47.5,63.1] 
## [131] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (47.5,63.1] 
## [136] (47.5,63.1]  (32,47.5]    (47.5,63.1]  (47.5,63.1]  (47.5,63.1] 
## [141] (47.5,63.1]  (32,47.5]    (47.5,63.1]  (47.5,63.1]  (32,47.5]   
## [146] (32,47.5]    (47.5,63.1]  (47.5,63.1]  (32,47.5]    (32,47.5]   
## [151] (47.5,63.1]  (47.5,63.1]  (32,47.5]    (32,47.5]    (32,47.5]   
## [156] (32,47.5]    (47.5,63.1]  (32,47.5]    (47.5,63.1]  (32,47.5]   
## [161] (32,47.5]    (32,47.5]    (47.5,63.1]  (32,47.5]    (32,47.5]   
## [166] (0.938,16.5] (0.938,16.5] (0.938,16.5] (0.938,16.5] (16.5,32]   
## [171] (32,47.5]    (0.938,16.5] (16.5,32]    (0.938,16.5] (16.5,32]   
## [176] (16.5,32]    (32,47.5]    (0.938,16.5] (16.5,32]    (16.5,32]   
## [181] (16.5,32]    (32,47.5]    (0.938,16.5] (16.5,32]    (16.5,32]   
## [186] (0.938,16.5] (16.5,32]    (16.5,32]    (0.938,16.5] (16.5,32]   
## [191] (16.5,32]    (16.5,32]    (16.5,32]    (32,47.5]    (32,47.5]   
## [196] (0.938,16.5] (16.5,32]    (0.938,16.5] (16.5,32]    (0.938,16.5]
## [201] (16.5,32]    (0.938,16.5] (16.5,32]    (16.5,32]    (0.938,16.5]
## [206] (32,47.5]    (0.938,16.5] (0.938,16.5] (16.5,32]    (32,47.5]   
## [211] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (47.5,63.1] 
## [216] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (32,47.5]    (47.5,63.1] 
## [221] (47.5,63.1]  (47.5,63.1]  (47.5,63.1]  (32,47.5]    (47.5,63.1] 
## [226] (47.5,63.1]  (32,47.5]    (32,47.5]    (47.5,63.1]  (47.5,63.1] 
## [231] (32,47.5]    (32,47.5]    (47.5,63.1]  (47.5,63.1]  (32,47.5]   
## [236] (32,47.5]    (32,47.5]    (32,47.5]    (47.5,63.1]  (47.5,63.1] 
## [241] (32,47.5]    (47.5,63.1]  (32,47.5]    (32,47.5]    (32,47.5]   
## [246] (47.5,63.1]  (32,47.5]    (32,47.5]   
## Levels: (0.938,16.5] (16.5,32] (32,47.5] (47.5,63.1]
table(cut(POO,4))
## 
## (0.938,16.5]    (16.5,32]    (32,47.5]  (47.5,63.1] 
##           51           63           69           65
#Lập bảng tần số của dữ liệu Parity với lần lượt các biến Education, Case, Spontaneous và bảng tần số Pooled.stratum
table(cut(PAR,4),i$E)
##               
##                0-5yrs 6-11yrs 12+ yrs
##   (0.995,2.25]      3      84      93
##   (2.25,3.5]        0      21      15
##   (3.5,4.75]        3      12       3
##   (4.75,6]          6       3       5
table(cut(PAR,4),i$C)
##               
##                  0   1
##   (0.995,2.25] 120  60
##   (2.25,3.5]    24  12
##   (3.5,4.75]    12   6
##   (4.75,6]       9   5
table(cut(PAR,4),i$Sp)
##               
##                  0   1   2
##   (0.995,2.25] 116  48  16
##   (2.25,3.5]    16  10  10
##   (3.5,4.75]     4  10   4
##   (4.75,6]       5   3   6
table(cut(PAR,4),cut(POO,4))
##               
##                (0.938,16.5] (16.5,32] (32,47.5] (47.5,63.1]
##   (0.995,2.25]           42        45        51          42
##   (2.25,3.5]              0        18         3          15
##   (3.5,4.75]              3         0        12           3
##   (4.75,6]                6         0         3           5
#Lập bảng tần số của POO với lần lượt các biến Education, Case, Spontaneous và Parity
table(cut(POO,4),i$E)
##               
##                0-5yrs 6-11yrs 12+ yrs
##   (0.938,16.5]     12      39       0
##   (16.5,32]         0      63       0
##   (32,47.5]         0      18      51
##   (47.5,63.1]       0       0      65
table(cut(POO,4),i$C)
##               
##                 0  1
##   (0.938,16.5] 34 17
##   (16.5,32]    42 21
##   (32,47.5]    46 23
##   (47.5,63.1]  43 22
table(cut(POO,4),i$Sp)
##               
##                 0  1  2
##   (0.938,16.5] 39 10  2
##   (16.5,32]    38 15 10
##   (32,47.5]    32 31  6
##   (47.5,63.1]  32 15 18
table(cut(POO,4),i$Pa)
##               
##                 1  2  3  4  5  6
##   (0.938,16.5] 42  0  0  3  0  6
##   (16.5,32]     3 42 18  0  0  0
##   (32,47.5]    51  0  3 12  3  0
##   (47.5,63.1]   3 39 15  3  3  2
#Lập bảng tần số giữa các dữ liệu AGE, POO và PAR với nhau
table(cut(AGE,4),cut(POO,4))
##              
##               (0.938,16.5] (16.5,32] (32,47.5] (47.5,63.1]
##   (21,26.8]             12         3        18          12
##   (26.8,32.5]            9        30        36          30
##   (32.5,38.2]           12        24        12          23
##   (38.2,44]             18         6         3           0
table(cut(AGE,4),cut(PAR,4))
##              
##               (0.995,2.25] (2.25,3.5] (3.5,4.75] (4.75,6]
##   (21,26.8]             36          6          0        3
##   (26.8,32.5]           81         12          9        3
##   (32.5,38.2]           42         15          9        5
##   (38.2,44]             21          3          0        3
table(cut(PAR,4),cut(POO,4))
##               
##                (0.938,16.5] (16.5,32] (32,47.5] (47.5,63.1]
##   (0.995,2.25]           42        45        51          42
##   (2.25,3.5]              0        18         3          15
##   (3.5,4.75]              3         0        12           3
##   (4.75,6]                6         0         3           5
#Tính logarit của các biến A, Pa, Po trong data(i)
i$logA <- log(i$A)
i$logA
##   [1] 3.258097 3.737670 3.663562 3.526361 3.555348 3.583519 3.135494 3.465736
##   [9] 3.044522 3.332205 3.367296 3.610918 3.433987 3.367296 3.433987 3.295837
##  [17] 3.401197 3.258097 3.218876 3.784190 3.688879 3.555348 3.332205 3.583519
##  [25] 3.295837 3.688879 3.637586 3.526361 3.332205 3.401197 3.465736 3.526361
##  [33] 3.737670 3.465736 3.663562 3.555348 3.583519 3.526361 3.401197 3.332205
##  [41] 3.663562 3.555348 3.713572 3.610918 3.401197 3.610918 3.332205 3.295837
##  [49] 3.258097 3.637586 3.178054 3.583519 3.295837 3.332205 3.367296 3.583519
##  [57] 3.332205 3.332205 3.332205 3.295837 3.555348 3.218876 3.526361 3.433987
##  [65] 3.258097 3.465736 3.044522 3.332205 3.610918 3.218876 3.465736 3.218876
##  [73] 3.433987 3.637586 3.258097 3.433987 3.433987 3.218876 3.433987 3.526361
##  [81] 3.555348 3.367296 3.135494 3.258097 3.737670 3.663562 3.526361 3.555348
##  [89] 3.583519 3.135494 3.465736 3.044522 3.332205 3.367296 3.610918 3.433987
##  [97] 3.367296 3.433987 3.295837 3.401197 3.258097 3.218876 3.784190 3.688879
## [105] 3.555348 3.332205 3.583519 3.295837 3.688879 3.637586 3.526361 3.332205
## [113] 3.401197 3.465736 3.526361 3.737670 3.465736 3.663562 3.555348 3.583519
## [121] 3.526361 3.401197 3.332205 3.663562 3.555348 3.713572 3.610918 3.401197
## [129] 3.610918 3.332205 3.295837 3.258097 3.637586 3.178054 3.583519 3.295837
## [137] 3.332205 3.367296 3.583519 3.332205 3.332205 3.332205 3.295837 3.555348
## [145] 3.218876 3.526361 3.433987 3.258097 3.465736 3.044522 3.332205 3.610918
## [153] 3.218876 3.465736 3.218876 3.433987 3.258097 3.433987 3.433987 3.218876
## [161] 3.433987 3.526361 3.555348 3.367296 3.135494 3.258097 3.737670 3.663562
## [169] 3.526361 3.555348 3.583519 3.135494 3.465736 3.044522 3.332205 3.367296
## [177] 3.610918 3.433987 3.367296 3.433987 3.295837 3.401197 3.258097 3.218876
## [185] 3.784190 3.688879 3.555348 3.332205 3.583519 3.295837 3.688879 3.637586
## [193] 3.526361 3.332205 3.401197 3.465736 3.526361 3.737670 3.465736 3.663562
## [201] 3.555348 3.583519 3.526361 3.401197 3.332205 3.663562 3.555348 3.713572
## [209] 3.610918 3.401197 3.610918 3.332205 3.295837 3.258097 3.637586 3.178054
## [217] 3.583519 3.295837 3.332205 3.367296 3.583519 3.332205 3.332205 3.332205
## [225] 3.295837 3.555348 3.218876 3.526361 3.433987 3.258097 3.465736 3.044522
## [233] 3.332205 3.610918 3.218876 3.465736 3.218876 3.433987 3.637586 3.258097
## [241] 3.433987 3.433987 3.218876 3.433987 3.526361 3.555348 3.367296 3.135494
i$logPAR <- log(i$Pa)
i$logPAR
##   [1] 1.7917595 0.0000000 1.7917595 1.3862944 1.0986123 1.3862944 0.0000000
##   [8] 0.6931472 0.0000000 0.6931472 0.6931472 1.3862944 0.0000000 1.0986123
##  [15] 0.6931472 0.6931472 1.6094379 0.0000000 1.0986123 0.0000000 0.0000000
##  [22] 0.6931472 0.6931472 0.0000000 0.6931472 0.6931472 0.6931472 1.0986123
##  [29] 1.3862944 1.3862944 0.0000000 0.6931472 0.0000000 0.6931472 0.0000000
##  [36] 0.6931472 0.0000000 1.0986123 1.0986123 0.0000000 1.0986123 0.0000000
##  [43] 0.0000000 0.6931472 0.0000000 0.0000000 0.6931472 1.3862944 0.6931472
##  [50] 1.0986123 1.0986123 1.6094379 1.0986123 0.0000000 0.6931472 0.6931472
##  [57] 0.6931472 0.6931472 0.0000000 0.6931472 0.6931472 0.0000000 0.0000000
##  [64] 0.6931472 0.6931472 0.0000000 0.0000000 1.0986123 1.0986123 0.0000000
##  [71] 0.0000000 0.0000000 0.0000000 1.7917595 0.6931472 0.0000000 0.6931472
##  [78] 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000 0.0000000 1.7917595
##  [85] 0.0000000 1.7917595 1.3862944 1.0986123 1.3862944 0.0000000 0.6931472
##  [92] 0.0000000 0.6931472 0.6931472 1.3862944 0.0000000 1.0986123 0.6931472
##  [99] 0.6931472 1.6094379 0.0000000 1.0986123 0.0000000 0.0000000 0.6931472
## [106] 0.6931472 0.0000000 0.6931472 0.6931472 0.6931472 1.0986123 1.3862944
## [113] 1.3862944 0.0000000 0.6931472 0.0000000 0.6931472 0.0000000 0.6931472
## [120] 0.0000000 1.0986123 1.0986123 0.0000000 1.0986123 0.0000000 0.0000000
## [127] 0.6931472 0.0000000 0.0000000 0.6931472 1.3862944 0.6931472 1.0986123
## [134] 1.0986123 1.6094379 1.0986123 0.0000000 0.6931472 0.6931472 0.6931472
## [141] 0.6931472 0.0000000 0.6931472 0.6931472 0.0000000 0.0000000 0.6931472
## [148] 0.6931472 0.0000000 0.0000000 1.0986123 1.0986123 0.0000000 0.0000000
## [155] 0.0000000 0.0000000 0.6931472 0.0000000 0.6931472 0.0000000 0.0000000
## [162] 0.0000000 0.6931472 0.0000000 0.0000000 1.7917595 0.0000000 1.7917595
## [169] 1.3862944 1.0986123 1.3862944 0.0000000 0.6931472 0.0000000 0.6931472
## [176] 0.6931472 1.3862944 0.0000000 1.0986123 0.6931472 0.6931472 1.6094379
## [183] 0.0000000 1.0986123 0.0000000 0.0000000 0.6931472 0.6931472 0.0000000
## [190] 0.6931472 0.6931472 0.6931472 1.0986123 1.3862944 1.3862944 0.0000000
## [197] 0.6931472 0.0000000 0.6931472 0.0000000 0.6931472 0.0000000 1.0986123
## [204] 1.0986123 0.0000000 1.0986123 0.0000000 0.0000000 0.6931472 0.0000000
## [211] 0.0000000 0.6931472 1.3862944 0.6931472 1.0986123 1.0986123 1.6094379
## [218] 1.0986123 0.0000000 0.6931472 0.6931472 0.6931472 0.6931472 0.0000000
## [225] 0.6931472 0.6931472 0.0000000 0.0000000 0.6931472 0.6931472 0.0000000
## [232] 0.0000000 1.0986123 1.0986123 0.0000000 0.0000000 0.0000000 0.0000000
## [239] 1.7917595 0.6931472 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000
## [246] 0.6931472 0.0000000 0.0000000
i$logPo <- log(i$Po)
i$logPo
##   [1] 1.0986123 0.0000000 1.3862944 0.6931472 3.4657359 3.5835189 1.7917595
##   [8] 3.0910425 1.6094379 2.9444390 2.9957323 3.6109179 2.1972246 3.3672958
##  [15] 3.0445224 2.8903718 3.6375862 1.9459101 3.3322045 2.8332133 2.6390573
##  [22] 3.1780538 2.9444390 2.4849066 2.8903718 3.2958369 3.2580965 3.4339872
##  [29] 3.5263605 3.5553481 2.3025851 3.1354942 2.7725887 3.0910425 2.5649494
##  [36] 3.1780538 2.4849066 3.4339872 3.4011974 2.0794415 3.4965076 2.3978953
##  [43] 2.7080502 3.2188758 3.7841896 3.8712010 3.9318256 4.1108739 3.8918203
##  [50] 4.0943446 4.0253517 4.1271344 4.0430513 3.7376696 3.9512437 4.0073332
##  [57] 3.9318256 3.9318256 3.7376696 3.9120230 3.9889840 3.7135721 3.8501476
##  [64] 3.9702919 3.8918203 3.8286414 3.6635616 4.0604430 4.0775374 3.7135721
##  [71] 3.8286414 3.7135721 3.8066625 4.1431347 3.8918203 3.8066625 3.9702919
##  [78] 3.7135721 3.8066625 3.8501476 3.9889840 3.7612001 3.6888795 1.0986123
##  [85] 0.0000000 1.3862944 0.6931472 3.4657359 3.5835189 1.7917595 3.0910425
##  [92] 1.6094379 2.9444390 2.9957323 3.6109179 2.1972246 3.3672958 3.0445224
##  [99] 2.8903718 3.6375862 1.9459101 3.3322045 2.8332133 2.6390573 3.1780538
## [106] 2.9444390 2.4849066 2.8903718 3.2958369 3.2580965 3.4339872 3.5263605
## [113] 3.5553481 2.3025851 3.1354942 2.7725887 3.0910425 2.5649494 3.1780538
## [120] 2.4849066 3.4339872 3.4011974 2.0794415 3.4965076 2.3978953 2.7080502
## [127] 3.2188758 3.7841896 3.8712010 3.9318256 4.1108739 3.8918203 4.0943446
## [134] 4.0253517 4.1271344 4.0430513 3.7376696 3.9512437 4.0073332 3.9318256
## [141] 3.9318256 3.7376696 3.9120230 3.9889840 3.7135721 3.8501476 3.9702919
## [148] 3.8918203 3.8286414 3.6635616 4.0604430 4.0775374 3.7135721 3.8286414
## [155] 3.7135721 3.8066625 3.8918203 3.8066625 3.9702919 3.7135721 3.8066625
## [162] 3.8501476 3.9889840 3.7612001 3.6888795 1.0986123 0.0000000 1.3862944
## [169] 0.6931472 3.4657359 3.5835189 1.7917595 3.0910425 1.6094379 2.9444390
## [176] 2.9957323 3.6109179 2.1972246 3.3672958 3.0445224 2.8903718 3.6375862
## [183] 1.9459101 3.3322045 2.8332133 2.6390573 3.1780538 2.9444390 2.4849066
## [190] 2.8903718 3.2958369 3.2580965 3.4339872 3.5263605 3.5553481 2.3025851
## [197] 3.1354942 2.7725887 3.0910425 2.5649494 3.1780538 2.4849066 3.4339872
## [204] 3.4011974 2.0794415 3.4965076 2.3978953 2.7080502 3.2188758 3.7841896
## [211] 3.8712010 3.9318256 4.1108739 3.8918203 4.0943446 4.0253517 4.1271344
## [218] 4.0430513 3.7376696 3.9512437 4.0073332 3.9318256 3.9318256 3.7376696
## [225] 3.9120230 3.9889840 3.7135721 3.8501476 3.9702919 3.8918203 3.8286414
## [232] 3.6635616 4.0604430 4.0775374 3.7135721 3.8286414 3.7135721 3.8066625
## [239] 4.1431347 3.8918203 3.8066625 3.9702919 3.7135721 3.8066625 3.8501476
## [246] 3.9889840 3.7612001 3.6888795

Bài Tập Tuần 2