KODE ANALISIS PERBANDINGAN ALGORITMA CLUSTERING UNTUK SEGMENTASI PROFIL KLINIS PASIEN HEPATITIS C BERDASARKAN PARAMETER BIOKIMIA DARAH
Eka Aliya
2026-05-01
Hepatitis C merupakan tantangan kesehatan global yang memerlukan pemantauan parameter biokimia darah secara akurat untuk mendeteksi tingkat kerusakan hati. Laporan ini menyajikan analisis komparatif dari lima algoritma clustering yaitu K-Means, K-Median, Hierarchical Clustering, DBSCAN, dan Fuzzy C-Means—untuk memetakan segmentasi profil medis pasien secara.
Dataset yang digunakan dalam analisis ini adalah “HCV Data” yang bersumber dari UCI Machine Learning Repository, dapat diakses melalui tautan berikut:https://archive.ics.uci.edu/dataset/571/hcv+data Dataset ini mencakup 615 observasi dengan fitur-fitur biokimia krusial seperti enzim hati dan kadar protein plasma.Dengan memanfaatkan teknik Principal Component Analysis (PCA) untuk reduksi dimensi dan Silhouette Score sebagai metrik evaluasi utama, proyek ini bertujuan untuk menemukan model yang paling representatif dalam membedakan kondisi kesehatan pasien, mulai dari donor sehat hingga indikasi komplikasi medis yang lebih berat. —
Library yang Digunakan
library(tidyverse)## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.2.1 ✔ readr 2.2.0 ## ✔ forcats 1.0.1 ✔ stringr 1.6.0 ## ✔ ggplot2 4.0.3 ✔ tibble 3.3.1 ## ✔ lubridate 1.9.5 ✔ tidyr 1.3.2 ## ✔ purrr 1.2.2 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr::filter() masks stats::filter() ## ✖ dplyr::lag() masks stats::lag() ## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(factoextra)## Welcome to factoextra!## Want to learn more? See two factoextra-related books at https://www.datanovia.com/en/product/practical-guide-to-principal-component-methods-in-r/library(cluster)library(dbscan)## ## Attaching package: 'dbscan'## The following object is masked from 'package:stats': ## ## as.dendrogramlibrary(e1071)## ## Attaching package: 'e1071'## The following object is masked from 'package:ggplot2': ## ## elementlibrary(corrplot)## corrplot 0.95 loadedLoad Dataset dan Pre Processing
data_hcv <- read.csv("hcvdat0.csv") print(data_hcv)## X Category Age Sex ALB ALP ALT AST BIL CHE CHOL ## 1 1 0=Blood Donor 32 m 38.5 52.5 7.7 22.1 7.5 6.93 3.23 ## 2 2 0=Blood Donor 32 m 38.5 70.3 18.0 24.7 3.9 11.17 4.80 ## 3 3 0=Blood Donor 32 m 46.9 74.7 36.2 52.6 6.1 8.84 5.20 ## 4 4 0=Blood Donor 32 m 43.2 52.0 30.6 22.6 18.9 7.33 4.74 ## 5 5 0=Blood Donor 32 m 39.2 74.1 32.6 24.8 9.6 9.15 4.32 ## 6 6 0=Blood Donor 32 m 41.6 43.3 18.5 19.7 12.3 9.92 6.05 ## 7 7 0=Blood Donor 32 m 46.3 41.3 17.5 17.8 8.5 7.01 4.79 ## 8 8 0=Blood Donor 32 m 42.2 41.9 35.8 31.1 16.1 5.82 4.60 ## 9 9 0=Blood Donor 32 m 50.9 65.5 23.2 21.2 6.9 8.69 4.10 ## 10 10 0=Blood Donor 32 m 42.4 86.3 20.3 20.0 35.2 5.46 4.45 ## 11 11 0=Blood Donor 32 m 44.3 52.3 21.7 22.4 17.2 4.15 3.57 ## 12 12 0=Blood Donor 33 m 46.4 68.2 10.3 20.0 5.7 7.36 4.30 ## 13 13 0=Blood Donor 33 m 36.3 78.6 23.6 22.0 7.0 8.56 5.38 ## 14 14 0=Blood Donor 33 m 39.0 51.7 15.9 24.0 6.8 6.46 3.38 ## 15 15 0=Blood Donor 33 m 38.7 39.8 22.5 23.0 4.1 4.63 4.97 ## 16 16 0=Blood Donor 33 m 41.8 65.0 33.1 38.0 6.6 8.83 4.43 ## 17 17 0=Blood Donor 33 m 40.9 73.0 17.2 22.9 10.0 6.98 5.22 ## 18 18 0=Blood Donor 33 m 45.2 88.3 32.4 31.2 10.1 9.78 5.51 ## 19 19 0=Blood Donor 33 m 36.6 57.1 38.9 40.3 24.9 9.62 5.50 ## 20 20 0=Blood Donor 33 m 42.0 63.1 32.6 34.9 11.2 7.01 4.05 ## 21 21 0=Blood Donor 33 m 44.3 49.8 32.1 21.6 13.1 7.44 5.59 ## 22 22 0=Blood Donor 33 m 46.7 88.3 23.4 23.9 7.8 9.42 4.62 ## 23 23 0=Blood Donor 34 m 42.7 65.3 46.7 30.3 23.4 10.95 5.06 ## 24 24 0=Blood Donor 34 m 43.4 46.1 97.8 46.2 11.3 7.99 3.62 ## 25 25 0=Blood Donor 34 m 40.5 32.4 29.6 27.1 5.8 10.50 4.56 ## 26 26 0=Blood Donor 34 m 44.8 77.7 36.9 31.0 19.5 10.51 5.59 ## 27 27 0=Blood Donor 34 m 42.6 27.0 21.4 21.7 7.2 8.15 6.79 ## 28 28 0=Blood Donor 34 m 29.0 41.6 29.1 16.1 4.8 6.82 4.03 ## 29 29 0=Blood Donor 34 m 44.6 84.1 19.6 29.8 5.8 7.60 5.07 ## 30 30 0=Blood Donor 34 m 46.8 61.7 24.5 24.2 23.1 10.99 4.60 ## 31 31 0=Blood Donor 34 m 41.8 75.8 30.9 35.5 6.1 9.97 5.94 ## 32 32 0=Blood Donor 34 m 46.1 70.6 35.8 30.0 7.6 7.70 4.20 ## 33 33 0=Blood Donor 34 m 43.6 58.9 47.1 31.1 18.5 9.14 4.99 ## 34 34 0=Blood Donor 35 m 37.5 69.8 37.1 25.0 7.8 11.66 5.73 ## 35 35 0=Blood Donor 35 m 42.1 68.3 37.2 56.2 11.1 9.30 4.63 ## 36 36 0=Blood Donor 35 m 44.7 79.3 53.5 30.8 9.7 11.39 7.04 ## 37 37 0=Blood Donor 35 m 41.5 115.1 24.1 30.4 5.7 9.41 4.33 ## 38 38 0=Blood Donor 35 m 48.7 72.7 24.1 31.0 45.1 9.40 3.80 ## 39 39 0=Blood Donor 35 m 47.3 92.2 30.7 25.7 6.6 11.58 5.90 ## 40 40 0=Blood Donor 35 m 44.5 70.3 26.2 25.1 5.1 10.12 4.69 ## 41 41 0=Blood Donor 35 m 47.4 54.5 18.6 21.6 10.3 8.10 6.23 ## 42 42 0=Blood Donor 35 m 51.0 82.7 29.3 26.8 8.7 12.32 5.44 ## 43 43 0=Blood Donor 35 m 27.8 99.0 30.7 27.8 9.4 6.80 4.27 ## 44 44 0=Blood Donor 36 m 46.1 58.5 26.8 25.3 6.0 6.61 5.07 ## 45 45 0=Blood Donor 36 m 45.5 57.6 22.5 19.5 7.5 5.28 4.06 ## 46 46 0=Blood Donor 36 m 41.7 77.2 103.6 46.9 10.4 12.21 5.63 ## 47 47 0=Blood Donor 36 m 45.9 58.8 29.7 27.7 11.7 5.60 4.89 ## 48 48 0=Blood Donor 36 m 48.7 65.0 11.5 18.0 7.4 8.02 7.35 ## 49 49 0=Blood Donor 36 m 53.0 66.4 40.8 23.2 7.5 8.73 5.81 ## 50 50 0=Blood Donor 36 m 47.8 89.0 48.5 38.4 8.6 8.26 5.62 ## 51 51 0=Blood Donor 36 m 42.6 65.3 35.8 27.1 15.7 10.66 4.38 ## 52 52 0=Blood Donor 36 m 42.4 47.3 23.0 25.5 6.1 9.46 5.29 ## 53 53 0=Blood Donor 36 m 48.9 82.8 16.9 24.4 8.9 8.91 5.10 ## 54 54 0=Blood Donor 37 m 31.4 106.0 16.6 17.0 2.4 5.95 5.30 ## 55 55 0=Blood Donor 37 m 42.9 70.7 16.3 24.1 15.7 9.03 6.80 ## 56 56 0=Blood Donor 37 m 44.0 57.4 26.1 24.6 9.7 10.41 6.17 ## 57 57 0=Blood Donor 37 m 41.5 64.6 23.7 29.9 9.3 5.49 3.97 ## 58 58 0=Blood Donor 37 m 47.9 68.8 40.3 46.9 6.0 9.76 6.42 ## 59 59 0=Blood Donor 37 m 44.8 94.3 32.2 36.7 6.3 9.76 4.12 ## 60 60 0=Blood Donor 37 m 38.6 61.2 24.6 31.9 7.9 6.02 4.63 ## 61 61 0=Blood Donor 37 m 51.2 84.5 18.8 24.7 9.9 8.62 6.59 ## 62 62 0=Blood Donor 37 m 41.9 77.5 24.9 25.8 4.1 8.70 4.36 ## 63 63 0=Blood Donor 37 m 46.1 44.3 42.7 26.5 6.4 10.86 5.05 ## 64 64 0=Blood Donor 37 m 50.4 48.5 19.4 27.5 11.6 5.78 4.93 ## 65 65 0=Blood Donor 37 m 33.9 64.0 91.7 44.7 9.1 8.35 5.40 ## 66 66 0=Blood Donor 37 m 42.9 61.8 96.1 44.1 9.6 7.82 5.10 ## 67 67 0=Blood Donor 37 m 40.8 118.9 17.2 19.2 3.2 9.17 4.26 ## 68 68 0=Blood Donor 37 m 43.6 72.8 51.4 43.7 13.8 8.16 4.88 ## 69 69 0=Blood Donor 37 m 46.4 53.3 20.2 24.9 8.7 8.63 5.90 ## 70 70 0=Blood Donor 37 m 48.7 62.3 21.0 21.1 41.9 9.71 4.02 ## 71 71 0=Blood Donor 38 m 48.1 63.2 11.7 14.7 5.1 8.83 3.87 ## 72 72 0=Blood Donor 38 m 39.9 62.9 71.7 43.9 10.4 10.90 7.01 ## 73 73 0=Blood Donor 38 m 45.5 50.2 16.3 22.8 10.9 8.73 5.88 ## 74 74 0=Blood Donor 38 m 43.4 58.9 45.7 45.7 9.2 10.86 5.74 ## 75 75 0=Blood Donor 38 m 41.2 43.8 19.9 20.5 10.1 5.95 3.91 ## 76 76 0=Blood Donor 38 m 44.7 69.4 47.4 35.1 16.7 6.90 4.14 ## 77 77 0=Blood Donor 38 m 42.0 42.7 34.8 42.2 3.3 6.10 4.74 ## 78 78 0=Blood Donor 38 m 48.4 44.9 23.4 22.1 7.9 10.53 7.51 ## 79 79 0=Blood Donor 38 m 38.3 81.5 65.9 35.3 14.0 11.00 5.46 ## 80 80 0=Blood Donor 38 m 40.5 61.7 18.6 24.7 6.7 8.47 6.05 ## 81 81 0=Blood Donor 39 m 45.1 63.9 26.0 21.3 9.3 8.57 5.24 ## 82 82 0=Blood Donor 39 m 38.8 52.5 54.3 31.3 10.1 10.68 6.26 ## 83 83 0=Blood Donor 39 m 47.0 66.5 24.8 29.1 10.5 10.04 6.26 ## 84 84 0=Blood Donor 39 m 36.6 71.3 28.9 25.9 6.1 5.70 4.66 ## 85 85 0=Blood Donor 39 m 43.9 90.1 87.9 60.6 8.6 9.94 4.64 ## 86 86 0=Blood Donor 39 m 43.4 48.6 33.4 35.0 23.4 9.68 5.55 ## 87 87 0=Blood Donor 39 m 36.0 36.5 21.5 25.7 3.3 8.43 4.85 ## 88 88 0=Blood Donor 39 m 45.7 73.4 45.5 33.8 5.0 9.07 4.41 ## 89 89 0=Blood Donor 39 m 37.5 80.2 32.6 25.3 2.7 9.30 6.85 ## 90 90 0=Blood Donor 39 m 46.4 102.9 44.4 26.2 4.1 9.29 8.89 ## 91 91 0=Blood Donor 39 m 45.8 62.5 20.7 22.8 45.5 8.61 4.78 ## 92 92 0=Blood Donor 39 m 46.1 77.1 34.9 37.6 4.1 13.86 8.11 ## 93 93 0=Blood Donor 40 m 47.8 68.0 17.5 22.3 7.7 9.94 6.09 ## 94 94 0=Blood Donor 40 m 44.5 45.7 25.9 27.6 9.2 8.93 4.49 ## 95 95 0=Blood Donor 40 m 41.4 67.5 59.8 36.8 7.3 4.18 6.02 ## 96 96 0=Blood Donor 40 m 45.0 74.2 20.9 29.1 12.0 9.10 6.29 ## 97 97 0=Blood Donor 40 m 39.1 66.5 33.3 32.9 14.8 7.87 4.91 ## 98 98 0=Blood Donor 40 m 45.1 63.4 39.6 31.4 19.7 11.31 4.74 ## 99 99 0=Blood Donor 40 m 45.4 52.9 41.3 26.2 10.6 10.27 6.85 ## 100 100 0=Blood Donor 40 m 46.9 61.8 27.4 43.0 7.0 7.26 5.09 ## 101 101 0=Blood Donor 41 m 45.1 86.8 24.0 23.9 10.6 7.84 6.23 ## 102 102 0=Blood Donor 41 m 38.5 63.9 34.3 43.4 9.6 6.80 4.13 ## 103 103 0=Blood Donor 41 m 42.3 55.9 19.6 18.9 10.9 7.15 3.29 ## 104 104 0=Blood Donor 41 m 46.9 69.0 19.7 27.3 6.1 6.39 4.55 ## 105 105 0=Blood Donor 41 m 40.2 48.2 37.0 34.9 9.2 11.35 5.56 ## 106 106 0=Blood Donor 41 m 53.3 79.0 29.5 28.5 14.1 7.96 5.90 ## 107 107 0=Blood Donor 41 m 44.7 74.9 25.2 20.2 6.3 10.34 4.23 ## 108 108 0=Blood Donor 41 m 37.4 75.1 28.0 25.7 4.1 10.62 5.57 ## 109 109 0=Blood Donor 42 m 45.3 55.3 31.0 50.0 18.5 15.43 5.88 ## 110 110 0=Blood Donor 42 m 44.1 46.8 23.8 19.4 7.0 10.83 6.28 ## 111 111 0=Blood Donor 42 m 37.8 78.6 51.4 31.8 10.1 9.66 6.15 ## 112 112 0=Blood Donor 42 m 46.3 71.4 30.3 22.5 26.9 7.95 7.30 ## 113 113 0=Blood Donor 42 m 46.4 43.7 18.7 24.3 6.3 6.59 4.78 ## 114 114 0=Blood Donor 42 m 38.1 88.7 46.7 37.0 12.5 7.26 6.76 ## 115 115 0=Blood Donor 42 m 46.9 68.7 118.1 49.3 20.2 7.93 5.62 ## 116 116 0=Blood Donor 42 m 37.8 83.7 25.3 20.0 18.6 7.52 5.07 ## 117 117 0=Blood Donor 42 m 46.2 57.7 35.6 22.9 14.8 11.01 8.60 ## 118 118 0=Blood Donor 43 m 37.0 82.0 25.3 26.2 5.4 8.42 4.96 ## 119 119 0=Blood Donor 43 m 39.7 126.0 21.9 28.9 16.2 8.48 5.30 ## 120 120 0=Blood Donor 43 m 54.4 99.3 40.2 29.5 6.1 8.84 5.92 ## 121 121 0=Blood Donor 43 m 36.3 67.3 28.7 27.9 5.5 8.55 5.27 ## 122 122 0=Blood Donor 43 m 48.6 45.0 10.5 40.5 5.3 7.09 NA ## 123 123 0=Blood Donor 43 m 42.9 50.7 26.4 22.0 6.4 10.20 4.72 ## 124 124 0=Blood Donor 43 m 39.4 61.8 55.0 32.5 7.1 11.94 7.84 ## 125 125 0=Blood Donor 43 m 41.5 75.6 15.3 21.2 5.2 7.36 4.71 ## 126 126 0=Blood Donor 43 m 42.8 76.9 57.7 33.0 11.3 9.63 9.43 ## 127 127 0=Blood Donor 43 m 43.9 40.7 35.8 188.7 8.7 7.70 5.41 ## 128 128 0=Blood Donor 43 m 41.2 59.4 34.3 24.2 4.1 9.64 4.93 ## 129 129 0=Blood Donor 44 m 44.4 84.9 28.0 26.1 33.9 10.28 4.68 ## 130 130 0=Blood Donor 44 m 38.4 110.8 17.2 30.7 4.6 9.51 5.12 ## 131 131 0=Blood Donor 44 m 44.5 93.6 27.5 25.5 5.4 7.79 4.59 ## 132 132 0=Blood Donor 44 m 37.4 105.7 16.2 21.3 5.2 8.69 6.02 ## 133 133 0=Blood Donor 44 m 35.5 81.7 27.5 29.5 6.4 8.81 6.65 ## 134 134 0=Blood Donor 44 m 44.0 84.3 47.4 31.3 4.1 10.28 5.42 ## 135 135 0=Blood Donor 44 m 48.6 73.5 49.6 32.5 22.6 11.24 6.68 ## 136 136 0=Blood Donor 44 m 40.8 71.6 17.2 21.0 3.5 7.38 4.46 ## 137 137 0=Blood Donor 44 m 47.3 43.9 16.2 19.3 4.7 10.02 5.85 ## 138 138 0=Blood Donor 44 m 44.6 53.9 28.4 23.8 8.8 9.47 4.87 ## 139 139 0=Blood Donor 45 m 41.4 63.2 41.4 31.6 5.8 12.28 7.29 ## 140 140 0=Blood Donor 45 m 46.5 77.8 52.9 34.0 12.1 9.82 5.58 ## 141 141 0=Blood Donor 45 m 36.2 102.6 70.8 40.3 14.5 8.69 5.98 ## 142 142 0=Blood Donor 45 m 41.7 73.2 43.6 29.4 6.4 8.89 5.31 ## 143 143 0=Blood Donor 45 m 43.2 68.2 27.8 42.3 6.6 10.93 6.61 ## 144 144 0=Blood Donor 45 m 40.3 64.4 18.8 27.2 5.2 6.71 4.25 ## 145 145 0=Blood Donor 45 m 46.4 77.0 60.3 32.9 8.8 9.38 6.27 ## 146 146 0=Blood Donor 45 m 44.3 71.5 15.9 16.3 7.3 8.00 5.35 ## 147 147 0=Blood Donor 45 m 45.7 75.4 41.4 28.6 7.7 10.88 6.25 ## 148 148 0=Blood Donor 46 m 42.6 61.6 18.6 21.4 10.2 7.00 6.13 ## 149 149 0=Blood Donor 46 m 35.7 49.2 22.7 23.0 17.4 8.51 5.85 ## 150 150 0=Blood Donor 46 m 39.7 40.3 14.6 22.3 5.3 6.30 4.66 ## 151 151 0=Blood Donor 46 m 37.9 79.9 17.7 20.1 12.7 10.10 5.38 ## 152 152 0=Blood Donor 46 m 41.8 65.6 30.5 28.2 6.1 10.68 4.72 ## 153 153 0=Blood Donor 46 m 47.7 51.6 19.7 21.8 6.3 7.25 5.19 ## 154 154 0=Blood Donor 46 m 44.8 98.0 41.0 30.6 4.0 10.92 7.42 ## 155 155 0=Blood Donor 46 m 49.1 60.0 19.5 20.5 3.1 7.81 5.02 ## 156 156 0=Blood Donor 46 m 43.0 41.0 15.1 20.7 5.1 7.87 5.35 ## 157 157 0=Blood Donor 46 m 45.9 80.1 67.5 36.7 2.9 8.73 4.68 ## 158 158 0=Blood Donor 46 m 49.7 48.2 11.5 17.6 11.2 6.74 3.71 ## 159 159 0=Blood Donor 46 m 37.3 91.6 33.4 35.9 2.6 9.74 6.73 ## 160 160 0=Blood Donor 46 m 47.4 55.9 35.2 33.5 10.2 10.61 4.95 ## 161 161 0=Blood Donor 46 m 51.8 82.6 37.3 29.1 13.4 9.97 7.40 ## 162 162 0=Blood Donor 47 m 44.7 59.3 27.8 30.5 6.9 7.37 5.10 ## 163 163 0=Blood Donor 47 m 41.6 61.0 31.5 25.6 7.3 8.59 5.66 ## 164 164 0=Blood Donor 47 m 49.5 75.2 29.6 29.0 7.3 10.67 5.96 ## 165 165 0=Blood Donor 47 m 40.8 42.8 39.0 31.7 23.5 6.44 4.86 ## 166 166 0=Blood Donor 47 m 48.0 66.5 17.5 23.2 9.9 7.09 5.06 ## 167 167 0=Blood Donor 47 m 42.1 81.6 26.4 26.4 5.5 10.50 5.95 ## 168 168 0=Blood Donor 47 m 42.2 52.9 20.7 27.1 13.9 10.15 5.15 ## 169 169 0=Blood Donor 47 m 48.3 59.3 49.9 31.7 7.1 11.09 5.56 ## 170 170 0=Blood Donor 47 m 46.2 63.0 7.0 17.4 6.5 7.06 5.23 ## 171 171 0=Blood Donor 47 m 45.3 51.6 18.4 16.9 7.1 8.96 4.29 ## 172 172 0=Blood Donor 47 m 36.7 44.8 29.3 23.5 6.9 7.38 4.44 ## 173 173 0=Blood Donor 47 m 48.0 56.4 23.0 25.7 6.5 8.32 6.30 ## 174 174 0=Blood Donor 47 m 55.4 61.2 25.4 32.9 28.3 8.39 5.25 ## 175 175 0=Blood Donor 48 m 42.5 69.2 44.6 28.3 15.8 11.92 6.76 ## 176 176 0=Blood Donor 48 m 46.2 59.9 14.6 25.7 5.3 6.93 6.29 ## 177 177 0=Blood Donor 48 m 38.2 94.9 32.0 29.4 21.5 7.93 5.36 ## 178 178 0=Blood Donor 48 m 43.1 83.9 20.8 27.4 18.3 9.82 6.14 ## 179 179 0=Blood Donor 48 m 44.7 56.4 20.9 24.2 17.5 5.49 5.65 ## 180 180 0=Blood Donor 48 m 38.8 94.7 28.6 33.4 5.1 7.93 4.27 ## 181 181 0=Blood Donor 48 m 43.4 41.2 18.4 21.2 9.8 7.19 6.37 ## 182 182 0=Blood Donor 48 m 46.0 58.1 21.4 29.3 6.9 9.36 5.70 ## 183 183 0=Blood Donor 48 m 45.7 88.5 59.1 34.0 6.5 10.81 6.25 ## 184 184 0=Blood Donor 48 m 42.6 69.1 17.6 28.3 7.7 15.40 5.07 ## 185 185 0=Blood Donor 48 m 46.4 64.1 29.3 27.6 13.2 10.07 8.28 ## 186 186 0=Blood Donor 48 m 50.4 34.6 37.2 28.0 17.3 10.87 6.97 ## 187 187 0=Blood Donor 49 m 39.1 62.1 23.8 19.6 3.5 9.19 4.82 ## 188 188 0=Blood Donor 49 m 39.7 77.3 20.2 19.0 8.8 7.26 4.98 ## 189 189 0=Blood Donor 49 m 41.2 96.0 25.0 27.7 15.6 7.12 5.61 ## 190 190 0=Blood Donor 49 m 44.7 60.2 34.6 28.5 7.1 10.14 5.68 ## 191 191 0=Blood Donor 49 m 44.4 63.3 13.5 16.4 7.3 11.19 4.49 ## 192 192 0=Blood Donor 49 m 40.2 73.8 17.9 23.6 7.6 7.99 5.31 ## 193 193 0=Blood Donor 49 m 44.3 84.1 29.0 29.0 16.2 8.18 4.65 ## 194 194 0=Blood Donor 49 m 47.8 67.9 44.2 29.9 6.9 8.76 6.23 ## 195 195 0=Blood Donor 50 m 40.0 87.8 87.5 52.6 4.8 8.70 6.46 ## 196 196 0=Blood Donor 50 m 46.6 66.3 19.5 23.7 18.5 8.27 5.73 ## 197 197 0=Blood Donor 50 m 44.3 82.5 38.6 32.9 7.3 8.57 5.95 ## 198 198 0=Blood Donor 50 m 45.7 62.6 55.9 24.3 12.8 10.79 6.42 ## 199 199 0=Blood Donor 50 m 43.5 76.2 13.1 18.8 5.6 8.11 4.55 ## 200 200 0=Blood Donor 50 m 36.0 51.0 26.1 29.0 6.5 7.50 5.75 ## 201 201 0=Blood Donor 50 m 35.5 59.4 43.9 35.8 7.6 11.23 6.56 ## 202 202 0=Blood Donor 50 m 40.3 70.5 46.4 32.3 6.8 8.11 4.06 ## 203 203 0=Blood Donor 50 m 43.8 56.9 29.5 32.8 4.1 7.77 5.80 ## 204 204 0=Blood Donor 50 m 43.1 73.7 19.0 21.8 2.9 9.45 6.06 ## 205 205 0=Blood Donor 50 m 39.7 96.5 54.8 30.8 3.3 8.98 5.66 ## 206 206 0=Blood Donor 50 m 42.2 145.0 27.5 37.9 4.5 13.71 8.80 ## 207 207 0=Blood Donor 51 m 38.0 54.8 23.8 28.6 13.5 6.33 4.65 ## 208 208 0=Blood Donor 51 m 36.8 98.5 25.5 27.7 5.0 9.49 6.08 ## 209 209 0=Blood Donor 51 m 47.2 78.1 27.4 23.9 8.4 10.14 6.54 ## 210 210 0=Blood Donor 51 m 42.6 69.1 17.6 28.3 7.7 15.40 5.07 ## 211 211 0=Blood Donor 51 m 42.0 84.3 14.7 19.2 3.2 8.19 4.68 ## 212 212 0=Blood Donor 51 m 45.9 66.7 31.8 28.1 9.0 10.08 5.61 ## 213 213 0=Blood Donor 51 m 50.8 56.0 33.2 32.9 6.3 11.33 5.93 ## 214 214 0=Blood Donor 51 m 46.3 69.4 20.1 26.8 4.5 9.99 4.14 ## 215 215 0=Blood Donor 52 m 42.3 72.6 47.4 23.8 6.0 8.62 7.20 ## 216 216 0=Blood Donor 52 m 42.2 72.2 47.9 23.7 8.6 11.91 6.29 ## 217 217 0=Blood Donor 52 m 82.2 82.2 37.0 23.7 7.8 8.90 6.09 ## 218 218 0=Blood Donor 52 m 39.3 63.6 20.7 25.3 4.4 8.26 5.35 ## 219 219 0=Blood Donor 52 m 46.8 85.5 15.2 31.9 10.3 9.09 6.56 ## 220 220 0=Blood Donor 52 m 44.7 43.5 40.9 47.2 10.4 10.08 5.00 ## 221 221 0=Blood Donor 52 m 37.2 73.6 28.9 29.8 6.6 6.80 4.94 ## 222 222 0=Blood Donor 52 m 40.7 78.6 43.3 27.1 13.4 10.95 5.22 ## 223 223 0=Blood Donor 52 m 41.2 67.4 20.4 18.8 4.3 8.51 4.97 ## 224 224 0=Blood Donor 52 m 46.6 72.2 35.0 41.1 4.6 7.70 6.92 ## 225 225 0=Blood Donor 52 m 41.0 61.4 28.7 34.8 5.4 9.36 6.66 ## 226 226 0=Blood Donor 52 m 41.6 59.1 26.3 25.6 3.0 9.55 4.50 ## 227 227 0=Blood Donor 53 m 45.3 53.0 39.6 31.3 9.6 9.96 7.22 ## 228 228 0=Blood Donor 53 m 38.7 104.0 66.9 34.3 7.8 8.07 4.60 ## 229 229 0=Blood Donor 53 m 44.5 61.2 14.4 18.1 8.0 6.95 5.00 ## 230 230 0=Blood Donor 53 m 49.0 86.0 28.9 23.9 11.8 6.09 4.00 ## 231 231 0=Blood Donor 53 m 37.8 98.1 30.5 21.1 4.0 5.02 4.42 ## 232 232 0=Blood Donor 53 m 44.8 119.7 29.2 20.7 6.0 13.80 8.78 ## 233 233 0=Blood Donor 53 m 40.5 76.1 27.8 22.0 6.3 11.14 6.96 ## 234 234 0=Blood Donor 53 m 41.7 45.3 23.2 25.1 10.8 5.68 5.78 ## 235 235 0=Blood Donor 53 m 38.1 82.5 8.0 17.5 2.4 9.13 6.28 ## 236 236 0=Blood Donor 53 m 49.2 71.8 42.8 29.4 6.8 15.10 6.24 ## 237 237 0=Blood Donor 54 m 46.9 74.7 36.2 52.6 6.1 8.84 5.20 ## 238 238 0=Blood Donor 54 m 46.0 70.2 18.6 24.7 24.1 7.83 6.24 ## 239 239 0=Blood Donor 54 m 43.0 67.0 36.1 26.1 5.0 10.20 5.98 ## 240 240 0=Blood Donor 54 m 46.4 75.1 54.1 39.6 10.6 6.59 7.43 ## 241 241 0=Blood Donor 54 m 40.8 72.0 25.9 29.2 8.5 7.10 5.79 ## 242 242 0=Blood Donor 54 m 41.6 100.4 51.8 35.7 4.3 10.37 7.29 ## 243 243 0=Blood Donor 55 m 44.1 60.0 26.3 25.9 5.1 7.23 7.30 ## 244 244 0=Blood Donor 55 m 39.0 45.8 23.5 21.2 2.4 8.41 7.73 ## 245 245 0=Blood Donor 55 m 42.9 92.6 21.6 26.1 7.4 12.86 5.73 ## 246 246 0=Blood Donor 55 m 40.0 44.9 10.2 14.1 2.6 5.98 4.55 ## 247 247 0=Blood Donor 55 m 46.2 87.1 36.9 21.0 4.5 7.55 6.33 ## 248 248 0=Blood Donor 55 m 47.6 71.9 25.8 24.5 5.8 9.24 4.63 ## 249 249 0=Blood Donor 55 m 28.1 65.5 16.6 17.5 2.8 5.58 4.39 ## 250 250 0=Blood Donor 55 m 44.7 71.6 22.9 22.1 5.5 6.82 4.61 ## 251 251 0=Blood Donor 55 m 41.5 59.5 15.4 16.2 6.8 6.35 5.22 ## 252 252 0=Blood Donor 56 m 39.9 62.9 27.2 22.8 7.7 5.74 6.75 ## 253 253 0=Blood Donor 56 m 39.4 97.9 28.2 24.7 5.9 10.40 6.61 ## 254 254 0=Blood Donor 56 m 42.9 50.0 20.4 22.1 5.4 7.28 5.37 ## 255 255 0=Blood Donor 56 m 37.9 49.2 16.6 15.7 3.7 9.90 5.30 ## 256 256 0=Blood Donor 56 m 42.1 45.6 30.0 26.7 6.1 8.90 6.40 ## 257 257 0=Blood Donor 56 m 40.2 37.1 30.1 25.1 10.2 9.69 4.93 ## 258 258 0=Blood Donor 56 m 49.5 56.3 22.1 24.9 11.5 8.56 4.69 ## 259 259 0=Blood Donor 56 m 45.7 45.3 19.5 27.0 9.3 10.62 6.04 ## 260 260 0=Blood Donor 57 m 59.7 64.5 17.3 21.2 18.9 12.07 3.97 ## 261 261 0=Blood Donor 57 m 43.5 56.2 60.4 37.3 7.3 6.79 5.99 ## 262 262 0=Blood Donor 57 m 43.3 86.8 21.2 22.2 6.8 7.87 4.91 ## 263 263 0=Blood Donor 57 m 46.4 80.1 20.2 23.9 19.2 8.02 5.31 ## 264 264 0=Blood Donor 58 m 44.0 56.0 30.6 33.0 4.8 12.37 6.33 ## 265 265 0=Blood Donor 58 m 46.8 79.3 38.0 24.1 4.7 9.51 5.07 ## 266 266 0=Blood Donor 58 m 41.3 58.9 12.8 23.4 5.4 8.17 5.70 ## 267 267 0=Blood Donor 58 m 40.9 55.8 17.5 23.0 5.3 8.52 6.41 ## 268 268 0=Blood Donor 59 m 45.7 115.4 16.4 23.8 3.7 8.20 4.46 ## 269 269 0=Blood Donor 59 m 45.3 106.5 13.5 19.2 6.9 7.97 4.86 ## 270 270 0=Blood Donor 59 m 41.9 72.4 19.3 25.5 29.8 5.60 3.09 ## 271 271 0=Blood Donor 59 m 39.8 49.4 25.4 21.4 24.7 7.50 3.69 ## 272 272 0=Blood Donor 59 m 38.4 61.2 15.9 27.2 3.0 6.88 6.89 ## 273 273 0=Blood Donor 59 m 48.9 50.3 23.7 28.1 15.8 8.97 4.33 ## 274 274 0=Blood Donor 59 m 43.8 46.6 28.3 27.4 6.1 10.56 5.47 ## 275 275 0=Blood Donor 59 m 37.8 83.7 25.3 20.0 18.6 7.52 5.07 ## 276 276 0=Blood Donor 60 m 42.2 48.8 41.0 34.8 3.6 9.60 5.60 ## 277 277 0=Blood Donor 60 m 46.3 59.7 24.4 30.4 18.0 7.05 6.20 ## 278 278 0=Blood Donor 60 m 40.4 46.8 17.7 25.7 13.5 5.79 5.42 ## 279 279 0=Blood Donor 60 m 43.4 71.5 10.2 17.4 7.5 8.11 5.31 ## 280 280 0=Blood Donor 60 m 41.1 67.2 49.0 34.4 16.4 10.14 4.65 ## 281 281 0=Blood Donor 60 m 45.2 89.4 38.6 27.2 8.6 5.19 6.01 ## 282 282 0=Blood Donor 61 m 45.9 73.3 17.1 24.3 4.8 10.01 4.95 ## 283 283 0=Blood Donor 61 m 43.4 70.1 19.9 24.0 3.6 6.89 4.58 ## 284 284 0=Blood Donor 61 m 34.3 60.5 35.4 26.6 15.2 9.03 7.62 ## 285 285 0=Blood Donor 61 m 44.8 104.9 15.0 18.8 6.5 9.38 5.42 ## 286 286 0=Blood Donor 61 m 38.9 59.5 22.8 30.9 6.3 9.45 5.23 ## 287 287 0=Blood Donor 62 m 42.1 51.4 11.8 21.8 2.7 5.70 5.25 ## 288 288 0=Blood Donor 62 m 46.6 98.0 36.7 29.4 7.0 7.56 5.52 ## 289 289 0=Blood Donor 62 m 39.6 42.7 31.3 30.9 13.5 7.17 3.81 ## 290 290 0=Blood Donor 62 m 44.7 76.5 43.7 27.5 6.9 9.94 5.74 ## 291 291 0=Blood Donor 63 m 39.5 59.6 26.2 25.4 12.4 6.78 6.18 ## 292 292 0=Blood Donor 63 m 45.3 71.3 16.6 24.1 5.7 8.92 4.69 ## 293 293 0=Blood Donor 63 m 40.8 74.3 25.0 27.5 5.5 7.74 6.35 ## 294 294 0=Blood Donor 64 m 46.0 75.9 34.8 30.6 10.8 9.43 6.69 ## 295 295 0=Blood Donor 64 m 40.1 66.7 18.3 22.5 5.7 9.65 6.37 ## 296 296 0=Blood Donor 64 m 35.1 72.5 27.2 30.5 20.8 7.99 6.47 ## 297 297 0=Blood Donor 64 m 44.5 87.8 15.1 23.2 12.3 9.49 7.70 ## 298 298 0=Blood Donor 65 m 41.0 81.8 27.9 23.6 9.1 7.46 5.84 ## 299 299 0=Blood Donor 65 m 43.1 64.8 43.1 35.6 9.5 9.60 4.03 ## 300 300 0=Blood Donor 65 m 34.8 66.2 51.9 37.5 6.6 8.39 5.91 ## 301 301 0=Blood Donor 65 m 44.7 99.4 31.9 30.5 12.2 7.15 6.31 ## 302 302 0=Blood Donor 65 m 39.1 45.8 23.1 27.5 6.4 7.00 6.23 ## 303 303 0=Blood Donor 65 m 43.6 104.0 32.3 34.2 7.7 8.23 4.69 ## 304 304 0=Blood Donor 66 m 48.4 76.0 31.9 29.6 13.8 8.81 4.17 ## 305 305 0=Blood Donor 66 m 40.6 79.6 27.0 28.0 10.1 10.88 5.48 ## 306 306 0=Blood Donor 66 m 32.6 58.3 20.3 27.3 9.4 9.40 6.80 ## 307 307 0=Blood Donor 66 m 41.0 61.4 28.7 34.8 5.4 9.36 6.66 ## 308 308 0=Blood Donor 67 m 44.8 72.8 39.4 28.4 23.3 7.84 7.02 ## 309 309 0=Blood Donor 67 m 44.4 86.5 25.2 27.3 9.1 8.85 6.43 ## 310 310 0=Blood Donor 67 m 38.7 83.8 19.4 25.8 8.7 7.95 5.53 ## 311 311 0=Blood Donor 68 m 42.9 71.1 15.0 34.8 9.3 8.39 6.64 ## 312 312 0=Blood Donor 68 m 39.3 76.7 19.7 24.6 6.3 10.51 4.15 ## 313 313 0=Blood Donor 70 m 27.8 85.7 25.4 38.9 4.2 6.06 3.96 ## 314 314 0=Blood Donor 70 m 41.0 63.5 16.9 21.6 5.9 6.03 4.74 ## 315 315 0=Blood Donor 71 m 39.0 87.9 26.1 32.1 12.2 10.30 6.31 ## 316 316 0=Blood Donor 76 m 29.2 48.9 25.2 27.2 8.3 4.52 2.79 ## 317 317 0=Blood Donor 76 m 38.0 97.1 28.6 33.1 14.1 4.83 5.56 ## 318 318 0=Blood Donor 77 m 52.2 52.2 12.0 23.5 10.9 5.51 4.41 ## 319 319 0=Blood Donor 32 f 39.9 35.2 22.0 29.8 6.3 8.16 4.37 ## 320 320 0=Blood Donor 32 f 47.4 52.5 19.1 17.1 4.6 10.19 NA ## 321 321 0=Blood Donor 32 f 41.1 42.8 10.1 14.1 23.2 6.08 3.75 ## 322 322 0=Blood Donor 32 f 43.5 66.2 9.2 17.8 5.7 7.14 4.38 ## 323 323 0=Blood Donor 33 f 36.0 77.5 14.8 22.0 4.4 8.61 5.26 ## 324 324 0=Blood Donor 33 f 36.9 51.7 17.4 22.0 8.3 7.00 5.02 ## 325 325 0=Blood Donor 33 f 44.3 74.0 49.7 52.3 8.5 6.49 3.34 ## 326 326 0=Blood Donor 33 f 38.1 35.2 11.9 18.3 3.0 6.09 5.22 ## 327 327 0=Blood Donor 33 f 41.0 61.1 27.0 28.0 6.0 8.36 4.93 ## 328 328 0=Blood Donor 33 f 38.2 54.4 17.3 21.2 7.1 8.67 5.69 ## 329 329 0=Blood Donor 33 f 47.6 95.5 18.8 22.2 2.4 7.84 5.57 ## 330 330 0=Blood Donor 33 f 42.4 137.2 14.2 13.1 3.4 8.23 NA ## 331 331 0=Blood Donor 33 f 45.9 72.0 37.8 33.5 17.7 7.32 4.25 ## 332 332 0=Blood Donor 33 f 35.4 53.5 9.8 17.6 3.8 6.00 4.48 ## 333 333 0=Blood Donor 33 f 38.5 82.2 11.9 17.0 7.3 7.23 3.92 ## 334 334 0=Blood Donor 33 f 41.2 73.1 14.3 20.8 11.1 7.40 3.22 ## 335 335 0=Blood Donor 33 f 40.6 73.7 12.6 16.3 3.1 7.75 6.36 ## 336 336 0=Blood Donor 34 f 37.3 36.3 19.9 28.7 3.8 3.90 4.94 ## 337 337 0=Blood Donor 34 f 41.9 47.4 20.8 28.5 8.0 7.66 4.61 ## 338 338 0=Blood Donor 34 f 36.3 63.2 21.4 20.4 4.6 7.41 5.17 ## 339 339 0=Blood Donor 34 f 36.2 70.9 14.3 21.6 3.7 9.82 5.59 ## 340 340 0=Blood Donor 34 f 46.5 52.3 30.5 32.3 5.7 9.05 6.28 ## 341 341 0=Blood Donor 34 f 45.5 76.9 17.4 18.6 3.2 8.45 5.10 ## 342 342 0=Blood Donor 34 f 39.7 39.3 11.2 16.4 8.4 5.27 4.68 ## 343 343 0=Blood Donor 35 f 41.0 62.6 27.9 12.0 12.8 10.34 5.90 ## 344 344 0=Blood Donor 35 f 40.5 72.4 14.5 17.9 5.8 9.38 4.13 ## 345 345 0=Blood Donor 35 f 43.4 62.6 19.2 22.0 3.0 10.03 5.07 ## 346 346 0=Blood Donor 35 f 45.6 38.2 22.0 21.9 3.0 6.94 4.69 ## 347 347 0=Blood Donor 35 f 62.9 51.2 20.7 23.0 2.9 6.33 4.62 ## 348 348 0=Blood Donor 35 f 42.0 69.0 19.9 16.6 10.8 7.85 4.43 ## 349 349 0=Blood Donor 35 f 38.0 51.3 18.3 15.3 3.9 8.63 4.91 ## 350 350 0=Blood Donor 35 f 46.9 50.8 35.4 22.1 13.1 8.27 5.70 ## 351 351 0=Blood Donor 35 f 46.1 88.7 23.1 20.0 7.7 8.41 4.79 ## 352 352 0=Blood Donor 35 f 44.7 83.2 25.3 22.6 3.9 8.02 5.73 ## 353 353 0=Blood Donor 36 f 46.4 69.1 17.7 24.3 6.6 6.50 5.62 ## 354 354 0=Blood Donor 36 f 39.7 52.0 39.9 33.5 2.9 9.00 4.18 ## 355 355 0=Blood Donor 36 f 39.9 59.0 11.3 20.4 9.4 7.60 5.51 ## 356 356 0=Blood Donor 36 f 42.7 55.1 12.4 16.0 6.8 6.63 5.05 ## 357 357 0=Blood Donor 37 f 39.2 58.1 12.0 21.0 5.3 5.96 5.80 ## 358 358 0=Blood Donor 37 f 42.1 47.5 18.3 21.7 2.8 8.29 4.36 ## 359 359 0=Blood Donor 37 f 40.5 47.3 15.3 19.4 4.9 5.40 3.95 ## 360 360 0=Blood Donor 38 f 40.0 73.5 16.6 19.2 8.3 5.23 5.52 ## 361 361 0=Blood Donor 38 f 48.5 56.2 36.0 27.9 15.3 11.07 6.06 ## 362 362 0=Blood Donor 38 f 50.3 92.1 40.1 30.9 4.2 10.02 3.97 ## 363 363 0=Blood Donor 38 f 41.2 61.9 19.4 22.9 10.5 7.86 3.61 ## 364 364 0=Blood Donor 38 f 40.3 87.2 21.4 23.9 5.5 7.52 5.73 ## 365 365 0=Blood Donor 38 f 40.0 79.3 11.9 22.0 6.5 8.33 4.58 ## 366 366 0=Blood Donor 39 f 31.4 106.0 16.6 17.0 2.4 5.95 5.30 ## 367 367 0=Blood Donor 39 f 46.4 59.2 14.1 18.9 4.5 7.90 4.55 ## 368 368 0=Blood Donor 40 f 41.7 55.3 12.4 23.5 8.2 4.80 5.32 ## 369 369 0=Blood Donor 40 f 41.6 60.4 14.7 16.3 5.7 7.61 4.57 ## 370 370 0=Blood Donor 40 f 43.2 42.4 15.7 23.6 9.7 7.56 6.74 ## 371 371 0=Blood Donor 40 f 42.9 54.7 46.2 32.8 11.8 8.29 5.25 ## 372 372 0=Blood Donor 40 f 39.9 50.2 14.9 20.4 5.1 6.49 4.92 ## 373 373 0=Blood Donor 41 f 40.4 75.7 24.3 25.2 6.0 8.95 6.01 ## 374 374 0=Blood Donor 41 f 42.4 51.3 16.3 18.3 4.0 6.68 4.24 ## 375 375 0=Blood Donor 41 f 39.3 67.9 17.6 23.4 3.7 6.57 4.33 ## 376 376 0=Blood Donor 41 f 46.2 48.3 15.8 16.6 4.3 4.55 5.18 ## 377 377 0=Blood Donor 41 f 39.8 67.9 19.4 19.5 12.2 7.41 5.02 ## 378 378 0=Blood Donor 42 f 43.4 54.0 11.3 21.3 1.8 6.43 4.43 ## 379 379 0=Blood Donor 42 f 38.7 64.1 35.9 27.8 6.0 8.18 4.87 ## 380 380 0=Blood Donor 43 f 37.6 77.1 8.3 15.9 12.5 8.37 4.49 ## 381 381 0=Blood Donor 43 f 44.1 41.4 17.6 19.8 7.4 7.52 6.05 ## 382 382 0=Blood Donor 43 f 41.2 38.2 18.6 20.5 9.3 6.15 5.44 ## 383 383 0=Blood Donor 43 f 39.0 83.1 21.3 18.8 3.5 12.80 9.03 ## 384 384 0=Blood Donor 43 f 39.0 63.0 7.3 17.5 6.4 7.01 4.94 ## 385 385 0=Blood Donor 43 f 34.7 80.7 27.0 27.9 3.7 7.18 5.55 ## 386 386 0=Blood Donor 43 f 44.8 58.8 23.0 30.1 6.6 8.70 6.08 ## 387 387 0=Blood Donor 43 f 33.7 57.5 15.1 24.8 6.9 7.91 5.37 ## 388 388 0=Blood Donor 43 f 47.8 40.9 12.9 17.2 5.5 4.31 3.96 ## 389 389 0=Blood Donor 44 f 37.4 28.9 16.8 25.8 3.1 6.70 4.45 ## 390 390 0=Blood Donor 44 f 45.6 57.6 21.0 19.1 3.7 10.36 6.68 ## 391 391 0=Blood Donor 44 f 35.5 60.0 13.7 15.0 9.1 6.71 5.29 ## 392 392 0=Blood Donor 44 f 44.0 86.1 15.6 26.1 7.6 6.23 4.72 ## 393 393 0=Blood Donor 44 f 48.3 103.3 37.2 41.5 7.0 7.49 5.04 ## 394 394 0=Blood Donor 44 f 35.8 65.7 21.2 19.2 4.3 10.19 6.13 ## 395 395 0=Blood Donor 44 f 43.0 86.5 18.3 25.0 2.2 8.45 5.90 ## 396 396 0=Blood Donor 44 f 36.3 76.4 17.1 20.8 4.6 6.80 4.27 ## 397 397 0=Blood Donor 44 f 35.5 71.0 15.8 30.0 3.7 7.56 4.43 ## 398 398 0=Blood Donor 45 f 36.7 54.9 25.5 25.3 5.7 6.91 5.42 ## 399 399 0=Blood Donor 45 f 39.5 92.2 18.7 19.4 3.5 8.32 5.38 ## 400 400 0=Blood Donor 45 f 38.6 56.0 20.6 21.5 14.1 6.92 5.48 ## 401 401 0=Blood Donor 45 f 41.7 62.4 15.9 16.8 3.7 4.38 5.05 ## 402 402 0=Blood Donor 45 f 41.8 87.5 37.1 25.6 10.3 10.25 4.56 ## 403 403 0=Blood Donor 45 f 46.4 49.1 14.9 25.5 11.0 8.77 2.86 ## 404 404 0=Blood Donor 45 f 37.5 54.3 12.9 14.8 5.9 6.95 5.29 ## 405 405 0=Blood Donor 45 f 37.0 78.2 19.9 19.1 4.3 6.60 4.73 ## 406 406 0=Blood Donor 45 f 59.8 59.8 13.2 17.4 6.9 5.62 6.42 ## 407 407 0=Blood Donor 46 f 48.8 66.3 19.7 23.6 4.3 10.57 5.88 ## 408 408 0=Blood Donor 46 f 36.7 62.3 10.8 17.4 3.7 6.17 4.07 ## 409 409 0=Blood Donor 46 f 35.8 50.8 18.6 25.2 3.8 8.50 5.85 ## 410 410 0=Blood Donor 46 f 39.9 71.3 15.4 29.5 4.6 5.95 6.94 ## 411 411 0=Blood Donor 46 f 32.4 56.5 23.8 24.8 6.4 8.22 5.19 ## 412 412 0=Blood Donor 46 f 40.1 70.1 15.7 23.8 6.0 8.41 6.03 ## 413 413 0=Blood Donor 46 f 39.9 73.9 14.0 17.2 16.3 6.93 5.11 ## 414 414 0=Blood Donor 46 f 42.9 55.1 15.2 29.8 3.6 8.37 NA ## 415 415 0=Blood Donor 46 f 41.1 47.5 21.0 17.7 7.1 7.55 4.42 ## 416 416 0=Blood Donor 46 f 42.3 61.9 20.0 21.8 9.7 8.80 7.09 ## 417 417 0=Blood Donor 46 f 37.9 59.5 33.0 25.0 3.7 6.06 5.30 ## 418 418 0=Blood Donor 46 f 36.8 113.2 31.2 24.8 3.8 9.60 4.83 ## 419 419 0=Blood Donor 46 f 51.3 84.1 40.6 43.6 9.2 7.10 5.62 ## 420 420 0=Blood Donor 47 f 35.6 37.5 17.6 18.0 4.7 4.32 5.59 ## 421 421 0=Blood Donor 47 f 38.7 43.4 12.1 19.4 3.0 5.35 4.60 ## 422 422 0=Blood Donor 47 f 36.4 42.0 11.1 18.3 7.2 4.97 5.47 ## 423 423 0=Blood Donor 47 f 34.6 54.1 10.2 15.3 8.4 6.50 5.10 ## 424 424 0=Blood Donor 47 f 40.3 65.0 13.5 15.2 6.4 7.16 4.55 ## 425 425 0=Blood Donor 48 f 45.6 107.2 24.4 39.0 13.8 9.77 NA ## 426 426 0=Blood Donor 48 f 35.2 45.4 23.4 27.1 4.9 6.83 4.35 ## 427 427 0=Blood Donor 48 f 39.2 51.0 15.3 18.4 7.6 9.17 6.66 ## 428 428 0=Blood Donor 48 f 32.0 66.3 14.2 21.3 5.5 4.72 5.23 ## 429 429 0=Blood Donor 48 f 46.3 71.8 23.0 25.2 11.1 9.41 5.84 ## 430 430 0=Blood Donor 48 f 45.3 40.6 18.5 27.7 5.7 7.48 4.64 ## 431 431 0=Blood Donor 48 f 37.5 88.3 14.7 19.6 5.4 9.28 4.68 ## 432 432 0=Blood Donor 48 f 39.6 65.9 64.3 39.5 2.8 8.80 6.14 ## 433 433 0=Blood Donor 48 f 43.7 50.1 17.3 26.3 8.1 8.15 5.38 ## 434 434 0=Blood Donor 48 f 46.8 93.3 10.0 23.2 4.3 12.41 NA ## 435 435 0=Blood Donor 48 f 42.5 62.2 12.1 20.1 23.1 4.01 5.58 ## 436 436 0=Blood Donor 48 f 44.4 52.5 16.4 23.4 4.5 9.06 6.78 ## 437 437 0=Blood Donor 48 f 44.4 64.5 17.2 21.1 17.3 4.93 4.05 ## 438 438 0=Blood Donor 48 f 38.8 43.9 12.8 13.3 8.6 5.63 5.31 ## 439 439 0=Blood Donor 49 f 38.8 120.2 25.2 21.5 12.0 8.29 7.11 ## 440 440 0=Blood Donor 49 f 40.9 58.4 20.1 26.5 2.6 9.77 5.99 ## 441 441 0=Blood Donor 49 f 39.1 89.4 15.4 24.1 4.1 10.03 8.36 ## 442 442 0=Blood Donor 49 f 39.3 59.4 18.3 15.0 4.8 8.03 4.58 ## 443 443 0=Blood Donor 49 f 40.5 31.3 16.2 19.4 11.2 4.95 5.10 ## 444 444 0=Blood Donor 49 f 34.9 37.9 15.3 19.4 7.1 5.30 5.88 ## 445 445 0=Blood Donor 49 f 45.4 45.9 14.3 15.9 5.8 9.05 6.81 ## 446 446 0=Blood Donor 49 f 43.3 71.5 28.4 26.0 6.2 7.68 5.91 ## 447 447 0=Blood Donor 50 f 36.9 50.6 15.5 21.7 2.1 9.97 7.01 ## 448 448 0=Blood Donor 50 f 47.6 77.2 24.0 17.5 4.8 9.27 6.41 ## 449 449 0=Blood Donor 50 f 42.5 74.0 10.9 23.0 4.6 9.42 6.33 ## 450 450 0=Blood Donor 50 f 39.9 80.5 24.2 22.8 5.2 9.25 7.41 ## 451 451 0=Blood Donor 50 f 41.2 45.6 25.0 25.1 4.1 7.16 6.54 ## 452 452 0=Blood Donor 50 f 34.6 63.0 24.7 31.0 12.8 6.55 5.95 ## 453 453 0=Blood Donor 51 f 46.3 70.5 75.2 69.2 6.1 7.68 4.73 ## 454 454 0=Blood Donor 51 f 37.8 80.7 32.9 27.3 6.2 7.29 5.26 ## 455 455 0=Blood Donor 51 f 38.3 52.9 12.4 16.5 3.8 7.22 5.43 ## 456 456 0=Blood Donor 51 f 39.6 63.5 17.0 25.9 7.3 7.00 6.97 ## 457 457 0=Blood Donor 51 f 38.3 67.7 17.4 19.9 5.4 7.50 4.94 ## 458 458 0=Blood Donor 51 f 43.1 52.2 18.5 24.1 8.1 7.52 6.76 ## 459 459 0=Blood Donor 51 f 41.4 136.9 33.2 20.0 5.0 10.27 6.24 ## 460 460 0=Blood Donor 51 f 41.0 81.2 35.1 33.3 5.2 8.90 6.56 ## 461 461 0=Blood Donor 51 f 46.0 71.0 18.1 23.8 59.1 5.99 3.25 ## 462 462 0=Blood Donor 51 f 39.6 43.0 16.3 19.6 7.5 5.57 4.96 ## 463 463 0=Blood Donor 51 f 47.4 117.3 62.1 30.4 3.8 10.43 6.59 ## 464 464 0=Blood Donor 51 f 43.7 61.3 18.0 23.3 4.3 9.57 6.04 ## 465 465 0=Blood Donor 52 f 45.5 78.2 25.2 27.7 4.7 8.65 6.04 ## 466 466 0=Blood Donor 52 f 43.8 52.0 15.5 23.9 6.0 7.93 5.41 ## 467 467 0=Blood Donor 52 f 36.0 47.2 19.6 22.5 5.9 7.85 5.69 ## 468 468 0=Blood Donor 52 f 41.7 58.3 22.9 26.7 11.4 9.17 4.33 ## 469 469 0=Blood Donor 52 f 40.2 89.7 26.8 19.1 6.9 9.10 7.04 ## 470 470 0=Blood Donor 52 f 51.5 81.8 26.3 20.6 7.8 6.74 5.90 ## 471 471 0=Blood Donor 52 f 36.7 87.6 34.3 30.8 17.7 10.12 6.98 ## 472 472 0=Blood Donor 52 f 41.3 77.4 16.6 22.2 5.0 7.57 7.80 ## 473 473 0=Blood Donor 52 f 38.2 70.3 19.5 17.5 2.7 10.02 6.17 ## 474 474 0=Blood Donor 53 f 42.4 55.0 20.9 42.4 7.7 6.60 4.26 ## 475 475 0=Blood Donor 53 f 39.0 76.0 25.9 20.7 2.8 11.11 6.38 ## 476 476 0=Blood Donor 53 f 40.1 84.6 23.0 22.1 7.1 8.40 5.16 ## 477 477 0=Blood Donor 53 f 43.7 84.3 18.8 18.6 8.5 10.22 6.65 ## 478 478 0=Blood Donor 53 f 43.5 61.7 16.9 20.3 7.0 7.19 6.97 ## 479 479 0=Blood Donor 53 f 41.1 91.7 13.8 19.6 3.4 7.87 5.48 ## 480 480 0=Blood Donor 53 f 38.0 84.7 23.5 19.8 10.8 7.30 4.82 ## 481 481 0=Blood Donor 53 f 47.4 66.9 24.3 32.6 14.9 10.51 6.03 ## 482 482 0=Blood Donor 53 f 51.3 84.1 40.6 43.6 9.2 7.10 5.62 ## 483 483 0=Blood Donor 54 f 39.9 30.7 17.0 19.3 6.3 6.99 4.95 ## 484 484 0=Blood Donor 54 f 26.2 72.9 28.5 28.8 5.5 7.49 4.91 ## 485 485 0=Blood Donor 54 f 44.5 53.4 13.4 17.5 5.4 7.74 5.55 ## 486 486 0=Blood Donor 54 f 39.9 61.2 23.3 24.5 4.5 9.22 5.47 ## 487 487 0=Blood Donor 54 f 43.3 76.5 19.9 22.4 7.0 8.04 6.77 ## 488 488 0=Blood Donor 55 f 41.9 86.1 19.3 22.3 7.0 8.21 5.05 ## 489 489 0=Blood Donor 55 f 36.2 101.3 19.2 21.9 4.9 6.50 5.86 ## 490 490 0=Blood Donor 55 f 35.2 69.6 23.6 26.0 3.8 4.97 4.43 ## 491 491 0=Blood Donor 55 f 39.9 83.6 18.4 27.4 8.0 8.43 7.67 ## 492 492 0=Blood Donor 56 f 39.7 66.0 14.2 20.8 3.5 7.48 5.88 ## 493 493 0=Blood Donor 56 f 39.5 86.9 22.5 22.2 4.7 9.40 6.02 ## 494 494 0=Blood Donor 56 f 34.7 90.3 22.7 21.6 3.5 8.07 5.45 ## 495 495 0=Blood Donor 56 f 36.6 102.3 13.5 14.9 8.4 6.94 5.50 ## 496 496 0=Blood Donor 56 f 33.2 54.3 15.5 22.8 8.0 5.61 3.87 ## 497 497 0=Blood Donor 56 f 45.1 79.1 39.0 30.5 5.2 6.47 5.10 ## 498 498 0=Blood Donor 56 f 39.9 83.8 19.1 23.6 4.3 7.61 6.06 ## 499 499 0=Blood Donor 57 f 48.4 94.4 2.5 39.6 2.3 8.84 NA ## 500 500 0=Blood Donor 57 f 41.2 83.5 32.6 39.3 4.0 10.67 8.46 ## 501 501 0=Blood Donor 57 f 42.6 57.1 15.0 18.9 5.3 8.90 5.93 ## 502 502 0=Blood Donor 57 f 38.6 80.9 33.1 26.7 6.5 6.45 5.10 ## 503 503 0=Blood Donor 57 f 27.3 85.1 18.4 25.4 2.2 8.96 6.66 ## 504 504 0=Blood Donor 57 f 37.9 50.3 12.2 18.1 3.5 6.72 5.06 ## 505 505 0=Blood Donor 57 f 38.7 62.8 21.8 29.2 9.2 6.55 7.08 ## 506 506 0=Blood Donor 57 f 48.0 56.9 8.6 20.1 4.4 8.14 6.90 ## 507 507 0=Blood Donor 57 f 44.7 60.6 16.5 24.3 4.2 10.47 4.90 ## 508 508 0=Blood Donor 57 f 42.7 62.9 11.2 16.6 11.6 12.70 6.25 ## 509 509 0=Blood Donor 58 f 35.3 91.4 14.7 21.0 18.0 6.58 5.51 ## 510 510 0=Blood Donor 58 f 26.3 52.5 39.5 77.2 5.8 5.15 3.53 ## 511 511 0=Blood Donor 58 f 47.0 74.8 36.1 28.9 5.3 9.82 6.71 ## 512 512 0=Blood Donor 59 f 43.0 82.4 33.1 30.0 7.5 9.20 7.43 ## 513 513 0=Blood Donor 59 f 45.1 78.0 26.0 32.4 9.0 9.85 7.32 ## 514 514 0=Blood Donor 59 f 40.0 68.4 13.2 20.3 8.2 9.10 6.38 ## 515 515 0=Blood Donor 60 f 40.5 86.0 26.0 27.6 5.7 8.60 4.90 ## 516 516 0=Blood Donor 60 f 35.8 75.5 28.7 21.5 2.0 9.05 4.56 ## 517 517 0=Blood Donor 60 f 52.4 88.2 50.2 31.7 8.8 8.49 5.00 ## 518 518 0=Blood Donor 60 f 40.1 80.7 34.6 31.2 11.9 9.32 6.94 ## 519 519 0=Blood Donor 60 f 45.4 51.4 16.4 19.0 6.8 10.78 6.79 ## 520 520 0=Blood Donor 60 f 41.4 85.1 15.6 18.6 10.0 8.31 5.34 ## 521 521 0=Blood Donor 61 f 38.1 66.4 11.8 22.7 6.8 6.35 6.55 ## 522 522 0=Blood Donor 61 f 43.4 47.5 12.8 17.3 5.6 7.52 5.81 ## 523 523 0=Blood Donor 62 f 36.6 82.5 18.2 24.3 10.6 9.82 7.12 ## 524 524 0=Blood Donor 62 f 35.4 59.7 21.2 24.7 3.3 9.00 7.45 ## 525 525 0=Blood Donor 62 f 44.0 46.6 24.8 25.5 7.6 6.75 4.59 ## 526 526 0=Blood Donor 63 f 47.6 59.9 21.1 27.8 8.4 9.24 6.08 ## 527 527 0=Blood Donor 63 f 36.1 67.6 13.8 12.2 5.8 9.44 6.88 ## 528 528 0=Blood Donor 63 f 27.8 85.7 25.4 38.9 4.2 6.06 3.96 ## 529 529 0=Blood Donor 64 f 39.8 68.1 20.5 24.8 5.8 7.53 7.58 ## 530 530 0=Blood Donor 64 f 43.0 52.7 31.6 29.2 5.5 11.69 6.00 ## 531 531 0=Blood Donor 65 f 33.0 74.3 13.2 16.8 4.1 7.46 5.76 ## 532 532 0=Blood Donor 68 f 41.4 102.3 38.4 26.4 6.8 8.50 6.79 ## 533 533 0=Blood Donor 70 f 40.0 97.9 15.1 15.9 6.8 11.46 5.08 ## 534 534 0s=suspect Blood Donor 47 m 22.5 124.0 79.5 46.7 2.3 6.83 4.30 ## 535 535 0s=suspect Blood Donor 48 m 24.9 116.9 49.2 24.3 4.9 3.44 5.25 ## 536 536 0s=suspect Blood Donor 49 m 21.6 42.2 9.5 10.6 2.4 3.75 3.01 ## 537 537 0s=suspect Blood Donor 55 m 47.3 106.0 208.8 130.6 0.8 14.80 8.08 ## 538 538 0s=suspect Blood Donor 71 m 14.9 69.8 19.7 95.2 9.8 13.30 2.61 ## 539 539 0s=suspect Blood Donor 74 m 20.3 84.0 22.8 43.0 5.7 4.91 3.19 ## 540 540 0s=suspect Blood Donor 59 f 19.3 208.2 325.3 146.6 6.9 5.33 4.72 ## 541 541 1=Hepatitis 38 m 45.0 56.3 NA 33.1 7.0 9.58 6.00 ## 542 542 1=Hepatitis 19 m 41.0 NA 87.0 67.0 12.0 7.55 3.90 ## 543 543 1=Hepatitis 23 m 47.0 19.1 38.9 164.2 17.0 7.09 3.20 ## 544 544 1=Hepatitis 25 m 42.0 38.2 63.3 187.7 14.0 6.00 4.28 ## 545 545 1=Hepatitis 27 m 45.0 27.5 10.5 37.8 10.0 8.77 3.20 ## 546 546 1=Hepatitis 29 m 49.0 NA 53.0 39.0 15.0 8.79 3.60 ## 547 547 1=Hepatitis 30 m 45.0 NA 66.0 45.0 14.0 12.16 6.10 ## 548 548 1=Hepatitis 32 m 45.0 34.6 44.3 96.2 16.0 10.11 6.28 ## 549 549 1=Hepatitis 32 m 41.0 34.4 12.1 60.9 6.0 13.80 5.48 ## 550 550 1=Hepatitis 34 m 46.0 36.7 7.4 31.6 9.0 9.71 5.37 ## 551 551 1=Hepatitis 35 m 47.0 37.9 13.3 48.4 8.0 10.30 4.14 ## 552 552 1=Hepatitis 36 m 44.0 32.9 9.4 32.0 14.0 11.42 5.73 ## 553 553 1=Hepatitis 38 m 41.0 20.6 15.2 53.5 24.0 10.23 4.89 ## 554 554 1=Hepatitis 41 m 42.0 39.6 26.5 77.6 42.0 9.67 9.67 ## 555 555 1=Hepatitis 44 m 49.0 27.3 40.2 31.1 13.0 8.91 4.07 ## 556 556 1=Hepatitis 46 m 48.0 59.5 11.6 39.0 7.0 16.41 4.65 ## 557 557 1=Hepatitis 50 m 42.0 41.6 10.2 38.1 17.0 9.54 7.04 ## 558 558 1=Hepatitis 51 m 43.0 37.2 21.4 132.8 5.0 10.12 5.23 ## 559 559 1=Hepatitis 56 m 37.0 114.0 27.8 324.0 67.0 5.75 3.09 ## 560 560 1=Hepatitis 58 m 43.0 99.1 12.2 63.2 13.0 5.95 6.15 ## 561 561 1=Hepatitis 33 f 43.0 29.6 3.8 16.7 6.0 6.88 5.72 ## 562 562 1=Hepatitis 41 f 37.0 31.2 8.2 38.3 7.0 7.08 5.30 ## 563 563 1=Hepatitis 50 f 40.0 32.7 9.0 46.0 10.0 7.51 4.67 ## 564 564 1=Hepatitis 61 f 50.0 34.4 27.4 114.4 22.0 9.48 4.62 ## 565 565 2=Fibrosis 29 m 41.0 43.1 2.4 83.5 6.0 11.49 5.42 ## 566 566 2=Fibrosis 40 m 39.0 43.1 23.8 114.7 11.0 9.64 4.20 ## 567 567 2=Fibrosis 46 m 45.0 26.9 23.1 125.0 17.0 6.97 4.01 ## 568 568 2=Fibrosis 48 m 49.0 45.2 19.3 69.1 30.0 7.76 4.22 ## 569 569 2=Fibrosis 49 m 39.0 NA 118.0 62.0 10.0 7.28 3.50 ## 570 570 2=Fibrosis 49 m 46.0 NA 114.0 75.0 16.0 10.43 5.20 ## 571 571 2=Fibrosis 50 m 42.0 NA 258.0 106.0 15.0 8.74 4.70 ## 572 572 2=Fibrosis 53 m 46.0 NA 34.0 43.0 14.0 8.77 4.00 ## 573 573 2=Fibrosis 54 m 41.0 41.8 41.5 187.9 21.0 8.59 5.85 ## 574 574 2=Fibrosis 57 m 47.0 29.7 10.2 55.9 12.0 6.60 4.64 ## 575 575 2=Fibrosis 59 m 44.0 34.5 8.9 74.5 6.0 9.45 4.45 ## 576 576 2=Fibrosis 64 m 38.0 35.7 7.1 41.3 13.0 7.10 4.52 ## 577 577 2=Fibrosis 71 m 37.0 NA 130.0 90.0 15.0 9.92 4.70 ## 578 578 2=Fibrosis 36 f 46.0 39.3 67.1 161.9 13.0 9.24 4.81 ## 579 579 2=Fibrosis 38 f 40.0 39.8 14.9 68.9 11.0 8.55 4.31 ## 580 580 2=Fibrosis 57 f 43.0 52.1 8.3 35.8 18.0 8.61 6.19 ## 581 581 2=Fibrosis 68 f 43.0 22.9 5.0 42.1 12.0 7.29 4.89 ## 582 582 2=Fibrosis 49 f 39.0 NA 46.0 39.0 9.0 10.21 3.10 ## 583 583 2=Fibrosis 51 f 37.0 NA 164.0 70.0 9.0 3.99 4.20 ## 584 584 2=Fibrosis 56 f 39.0 NA 42.0 34.0 10.0 7.75 5.00 ## 585 585 2=Fibrosis 75 f 36.0 NA 114.0 125.0 14.0 6.65 NA ## 586 586 3=Cirrhosis 38 m 44.0 NA 94.0 60.0 12.0 4.37 3.20 ## 587 587 3=Cirrhosis 39 m 34.0 137.8 4.8 35.6 9.0 3.65 4.82 ## 588 588 3=Cirrhosis 41 m 31.0 85.3 4.8 60.2 200.0 1.80 5.34 ## 589 589 3=Cirrhosis 42 m 36.0 69.6 14.9 263.1 40.0 3.61 3.93 ## 590 590 3=Cirrhosis 45 m 29.0 11.3 7.1 101.9 31.0 1.73 3.71 ## 591 591 3=Cirrhosis 46 m 20.0 NA 62.0 113.0 254.0 1.48 NA ## 592 592 3=Cirrhosis 46 m 35.0 109.6 2.3 19.2 11.0 7.10 4.10 ## 593 593 3=Cirrhosis 47 m 42.0 NA 159.0 102.0 11.0 6.29 5.50 ## 594 594 3=Cirrhosis 51 m 39.0 66.0 29.6 185.0 19.0 2.00 3.60 ## 595 595 3=Cirrhosis 51 m 33.0 29.6 4.5 66.6 91.0 4.02 4.08 ## 596 596 3=Cirrhosis 56 m 27.0 81.1 17.0 319.8 37.0 1.42 3.54 ## 597 597 3=Cirrhosis 56 m 23.0 105.6 5.1 123.0 43.0 1.80 2.40 ## 598 598 3=Cirrhosis 56 m 30.0 40.4 0.9 80.3 119.0 1.88 1.43 ## 599 599 3=Cirrhosis 58 m 31.0 143.1 7.0 181.8 58.0 3.29 3.92 ## 600 600 3=Cirrhosis 59 m 36.0 49.7 5.2 110.1 37.0 2.29 3.68 ## 601 601 3=Cirrhosis 59 m 27.0 73.8 4.0 65.2 209.0 2.47 3.61 ## 602 602 3=Cirrhosis 59 m 31.0 86.3 5.4 95.4 117.0 1.57 3.51 ## 603 603 3=Cirrhosis 61 m 39.0 102.9 27.3 143.2 15.0 5.38 4.88 ## 604 604 3=Cirrhosis 65 m NA NA 40.0 54.0 13.0 7.50 NA ## 605 605 3=Cirrhosis 74 m 23.0 34.1 2.1 90.4 22.0 2.50 3.29 ## 606 606 3=Cirrhosis 42 f 33.0 79.0 3.7 55.7 200.0 1.72 5.16 ## 607 607 3=Cirrhosis 49 f 33.0 190.7 1.2 36.3 7.0 6.92 3.82 ## 608 608 3=Cirrhosis 52 f 39.0 37.0 1.3 30.4 21.0 6.33 3.78 ## 609 609 3=Cirrhosis 58 f 34.0 46.4 15.0 150.0 8.0 6.26 3.98 ## 610 610 3=Cirrhosis 59 f 39.0 51.3 19.6 285.8 40.0 5.77 4.51 ## 611 611 3=Cirrhosis 62 f 32.0 416.6 5.9 110.3 50.0 5.57 6.30 ## 612 612 3=Cirrhosis 64 f 24.0 102.8 2.9 44.4 20.0 1.54 3.02 ## 613 613 3=Cirrhosis 64 f 29.0 87.3 3.5 99.0 48.0 1.66 3.63 ## 614 614 3=Cirrhosis 46 f 33.0 NA 39.0 62.0 20.0 3.56 4.20 ## 615 615 3=Cirrhosis 59 f 36.0 NA 100.0 80.0 12.0 9.07 5.30 ## CREA GGT PROT ## 1 106.0 12.1 69.0 ## 2 74.0 15.6 76.5 ## 3 86.0 33.2 79.3 ## 4 80.0 33.8 75.7 ## 5 76.0 29.9 68.7 ## 6 111.0 91.0 74.0 ## 7 70.0 16.9 74.5 ## 8 109.0 21.5 67.1 ## 9 83.0 13.7 71.3 ## 10 81.0 15.9 69.9 ## 11 78.0 24.1 75.4 ## 12 79.0 18.7 68.6 ## 13 78.0 19.4 68.7 ## 14 65.0 7.0 70.4 ## 15 63.0 15.2 71.9 ## 16 71.0 24.0 72.7 ## 17 90.0 14.7 72.4 ## 18 102.0 48.5 76.5 ## 19 112.0 27.6 69.3 ## 20 105.0 19.1 68.1 ## 21 103.0 30.2 74.0 ## 22 78.0 29.5 74.3 ## 23 75.0 99.6 69.1 ## 24 71.0 35.3 69.6 ## 25 91.0 26.6 72.0 ## 26 80.0 23.7 78.9 ## 27 85.0 13.9 67.7 ## 28 62.0 14.5 53.2 ## 29 95.0 9.9 71.9 ## 30 83.0 23.8 73.1 ## 31 89.0 48.5 71.3 ## 32 93.0 14.3 78.7 ## 33 95.0 22.2 69.3 ## 34 84.0 27.3 71.0 ## 35 99.0 16.8 73.6 ## 36 88.0 77.3 77.1 ## 37 81.0 22.2 71.3 ## 38 90.0 20.0 75.8 ## 39 82.0 36.9 77.8 ## 40 82.0 20.7 67.2 ## 41 66.0 28.1 74.0 ## 42 89.0 25.0 77.3 ## 43 65.0 40.5 80.7 ## 44 71.0 10.5 79.6 ## 45 88.0 62.5 71.6 ## 46 88.0 20.9 69.3 ## 47 93.0 23.1 70.8 ## 48 69.0 14.2 73.4 ## 49 75.0 36.1 77.3 ## 50 96.0 21.9 76.2 ## 51 96.0 34.7 71.0 ## 52 79.0 17.5 73.8 ## 53 97.0 14.8 79.9 ## 54 68.0 22.9 72.3 ## 55 93.0 70.1 73.4 ## 56 83.0 38.9 76.5 ## 57 100.0 10.4 69.3 ## 58 81.0 22.7 80.6 ## 59 113.0 23.8 72.5 ## 60 72.0 10.3 56.3 ## 61 94.0 25.3 76.3 ## 62 84.0 16.0 71.5 ## 63 74.0 22.2 73.1 ## 64 90.0 27.8 75.0 ## 65 95.0 30.3 74.7 ## 66 82.0 32.3 69.3 ## 67 88.0 13.5 72.0 ## 68 70.0 94.5 75.2 ## 69 86.0 23.3 78.9 ## 70 84.0 16.0 75.1 ## 71 85.0 9.5 73.1 ## 72 99.0 88.3 73.1 ## 73 103.0 13.8 76.1 ## 74 90.0 30.0 73.9 ## 75 63.0 70.8 67.4 ## 76 67.0 17.3 70.1 ## 77 96.0 14.6 66.7 ## 78 87.0 43.2 82.6 ## 79 80.0 45.2 68.1 ## 80 89.0 19.6 75.6 ## 81 79.0 29.4 71.2 ## 82 81.0 31.5 77.2 ## 83 73.0 49.8 78.4 ## 84 77.0 22.6 66.3 ## 85 98.0 99.3 66.2 ## 86 73.0 22.1 75.2 ## 87 93.0 23.1 70.5 ## 88 82.0 20.6 78.9 ## 89 72.0 27.5 73.1 ## 90 103.0 64.0 72.2 ## 91 77.0 15.9 75.5 ## 92 94.0 76.9 71.1 ## 93 88.0 23.3 73.9 ## 94 87.0 17.0 71.2 ## 95 76.0 92.7 72.5 ## 96 92.0 24.1 74.1 ## 97 88.0 18.5 68.8 ## 98 91.0 18.2 81.1 ## 99 82.0 40.2 76.6 ## 100 98.0 14.2 75.3 ## 101 72.0 35.3 75.1 ## 102 90.0 11.4 64.1 ## 103 86.0 24.5 76.1 ## 104 72.0 21.6 71.3 ## 105 78.0 26.6 73.3 ## 106 87.0 33.8 83.4 ## 107 74.0 23.7 72.1 ## 108 83.0 18.6 71.9 ## 109 83.0 15.4 72.4 ## 110 95.0 19.7 73.0 ## 111 85.0 15.1 70.8 ## 112 88.0 21.8 71.8 ## 113 93.0 10.1 73.1 ## 114 54.0 18.4 72.1 ## 115 86.0 74.9 73.8 ## 116 108.0 17.4 64.1 ## 117 80.0 70.1 77.5 ## 118 79.0 15.9 68.4 ## 119 114.0 21.4 80.3 ## 120 95.0 22.3 79.3 ## 121 97.0 17.1 74.2 ## 122 63.0 25.1 70.0 ## 123 81.0 15.2 71.8 ## 124 64.0 153.5 75.6 ## 125 84.0 12.9 72.2 ## 126 72.0 23.3 72.9 ## 127 90.0 21.6 75.4 ## 128 84.0 20.8 74.5 ## 129 84.0 14.1 76.9 ## 130 74.0 25.2 73.6 ## 131 108.0 16.7 76.8 ## 132 67.0 14.0 70.9 ## 133 83.0 24.1 68.0 ## 134 105.0 34.2 75.3 ## 135 95.0 32.2 74.0 ## 136 88.0 11.4 63.4 ## 137 100.0 14.9 71.2 ## 138 94.0 21.3 69.2 ## 139 82.0 56.0 70.6 ## 140 101.0 34.9 76.2 ## 141 94.0 80.6 66.6 ## 142 71.0 67.4 70.3 ## 143 105.0 27.2 74.5 ## 144 74.0 19.7 67.2 ## 145 85.0 81.1 75.5 ## 146 83.0 19.8 71.3 ## 147 99.0 85.4 78.8 ## 148 89.0 19.9 73.7 ## 149 87.0 13.4 62.1 ## 150 71.0 11.7 67.2 ## 151 72.0 12.7 67.7 ## 152 82.0 24.8 65.0 ## 153 84.0 20.9 75.2 ## 154 91.0 28.8 79.8 ## 155 102.0 20.8 70.2 ## 156 84.0 15.4 73.2 ## 157 113.0 50.1 68.8 ## 158 106.0 10.6 75.2 ## 159 78.0 64.2 69.9 ## 160 96.0 41.7 76.3 ## 161 90.0 30.1 80.3 ## 162 101.0 21.1 77.2 ## 163 69.0 39.1 72.9 ## 164 75.0 34.9 72.4 ## 165 96.0 27.8 66.4 ## 166 81.0 14.9 68.1 ## 167 97.0 35.3 77.5 ## 168 79.0 28.8 69.5 ## 169 88.0 91.5 73.0 ## 170 60.0 26.6 75.4 ## 171 74.0 15.7 69.1 ## 172 87.0 24.4 68.3 ## 173 89.0 23.3 78.0 ## 174 96.0 10.3 82.1 ## 175 86.0 42.9 81.5 ## 176 66.0 23.4 75.8 ## 177 98.0 53.0 71.8 ## 178 90.0 16.4 74.9 ## 179 74.0 28.5 75.0 ## 180 87.0 14.7 66.8 ## 181 80.0 15.8 68.9 ## 182 83.0 32.3 74.1 ## 183 87.0 38.3 74.1 ## 184 81.0 29.9 77.8 ## 185 98.0 28.9 83.3 ## 186 114.0 45.2 72.9 ## 187 85.0 19.4 69.8 ## 188 84.0 74.5 65.4 ## 189 92.0 37.8 68.7 ## 190 98.0 87.0 69.8 ## 191 73.0 13.6 72.3 ## 192 106.0 15.9 71.4 ## 193 87.0 21.9 70.8 ## 194 99.0 26.9 79.5 ## 195 76.0 152.5 71.0 ## 196 92.0 12.1 76.7 ## 197 83.0 23.4 66.6 ## 198 89.0 55.2 74.2 ## 199 57.0 16.5 67.0 ## 200 67.0 64.0 70.5 ## 201 106.0 24.9 73.2 ## 202 77.0 16.9 69.2 ## 203 72.0 53.6 72.5 ## 204 91.0 33.3 68.9 ## 205 82.0 52.4 65.8 ## 206 103.0 239.0 73.1 ## 207 99.0 18.3 66.4 ## 208 89.0 18.2 64.9 ## 209 86.0 35.3 71.6 ## 210 81.0 29.9 77.8 ## 211 81.0 20.9 77.1 ## 212 85.0 36.2 73.0 ## 213 93.0 22.4 80.3 ## 214 81.0 12.3 73.9 ## 215 86.0 36.1 77.6 ## 216 96.0 62.5 72.9 ## 217 77.0 87.8 67.4 ## 218 84.0 18.9 64.4 ## 219 89.0 21.8 73.3 ## 220 74.0 26.5 75.4 ## 221 8.0 24.1 64.2 ## 222 73.0 30.0 80.9 ## 223 82.0 40.4 68.5 ## 224 80.0 21.5 79.6 ## 225 100.0 26.8 73.6 ## 226 94.0 33.0 71.1 ## 227 73.0 42.9 78.6 ## 228 106.0 73.7 73.2 ## 229 70.0 18.3 72.0 ## 230 74.0 33.6 75.8 ## 231 94.0 23.2 65.2 ## 232 64.0 49.3 75.4 ## 233 90.0 53.1 71.3 ## 234 119.0 114.9 67.9 ## 235 103.0 35.8 69.9 ## 236 107.0 48.3 77.8 ## 237 86.0 33.2 79.3 ## 238 76.0 24.3 76.8 ## 239 105.0 45.4 75.9 ## 240 85.0 73.2 75.2 ## 241 89.0 15.6 67.9 ## 242 92.0 82.6 72.4 ## 243 88.0 41.6 77.7 ## 244 73.0 36.3 73.0 ## 245 94.0 42.9 70.1 ## 246 71.0 8.8 66.3 ## 247 80.0 30.2 72.2 ## 248 83.0 29.1 76.7 ## 249 65.0 26.2 62.4 ## 250 105.0 59.2 72.7 ## 251 80.0 12.4 69.9 ## 252 86.0 30.7 72.5 ## 253 82.0 17.8 74.1 ## 254 90.0 34.6 76.0 ## 255 95.0 20.8 67.1 ## 256 71.0 37.6 70.1 ## 257 103.0 20.7 71.9 ## 258 91.0 14.7 69.6 ## 259 94.0 17.4 74.5 ## 260 106.0 15.1 77.6 ## 261 110.0 185.2 71.8 ## 262 65.0 19.2 71.3 ## 263 74.0 17.1 77.5 ## 264 74.0 58.7 75.8 ## 265 99.0 22.9 72.4 ## 266 60.0 10.8 70.1 ## 267 93.0 18.5 70.9 ## 268 70.0 14.3 78.5 ## 269 67.0 15.7 74.6 ## 270 78.0 27.2 69.0 ## 271 86.0 18.7 71.9 ## 272 91.0 14.0 64.5 ## 273 75.0 19.0 77.6 ## 274 83.0 20.3 78.5 ## 275 108.0 17.4 64.1 ## 276 98.0 71.4 71.6 ## 277 91.0 13.8 66.9 ## 278 92.0 19.2 70.0 ## 279 74.0 13.3 71.5 ## 280 107.0 25.5 71.9 ## 281 75.0 76.9 74.4 ## 282 88.0 23.5 70.8 ## 283 64.0 24.9 74.2 ## 284 74.0 51.4 76.0 ## 285 69.0 26.2 79.6 ## 286 95.0 20.3 71.4 ## 287 80.0 12.9 72.0 ## 288 70.0 23.1 86.5 ## 289 89.0 16.3 64.8 ## 290 83.0 59.3 77.8 ## 291 78.0 22.6 72.7 ## 292 81.0 19.8 73.7 ## 293 107.0 50.4 69.3 ## 294 81.0 53.7 70.7 ## 295 73.0 19.1 66.0 ## 296 91.0 36.2 68.7 ## 297 78.0 20.0 74.3 ## 298 78.0 21.2 68.2 ## 299 78.0 21.9 71.5 ## 300 72.0 112.8 77.0 ## 301 82.0 38.5 75.7 ## 302 73.0 27.1 64.3 ## 303 89.0 20.8 75.5 ## 304 111.0 26.2 76.7 ## 305 76.0 29.8 71.8 ## 306 88.0 24.6 73.1 ## 307 100.0 26.8 73.6 ## 308 97.0 78.3 67.5 ## 309 88.0 77.2 74.8 ## 310 100.0 16.6 70.4 ## 311 89.0 14.5 75.5 ## 312 74.0 28.1 74.2 ## 313 63.0 46.0 56.9 ## 314 83.0 13.5 73.7 ## 315 90.0 99.7 69.8 ## 316 127.0 18.3 58.1 ## 317 90.0 117.6 73.8 ## 318 103.0 25.8 67.2 ## 319 60.0 4.5 72.5 ## 320 63.0 23.0 72.2 ## 321 53.0 9.3 68.9 ## 322 71.0 44.6 76.1 ## 323 66.0 13.1 66.1 ## 324 52.0 19.1 72.0 ## 325 73.0 44.7 73.8 ## 326 76.0 15.4 72.0 ## 327 70.0 24.7 70.5 ## 328 68.0 32.1 66.9 ## 329 71.0 16.9 75.0 ## 330 48.0 25.7 74.4 ## 331 81.0 21.5 78.3 ## 332 78.0 8.0 71.5 ## 333 50.0 7.0 73.3 ## 334 56.0 11.4 69.9 ## 335 67.0 19.5 71.4 ## 336 86.0 4.9 70.7 ## 337 97.0 11.2 71.9 ## 338 75.0 18.7 64.2 ## 339 65.0 27.4 74.3 ## 340 90.0 18.5 80.6 ## 341 53.0 25.8 79.7 ## 342 61.0 24.3 71.5 ## 343 78.0 22.8 76.1 ## 344 75.0 17.8 69.9 ## 345 64.0 12.4 72.8 ## 346 64.0 17.4 70.4 ## 347 67.0 15.2 71.9 ## 348 67.0 15.1 64.1 ## 349 61.0 16.2 71.8 ## 350 95.0 37.3 80.7 ## 351 74.0 28.1 79.3 ## 352 68.0 10.8 76.4 ## 353 67.0 18.5 75.5 ## 354 77.0 27.0 78.5 ## 355 69.0 16.0 81.0 ## 356 75.0 10.4 72.8 ## 357 72.0 15.6 70.7 ## 358 83.0 28.9 73.4 ## 359 76.0 7.1 69.0 ## 360 54.0 24.0 71.0 ## 361 69.0 23.5 77.3 ## 362 100.0 30.5 77.3 ## 363 85.0 19.5 66.6 ## 364 69.0 20.1 74.0 ## 365 60.0 13.7 68.1 ## 366 68.0 22.9 72.3 ## 367 61.0 14.5 77.3 ## 368 75.0 10.6 73.5 ## 369 72.0 9.8 73.1 ## 370 88.0 11.5 73.2 ## 371 105.0 27.9 73.9 ## 372 68.0 24.1 72.8 ## 373 64.0 15.8 73.0 ## 374 65.0 17.1 71.9 ## 375 71.0 61.0 77.1 ## 376 67.0 13.0 73.7 ## 377 64.0 27.3 65.5 ## 378 54.0 18.6 82.3 ## 379 64.0 15.2 72.1 ## 380 73.0 68.9 67.1 ## 381 69.0 21.3 73.2 ## 382 64.0 9.7 70.9 ## 383 58.0 22.7 73.1 ## 384 73.0 14.6 74.4 ## 385 68.0 9.2 68.2 ## 386 70.0 10.4 72.8 ## 387 71.0 46.0 68.4 ## 388 76.0 10.4 70.7 ## 389 50.0 9.2 66.3 ## 390 74.0 20.8 74.4 ## 391 64.0 7.4 65.2 ## 392 69.0 11.8 70.5 ## 393 62.0 17.8 77.5 ## 394 61.0 19.6 69.4 ## 395 63.0 13.6 72.7 ## 396 74.0 14.3 68.0 ## 397 53.0 17.8 67.7 ## 398 72.0 13.7 67.5 ## 399 85.0 15.8 72.2 ## 400 69.0 14.9 69.9 ## 401 90.0 10.0 70.5 ## 402 86.0 92.3 68.4 ## 403 94.0 12.0 77.1 ## 404 66.0 49.4 70.1 ## 405 64.0 31.8 69.6 ## 406 70.0 12.3 66.6 ## 407 78.0 24.2 72.4 ## 408 67.0 15.1 69.0 ## 409 54.0 10.1 71.5 ## 410 72.0 13.4 69.5 ## 411 64.0 11.0 72.0 ## 412 86.0 11.0 76.4 ## 413 71.0 12.7 64.7 ## 414 61.0 29.0 71.9 ## 415 62.0 11.9 69.8 ## 416 67.0 35.0 75.2 ## 417 92.0 43.9 70.0 ## 418 78.0 19.9 72.7 ## 419 62.0 74.9 77.1 ## 420 75.0 13.0 66.0 ## 421 56.0 15.7 67.8 ## 422 74.0 7.9 67.0 ## 423 76.0 10.6 67.7 ## 424 70.0 16.5 66.2 ## 425 88.0 38.0 75.1 ## 426 70.0 11.8 72.1 ## 427 70.0 16.2 71.7 ## 428 41.0 17.2 65.6 ## 429 85.0 19.1 77.4 ## 430 66.0 19.6 70.6 ## 431 61.0 12.3 67.9 ## 432 77.0 24.1 75.8 ## 433 64.0 13.4 73.1 ## 434 52.0 23.9 72.4 ## 435 67.0 13.0 74.2 ## 436 74.0 10.3 73.1 ## 437 67.0 12.1 71.2 ## 438 66.0 21.4 63.2 ## 439 52.0 18.6 70.7 ## 440 53.0 12.7 73.9 ## 441 74.0 12.0 68.1 ## 442 83.0 12.5 74.3 ## 443 75.0 14.9 73.2 ## 444 83.0 7.9 62.5 ## 445 69.0 14.5 78.2 ## 446 77.0 19.1 76.9 ## 447 68.0 17.6 68.4 ## 448 77.0 21.3 73.5 ## 449 76.0 9.0 68.8 ## 450 84.0 19.4 71.2 ## 451 64.0 15.4 68.2 ## 452 70.0 25.4 70.2 ## 453 69.0 52.2 78.3 ## 454 68.0 27.1 70.6 ## 455 55.0 12.7 70.2 ## 456 72.0 10.4 71.9 ## 457 72.0 7.9 69.0 ## 458 60.0 17.4 71.9 ## 459 77.0 106.7 72.2 ## 460 70.0 21.7 72.4 ## 461 82.0 11.4 73.3 ## 462 83.0 62.1 72.9 ## 463 86.0 69.3 71.0 ## 464 70.0 18.6 75.2 ## 465 65.0 28.3 70.5 ## 466 69.0 11.9 72.4 ## 467 85.0 30.4 69.2 ## 468 75.0 14.5 77.1 ## 469 75.0 41.6 67.4 ## 470 88.0 16.3 82.2 ## 471 72.0 24.2 66.3 ## 472 66.0 10.8 70.0 ## 473 65.0 35.5 71.1 ## 474 67.0 14.2 70.9 ## 475 66.0 50.1 70.8 ## 476 70.0 82.6 74.6 ## 477 56.0 16.5 76.9 ## 478 74.0 12.3 69.2 ## 479 72.0 77.3 77.3 ## 480 62.0 11.4 68.5 ## 481 81.0 25.2 75.0 ## 482 62.0 74.9 77.1 ## 483 68.0 13.3 70.7 ## 484 58.0 27.6 57.0 ## 485 66.0 15.4 71.9 ## 486 69.0 58.2 65.8 ## 487 67.0 17.7 73.3 ## 488 71.0 32.5 75.2 ## 489 66.0 12.3 70.3 ## 490 69.0 29.4 60.5 ## 491 73.0 13.6 73.3 ## 492 66.0 7.2 67.2 ## 493 66.0 13.0 72.6 ## 494 67.0 9.0 69.4 ## 495 65.0 16.2 71.0 ## 496 55.0 19.1 63.1 ## 497 64.0 145.3 66.7 ## 498 72.0 16.4 67.1 ## 499 82.0 6.4 76.8 ## 500 69.0 22.4 75.7 ## 501 61.0 21.3 74.8 ## 502 59.0 11.3 70.9 ## 503 68.0 10.2 62.5 ## 504 71.0 10.0 69.3 ## 505 68.0 13.0 70.7 ## 506 63.0 14.8 73.1 ## 507 68.0 15.9 68.5 ## 508 62.0 8.1 71.9 ## 509 60.0 10.2 70.4 ## 510 40.0 31.2 51.0 ## 511 70.0 32.0 76.6 ## 512 61.0 30.7 75.4 ## 513 70.0 12.9 70.9 ## 514 63.0 16.3 71.9 ## 515 58.0 20.1 71.7 ## 516 70.0 24.0 71.8 ## 517 77.0 47.0 77.0 ## 518 68.0 27.4 76.6 ## 519 78.0 12.5 72.8 ## 520 103.0 13.0 71.5 ## 521 65.0 14.5 78.9 ## 522 71.0 11.8 69.9 ## 523 54.0 15.6 67.8 ## 524 59.0 17.7 65.4 ## 525 91.0 39.5 74.3 ## 526 62.0 18.3 74.5 ## 527 66.0 22.4 65.0 ## 528 63.0 46.0 56.9 ## 529 56.0 14.2 65.8 ## 530 63.0 61.9 73.4 ## 531 52.0 9.1 64.2 ## 532 59.0 23.8 68.9 ## 533 62.0 19.2 65.3 ## 534 170.0 345.6 58.6 ## 535 29.0 83.0 47.8 ## 536 64.0 38.9 44.8 ## 537 76.0 71.6 78.3 ## 538 9.0 7.6 47.0 ## 539 52.0 218.3 47.8 ## 540 32.0 295.6 53.1 ## 541 77.9 18.9 63.0 ## 542 62.0 65.0 75.0 ## 543 79.3 90.4 70.1 ## 544 66.9 40.2 70.5 ## 545 55.2 35.9 74.5 ## 546 79.0 37.0 90.0 ## 547 86.0 43.0 77.0 ## 548 81.2 48.1 82.1 ## 549 45.4 33.1 71.1 ## 550 82.3 34.4 71.6 ## 551 69.2 68.2 76.0 ## 552 68.6 40.6 70.9 ## 553 81.8 57.9 71.1 ## 554 57.7 143.4 75.8 ## 555 81.5 27.6 72.8 ## 556 66.4 158.2 72.7 ## 557 75.3 92.1 72.3 ## 558 76.2 76.4 76.7 ## 559 97.7 392.2 77.3 ## 560 147.3 491.0 65.6 ## 561 58.8 11.5 78.2 ## 562 60.8 24.7 82.4 ## 563 56.6 22.3 70.1 ## 564 61.9 169.8 86.0 ## 565 55.2 130.0 66.5 ## 566 70.9 127.3 81.3 ## 567 60.5 72.2 73.0 ## 568 76.7 28.4 72.3 ## 569 72.0 74.0 81.0 ## 570 72.0 59.0 82.0 ## 571 77.0 80.0 84.0 ## 572 112.0 203.0 76.0 ## 573 91.0 104.9 79.1 ## 574 70.9 69.6 80.9 ## 575 65.0 95.3 69.7 ## 576 70.0 53.0 66.8 ## 577 79.0 77.0 76.0 ## 578 65.3 60.0 73.9 ## 579 60.5 40.1 76.5 ## 580 71.4 27.9 82.0 ## 581 80.9 11.9 76.1 ## 582 89.0 53.0 79.0 ## 583 67.0 43.0 72.0 ## 584 80.0 84.0 78.0 ## 585 57.0 177.0 72.0 ## 586 61.0 99.0 77.0 ## 587 519.0 133.4 57.5 ## 588 106.4 151.0 71.8 ## 589 49.6 61.0 68.6 ## 590 76.7 65.6 70.0 ## 591 114.0 138.0 NA ## 592 1079.1 105.6 69.1 ## 593 58.0 201.0 79.0 ## 594 58.3 399.5 79.4 ## 595 75.9 28.5 62.3 ## 596 66.9 93.7 65.3 ## 597 62.7 35.9 62.8 ## 598 79.3 17.6 54.2 ## 599 66.4 273.7 78.1 ## 600 118.2 56.9 74.8 ## 601 71.7 28.5 60.6 ## 602 60.5 53.6 68.5 ## 603 72.3 400.3 73.4 ## 604 70.0 107.0 79.0 ## 605 51.0 46.8 57.1 ## 606 89.1 146.3 69.9 ## 607 485.9 112.0 58.5 ## 608 158.2 142.5 82.7 ## 609 56.0 49.7 80.6 ## 610 136.1 101.1 70.5 ## 611 55.7 650.9 68.5 ## 612 63.0 35.9 71.3 ## 613 66.7 64.2 82.0 ## 614 52.0 50.0 71.0 ## 615 67.0 34.0 68.0#Pemilihan Kolom Fitur yang Digunakan data_hcv_numerik <- data_hcv[,5:14]# Handle MISSING VALUE dengan Imputasi Median hcv_clean <- data_hcv_numerik %>% mutate(across(everything(), ~replace_na(., median(., na.rm = TRUE))))#STANDARISASI Z SCORE hcv_scaled <- scale(hcv_clean)summary(hcv_scaled)## ALB ALP ALT AST ## Min. :-4.62622 Min. :-2.21953 Min. :-1.0822 Min. :-0.73091 ## 1st Qu.:-0.48836 1st Qu.:-0.59552 1st Qu.:-0.4732 1st Qu.:-0.39849 ## Median : 0.05701 Median :-0.07888 Median :-0.2138 Median :-0.26855 ## Mean : 0.00000 Mean : 0.00000 Mean : 0.0000 Mean : 0.00000 ## 3rd Qu.: 0.61969 3rd Qu.: 0.43192 3rd Qu.: 0.1811 3rd Qu.:-0.05701 ## Max. : 7.02558 Max. :13.58388 Max. :11.6644 Max. : 8.74003 ## BIL CHE CHOL CREA ## Min. :-0.5386 Min. :-3.07239 Min. :-3.50422 Min. :-1.47294 ## 1st Qu.:-0.3099 1st Qu.:-0.57200 1st Qu.:-0.66488 1st Qu.:-0.28716 ## Median :-0.2082 Median : 0.02873 Median :-0.05963 Median :-0.08618 ## Mean : 0.0000 Mean : 0.00000 Mean : 0.00000 Mean : 0.00000 ## 3rd Qu.:-0.0100 3rd Qu.: 0.63172 3rd Qu.: 0.61238 3rd Qu.: 0.13490 ## Max. :12.3317 Max. : 3.72377 Max. : 3.83000 Max. :20.05404 ## GGT PROT ## Min. :-0.6409 Min. :-5.04690 ## 1st Qu.:-0.4360 1st Qu.:-0.50839 ## Median :-0.2970 Median : 0.02883 ## Mean : 0.0000 Mean : 0.00000 ## 3rd Qu.: 0.0122 3rd Qu.: 0.62161 ## Max. :11.1847 Max. : 3.32620#Heatmap Korelasi cor_matrix <- cor(hcv_clean, method = "pearson") corrplot(cor_matrix, method = "color", type = "upper", addCoef.col = "black", tl.col = "black", tl.srt = 45, sig.level = 0.05, insig = "blank", main = "Heatmap Korelasi Parameter Biokimia")
#Scatter Plot Antara ALB dan PROT plot(hcv_clean$ALB, hcv_clean$PROT, main="Scatter Plot: Albumin (ALB) vs Total Protein (PROT)", xlab="Albumin (ALB)", ylab="Total Protein (PROT)", col="darkblue", pch=19) abline(lm(PROT ~ ALB, data = hcv_clean), col = "red", lwd = 2)
Principal Componet Analysis (PCA)
res.pca <- prcomp(hcv_scaled, center = TRUE, scale. = TRUE) eig_val <- get_eigenvalue(res.pca) print (eig_val)## eigenvalue variance.percent cumulative.variance.percent ## Dim.1 2.4166975 24.166975 24.16698 ## Dim.2 1.8064206 18.064206 42.23118 ## Dim.3 1.2639192 12.639192 54.87037 ## Dim.4 1.0647760 10.647760 65.51813 ## Dim.5 0.8825126 8.825126 74.34326 ## Dim.6 0.7013545 7.013545 81.35680 ## Dim.7 0.6075281 6.075281 87.43208 ## Dim.8 0.5016945 5.016945 92.44903 ## Dim.9 0.4197994 4.197994 96.64702 ## Dim.10 0.3352976 3.352976 100.00000fviz_eig(res.pca, addlabels = TRUE, barfill = "steelblue", barcolor = "black", main = "Scree Plot: Varians yang Ditangkap oleh PCA") + theme_minimal()
Penentuan Jumlah k Optimal (Elbow Method)
fviz_nbclust(hcv_scaled, kmeans, method = "wss")+ geom_vline(xintercept = 3, linetype = 2, color="red") + labs(title = "Elbow Method untuk Jumlah K Optimal")
Penentuan Jumlah Epsilon untuk DBSCAN (k=D+1)
dbscan::kNNdistplot(hcv_scaled, k = 5) abline(h = 2.9, col = "red", lty = 2)
Model K-Means
set.seed(123) k_opt <- 3 kmeans_data <- kmeans(hcv_scaled, centers = k_opt, nstart = 25) print(kmeans_data)## K-means clustering with 3 clusters of sizes 23, 314, 278 ## ## Cluster means: ## ALB ALP ALT AST BIL CHE ## 1 -1.8530921 1.7847647 0.05541174 2.75305876 2.8924322 -1.9842766 ## 2 0.4262911 0.1263760 0.23898936 -0.03077926 -0.1056241 0.5827471 ## 3 -0.3281809 -0.2904017 -0.27452205 -0.19300598 -0.1199999 -0.4940440 ## CHOL CREA GGT PROT ## 1 -1.0909552 1.63325223 3.0223696 -0.9964683 ## 2 0.4582320 -0.01193532 0.0182179 0.5019103 ## 3 -0.4273125 -0.12164428 -0.2706292 -0.4844643 ## ## Clustering vector: ## [1] 3 2 2 3 3 2 3 3 3 3 3 3 3 3 3 3 3 2 3 3 2 2 2 3 3 2 3 3 3 2 2 2 2 2 2 2 2 ## [38] 2 2 3 2 2 3 2 3 2 3 2 2 2 2 2 2 3 2 2 3 2 2 3 2 3 2 3 2 2 3 2 2 2 3 2 2 2 ## [75] 3 3 3 2 2 2 2 2 2 3 2 2 3 2 2 2 2 2 2 3 3 2 3 2 2 2 2 3 3 3 2 2 2 2 2 2 2 ## [112] 2 3 2 2 3 2 3 2 2 3 3 2 2 3 2 2 2 2 2 2 2 3 2 2 3 2 3 2 2 2 2 2 3 2 3 2 3 ## [149] 3 3 3 3 2 2 3 3 2 3 2 2 2 2 2 2 3 3 2 3 2 3 3 3 2 2 2 2 3 2 3 3 3 2 2 2 2 ## [186] 2 3 3 3 2 2 3 3 2 2 2 2 2 3 3 2 3 2 2 2 2 3 3 2 2 2 2 2 2 2 2 2 3 2 2 3 2 ## [223] 3 2 2 3 2 2 3 3 3 2 2 3 2 2 2 2 2 2 3 2 2 2 2 3 2 2 3 3 3 3 2 3 3 2 3 3 2 ## [260] 2 2 3 2 2 2 3 2 2 2 3 3 3 2 2 3 2 3 3 3 2 2 2 3 2 2 3 3 2 3 2 3 2 2 2 3 3 ## [297] 2 3 3 2 2 3 2 2 2 2 2 2 2 3 2 2 3 3 2 3 3 3 3 2 3 3 3 3 3 3 3 3 2 2 2 3 3 ## [334] 3 3 3 3 3 2 2 2 3 2 3 2 3 2 3 3 2 2 2 2 2 2 3 3 3 3 3 2 2 3 2 3 3 2 3 3 2 ## [371] 2 3 2 3 3 3 3 3 3 3 3 3 2 3 3 2 3 3 3 2 3 3 2 3 2 3 3 3 3 3 3 2 3 3 3 2 2 ## [408] 3 3 3 3 2 3 3 3 2 3 2 2 3 3 3 3 3 2 3 2 3 2 3 3 2 3 2 3 2 3 3 2 2 2 3 3 3 ## [445] 2 2 2 2 2 2 3 3 2 3 3 3 3 2 2 2 3 3 2 2 2 3 3 2 2 2 2 2 2 3 2 2 2 3 2 3 2 ## [482] 2 3 3 3 3 2 2 3 3 2 3 2 3 3 3 3 3 2 2 2 3 3 3 3 2 3 2 3 3 2 2 2 2 3 3 2 2 ## [519] 2 3 2 3 2 3 3 2 3 3 3 2 3 2 3 1 3 3 2 3 1 1 3 2 3 3 3 2 2 2 2 2 2 2 3 2 3 ## [556] 2 2 2 1 1 3 3 3 2 2 2 3 3 2 2 2 2 2 2 3 3 2 2 3 2 3 2 3 2 2 3 1 1 1 3 1 1 ## [593] 2 1 3 1 1 1 1 3 1 1 1 2 3 1 1 3 3 1 1 3 1 3 2 ## ## Within cluster sum of squares by cluster: ## [1] 1699.835 1659.983 1216.238 ## (between_SS / total_SS = 25.5 %) ## ## Available components: ## ## [1] "cluster" "centers" "totss" "withinss" "tot.withinss" ## [6] "betweenss" "size" "iter" "ifault"aggregate(hcv_clean, by=list(cluster=kmeans_data$cluster), mean)## cluster ALB ALP ALT AST BIL CHE CHOL ## 1 1 30.91739 113.99565 29.85217 125.88696 68.300000 3.820000 4.141304 ## 2 2 44.08296 71.46401 34.52420 33.76783 9.318790 9.481975 5.881815 ## 3 3 39.72518 60.77518 21.45540 28.39964 9.035971 7.106942 4.886906 ## CREA GGT PROT ## 1 162.55217 204.73913 66.66522 ## 2 80.69395 40.52898 74.75382 ## 3 75.23525 24.74029 69.42914# Nilai Silhouette sil_kmeans <- mean(silhouette(kmeans_data$cluster, dist(hcv_scaled))[, 3])Model K-Median
kmedian_data <- pam(hcv_scaled, k = k_opt) print(kmedian_data)## Medoids: ## ID ALB ALP ALT AST BIL CHE ## [1,] 457 -0.5749254 -0.0203899 -0.4338703 -0.44986494 -0.3048189 -0.3158397 ## [2,] 182 0.7581920 -0.3947120 -0.2766987 -0.16579713 -0.2285729 0.5274463 ## [3,] 460 -0.1074686 0.5060005 0.2616141 -0.04491721 -0.3149850 0.3188917 ## CHOL CREA GGT PROT ## [1,] -0.3800553 -0.18666641 -0.5787148 -0.56395998 ## [2,] 0.2964026 0.03441172 -0.1323276 0.38079272 ## [3,] 1.0618680 -0.22686243 -0.3262499 0.06587515 ## Clustering vector: ## [1] 1 2 2 2 1 2 2 1 2 1 1 1 1 1 1 1 1 2 1 1 2 2 2 1 2 2 2 1 1 2 3 2 2 3 2 3 1 ## [38] 2 2 2 2 2 1 2 1 3 1 2 2 2 2 2 2 1 3 2 1 2 2 1 2 1 2 2 3 3 1 2 2 2 2 3 2 2 ## [75] 1 1 1 2 3 2 2 3 2 1 3 2 1 2 3 3 2 3 2 2 3 2 1 2 2 2 3 1 1 1 2 2 2 3 2 2 3 ## [112] 3 2 3 3 1 3 1 3 2 1 2 2 3 1 3 2 2 2 3 2 3 3 2 2 1 2 2 3 2 3 3 2 1 3 2 2 2 ## [149] 1 1 1 1 2 3 2 2 2 2 3 2 2 2 2 2 1 1 2 2 2 2 1 1 2 2 3 2 3 3 2 1 2 2 3 2 3 ## [186] 2 1 1 1 2 2 1 1 2 3 2 3 2 1 1 3 1 2 3 3 3 1 3 2 2 2 2 2 2 3 3 2 1 3 2 1 2 ## [223] 1 3 3 2 2 3 1 2 1 3 3 1 3 2 2 2 2 3 1 3 3 3 3 1 3 2 1 2 1 3 3 2 1 2 2 2 2 ## [260] 2 2 1 2 2 2 1 2 2 2 1 1 1 2 2 1 2 2 1 1 2 3 2 1 3 2 1 1 2 1 2 3 2 3 3 3 3 ## [297] 3 1 2 3 3 1 3 2 3 3 3 3 3 1 3 1 1 1 3 1 3 2 1 2 1 2 1 1 1 1 1 1 2 3 2 1 1 ## [334] 1 3 1 1 1 3 2 2 1 2 1 2 1 2 1 1 2 2 2 2 2 2 1 1 1 1 1 2 2 1 3 1 1 2 1 1 2 ## [371] 2 1 3 1 1 1 1 2 1 1 2 1 3 1 1 2 1 1 1 2 1 1 2 3 3 1 1 1 1 1 1 2 2 1 1 2 2 ## [408] 1 1 3 1 3 1 2 1 3 1 3 2 1 1 1 1 1 3 1 3 1 2 2 1 3 2 2 1 2 1 1 3 2 3 1 1 1 ## [445] 2 2 3 2 3 3 1 1 2 1 1 3 1 2 3 3 1 1 3 2 3 2 1 2 3 2 3 3 3 1 3 3 3 3 3 1 2 ## [482] 2 1 1 2 1 3 2 1 1 3 1 3 1 1 1 1 1 2 3 2 1 1 1 3 2 2 2 1 1 2 3 3 3 1 1 2 3 ## [519] 2 1 3 1 3 3 2 2 3 1 3 2 1 3 1 1 1 1 3 1 1 3 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 ## [556] 2 2 2 2 2 2 2 1 2 2 2 2 2 3 3 3 2 2 2 2 1 3 2 2 2 2 2 3 2 3 1 1 1 1 1 1 2 ## [593] 3 2 1 1 1 1 3 1 1 1 3 2 1 1 1 2 1 2 3 1 1 1 3 ## Objective function: ## build swap ## 2.230197 2.217068 ## ## Available components: ## [1] "medoids" "id.med" "clustering" "objective" "isolation" ## [6] "clusinfo" "silinfo" "diss" "call" "data"aggregate(hcv_clean, by=list(cluster=kmedian_data$clustering), mean)## cluster ALB ALP ALT AST BIL CHE CHOL ## 1 1 37.86227 65.41091 20.68455 31.41500 14.200455 6.653591 4.702727 ## 2 2 45.53715 61.75743 26.71084 36.83614 10.224900 9.066586 5.317470 ## 3 3 40.60479 83.48699 43.08356 36.37055 9.170548 9.038082 6.452397 ## CREA GGT PROT ## 1 78.23727 28.67682 68.29318 ## 2 86.04699 39.92570 75.00803 ## 3 77.76781 55.22260 72.64247#Nilai Silhouette sil_kmedian <- mean(silhouette(kmedian_data$clustering, dist(hcv_scaled))[, 3])Model Hierarchical Clustering (Ward’s Method)
distance <- dist(hcv_scaled, method = "euclidean") hc_data <- hclust(distance, method = "ward.D2") fviz_dend(hc_data, k = k_opt, rect = TRUE, main = "Dendrogram Hierarchical Clustering")
hc_clusters <- cutree(hc_data, k = k_opt) #Potong Pohon print(hc_clusters)## [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 1 1 1 1 1 1 1 ## [38] 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 1 1 1 1 1 1 1 1 ## [75] 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [112] 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 ## [149] 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [223] 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 ## [260] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [297] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [334] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [371] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [408] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [445] 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ## [482] 1 1 2 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 ## [519] 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 2 2 2 2 2 2 1 2 2 2 1 1 1 2 1 1 1 1 1 1 1 ## [556] 1 1 2 2 2 1 1 1 2 1 2 2 1 2 2 2 1 2 1 1 1 2 2 1 1 1 1 2 1 2 2 3 2 2 2 2 3 ## [593] 2 2 2 2 2 2 2 2 2 2 2 1 2 2 3 1 2 2 2 2 2 2 2aggregate(hcv_clean, by=list(cluster=hc_clusters), mean)## cluster ALB ALP ALT AST BIL CHE CHOL ## 1 1 42.5225 66.93222 25.062593 26.80222 8.817407 8.485148 5.501833 ## 2 2 35.1750 74.66111 54.856944 94.85139 30.841667 6.128889 4.402361 ## 3 3 34.0000 146.03333 2.766667 30.36667 9.000000 5.890000 4.246667 ## CREA GGT PROT ## 1 78.72093 30.51648 72.56278 ## 2 74.98194 103.93056 68.58750 ## 3 694.66667 117.00000 61.70000#Nilai Silhouette sil_hc <- mean(silhouette(hc_clusters, dist(hcv_scaled))[, 3])Model DBSCAN (eps=2.9 dan minPts=5)
db_data <- dbscan(hcv_scaled, eps = 2.9, minPts = 5) print(db_data)## DBSCAN clustering for 615 objects. ## Parameters: eps = 2.9, minPts = 5 ## Using euclidean distances and borderpoints = TRUE ## The clustering contains 1 cluster(s) and 36 noise points. ## ## 0 1 ## 36 579 ## ## Available fields: cluster, eps, minPts, metric, borderPointsaggregate(hcv_clean, by=list(cluster=db_data$cluster), mean)## cluster ALB ALP ALT AST BIL CHE CHOL ## 1 0 33.62778 98.90833 45.89167 105.72222 51.075000 5.120000 4.576111 ## 2 1 42.11770 66.31503 27.35699 30.37582 8.929706 8.387927 5.416166 ## CREA GGT PROT ## 1 129.6167 164.94167 67.88889 ## 2 78.2829 31.73575 72.30276#Nilai Silhouette sil_dbscan <- cluster::silhouette(db_data$cluster, dist(hcv_scaled)) v_sil_dbscan <- mean(sil_dbscan[, 3])Model Fuzzy C Means
fcm_data <- cmeans(hcv_scaled, centers = k_opt) print(fcm_data)## Fuzzy c-means clustering with 3 clusters ## ## Cluster centers: ## ALB ALP ALT AST BIL CHE ## 1 -0.18975109 -0.07534227 -0.08720115 -0.034696303 -0.006259743 -0.2379592 ## 2 0.10635983 0.03722625 0.04340364 0.007327995 -0.003501085 0.1340087 ## 3 0.08416863 0.03027287 0.03505810 0.007649465 -0.001988610 0.1045251 ## CHOL CREA GGT PROT ## 1 -0.20407778 -0.03018514 -0.05657411 -0.22861802 ## 2 0.11863097 0.01412802 0.02096115 0.12546769 ## 3 0.08845171 0.01149583 0.01801152 0.09953717 ## ## Memberships: ## 1 2 3 ## [1,] 0.4348283 0.2777228 0.2874489 ## [2,] 0.2856869 0.3589809 0.3553321 ## [3,] 0.2297925 0.3922255 0.3779819 ## [4,] 0.3351476 0.3284343 0.3364181 ## [5,] 0.4310539 0.2778624 0.2910837 ## [6,] 0.2703467 0.3683748 0.3612785 ## [7,] 0.3497962 0.3225738 0.3276300 ## [8,] 0.4418281 0.2737922 0.2843797 ## [9,] 0.3206805 0.3388169 0.3405026 ## [10,] 0.4057072 0.2926720 0.3016208 ## [11,] 0.3898181 0.3014092 0.3087727 ## [12,] 0.4071688 0.2915593 0.3012719 ## [13,] 0.4308739 0.2787944 0.2903316 ## [14,] 0.4475143 0.2710047 0.2814810 ## [15,] 0.4342742 0.2781327 0.2875931 ## [16,] 0.3510333 0.3173564 0.3316103 ## [17,] 0.4619719 0.2608045 0.2772236 ## [18,] 0.1996694 0.4119054 0.3884253 ## [19,] 0.3417256 0.3266279 0.3316465 ## [20,] 0.4738893 0.2564284 0.2696823 ## [21,] 0.2794358 0.3603037 0.3602605 ## [22,] 0.2592134 0.3732551 0.3675315 ## [23,] 0.2883166 0.3570630 0.3546203 ## [24,] 0.3434561 0.3267955 0.3297484 ## [25,] 0.3328552 0.3321446 0.3350002 ## [26,] 0.2174428 0.4011931 0.3813641 ## [27,] 0.3355556 0.3318539 0.3325905 ## [28,] 0.3919547 0.3011118 0.3069336 ## [29,] 0.3261717 0.3331162 0.3407121 ## [30,] 0.2710182 0.3672560 0.3617258 ## [31,] 0.1827103 0.4215783 0.3957113 ## [32,] 0.2961883 0.3520566 0.3517551 ## [33,] 0.3117586 0.3415852 0.3466562 ## [34,] 0.2764739 0.3647214 0.3588047 ## [35,] 0.2785285 0.3594342 0.3620372 ## [36,] 0.2410619 0.3872603 0.3716778 ## [37,] 0.3257517 0.3359157 0.3383327 ## [38,] 0.3099885 0.3451748 0.3448366 ## [39,] 0.2345411 0.3910535 0.3744054 ## [40,] 0.3336742 0.3309013 0.3354244 ## [41,] 0.2489702 0.3812034 0.3698264 ## [42,] 0.2518582 0.3803074 0.3678344 ## [43,] 0.3519753 0.3222515 0.3257732 ## [44,] 0.2979201 0.3517331 0.3503468 ## [45,] 0.4069672 0.2917578 0.3012750 ## [46,] 0.2993320 0.3521161 0.3485519 ## [47,] 0.4090265 0.2901356 0.3008379 ## [48,] 0.2732869 0.3678279 0.3588852 ## [49,] 0.2490758 0.3817038 0.3692203 ## [50,] 0.2328183 0.3906198 0.3765618 ## [51,] 0.2978335 0.3502911 0.3518754 ## [52,] 0.2696733 0.3666319 0.3636948 ## [53,] 0.2574758 0.3760923 0.3664319 ## [54,] 0.3822274 0.3058603 0.3119123 ## [55,] 0.2311889 0.3925297 0.3762814 ## [56,] 0.2048876 0.4100579 0.3850545 ## [57,] 0.4687280 0.2596864 0.2715856 ## [58,] 0.2325579 0.3923575 0.3750846 ## [59,] 0.2985244 0.3506375 0.3508382 ## [60,] 0.4132397 0.2895909 0.2971694 ## [61,] 0.2468358 0.3834455 0.3697188 ## [62,] 0.3834849 0.3019069 0.3146081 ## [63,] 0.2647318 0.3714898 0.3637785 ## [64,] 0.3297839 0.3339475 0.3362686 ## [65,] 0.3228425 0.3383221 0.3388355 ## [66,] 0.3251867 0.3368482 0.3379651 ## [67,] 0.3335943 0.3319513 0.3344544 ## [68,] 0.2685510 0.3668686 0.3645804 ## [69,] 0.2379076 0.3882530 0.3738394 ## [70,] 0.3084775 0.3460928 0.3454297 ## [71,] 0.3346687 0.3310596 0.3342717 ## [72,] 0.2698980 0.3693628 0.3607392 ## [73,] 0.2476739 0.3818582 0.3704680 ## [74,] 0.2139807 0.4028618 0.3831576 ## [75,] 0.4461542 0.2716586 0.2821872 ## [76,] 0.3966849 0.2963650 0.3069500 ## [77,] 0.4469919 0.2711111 0.2818969 ## [78,] 0.2646724 0.3731241 0.3622035 ## [79,] 0.3004523 0.3506375 0.3489103 ## [80,] 0.2381168 0.3863140 0.3755692 ## [81,] 0.2536995 0.3710338 0.3752667 ## [82,] 0.2521141 0.3798626 0.3680233 ## [83,] 0.2124766 0.4052012 0.3823223 ## [84,] 0.4962194 0.2459176 0.2578629 ## [85,] 0.3161479 0.3419800 0.3418721 ## [86,] 0.2332650 0.3895450 0.3771901 ## [87,] 0.4236456 0.2833449 0.2930095 ## [88,] 0.2634694 0.3714092 0.3651214 ## [89,] 0.2645612 0.3723027 0.3631361 ## [90,] 0.2814483 0.3631108 0.3554408 ## [91,] 0.3068148 0.3467418 0.3464434 ## [92,] 0.2748066 0.3670606 0.3581328 ## [93,] 0.2185429 0.4009544 0.3805027 ## [94,] 0.3550453 0.3185163 0.3264384 ## [95,] 0.3442638 0.3261198 0.3296164 ## [96,] 0.1845935 0.4230444 0.3923620 ## [97,] 0.5809570 0.2012484 0.2177947 ## [98,] 0.2590441 0.3752941 0.3656618 ## [99,] 0.2276632 0.3957868 0.3765500 ## [100,] 0.2789355 0.3607889 0.3602756 ## [101,] 0.2194476 0.3989566 0.3815958 ## [102,] 0.4663006 0.2611770 0.2725224 ## [103,] 0.3815806 0.3053361 0.3130832 ## [104,] 0.3923765 0.2987780 0.3088455 ## [105,] 0.2582237 0.3753375 0.3664388 ## [106,] 0.2666211 0.3712778 0.3621011 ## [107,] 0.2982517 0.3505978 0.3511505 ## [108,] 0.2809028 0.3612476 0.3578495 ## [109,] 0.2818809 0.3625515 0.3555676 ## [110,] 0.2483484 0.3824856 0.3691660 ## [111,] 0.2757287 0.3646358 0.3596356 ## [112,] 0.2665495 0.3714385 0.3620120 ## [113,] 0.3684142 0.3123501 0.3192357 ## [114,] 0.3037848 0.3488908 0.3473243 ## [115,] 0.3039141 0.3493243 0.3467616 ## [116,] 0.4319577 0.2790743 0.2889679 ## [117,] 0.2682756 0.3710601 0.3606643 ## [118,] 0.4552181 0.2660057 0.2787762 ## [119,] 0.2961107 0.3535511 0.3503382 ## [120,] 0.2635654 0.3731534 0.3632812 ## [121,] 0.3476229 0.3219689 0.3304082 ## [122,] 0.3488552 0.3233194 0.3278254 ## [123,] 0.3066613 0.3457686 0.3475701 ## [124,] 0.2831801 0.3618744 0.3549455 ## [125,] 0.4503052 0.2675291 0.2821657 ## [126,] 0.2875543 0.3596376 0.3528081 ## [127,] 0.3253757 0.3373153 0.3373090 ## [128,] 0.2559703 0.3734461 0.3705836 ## [129,] 0.2699201 0.3680356 0.3620443 ## [130,] 0.3067057 0.3467317 0.3465626 ## [131,] 0.2919556 0.3543223 0.3537221 ## [132,] 0.3237012 0.3376950 0.3386038 ## [133,] 0.3339139 0.3321605 0.3339256 ## [134,] 0.2155429 0.4016062 0.3828509 ## [135,] 0.2383111 0.3888729 0.3728160 ## [136,] 0.4536574 0.2678954 0.2784472 ## [137,] 0.2760614 0.3654325 0.3585061 ## [138,] 0.3272121 0.3335735 0.3392144 ## [139,] 0.2637448 0.3735020 0.3627532 ## [140,] 0.2120765 0.4041992 0.3837243 ## [141,] 0.3249390 0.3370624 0.3379986 ## [142,] 0.2656809 0.3652961 0.3690229 ## [143,] 0.2183873 0.4014451 0.3801677 ## [144,] 0.5226228 0.2321528 0.2452244 ## [145,] 0.2296416 0.3935018 0.3768566 ## [146,] 0.3222239 0.3349121 0.3428640 ## [147,] 0.2282016 0.3949643 0.3768341 ## [148,] 0.2969276 0.3511480 0.3519245 ## [149,] 0.4022644 0.2953713 0.3023643 ## [150,] 0.4725555 0.2582587 0.2691859 ## [151,] 0.3560801 0.3192538 0.3246661 ## [152,] 0.3542414 0.3202674 0.3254912 ## [153,] 0.2980974 0.3511016 0.3508009 ## [154,] 0.2521643 0.3806192 0.3672166 ## [155,] 0.3234931 0.3369163 0.3395906 ## [156,] 0.3489150 0.3227098 0.3283752 ## [157,] 0.3086083 0.3453961 0.3459956 ## [158,] 0.3482262 0.3239691 0.3278047 ## [159,] 0.2821221 0.3616175 0.3562604 ## [160,] 0.2343850 0.3896808 0.3759343 ## [161,] 0.2535716 0.3797500 0.3666784 ## [162,] 0.2728675 0.3643635 0.3627690 ## [163,] 0.1731170 0.4178452 0.4090377 ## [164,] 0.2250322 0.3967402 0.3782276 ## [165,] 0.4452745 0.2719057 0.2828199 ## [166,] 0.3739541 0.3091716 0.3168743 ## [167,] 0.2107844 0.4057562 0.3834594 ## [168,] 0.3150626 0.3404953 0.3444421 ## [169,] 0.2465802 0.3828521 0.3705677 ## [170,] 0.3164639 0.3408334 0.3427027 ## [171,] 0.3786757 0.3067014 0.3146230 ## [172,] 0.4897455 0.2490346 0.2612199 ## [173,] 0.2374884 0.3889370 0.3735746 ## [174,] 0.2817277 0.3622525 0.3560198 ## [175,] 0.2476561 0.3832262 0.3691177 ## [176,] 0.2737236 0.3663031 0.3599733 ## [177,] 0.3317598 0.3306669 0.3375734 ## [178,] 0.2078166 0.4072791 0.3849043 ## [179,] 0.3440518 0.3254565 0.3304917 ## [180,] 0.4243036 0.2825741 0.2931223 ## [181,] 0.3534824 0.3213821 0.3251355 ## [182,] 0.1919995 0.4164111 0.3915894 ## [183,] 0.2326640 0.3920044 0.3753316 ## [184,] 0.2830736 0.3617637 0.3551626 ## [185,] 0.2675158 0.3714701 0.3610142 ## [186,] 0.2677578 0.3710287 0.3612135 ## [187,] 0.4255835 0.2807731 0.2936435 ## [188,] 0.4533422 0.2674346 0.2792233 ## [189,] 0.3695255 0.3107949 0.3196796 ## [190,] 0.2479683 0.3806916 0.3713401 ## [191,] 0.2982778 0.3516975 0.3500247 ## [192,] 0.4020218 0.2915555 0.3064227 ## [193,] 0.3411566 0.3237212 0.3351222 ## [194,] 0.2281308 0.3948686 0.3770006 ## [195,] 0.3026212 0.3500224 0.3473564 ## [196,] 0.2318767 0.3910317 0.3770916 ## [197,] 0.3006572 0.3495427 0.3498001 ## [198,] 0.2279946 0.3951196 0.3768858 ## [199,] 0.4243847 0.2825369 0.2930784 ## [200,] 0.4202895 0.2845077 0.2952029 ## [201,] 0.2772261 0.3649373 0.3578366 ## [202,] 0.4297306 0.2789415 0.2913280 ## [203,] 0.2344937 0.3839680 0.3815384 ## [204,] 0.2652436 0.3704114 0.3643450 ## [205,] 0.3273438 0.3352450 0.3374112 ## [206,] 0.3042471 0.3497166 0.3460363 ## [207,] 0.5122189 0.2376696 0.2501115 ## [208,] 0.3447066 0.3262571 0.3290363 ## [209,] 0.2200084 0.4002930 0.3796986 ## [210,] 0.2830736 0.3617637 0.3551626 ## [211,] 0.3034855 0.3474651 0.3490493 ## [212,] 0.1746619 0.4287747 0.3965635 ## [213,] 0.2492958 0.3820562 0.3686480 ## [214,] 0.2955196 0.3525028 0.3519775 ## [215,] 0.2404165 0.3875668 0.3720168 ## [216,] 0.2384574 0.3884422 0.3731003 ## [217,] 0.3146719 0.3437446 0.3415834 ## [218,] 0.4503839 0.2694092 0.2802069 ## [219,] 0.2285237 0.3945030 0.3769733 ## [220,] 0.2556044 0.3760839 0.3683117 ## [221,] 0.4261117 0.2824730 0.2914153 ## [222,] 0.2494002 0.3810732 0.3695266 ## [223,] 0.4690259 0.2575934 0.2733806 ## [224,] 0.2447875 0.3846441 0.3705684 ## [225,] 0.2204865 0.3993172 0.3801963 ## [226,] 0.3514598 0.3193827 0.3291575 ## [227,] 0.2398965 0.3881678 0.3719357 ## [228,] 0.3193400 0.3394574 0.3412026 ## [229,] 0.4082827 0.2899366 0.3017807 ## [230,] 0.3322484 0.3321845 0.3355670 ## [231,] 0.4237077 0.2836319 0.2926605 ## [232,] 0.2842699 0.3615265 0.3542036 ## [233,] 0.2502895 0.3814443 0.3682662 ## [234,] 0.3736311 0.3101776 0.3161913 ## [235,] 0.3167450 0.3416072 0.3416478 ## [236,] 0.2681832 0.3708086 0.3610082 ## [237,] 0.2297925 0.3922255 0.3779819 ## [238,] 0.2394301 0.3868981 0.3736718 ## [239,] 0.1913579 0.4185685 0.3900736 ## [240,] 0.2699759 0.3692168 0.3608073 ## [241,] 0.4532571 0.2666910 0.2800520 ## [242,] 0.2620396 0.3741820 0.3637785 ## [243,] 0.2610966 0.3748015 0.3641019 ## [244,] 0.2954166 0.3548709 0.3497125 ## [245,] 0.2699912 0.3691412 0.3608676 ## [246,] 0.4590624 0.2653864 0.2755512 ## [247,] 0.2472167 0.3818574 0.3709259 ## [248,] 0.2492123 0.3796595 0.3711282 ## [249,] 0.4192304 0.2864636 0.2943060 ## [250,] 0.3682238 0.3104950 0.3212811 ## [251,] 0.4937450 0.2466864 0.2595687 ## [252,] 0.3405207 0.3282960 0.3311833 ## [253,] 0.2532020 0.3793826 0.3674155 ## [254,] 0.3065826 0.3451670 0.3482505 ## [255,] 0.3813817 0.3060544 0.3125639 ## [256,] 0.2825559 0.3608395 0.3566046 ## [257,] 0.3373857 0.3290796 0.3335347 ## [258,] 0.3244292 0.3363565 0.3392143 ## [259,] 0.2431690 0.3854603 0.3713707 ## [260,] 0.2961774 0.3540110 0.3498116 ## [261,] 0.3149796 0.3428042 0.3422162 ## [262,] 0.3594142 0.3149302 0.3256556 ## [263,] 0.2475438 0.3807944 0.3716618 ## [264,] 0.2405762 0.3874522 0.3719716 ## [265,] 0.2327636 0.3893239 0.3779125 ## [266,] 0.3870436 0.3018467 0.3111096 ## [267,] 0.2963978 0.3527700 0.3508322 ## [268,] 0.3011085 0.3503973 0.3484941 ## [269,] 0.3053000 0.3474726 0.3472274 ## [270,] 0.4182770 0.2862213 0.2955017 ## [271,] 0.4294121 0.2798855 0.2907025 ## [272,] 0.3762339 0.3094749 0.3142912 ## [273,] 0.2883401 0.3572553 0.3544046 ## [274,] 0.2440805 0.3844716 0.3714479 ## [275,] 0.4319577 0.2790743 0.2889679 ## [276,] 0.2537295 0.3763431 0.3699274 ## [277,] 0.3427480 0.3267916 0.3304604 ## [278,] 0.4685094 0.2598782 0.2716124 ## [279,] 0.3478532 0.3218122 0.3303346 ## [280,] 0.2873013 0.3560846 0.3566141 ## [281,] 0.3064869 0.3468300 0.3466831 ## [282,] 0.2701809 0.3666757 0.3631435 ## [283,] 0.3910418 0.2985493 0.3104089 ## [284,] 0.2890067 0.3583604 0.3526329 ## [285,] 0.2627704 0.3731234 0.3641062 ## [286,] 0.3406304 0.3247269 0.3346426 ## [287,] 0.4324224 0.2786363 0.2889413 ## [288,] 0.2790273 0.3637786 0.3571941 ## [289,] 0.4492568 0.2701444 0.2805988 ## [290,] 0.2001309 0.4124043 0.3874649 ## [291,] 0.3578115 0.3172085 0.3249800 ## [292,] 0.2807000 0.3590780 0.3602219 ## [293,] 0.3096351 0.3440531 0.3463118 ## [294,] 0.2168416 0.4018014 0.3813570 ## [295,] 0.3304037 0.3342121 0.3353842 ## [296,] 0.3598859 0.3174120 0.3227021 ## [297,] 0.2589755 0.3765308 0.3644936 ## [298,] 0.3923251 0.2983806 0.3092943 ## [299,] 0.3317652 0.3309239 0.3373108 ## [300,] 0.2988420 0.3515062 0.3496518 ## [301,] 0.2513787 0.3793237 0.3692975 ## [302,] 0.4097096 0.2913056 0.2989848 ## [303,] 0.2855891 0.3577949 0.3566159 ## [304,] 0.2794097 0.3618818 0.3587085 ## [305,] 0.2357597 0.3877806 0.3764597 ## [306,] 0.3175200 0.3417455 0.3407346 ## [307,] 0.2204865 0.3993172 0.3801963 ## [308,] 0.2896502 0.3572454 0.3531044 ## [309,] 0.2112592 0.4049311 0.3838097 ## [310,] 0.3937698 0.2972282 0.3090020 ## [311,] 0.2298360 0.3933175 0.3768465 ## [312,] 0.3199089 0.3385289 0.3415622 ## [313,] 0.3974794 0.2979840 0.3045366 ## [314,] 0.4542800 0.2665088 0.2792112 ## [315,] 0.2753640 0.3652039 0.3594321 ## [316,] 0.3984776 0.2974851 0.3040373 ## [317,] 0.3509228 0.3222816 0.3267956 ## [318,] 0.3681483 0.3133340 0.3185177 ## [319,] 0.4071535 0.2918150 0.3010315 ## [320,] 0.2674568 0.3699147 0.3626285 ## [321,] 0.4322627 0.2791679 0.2885694 ## [322,] 0.3574772 0.3175476 0.3249752 ## [323,] 0.4308319 0.2797543 0.2894138 ## [324,] 0.4777098 0.2550305 0.2672597 ## [325,] 0.3643395 0.3142995 0.3213609 ## [326,] 0.4279718 0.2814593 0.2905690 ## [327,] 0.5234281 0.2280200 0.2485519 ## [328,] 0.4238435 0.2831589 0.2929976 ## [329,] 0.2659933 0.3705432 0.3634635 ## [330,] 0.3142041 0.3434096 0.3423864 ## [331,] 0.3005709 0.3491977 0.3502314 ## [332,] 0.4617563 0.2637911 0.2744526 ## [333,] 0.4149094 0.2877269 0.2973638 ## [334,] 0.4252458 0.2824057 0.2923485 ## [335,] 0.3197852 0.3395472 0.3406676 ## [336,] 0.4261420 0.2826032 0.2912549 ## [337,] 0.4409583 0.2729378 0.2861039 ## [338,] 0.4709957 0.2590913 0.2699130 ## [339,] 0.3048491 0.3476715 0.3474795 ## [340,] 0.2403515 0.3873557 0.3722927 ## [341,] 0.2651047 0.3711051 0.3637902 ## [342,] 0.4431323 0.2734494 0.2834184 ## [343,] 0.2251229 0.3962395 0.3786376 ## [344,] 0.4024845 0.2936915 0.3038240 ## [345,] 0.2702585 0.3667559 0.3629856 ## [346,] 0.3968692 0.2973486 0.3057822 ## [347,] 0.3213505 0.3396557 0.3389938 ## [348,] 0.4510272 0.2690772 0.2798956 ## [349,] 0.4214080 0.2839813 0.2946107 ## [350,] 0.2494715 0.3810524 0.3694762 ## [351,] 0.2642444 0.3712298 0.3645258 ## [352,] 0.2342910 0.3892558 0.3764532 ## [353,] 0.2948064 0.3529175 0.3522761 ## [354,] 0.3149468 0.3415160 0.3435372 ## [355,] 0.3005152 0.3506718 0.3488131 ## [356,] 0.4237413 0.2825962 0.2936624 ## [357,] 0.4457193 0.2718861 0.2823947 ## [358,] 0.3875839 0.3011446 0.3112715 ## [359,] 0.4572142 0.2661225 0.2766633 ## [360,] 0.4410236 0.2741539 0.2848224 ## [361,] 0.2329149 0.3921570 0.3749282 ## [362,] 0.2798553 0.3626030 0.3575417 ## [363,] 0.4548489 0.2668957 0.2782554 ## [364,] 0.2996317 0.3487879 0.3515803 ## [365,] 0.4528763 0.2675483 0.2795755 ## [366,] 0.3822274 0.3058603 0.3119123 ## [367,] 0.3096301 0.3448177 0.3455522 ## [368,] 0.4137712 0.2885839 0.2976449 ## [369,] 0.4307592 0.2783757 0.2908651 ## [370,] 0.2990625 0.3521423 0.3487952 ## [371,] 0.2527015 0.3744275 0.3728710 ## [372,] 0.4702966 0.2585559 0.2711475 ## [373,] 0.2304767 0.3902568 0.3792664 ## [374,] 0.4494077 0.2694876 0.2811047 ## [375,] 0.3803981 0.3053405 0.3142613 ## [376,] 0.3749407 0.3095824 0.3154769 ## [377,] 0.5081581 0.2395275 0.2523144 ## [378,] 0.3298469 0.3342673 0.3358859 ## [379,] 0.4479254 0.2678455 0.2842291 ## [380,] 0.4379661 0.2755522 0.2864817 ## [381,] 0.3113572 0.3443275 0.3443153 ## [382,] 0.4269931 0.2817442 0.2912627 ## [383,] 0.2897065 0.3584673 0.3518262 ## [384,] 0.4254442 0.2817372 0.2928186 ## [385,] 0.4400933 0.2747884 0.2851183 ## [386,] 0.2229361 0.3962666 0.3807973 ## [387,] 0.4546139 0.2672668 0.2781193 ## [388,] 0.3914921 0.3008428 0.3076651 ## [389,] 0.4375038 0.2766758 0.2858205 ## [390,] 0.2351218 0.3911437 0.3737345 ## [391,] 0.4633175 0.2632640 0.2734185 ## [392,] 0.4183257 0.2853436 0.2963308 ## [393,] 0.2767767 0.3641224 0.3591009 ## [394,] 0.3278809 0.3355791 0.3365400 ## [395,] 0.2571434 0.3748493 0.3680073 ## [396,] 0.4894321 0.2492916 0.2612763 ## [397,] 0.4819829 0.2531001 0.2649169 ## [398,] 0.5009624 0.2434740 0.2555636 ## [399,] 0.3312027 0.3316825 0.3371148 ## [400,] 0.5201180 0.2331527 0.2467293 ## [401,] 0.4365836 0.2768012 0.2866153 ## [402,] 0.3146646 0.3415060 0.3438294 ## [403,] 0.3417695 0.3274906 0.3307399 ## [404,] 0.4844240 0.2516275 0.2639485 ## [405,] 0.5061071 0.2404194 0.2534734 ## [406,] 0.3235861 0.3385990 0.3378149 ## [407,] 0.2357590 0.3899615 0.3742794 ## [408,] 0.4789625 0.2548617 0.2661758 ## [409,] 0.3790016 0.3072488 0.3137496 ## [410,] 0.3565138 0.3199341 0.3235521 ## [411,] 0.4151844 0.2878957 0.2969199 ## [412,] 0.2530920 0.3777997 0.3691083 ## [413,] 0.4685947 0.2601353 0.2712701 ## [414,] 0.3419988 0.3239645 0.3340367 ## [415,] 0.4736421 0.2570112 0.2693466 ## [416,] 0.2428299 0.3860247 0.3711455 ## [417,] 0.5004023 0.2430397 0.2565579 ## [418,] 0.3224812 0.3380000 0.3395187 ## [419,] 0.2637691 0.3720403 0.3641905 ## [420,] 0.4254176 0.2832346 0.2913478 ## [421,] 0.4604761 0.2646306 0.2748932 ## [422,] 0.4405772 0.2752070 0.2842158 ## [423,] 0.4709957 0.2592225 0.2697818 ## [424,] 0.4967686 0.2455496 0.2576818 ## [425,] 0.2461510 0.3823059 0.3715431 ## [426,] 0.4599431 0.2644537 0.2756033 ## [427,] 0.2989937 0.3522351 0.3487711 ## [428,] 0.4310010 0.2802327 0.2887663 ## [429,] 0.2018760 0.4114284 0.3866956 ## [430,] 0.3979387 0.2963775 0.3056837 ## [431,] 0.3987866 0.2963317 0.3048817 ## [432,] 0.2586557 0.3751462 0.3661981 ## [433,] 0.3184799 0.3382221 0.3432980 ## [434,] 0.2746633 0.3664244 0.3589122 ## [435,] 0.3819733 0.3057735 0.3122532 ## [436,] 0.2578962 0.3767586 0.3653452 ## [437,] 0.4261748 0.2819366 0.2918886 ## [438,] 0.4399885 0.2755159 0.2844956 ## [439,] 0.3063893 0.3481837 0.3454270 ## [440,] 0.2541736 0.3778038 0.3680226 ## [441,] 0.3003164 0.3521980 0.3474856 ## [442,] 0.4076647 0.2905078 0.3018275 ## [443,] 0.4086545 0.2916330 0.2997125 ## [444,] 0.4156462 0.2884894 0.2958644 ## [445,] 0.2627047 0.3741077 0.3631876 ## [446,] 0.2168317 0.3994948 0.3836735 ## [447,] 0.3209345 0.3401694 0.3388961 ## [448,] 0.2230159 0.3982933 0.3786907 ## [449,] 0.2929905 0.3552767 0.3517328 ## [450,] 0.2723880 0.3682152 0.3593969 ## [451,] 0.3632431 0.3161559 0.3206010 ## [452,] 0.4412094 0.2741041 0.2846865 ## [453,] 0.2904960 0.3562281 0.3532759 ## [454,] 0.4758334 0.2543474 0.2698192 ## [455,] 0.4564013 0.2663541 0.2772446 ## [456,] 0.3229761 0.3384674 0.3385565 ## [457,] 0.5349244 0.2257492 0.2393264 ## [458,] 0.2984667 0.3522859 0.3492474 ## [459,] 0.2926667 0.3559045 0.3514287 ## [460,] 0.2249337 0.3957927 0.3792736 ## [461,] 0.3588214 0.3183871 0.3227915 ## [462,] 0.4321354 0.2786850 0.2891795 ## [463,] 0.2719106 0.3681788 0.3599106 ## [464,] 0.2142018 0.4031949 0.3826033 ## [465,] 0.2297312 0.3914228 0.3788460 ## [466,] 0.3401480 0.3264562 0.3333957 ## [467,] 0.4394621 0.2750704 0.2854675 ## [468,] 0.3070366 0.3452252 0.3477382 ## [469,] 0.2962609 0.3538340 0.3499051 ## [470,] 0.2759894 0.3656231 0.3583875 ## [471,] 0.3102711 0.3458563 0.3438726 ## [472,] 0.3043372 0.3496923 0.3459704 ## [473,] 0.2838959 0.3602376 0.3558665 ## [474,] 0.4808323 0.2527965 0.2663712 ## [475,] 0.2630695 0.3731717 0.3637588 ## [476,] 0.2830624 0.3576059 0.3593317 ## [477,] 0.2373040 0.3896183 0.3730778 ## [478,] 0.3186886 0.3410456 0.3402659 ## [479,] 0.2797855 0.3617935 0.3584210 ## [480,] 0.4808762 0.2531751 0.2659487 ## [481,] 0.2057317 0.4093557 0.3849126 ## [482,] 0.2637691 0.3720403 0.3641905 ## [483,] 0.4306141 0.2799021 0.2894839 ## [484,] 0.3918893 0.3010826 0.3070281 ## [485,] 0.3388280 0.3280223 0.3331497 ## [486,] 0.3893886 0.3009000 0.3097114 ## [487,] 0.2487128 0.3817175 0.3695696 ## [488,] 0.2745962 0.3618196 0.3635842 ## [489,] 0.3795219 0.3070458 0.3134323 ## [490,] 0.4349289 0.2780743 0.2869968 ## [491,] 0.2791322 0.3642773 0.3565905 ## [492,] 0.4295447 0.2804160 0.2900393 ## [493,] 0.2626336 0.3722271 0.3651394 ## [494,] 0.3982564 0.2967728 0.3049707 ## [495,] 0.3815244 0.3058235 0.3126521 ## [496,] 0.4406708 0.2750774 0.2842518 ## [497,] 0.3485897 0.3235791 0.3278312 ## [498,] 0.3848185 0.3038273 0.3113542 ## [499,] 0.2736937 0.3664305 0.3598758 ## [500,] 0.2699416 0.3700465 0.3600118 ## [501,] 0.2491156 0.3804116 0.3704727 ## [502,] 0.4671993 0.2597462 0.2730546 ## [503,] 0.3641602 0.3161898 0.3196500 ## [504,] 0.4896722 0.2493380 0.2609899 ## [505,] 0.3407052 0.3286413 0.3306536 ## [506,] 0.2764480 0.3657517 0.3578003 ## [507,] 0.3188019 0.3397409 0.3414572 ## [508,] 0.2743301 0.3670820 0.3585879 ## [509,] 0.4126091 0.2892564 0.2981345 ## [510,] 0.3812587 0.3067973 0.3119441 ## [511,] 0.2146320 0.4041803 0.3811877 ## [512,] 0.2412361 0.3872531 0.3715108 ## [513,] 0.2511236 0.3811594 0.3677169 ## [514,] 0.2792454 0.3629499 0.3578048 ## [515,] 0.3529167 0.3179700 0.3291133 ## [516,] 0.4003113 0.2946842 0.3050045 ## [517,] 0.2622789 0.3730761 0.3646450 ## [518,] 0.2315138 0.3928752 0.3756110 ## [519,] 0.2556532 0.3784775 0.3658693 ## [520,] 0.3297327 0.3317610 0.3385063 ## [521,] 0.3148602 0.3430439 0.3420959 ## [522,] 0.3737902 0.3098376 0.3163722 ## [523,] 0.3142203 0.3438352 0.3419445 ## [524,] 0.3386889 0.3302983 0.3310128 ## [525,] 0.3810778 0.3044311 0.3144911 ## [526,] 0.2222589 0.3982062 0.3795349 ## [527,] 0.3461568 0.3260418 0.3278014 ## [528,] 0.3974794 0.2979840 0.3045366 ## [529,] 0.3347669 0.3324249 0.3328082 ## [530,] 0.2409930 0.3866457 0.3723613 ## [531,] 0.4140185 0.2892009 0.2967806 ## [532,] 0.2907770 0.3567748 0.3524483 ## [533,] 0.3325450 0.3330369 0.3344181 ## [534,] 0.3421716 0.3281653 0.3296631 ## [535,] 0.3660084 0.3151607 0.3188310 ## [536,] 0.3747191 0.3104701 0.3148107 ## [537,] 0.3126385 0.3449050 0.3424565 ## [538,] 0.3547685 0.3213213 0.3239102 ## [539,] 0.3636575 0.3163828 0.3199598 ## [540,] 0.3339859 0.3328637 0.3331504 ## [541,] 0.3376454 0.3301881 0.3321665 ## [542,] 0.3298750 0.3339246 0.3362004 ## [543,] 0.3418058 0.3280279 0.3301663 ## [544,] 0.3404444 0.3288556 0.3307000 ## [545,] 0.3563507 0.3195509 0.3240985 ## [546,] 0.2997228 0.3517139 0.3485633 ## [547,] 0.2479302 0.3826488 0.3694210 ## [548,] 0.2788491 0.3639856 0.3571652 ## [549,] 0.3038589 0.3496084 0.3465327 ## [550,] 0.3004795 0.3505511 0.3489694 ## [551,] 0.3017873 0.3497509 0.3484617 ## [552,] 0.2934008 0.3553419 0.3512573 ## [553,] 0.3357087 0.3308618 0.3334295 ## [554,] 0.3026567 0.3506653 0.3466779 ## [555,] 0.3250783 0.3366870 0.3382347 ## [556,] 0.3011114 0.3512610 0.3476276 ## [557,] 0.2826079 0.3617897 0.3556024 ## [558,] 0.3089584 0.3463162 0.3447254 ## [559,] 0.3325638 0.3335378 0.3338984 ## [560,] 0.3312232 0.3343154 0.3344613 ## [561,] 0.3297193 0.3347859 0.3354948 ## [562,] 0.3326567 0.3330064 0.3343369 ## [563,] 0.4291058 0.2804375 0.2904567 ## [564,] 0.3060824 0.3481815 0.3457361 ## [565,] 0.3262389 0.3366317 0.3371293 ## [566,] 0.3171445 0.3415534 0.3413020 ## [567,] 0.3446459 0.3261558 0.3291983 ## [568,] 0.3366464 0.3298946 0.3334590 ## [569,] 0.3251377 0.3372257 0.3376366 ## [570,] 0.2936244 0.3553668 0.3510088 ## [571,] 0.3236672 0.3385823 0.3377505 ## [572,] 0.3141256 0.3431067 0.3427677 ## [573,] 0.3180110 0.3414724 0.3405166 ## [574,] 0.3199485 0.3397869 0.3402646 ## [575,] 0.3423381 0.3270335 0.3306284 ## [576,] 0.4519086 0.2687607 0.2793306 ## [577,] 0.3169587 0.3419746 0.3410667 ## [578,] 0.3186388 0.3409630 0.3403982 ## [579,] 0.3448305 0.3251428 0.3300267 ## [580,] 0.2676773 0.3704496 0.3618731 ## [581,] 0.3516840 0.3221411 0.3261748 ## [582,] 0.3215640 0.3384575 0.3399785 ## [583,] 0.3391109 0.3297477 0.3311415 ## [584,] 0.2909161 0.3540714 0.3550125 ## [585,] 0.3295546 0.3349219 0.3355235 ## [586,] 0.3412740 0.3280588 0.3306672 ## [587,] 0.3395474 0.3297544 0.3306983 ## [588,] 0.3386474 0.3302267 0.3311259 ## [589,] 0.3435623 0.3273317 0.3291061 ## [590,] 0.3757106 0.3096709 0.3146185 ## [591,] 0.3372123 0.3310617 0.3317260 ## [592,] 0.3333113 0.3333107 0.3333779 ## [593,] 0.3209450 0.3399373 0.3391177 ## [594,] 0.3356753 0.3317265 0.3325982 ## [595,] 0.3670646 0.3144401 0.3184953 ## [596,] 0.3436783 0.3273556 0.3289662 ## [597,] 0.3685235 0.3136059 0.3178706 ## [598,] 0.3593146 0.3187554 0.3219300 ## [599,] 0.3370342 0.3309291 0.3320368 ## [600,] 0.3686003 0.3132930 0.3181066 ## [601,] 0.3436875 0.3274463 0.3288662 ## [602,] 0.3536252 0.3217893 0.3245855 ## [603,] 0.3316741 0.3339343 0.3343915 ## [604,] 0.2768186 0.3632937 0.3598877 ## [605,] 0.3814680 0.3066867 0.3118453 ## [606,] 0.3393278 0.3298485 0.3308237 ## [607,] 0.3376720 0.3307824 0.3315456 ## [608,] 0.3383737 0.3298288 0.3317975 ## [609,] 0.3439246 0.3268251 0.3292503 ## [610,] 0.3363214 0.3313759 0.3323027 ## [611,] 0.3312768 0.3344014 0.3343218 ## [612,] 0.3796028 0.3075640 0.3128332 ## [613,] 0.3555937 0.3205305 0.3238758 ## [614,] 0.4084329 0.2916662 0.2999009 ## [615,] 0.3313590 0.3336858 0.3349552 ## ## Closest hard clustering: ## [1] 1 2 2 3 1 2 1 1 3 1 1 1 1 1 1 1 1 2 1 1 2 2 2 1 3 2 1 1 3 2 2 2 3 2 3 2 3 ## [38] 2 2 3 2 2 1 2 1 2 1 2 2 2 3 2 2 1 2 2 1 2 3 1 2 1 2 3 3 3 3 2 2 2 1 2 2 2 ## [75] 1 1 1 2 2 2 3 2 2 1 2 2 1 2 2 2 2 2 2 1 1 2 1 2 2 2 2 1 1 1 2 2 3 2 2 2 2 ## [112] 2 1 2 2 1 2 1 2 2 1 1 3 2 1 2 2 2 2 2 2 3 3 2 2 1 2 3 2 2 3 3 2 1 2 3 2 3 ## [149] 1 1 1 1 2 2 3 1 3 1 2 2 2 2 2 2 1 1 2 3 2 3 1 1 2 2 2 2 3 2 1 1 1 2 2 2 2 ## [186] 2 1 1 1 2 2 1 1 2 2 2 3 2 1 1 2 1 2 2 3 2 1 1 2 2 3 2 2 2 2 2 2 1 2 2 1 2 ## [223] 1 2 2 1 2 3 1 3 1 2 2 1 3 2 2 2 2 2 1 2 2 2 2 1 2 2 1 1 1 1 2 3 1 2 1 3 2 ## [260] 2 2 1 2 2 2 1 2 2 2 1 1 1 2 2 1 2 1 1 1 3 2 2 1 2 2 1 1 2 1 2 1 3 3 2 3 1 ## [297] 2 1 3 2 2 1 2 2 2 2 2 2 2 1 2 3 1 1 2 1 1 1 1 2 1 1 1 1 1 1 1 1 2 2 3 1 1 ## [334] 1 3 1 1 1 2 2 2 1 2 1 2 1 2 1 1 2 2 2 2 3 2 1 1 1 1 1 2 2 1 3 1 1 3 1 1 2 ## [371] 2 1 2 1 1 1 1 3 1 1 2 1 2 1 1 2 1 1 1 2 1 1 2 3 2 1 1 1 3 1 1 3 1 1 1 2 2 ## [408] 1 1 1 1 2 1 1 1 2 1 3 2 1 1 1 1 1 2 1 2 1 2 1 1 2 3 2 1 2 1 1 2 2 2 1 1 1 ## [445] 2 2 2 2 2 2 1 1 2 1 1 3 1 2 2 2 1 1 2 2 2 1 1 3 2 2 2 2 2 1 2 3 2 2 2 1 2 ## [482] 2 1 1 1 1 2 3 1 1 2 1 2 1 1 1 1 1 2 2 2 1 1 1 1 2 3 2 1 1 2 2 2 2 1 1 2 2 ## [519] 2 3 2 1 2 1 1 2 1 1 1 2 1 2 3 1 1 1 2 1 1 1 1 3 1 1 1 2 2 2 2 2 2 2 1 2 3 ## [556] 2 2 2 3 3 3 3 1 2 3 2 1 1 3 2 2 2 2 3 1 1 2 2 1 2 1 3 1 3 3 1 1 1 1 1 1 3 ## [593] 2 1 1 1 1 1 1 1 1 1 3 2 1 1 1 1 1 1 2 1 1 1 3 ## ## Available components: ## [1] "centers" "size" "cluster" "membership" "iter" ## [6] "withinerror" "call"aggregate(hcv_clean, by=list(cluster=fcm_data$cluster), mean)## cluster ALB ALP ALT AST BIL CHE CHOL ## 1 1 38.55420 63.00076 22.42557 35.61183 13.963740 6.685420 4.773435 ## 2 2 44.45650 72.09819 33.14621 33.46209 9.568231 9.548195 6.033466 ## 3 3 41.85658 72.10132 32.03684 36.76711 9.211842 8.480263 4.984079 ## CREA GGT PROT ## 1 78.31641 33.66336 68.80229 ## 2 80.33032 41.90036 74.98917 ## 3 95.02105 51.14079 72.48816#Nilai Sihouette sil_fcm <- mean(silhouette(fcm_data$cluster, dist(hcv_scaled))[, 3])Visualisasi Bar Chart untuk Silhouette Score
eval_data <- data.frame( Metode = c("K-Means", "K-Median", "Hierarchical", "DBSCAN", "Fuzzy C-Means"), Silhouette = c(sil_kmeans, sil_kmedian, sil_hc, v_sil_dbscan, sil_fcm) )ggplot(eval_data, aes(x = reorder(Metode, -Silhouette), y = Silhouette, fill = Metode)) + geom_bar(stat = "identity") + geom_text(aes(label = round(Silhouette, 3)), vjust = -0.3) + theme_minimal() + labs(title = "Perbandingan Nilai Silhouette Score 5 Algoritma Clustering", x = "Metode", y = "Silhouette Score")
Visualisasi Scatter Plot untuk DBSCAN
data_viz <- data.frame(res.pca$x[, 1:2]) data_viz$dbscan <- as.factor(db_data$cluster)ggplot(data_viz, aes(x = PC1, y = PC2, color = dbscan)) + geom_point(alpha = 0.5, size = 2) + scale_color_manual(values = c("black", "#00BFC4"), labels = c("Noise (Pasien Sakit)", "Cluster 1 (Sehat)")) + labs(title = "Penyebaran DBSCAN", subtitle = "1 Cluster dan 36 Noise", color = "Keterangan") + theme_minimal()
Visualisasi Scatter Plot untuk Hierarchical Clustering
data_viz$hierarchical <- as.factor(hc_clusters)ggplot(data_viz, aes(x = PC1, y = PC2, color = hierarchical)) + geom_point(alpha = 0.5, size = 2) + scale_color_manual(values = c("#00BFC4", "#F8766D", "#7CAE00"), labels = c("Cluster 1 (Donor Sehat)", "Cluster 2 (Kerusakan Hati)", "Cluster 3 (Komplikasi Ginjal)")) + labs(title = "Penyebaran Hierarchical Clustering", subtitle = "Berbasis Hirarki dengan mengelompokkan seluruh data ke dalam 3 profil klinis", color = "Keterangan") + theme_minimal()