Ragdad Cani Miranti
<style> h1.title {font-size: 18pt; color: DarkBlue;} body, h1, h2, h3, h4 {font-family: "Palatino", serif;} body {font-size: 12pt;} /* Headers */ h1,h2,h3,h4,h5,h6{font-size: 14pt; color: #00008B;} body {color: #333333;} a, a:hover {color: #8B3A62;} pre {font-size: 12px;} </style>Suggested citation: Miranti, Ragdad Cani.(2020). Regional Poverty Convergence across Districts in Indonesia: A Distribution Dynamics Approach https://rpubs.com/canimiranti/distribution_dynamics_poverty514districts
This work is licensed under the Creative Commons Attribution-Non
Commercial-Share Alike 4.0 International License 
Data of Headcount Index (Poverty Rate) are derived from the Indonesia Central Bureau of Statistics (Badan Pusat Statistik Republik of Indonesia). https://www.bps.go.id/
Acknowledgment:
Material adapted from multiple sources, in particular from Magrini (2007).
knitr::opts_chunk$set(echo = TRUE)
library(readr)
library (dplyr)
library(ggplot2)
library(skimr)
library(kableExtra) # html tables
library(pdfCluster) # density based clusters
library(hdrcde) # conditional density estimation
library(plotly)
library(intoo)
library(barsurf)
library(bivariate)
library(np)
library(quantreg)
library(basetheme)
basetheme("minimal")
library(viridis)
library(ggpointdensity)
library(isoband)
#library(MASS)
library(KernSmooth)
# Change the presentation of decimal numbers to 4 and avoid scientific notation
options(prompt="R> ", digits=4, scipen=7)-
Study the dynamics of univariate densities
-
Compute the bandwidth of a density
-
Study mobility plots
-
Study bi-variate densities
-
Study density-based clustering methods
-
Study conditional bi-variate densities
dat <- read_csv("data/poverty.csv")
dat <- as.data.frame(dat)Since the data is in relative terms, let us rename the variables and add new variables.
dat <- dat %>%
mutate(
rel_pov2010 = pov2010/mean(pov2010),
rel_pov2018 = pov2010/mean(pov2018)
)
dat## District Code pov2010 pov2011 pov2012 pov2013 pov2014
## 1 Simeulue 1101 23.61 22.96 21.88 20.57 19.92
## 2 Aceh Singkil 1102 19.38 18.93 17.92 18.73 17.77
## 3 Aceh Selatan 1103 15.93 15.52 14.81 13.44 12.79
## 4 Aceh Tenggara 1104 16.78 16.39 15.64 14.39 13.75
## 5 Aceh Timur 1105 18.42 18.01 17.19 16.59 15.88
## 6 Aceh Tengah 1106 20.09 19.58 18.78 17.76 16.99
## 7 Aceh Barat 1107 24.42 23.81 22.76 23.70 22.97
## 8 Aceh Besar 1108 18.80 18.36 17.50 16.88 16.13
## 9 Pidie 1109 23.80 23.19 22.12 21.12 20.29
## 10 Bireuen 1110 19.50 19.06 18.21 17.65 16.94
## 11 Aceh Utara 1111 23.43 22.89 21.89 20.34 19.58
## 12 Aceh Barat Daya 1112 19.93 19.49 18.51 18.92 17.99
## 13 Gayo Lues 1113 23.90 23.38 22.31 22.33 21.43
## 14 Aceh Tamiang 1114 17.98 17.49 16.70 15.13 14.58
## 15 Nagan Raya 1115 24.06 23.38 22.27 21.75 20.85
## 16 Aceh Jaya 1116 20.17 19.80 18.30 17.53 16.52
## 17 Bener Meriah 1117 26.22 25.50 24.50 23.47 22.45
## 18 Pidie Jaya 1118 26.07 25.43 24.35 22.70 21.78
## 19 Kota Banda Aceh 1171 9.19 9.08 8.65 8.03 7.78
## 20 Kota Sabang 1172 21.68 21.31 20.51 18.31 17.02
## 21 Kota Langsa 1173 15.01 14.66 13.93 12.62 12.08
## 22 Kota Lhokseumawe 1174 14.07 13.73 13.06 12.47 11.93
## 23 Kota Subulussalam 1175 24.33 23.85 22.64 20.69 19.72
## 24 Nias 1201 19.97 19.11 18.67 17.28 16.39
## 25 Mandailing Natal 1202 12.60 11.98 11.57 9.62 9.28
## 26 Tapanuli Selatan 1203 11.96 11.40 11.10 11.33 10.74
## 27 Tapanuli Tengah 1204 16.73 15.96 15.03 15.41 14.47
## 28 Tapanuli Utara 1205 12.49 11.89 11.55 11.68 11.06
## 29 Toba Samosir 1206 10.15 9.67 9.43 9.54 9.23
## 30 Labuhan Batu 1207 10.67 10.15 9.61 8.53 8.20
## 31 Asahan 1208 11.42 10.85 10.52 11.60 10.98
## 32 Simalungun 1209 10.73 10.21 9.96 10.45 10.20
## 33 Dairi 1210 9.97 9.48 9.28 8.68 8.40
## 34 Karo 1211 11.02 10.49 9.93 9.79 9.20
## 35 Deli Serdang 1212 5.34 5.10 4.78 4.71 4.56
## 36 Langkat 1213 10.84 10.31 10.02 10.44 9.99
## 37 Nias Selatan 1214 20.72 19.71 19.04 18.83 17.81
## 38 Humbang Hasundutan 1215 10.60 10.09 9.72 10.00 9.44
## 39 Pakpak Bharat 1216 13.78 13.16 12.40 11.28 10.55
## 40 Samosir 1217 16.50 15.67 15.16 14.01 13.20
## 41 Serdang Bedagai 1218 10.59 10.07 9.89 9.35 8.98
## 42 Batu Bara 1219 12.28 11.67 11.24 11.92 11.25
## 43 Padang Lawas Utara 1220 11.19 10.64 9.98 10.28 9.60
## 44 Padang Lawas 1221 11.13 10.56 9.80 8.59 8.03
## 45 Labuhan Batu Selatan 1222 15.58 14.86 13.95 12.36 11.54
## 46 Labuhan Batu Utara 1223 12.32 11.77 11.34 11.34 10.71
## 47 Nias Utara 1224 31.90 30.44 29.49 30.94 29.28
## 48 Nias Barat 1225 30.89 29.32 28.56 29.65 28.10
## 49 Kota Sibolga 1271 13.90 13.18 13.00 12.90 12.26
## 50 Kota Tanjung Balai 1272 16.31 15.52 14.85 14.85 14.02
## 51 Kota Pematang Siantar 1273 11.72 11.15 10.79 10.93 10.35
## 52 Kota Tebing Tinggi 1274 13.04 12.44 11.93 11.74 11.08
## 53 Kota Medan 1275 10.05 9.63 9.33 9.64 9.12
## 54 Kota Binjai 1276 7.33 7.00 6.72 6.75 6.38
## 55 Kota Padangsidimpuan 1277 10.53 10.08 9.60 9.04 8.52
## 56 Kota Gunungsitoli 1278 33.86 32.12 30.84 30.94 27.63
## 57 Kepulauan Mentawai 1301 19.74 18.85 16.71 16.12 14.96
## 58 Pesisir Selatan 1302 10.22 9.75 8.69 8.64 7.82
## 59 Solok 1303 11.74 11.19 10.04 10.26 9.53
## 60 Sijunjung 1304 10.45 9.94 8.80 8.53 7.74
## 61 Tanah Datar 1305 6.90 6.57 5.96 5.77 5.29
## 62 Padang Pariaman 1306 11.86 11.26 10.13 9.17 8.39
## 63 Agam 1307 9.84 9.39 8.44 7.68 7.02
## 64 Lima Puluh Kota 1308 10.47 9.96 8.90 8.26 7.48
## 65 Pasaman 1309 10.96 10.42 9.31 8.37 7.60
## 66 Solok Selatan 1310 11.11 10.61 9.38 8.12 7.33
## 67 Dharmasraya 1311 10.56 10.09 8.83 7.74 6.97
## 68 Pasaman Barat 1312 9.59 9.14 8.05 7.86 7.08
## 69 Kota Padang 1371 6.31 6.02 5.30 5.02 4.56
## 70 Kota Solok 1372 6.99 6.72 5.88 4.60 4.16
## 71 Kota Sawah Lunto 1373 2.47 2.34 2.17 2.28 2.25
## 72 Kota Padang Panjang 1374 7.60 7.25 6.50 6.66 6.40
## 73 Kota Bukittinggi 1375 6.82 6.49 5.74 5.36 4.96
## 74 Kota Payakumbuh 1376 10.58 10.09 9.00 7.81 7.01
## 75 Kota Pariaman 1377 5.90 5.66 5.02 5.35 5.12
## 76 Kuantan Singingi 1401 12.57 10.19 10.29 11.28 10.75
## 77 Indragiri Hulu 1402 8.90 7.25 7.17 7.50 7.28
## 78 Indragiri Hilir 1403 9.41 7.65 7.81 7.88 7.51
## 79 Pelalawan 1404 14.51 11.93 11.11 12.00 11.15
## 80 Siak 1405 6.49 5.29 5.17 5.54 5.22
## 81 Kampar 1406 10.47 8.52 8.36 9.04 8.68
## 82 Rokan Hulu 1407 13.03 10.66 10.13 10.86 10.13
## 83 Bengkalis 1408 8.25 6.72 6.76 7.57 7.20
## 84 Rokan Hilir 1409 9.30 7.58 7.37 7.73 7.28
## 85 Kepulauan Meranti 1410 42.56 34.53 35.88 35.74 33.85
## 86 Kota Pekanbaru 1471 4.20 3.45 3.38 3.27 3.17
## 87 Kota Dumai 1473 6.45 5.27 5.23 4.98 4.83
## 88 Kerinci 1501 7.83 7.36 7.71 7.35 7.43
## 89 Merangin 1502 8.07 7.68 8.09 9.31 9.37
## 90 Sarolangun 1503 9.66 9.10 9.46 10.51 10.17
## 91 Batang Hari 1504 10.19 9.56 10.13 10.42 10.50
## 92 Muaro Jambi 1505 5.29 4.98 5.08 4.58 4.45
## 93 Tanjung Jabung Timur 1506 12.40 11.60 12.50 13.42 13.55
## 94 Tanjung Jabung Barat 1507 11.08 10.43 10.92 11.61 11.64
## 95 Tebo 1508 6.42 6.05 6.35 6.86 6.89
## 96 Bungo 1509 5.70 5.35 5.55 5.25 5.12
## 97 Kota Jambi 1571 9.90 9.27 9.80 8.91 8.94
## 98 Kota Sungai Penuh 1572 3.64 3.42 3.66 3.30 3.33
## 99 Ogan Komering Ulu 1601 12.28 11.58 11.19 12.31 11.96
## 100 Ogan Komering Ilir 1602 15.98 15.06 14.53 15.82 15.30
## 101 Muara Enim 1603 14.51 13.71 13.21 14.26 13.76
## 102 Lahat 1604 19.02 17.92 17.45 18.61 18.02
## 103 Musi Rawas 1605 19.38 18.25 17.67 17.85 17.28
## 104 Musi Banyuasin 1606 20.06 18.99 18.29 18.02 17.38
## 105 Banyu Asin 1607 12.39 11.66 11.27 12.28 11.88
## 106 Ogan Komering Ulu Selatan 1608 11.53 10.84 10.49 11.57 11.21
## 107 Ogan Komering Ulu Timur 1609 9.81 9.23 8.98 10.28 10.13
## 108 Ogan Ilir 1610 13.97 13.18 12.79 13.86 13.38
## 109 Empat Lawang 1611 14.73 13.82 13.36 13.10 12.89
## 110 Penukal Abab Lematang Ilir 1612 14.67 13.42 13.43 12.86 12.80
## 111 Musi Rawas Utara 1613 23.83 21.67 22.01 22.91 20.32
## 112 Kota Palembang 1671 15.00 14.13 13.59 13.36 12.93
## 113 Kota Prabumulih 1672 12.93 12.19 11.71 11.23 10.86
## 114 Kota Pagar Alam 1673 9.81 9.24 9.00 9.00 8.90
## 115 Kota Lubuklinggau 1674 15.30 14.43 13.88 14.37 13.90
## 116 Bengkulu Selatan 1701 22.62 22.55 22.98 22.59 21.91
## 117 Rejang Lebong 1702 15.11 16.79 17.31 18.48 17.99
## 118 Bengkulu Utara 1703 14.75 14.40 14.41 14.50 13.95
## 119 Kaur 1704 21.22 22.26 22.66 23.25 21.96
## 120 Seluma 1705 20.81 20.90 21.21 21.84 21.17
## 121 Mukomuko 1706 14.06 13.28 13.21 12.98 12.48
## 122 Lebong 1707 13.01 12.43 12.48 12.89 12.44
## 123 Kepahiang 1708 14.78 15.02 15.35 16.13 15.65
## 124 Bengkulu Tengah 1709 6.42 6.49 6.52 7.24 8.22
## 125 Kota Bengkulu 1771 17.69 22.23 22.11 21.51 20.16
## 126 Lampung Barat 1801 17.12 15.99 15.13 13.96 13.70
## 127 Tanggamus 1802 18.30 17.06 16.10 15.24 14.95
## 128 Lampung Selatan 1803 20.61 19.23 18.19 17.09 16.77
## 129 Lampung Timur 1804 21.06 19.66 18.59 17.38 17.05
## 130 Lampung Tengah 1805 16.88 15.76 14.96 13.37 13.13
## 131 Lampung Utara 1806 28.19 26.33 25.17 23.67 23.32
## 132 Way Kanan 1807 18.81 17.63 16.54 15.36 15.03
## 133 Tulangbawang 1808 10.80 10.11 9.43 8.04 8.66
## 134 Pesawaran 1809 20.48 19.06 18.01 17.86 17.51
## 135 Pringsewu 1810 12.45 11.62 11.01 9.81 9.83
## 136 Mesuji 1811 8.65 8.07 7.69 5.81 6.57
## 137 Tulang Bawang Barat 1812 7.63 7.11 6.73 6.31 7.12
## 138 Pesisir Barat 1813 15.36 13.61 14.10 14.75 13.80
## 139 Kota Bandar Lampung 1871 14.58 12.90 12.65 10.85 10.60
## 140 Kota Metro 1872 13.77 12.60 12.09 11.08 10.82
## 141 Bangka 1901 7.81 5.36 5.57 5.40 5.20
## 142 Belitung 1902 10.13 6.97 7.26 8.48 7.36
## 143 Bangka Barat 1903 5.25 3.59 3.72 3.26 3.15
## 144 Bangka Tengah 1904 8.07 5.56 5.77 5.46 5.27
## 145 Bangka Selatan 1905 6.18 4.23 4.40 4.01 3.87
## 146 Belitung Timur 1906 10.36 7.13 7.43 6.90 6.68
## 147 Kota Pangkal Pinang 1971 6.02 4.15 4.29 4.15 4.04
## 148 Karimun 2101 7.21 5.93 6.37 6.69 6.85
## 149 Bintan 2102 7.33 6.04 6.30 6.23 6.09
## 150 Natuna 2103 4.83 4.06 4.26 3.78 4.11
## 151 Lingga 2104 15.81 12.98 14.17 14.03 14.75
## 152 Kepulauan Anambas 2105 4.80 3.95 4.17 4.47 4.91
## 153 Kota Batam 2171 7.26 6.11 5.90 5.20 5.30
## 154 Kota Tanjung Pinang 2172 12.60 10.52 11.04 10.40 9.94
## 155 Kepulauan Seribu 3101 13.01 11.53 11.62 11.01 11.56
## 156 Kota Jakarta Selatan 3171 3.81 3.43 3.49 3.47 3.72
## 157 Kota Jakarta Timur 3172 3.41 3.06 3.12 3.10 3.43
## 158 Kota Jakarta Pusat 3173 3.97 3.56 3.72 3.70 4.12
## 159 Kota Jakarta Barat 3174 3.81 3.44 3.47 3.46 3.72
## 160 Kota Jakarta Utara 3175 5.62 5.07 5.14 5.30 6.00
## 161 Bogor 3201 9.97 9.65 8.82 9.54 8.91
## 162 Sukabumi 3202 10.65 10.28 9.78 9.24 8.81
## 163 Cianjur 3203 14.32 13.82 13.17 12.02 11.47
## 164 Bandung 3204 9.29 8.99 8.32 7.94 7.65
## 165 Garut 3205 13.94 13.47 12.70 12.79 12.47
## 166 Tasikmalaya 3206 12.78 12.36 11.75 11.57 11.26
## 167 Ciamis 3207 10.34 9.98 9.61 8.62 8.38
## 168 Kuningan 3208 14.68 14.20 13.69 13.34 12.72
## 169 Cirebon 3209 16.12 15.56 14.94 14.65 14.22
## 170 Majalengka 3210 15.51 14.98 14.44 14.07 13.42
## 171 Sumedang 3211 12.94 12.48 11.85 11.31 10.78
## 172 Indramayu 3212 16.58 16.01 15.42 14.99 14.29
## 173 Subang 3213 13.54 13.06 12.47 12.35 11.73
## 174 Purwakarta 3214 10.57 10.22 9.56 9.28 8.80
## 175 Karawang 3215 12.21 11.80 11.10 10.69 10.15
## 176 Bekasi 3216 6.11 5.93 5.25 5.20 4.97
## 177 Bandung Barat 3217 14.68 14.22 13.33 12.92 12.26
## 178 Pangandaran 3218 12.85 11.57 10.66 11.40 10.61
## 179 Kota Bogor 3271 9.47 9.16 8.47 8.19 7.74
## 180 Kota Sukabumi 3272 9.24 8.95 8.41 8.05 7.65
## 181 Kota Bandung 3273 4.95 4.78 4.55 4.78 4.65
## 182 Kota Cirebon 3274 12.00 11.56 11.08 10.54 10.03
## 183 Kota Bekasi 3275 6.30 6.12 5.55 5.33 5.25
## 184 Kota Depok 3276 2.84 2.75 2.46 2.32 2.32
## 185 Kota Cimahi 3277 7.40 7.15 6.67 5.63 5.47
## 186 Kota Tasikmalaya 3278 20.71 19.98 18.92 17.19 15.95
## 187 Kota Banjar 3279 8.47 8.21 7.78 7.11 6.95
## 188 Cilacap 3301 18.11 17.15 15.92 15.24 14.21
## 189 Banyumas 3302 20.20 21.11 19.44 18.44 17.45
## 190 Purbalingga 3303 24.58 23.06 21.19 20.53 19.75
## 191 Banjarnegara 3304 19.17 20.38 18.87 18.71 17.77
## 192 Kebumen 3305 22.70 24.06 22.40 21.32 20.50
## 193 Purworejo 3306 16.61 17.51 16.32 15.44 14.41
## 194 Wonosobo 3307 23.15 24.21 22.50 22.08 21.42
## 195 Magelang 3308 14.14 15.18 13.97 13.96 12.98
## 196 Boyolali 3309 13.72 14.97 13.88 13.27 12.36
## 197 Klaten 3310 17.47 17.95 16.71 15.60 14.56
## 198 Sukoharjo 3311 10.94 11.13 10.16 9.87 9.18
## 199 Wonogiri 3312 15.67 15.74 14.67 14.02 13.09
## 200 Karanganyar 3313 13.98 15.29 14.07 13.58 12.62
## 201 Sragen 3314 17.49 17.95 16.72 15.93 14.87
## 202 Grobogan 3315 17.86 17.38 16.14 14.87 13.86
## 203 Blora 3316 16.27 16.24 15.11 14.64 13.66
## 204 Rembang 3317 23.40 23.71 21.88 20.97 19.50
## 205 Pati 3318 14.48 14.69 13.61 12.94 12.06
## 206 Kudus 3319 9.01 9.45 8.63 8.62 7.99
## 207 Jepara 3320 10.18 10.32 9.38 9.23 8.55
## 208 Demak 3321 18.76 18.21 16.73 15.72 14.60
## 209 Semarang 3322 10.50 10.30 9.40 8.51 8.05
## 210 Temanggung 3323 13.46 13.38 12.32 12.42 11.55
## 211 Kendal 3324 14.47 14.26 13.17 12.68 11.80
## 212 Batang 3325 14.67 13.47 12.40 11.96 11.13
## 213 Pekalongan 3326 16.29 15.00 13.86 13.51 12.57
## 214 Pemalang 3327 19.96 20.68 19.28 19.27 18.44
## 215 Tegal 3328 13.11 11.54 10.75 10.58 9.87
## 216 Brebes 3329 23.01 22.72 21.12 20.82 20.00
## 217 Kota Magelang 3371 10.51 11.06 10.31 9.80 9.14
## 218 Kota Surakarta 3372 13.96 12.90 12.01 11.74 10.95
## 219 Kota Salatiga 3373 8.28 7.80 7.11 6.40 5.93
## 220 Kota Semarang 3374 5.12 5.68 5.13 5.25 5.04
## 221 Kota Pekalongan 3375 9.36 10.04 9.47 8.26 8.02
## 222 Kota Tegal 3376 10.62 10.81 10.04 8.84 8.54
## 223 Kulon Progo 3401 23.15 23.62 23.32 21.39 20.64
## 224 Bantul 3402 16.09 17.28 16.97 16.48 15.89
## 225 Gunung Kidul 3403 22.05 23.03 22.72 21.70 20.83
## 226 Sleman 3404 10.70 10.61 10.44 9.68 9.50
## 227 Kota Yogyakarta 3471 9.75 9.62 9.38 8.82 8.67
## 228 Pacitan 3501 19.50 18.13 17.22 16.73 16.18
## 229 Ponorogo 3502 13.22 12.29 11.72 11.92 11.53
## 230 Trenggalek 3503 16.00 14.90 14.15 13.56 13.10
## 231 Tulungagung 3504 10.64 9.90 9.37 9.07 8.75
## 232 Blitar 3505 12.13 11.29 10.70 10.57 10.22
## 233 Kediri 3506 15.52 14.44 13.66 13.23 12.77
## 234 Malang 3507 12.54 11.67 11.00 11.48 11.07
## 235 Lumajang 3508 13.98 13.01 12.36 12.14 11.75
## 236 Jember 3509 13.27 12.44 11.76 11.68 11.28
## 237 Banyuwangi 3510 11.25 10.47 9.93 9.61 9.29
## 238 Bondowoso 3511 17.89 16.66 15.75 15.29 14.76
## 239 Situbondo 3512 16.23 15.11 14.29 13.65 13.15
## 240 Probolinggo 3513 25.22 23.48 22.14 21.21 20.44
## 241 Pasuruan 3514 13.18 12.26 11.53 11.26 10.86
## 242 Sidoarjo 3515 7.45 6.97 6.42 6.72 6.40
## 243 Mojokerto 3516 12.23 11.38 10.67 10.99 10.56
## 244 Jombang 3517 13.84 12.88 12.18 11.17 10.80
## 245 Nganjuk 3518 14.91 13.88 13.17 13.60 13.14
## 246 Madiun 3519 15.45 14.37 13.65 12.45 12.04
## 247 Magetan 3520 12.94 12.01 11.45 12.19 11.80
## 248 Ngawi 3521 18.26 16.74 15.94 15.45 14.88
## 249 Bojonegoro 3522 18.78 17.47 16.60 16.02 15.48
## 250 Tuban 3523 20.19 18.78 17.77 17.23 16.64
## 251 Lamongan 3524 18.70 17.41 16.64 16.18 15.68
## 252 Gresik 3525 16.42 15.33 14.29 13.94 13.41
## 253 Bangkalan 3526 28.12 26.22 24.61 23.23 22.38
## 254 Sampang 3527 32.47 30.21 27.87 27.08 25.80
## 255 Pamekasan 3528 22.47 20.94 19.53 18.53 17.74
## 256 Sumenep 3529 24.61 23.10 21.87 21.22 20.49
## 257 Kota Kediri 3571 9.31 8.63 8.11 8.23 7.95
## 258 Kota Blitar 3572 7.63 7.12 6.72 7.42 7.15
## 259 Kota Malang 3573 5.90 5.50 5.19 4.87 4.80
## 260 Kota Probolinggo 3574 19.03 17.74 18.33 8.55 8.37
## 261 Kota Pasuruan 3575 9.00 8.39 7.87 7.60 7.34
## 262 Kota Mojokerto 3576 7.41 6.89 6.46 6.65 6.42
## 263 Kota Madiun 3577 6.11 5.66 5.35 5.02 4.86
## 264 Kota Surabaya 3578 7.07 6.58 6.23 6.00 5.79
## 265 Kota Batu 3579 5.08 4.74 4.45 4.77 4.59
## 266 Pandeglang 3601 11.14 9.80 9.27 10.25 9.50
## 267 Lebak 3602 10.38 9.20 8.62 9.50 9.17
## 268 Tangerang 3603 7.18 6.42 5.71 5.78 5.26
## 269 Serang 3604 6.34 5.63 5.28 5.02 4.87
## 270 Kota Tangerang 3671 6.88 6.14 5.55 5.26 4.91
## 271 Kota Cilegon 3672 4.46 3.98 3.81 3.99 3.81
## 272 Kota Serang 3673 7.02 6.25 5.69 5.92 5.70
## 273 Kota Tangerang Selatan 3674 1.67 1.50 1.33 1.75 1.68
## 274 Jembrana 5101 8.11 6.56 5.74 5.56 5.83
## 275 Tabanan 5102 6.96 5.62 4.90 5.21 5.61
## 276 Badung 5103 3.23 2.62 2.16 2.46 2.54
## 277 Gianyar 5104 6.68 5.40 4.69 4.27 4.57
## 278 Klungkung 5105 7.58 6.10 5.37 7.01 7.01
## 279 Bangli 5106 6.41 5.16 4.52 5.45 5.86
## 280 Karang Asem 5107 7.95 6.43 5.63 6.88 7.30
## 281 Buleleng 5108 7.35 5.93 5.19 6.31 6.79
## 282 Kota Denpasar 5171 2.21 1.79 1.52 2.07 2.21
## 283 Lombok Barat 5201 21.59 19.70 17.91 17.43 17.11
## 284 Lombok Tengah 5202 19.92 18.14 16.71 16.20 16.03
## 285 Lombok Timur 5203 23.82 21.71 20.07 19.16 19.00
## 286 Sumbawa 5204 21.74 19.82 18.25 17.04 16.87
## 287 Dompu 5205 19.89 18.17 16.57 14.24 15.46
## 288 Bima 5206 19.41 17.66 16.22 16.24 16.04
## 289 Sumbawa Barat 5207 21.81 19.88 17.60 17.10 16.87
## 290 Lombok Utara 5208 43.12 39.27 35.97 35.88 34.27
## 291 Kota Mataram 5271 14.44 13.18 11.87 10.75 10.53
## 292 Kota Bima 5272 12.81 11.69 10.54 9.91 9.74
## 293 Sumba Barat 5301 31.71 29.84 29.56 28.92 27.79
## 294 Sumba Timur 5302 32.41 30.63 30.30 28.58 27.63
## 295 Kupang 5303 20.78 19.54 20.10 20.06 19.05
## 296 Timor Tengah Selatan 5304 28.70 26.96 27.49 27.81 26.79
## 297 Timor Tengah Utara 5305 22.72 21.33 21.53 21.59 20.89
## 298 Belu 5306 15.48 14.61 14.52 14.58 14.24
## 299 Alor 5307 21.16 19.97 20.03 20.11 19.48
## 300 Lembata 5308 26.74 25.17 24.74 23.25 22.32
## 301 Flores Timur 5309 9.61 9.06 9.12 8.10 7.83
## 302 Sikka 5310 13.38 12.63 12.81 12.66 12.27
## 303 Ende 5311 21.64 20.37 20.68 21.03 20.37
## 304 Ngada 5312 12.05 11.36 11.33 11.19 10.76
## 305 Manggarai 5313 22.90 21.39 21.49 20.96 20.22
## 306 Rote Ndao 5314 32.79 30.99 29.07 28.25 26.85
## 307 Manggarai Barat 5315 20.39 19.27 18.87 18.21 17.20
## 308 Sumba Tengah 5316 34.02 32.10 32.05 31.93 31.40
## 309 Sumba Barat Daya 5317 29.87 27.93 27.67 26.87 25.78
## 310 Nagekeo 5318 12.70 12.01 12.16 12.08 12.02
## 311 Manggarai Timur 5319 25.93 24.52 24.56 24.85 24.01
## 312 Sabu Raijua 5320 41.13 39.49 32.61 31.02 29.48
## 313 Malaka 5321 21.51 19.11 18.96 19.11 17.36
## 314 Kota Kupang 5371 10.56 9.88 9.39 9.12 8.70
## 315 Sambas 6101 10.08 9.38 8.88 9.90 9.46
## 316 Bengkayang 6102 7.81 7.25 6.74 8.01 7.20
## 317 Landak 6103 14.05 13.13 12.41 14.18 13.71
## 318 Pontianak 6104 6.41 5.97 5.64 6.30 6.00
## 319 Sanggau 6105 5.02 4.67 4.40 4.71 4.47
## 320 Ketapang 6106 13.67 12.75 11.91 12.85 11.60
## 321 Sintang 6107 9.76 9.07 8.55 10.09 9.11
## 322 Kapuas Hulu 6108 11.39 10.61 9.95 11.11 10.03
## 323 Sekadau 6109 6.77 6.30 5.93 6.93 6.31
## 324 Melawi 6110 13.76 12.93 12.10 13.70 12.40
## 325 Kayong Utara 6111 11.68 10.91 10.16 10.87 9.55
## 326 Kubu Raya 6112 7.14 6.67 6.27 6.04 5.45
## 327 Kota Pontianak 6171 6.62 6.15 5.77 5.56 5.15
## 328 Kota Singkawang 6172 6.12 5.69 5.32 6.50 5.88
## 329 Kotawaringin Barat 6201 6.97 6.19 5.64 5.44 5.27
## 330 Kotawaringin Timur 6202 8.36 7.43 6.91 6.85 6.67
## 331 Kapuas 6203 7.11 6.28 6.11 6.19 6.12
## 332 Barito Selatan 6204 8.56 7.56 7.26 6.26 6.13
## 333 Barito Utara 6205 7.18 6.33 6.11 5.98 5.88
## 334 Sukamara 6206 6.63 5.90 5.37 4.56 4.29
## 335 Lamandau 6207 5.81 5.18 4.66 4.87 4.66
## 336 Seruyan 6208 9.98 8.82 7.92 8.77 8.39
## 337 Katingan 6209 7.56 6.47 6.10 6.55 6.42
## 338 Pulang Pisau 6210 6.18 5.45 5.25 5.45 5.35
## 339 Gunung Mas 6211 8.06 7.12 6.56 6.90 6.70
## 340 Barito Timur 6212 10.50 9.27 8.53 8.83 8.55
## 341 Murung Raya 6213 7.05 6.30 5.78 6.44 6.24
## 342 Kota Palangka Raya 6271 5.31 4.69 4.24 3.94 3.81
## 343 Tanah Laut 6301 5.12 4.85 4.56 4.33 4.38
## 344 Kota Baru 6302 5.45 5.18 4.86 4.73 4.76
## 345 Banjar 6303 3.34 3.17 2.97 2.84 2.87
## 346 Barito Kuala 6304 5.72 5.41 5.12 5.12 5.19
## 347 Tapin 6305 5.57 5.29 5.00 3.41 3.63
## 348 Hulu Sungai Selatan 6306 7.66 7.25 6.90 6.67 6.77
## 349 Hulu Sungai Tengah 6307 6.31 5.98 5.68 5.57 5.65
## 350 Hulu Sungai Utara 6308 7.76 7.31 6.94 6.92 7.00
## 351 Tabalong 6309 6.53 6.22 5.84 6.15 6.21
## 352 Tanah Bumbu 6310 6.48 6.17 5.48 5.20 5.21
## 353 Balangan 6311 7.74 7.31 6.86 6.17 6.29
## 354 Kota Banjarmasin 6371 5.04 4.77 4.51 4.21 4.27
## 355 Kota Banjar Baru 6372 5.98 5.68 5.16 4.50 4.35
## 356 Paser 6401 9.48 7.91 7.64 7.94 7.87
## 357 Kutai Barat 6402 9.90 8.25 8.28 7.70 7.53
## 358 Kutai Kartanegara 6403 8.68 7.21 6.94 7.52 7.43
## 359 Kutai Timur 6404 11.38 9.43 8.77 9.06 9.10
## 360 Berau 6405 6.60 5.46 5.24 4.83 4.76
## 361 Penajam Paser Utara 6409 10.46 8.67 8.57 7.70 7.56
## 362 Mahakam Hulu 6411 8.71 8.90 10.14 9.43 9.66
## 363 Kota Balikpapan 6471 4.07 3.39 3.30 2.48 2.46
## 364 Kota Samarinda 6472 5.21 4.31 4.18 4.63 4.56
## 365 Kota Bontang 6474 6.67 5.40 5.20 5.16 5.10
## 366 Malinau 6501 15.29 12.67 11.68 10.48 10.12
## 367 Bulungan 6502 14.57 12.14 11.73 12.04 11.87
## 368 Tana Tidung 6503 13.89 11.41 9.81 10.21 9.50
## 369 Nunukan 6504 12.45 10.38 9.60 9.51 8.69
## 370 Kota Tarakan 6571 10.23 8.41 7.95 7.90 7.68
## 371 Bolaang Mongondow 7101 9.70 8.60 7.67 8.91 8.59
## 372 Minahasa 7102 8.99 7.93 7.15 8.81 8.53
## 373 Kepulauan Sangihe 7103 13.21 11.69 10.65 12.19 11.84
## 374 Kepulauan Talaud 7104 11.37 10.05 9.06 10.27 9.92
## 375 Minahasa Selatan 7105 10.74 9.48 8.61 10.08 9.85
## 376 Minahasa Utara 7106 8.38 7.38 6.68 8.02 7.75
## 377 Bolaang Mongondow Utara 7107 10.23 8.98 8.01 9.61 9.27
## 378 Siau Tagulandang Biaro 7108 11.79 10.38 9.47 11.36 11.03
## 379 Minahasa Tenggara 7109 17.64 15.35 14.24 16.10 15.76
## 380 Bolaang Mongondow Selatan 7110 18.81 16.57 15.07 15.28 15.00
## 381 Bolaang Mongondow Timur 7111 7.81 6.93 6.20 6.92 6.61
## 382 Kota Manado 7171 6.15 5.40 4.91 4.88 4.81
## 383 Kota Bitung 7172 9.52 8.46 7.45 6.45 6.34
## 384 Kota Tomohon 7173 7.39 6.56 5.82 6.57 6.32
## 385 Kota Kotamobagu 7174 7.57 6.64 5.85 5.98 5.75
## 386 Banggai Kepulauan 7201 19.47 18.08 17.03 16.30 15.45
## 387 Banggai 7202 12.06 11.25 10.48 9.81 9.27
## 388 Morowali 7203 20.27 18.85 17.25 15.92 14.97
## 389 Poso 7204 21.42 20.10 18.46 18.22 17.09
## 390 Donggala 7205 19.42 18.03 17.02 17.18 16.30
## 391 ToliToli 7206 16.16 15.03 14.12 13.86 13.14
## 392 Buol 7207 18.67 17.40 15.99 15.06 14.18
## 393 Parigi Moutong 7208 20.11 18.70 17.36 17.03 16.60
## 394 Tojo UnaUna 7209 24.06 22.37 20.97 20.61 18.95
## 395 Sigi 7210 15.09 14.03 13.20 12.27 11.63
## 396 Banggai Laut 7211 20.58 19.20 17.78 17.58 16.74
## 397 Morowali Utara 7212 17.85 15.72 14.91 14.79 15.29
## 398 Kota Palu 7271 9.98 9.24 8.58 7.24 7.05
## 399 Kepulauan Selayar 7301 14.98 13.49 12.87 14.23 13.13
## 400 Bulukumba 7302 9.02 8.12 7.82 9.04 8.37
## 401 Bantaeng 7303 10.24 9.21 8.89 10.45 9.68
## 402 Jeneponto 7304 19.09 17.16 16.58 16.52 15.31
## 403 Takalar 7305 11.16 10.04 9.59 10.42 9.62
## 404 Gowa 7306 9.49 8.55 8.05 8.73 8.00
## 405 Sinjai 7307 10.68 9.63 9.28 10.32 9.56
## 406 Maros 7308 14.62 13.14 12.55 12.94 11.93
## 407 Pangkajene Dan Kepulauan 7309 19.26 17.36 16.62 17.75 16.38
## 408 Barru 7310 10.68 9.59 9.28 10.32 9.74
## 409 Bone 7311 14.08 12.67 12.25 11.92 10.88
## 410 Soppeng 7312 10.41 9.36 9.12 9.43 8.76
## 411 Wajo 7313 8.96 8.06 7.83 8.17 7.74
## 412 Sidenreng Rappang 7314 6.99 6.29 6.00 6.30 5.82
## 413 Pinrang 7315 9.01 8.12 7.82 8.86 8.20
## 414 Enrekang 7316 16.84 15.18 14.44 15.11 13.90
## 415 Luwu 7317 15.43 13.93 13.33 15.10 13.95
## 416 Tana Toraja 7318 14.61 13.22 12.72 13.81 12.77
## 417 Luwu Utara 7322 16.24 14.64 14.02 15.52 14.31
## 418 Luwu Timur 7325 9.18 8.29 7.71 8.38 7.67
## 419 Toraja Utara 7326 19.08 17.06 16.27 16.53 15.10
## 420 Kota Makassar 7371 5.86 5.29 5.02 4.70 4.48
## 421 Kota Parepare 7372 6.53 5.91 5.58 6.38 5.88
## 422 Kota Palopo 7373 11.28 10.22 9.46 9.57 8.80
## 423 Buton 7401 17.95 16.64 15.47 15.25 14.31
## 424 Muna 7402 17.35 16.14 14.65 15.32 14.46
## 425 Konawe 7403 17.45 15.83 14.63 16.58 15.47
## 426 Kolaka 7404 18.90 17.62 15.57 16.20 14.99
## 427 Konawe Selatan 7405 14.13 12.57 11.23 12.45 11.60
## 428 Bombana 7406 15.70 14.68 12.82 14.28 13.20
## 429 Wakatobi 7407 18.49 17.10 16.00 17.40 16.27
## 430 Kolaka Utara 7408 20.04 18.76 16.41 17.41 16.10
## 431 Buton Utara 7409 18.78 17.34 15.76 17.53 16.35
## 432 Konawe Utara 7410 13.69 12.80 11.79 10.62 10.15
## 433 Kolaka Timur 7411 19.06 16.94 15.85 17.34 15.58
## 434 Konawe Kepulauan 7412 20.74 19.54 18.32 18.18 16.85
## 435 Muna Barat 7413 15.65 15.69 15.62 15.65 15.80
## 436 Buton Tengah 7414 23.14 22.41 21.86 23.34 21.05
## 437 Buton Selatan 7415 20.36 20.04 20.76 20.24 18.71
## 438 Kota Kendari 7471 8.02 5.89 6.40 6.07 5.56
## 439 Kota Baubau 7472 12.06 11.32 10.03 10.11 9.25
## 440 Boalemo 7501 19.82 21.90 20.41 21.79 20.79
## 441 Gorontalo 7502 18.87 21.31 20.78 21.57 21.05
## 442 Pohuwato 7503 18.73 21.58 20.17 21.47 20.69
## 443 Bone Bolango 7504 17.64 17.39 16.66 17.19 16.68
## 444 Gorontalo Utara 7505 19.58 19.22 18.53 19.16 18.34
## 445 Kota Gorontalo 7571 5.49 5.97 5.61 5.99 5.85
## 446 Majene 7601 18.41 17.06 16.52 15.26 15.05
## 447 Polewali Mandar 7602 21.24 19.66 19.10 18.02 17.79
## 448 Mamasa 7603 16.24 15.04 14.38 13.92 13.82
## 449 Mamuju 7604 8.16 7.59 7.12 6.81 6.72
## 450 Mamuju Utara 7605 6.20 5.77 5.30 4.71 4.65
## 451 Mamuju Tengah 7606 8.42 8.30 7.97 7.45 6.02
## 452 Maluku Tenggara Barat 8101 33.93 30.13 28.43 29.75 28.56
## 453 Maluku Tenggara 8102 30.70 27.16 26.01 25.06 24.21
## 454 Maluku Tengah 8103 28.41 25.15 24.04 22.15 21.41
## 455 Buru 8104 24.82 22.00 19.77 18.51 17.55
## 456 Kepulauan Aru 8105 34.96 30.96 28.55 27.34 26.33
## 457 Seram Bagian Barat 8106 30.08 26.70 25.34 24.63 23.79
## 458 Seram Bagian Timur 8107 31.44 27.94 25.90 24.49 23.40
## 459 Maluku Barat Daya 8108 39.22 34.49 32.53 29.25 28.33
## 460 Buru Selatan 8109 21.82 19.33 18.28 17.05 16.59
## 461 Kota Ambon 8171 7.67 6.83 5.98 4.42 4.23
## 462 Kota Tual 8172 32.01 28.17 25.64 23.28 22.31
## 463 Halmahera Barat 8201 13.30 12.93 10.65 9.78 9.56
## 464 Halmahera Tengah 8202 24.56 22.68 18.47 17.44 16.88
## 465 Kepulauan Sula 8203 8.98 10.42 8.54 9.16 8.76
## 466 Halmahera Selatan 8204 9.51 8.11 6.58 6.04 5.87
## 467 Halmahera Utara 8205 7.82 8.46 6.75 5.90 5.74
## 468 Halmahera Timur 8206 19.30 20.72 16.41 16.43 15.94
## 469 Pulau Morotai 8207 10.59 11.61 9.49 9.18 8.74
## 470 Pulau Taliabu 8208 9.16 8.78 8.08 8.65 7.87
## 471 Kota Ternate 8271 4.53 5.16 4.02 3.24 3.16
## 472 Kota Tidore Kepulauan 8272 7.08 7.34 6.02 5.77 5.71
## 473 Fakfak 9101 33.25 33.18 29.28 29.84 29.18
## 474 Kaimana 9102 20.89 20.84 18.01 18.60 17.65
## 475 Teluk Wondama 9103 44.25 43.86 38.43 39.43 38.81
## 476 Teluk Bintuni 9104 47.53 47.44 40.62 40.33 38.92
## 477 Manokwari 9105 34.00 33.95 29.43 28.45 27.63
## 478 Sorong Selatan 9106 23.02 22.93 20.01 20.50 19.73
## 479 Sorong 9107 33.43 33.38 33.70 35.48 34.30
## 480 Raja Ampat 9108 23.58 23.50 21.05 21.16 20.73
## 481 Tambrauw 9109 44.71 43.77 38.77 38.68 38.35
## 482 Maybrat 9110 40.13 40.16 34.99 35.64 35.20
## 483 Manokwari Selatan 911 34.53 32.85 32.76 33.07 31.31
## 484 Pegunungan Arfak 9112 42.16 41.19 39.03 37.97 36.19
## 485 Kota Sorong 9171 14.04 14.04 19.36 19.27 18.37
## 486 Merauke 9401 14.54 13.22 12.94 12.33 10.20
## 487 Jayawijaya 9402 41.84 39.03 39.04 41.81 39.60
## 488 Jayapura 9403 18.64 17.30 17.08 17.58 14.18
## 489 Nabire 9404 33.68 30.86 30.64 27.69 23.92
## 490 Kepulauan Yapen 9408 33.54 30.76 30.34 29.32 26.39
## 491 Biak Numfor 9409 33.61 30.31 29.83 30.28 27.44
## 492 Paniai 9410 43.47 37.18 38.68 40.15 36.07
## 493 Puncak Jaya 9411 43.80 40.25 38.20 39.92 36.15
## 494 Mimika 9412 22.57 20.78 20.08 20.37 16.11
## 495 Boven Digoel 9413 25.79 23.52 22.78 23.70 18.87
## 496 Mappi 9414 33.11 30.14 29.29 30.35 25.95
## 497 Asmat 9415 35.40 32.38 30.56 33.84 29.10
## 498 Yahukimo 9416 46.21 42.49 41.97 43.27 39.02
## 499 Pegunungan Bintang 9417 40.08 36.23 35.62 37.23 32.78
## 500 Tolikara 9418 41.17 37.81 36.29 38.00 33.27
## 501 Sarmi 9419 21.09 19.42 18.82 17.72 13.32
## 502 Keerom 9420 24.12 21.98 21.65 23.23 19.12
## 503 Waropen 9426 39.88 36.23 36.62 37.27 32.63
## 504 Supiori 9427 45.75 42.73 41.56 41.50 36.65
## 505 Mamberamo Raya 9428 39.98 36.38 35.20 34.25 29.86
## 506 Nduga * 9429 42.53 39.49 38.13 39.69 35.89
## 507 Lanny Jaya 9430 46.55 43.68 42.31 43.79 39.26
## 508 Mamberamo Tengah 9431 43.15 43.69 42.83 39.59 35.47
## 509 Yalimo 9432 44.13 40.65 39.48 40.33 35.65
## 510 Puncak 9433 44.65 40.77 39.37 41.96 37.85
## 511 Dogiyai 9434 33.96 30.40 30.07 32.25 29.10
## 512 Intan Jaya 9435 47.82 41.53 40.64 42.03 38.16
## 513 Deiyai 9436 49.58 46.76 45.92 47.52 44.49
## 514 Kota Jayapura 9471 17.31 16.03 15.76 16.19 12.21
## pov2015 pov2016 pov2017 pov2018 rel_pov2010 rel_pov2018
## 1 20.43 19.93 20.20 19.78 1.5120 1.9133
## 2 21.72 21.60 22.11 21.25 1.2411 1.5705
## 3 13.24 13.48 14.07 14.01 1.0202 1.2909
## 4 14.91 14.46 14.86 14.29 1.0746 1.3598
## 5 15.85 15.06 15.25 14.49 1.1796 1.4927
## 6 17.51 16.64 16.84 15.58 1.2866 1.6281
## 7 21.46 20.38 20.28 19.31 1.5639 1.9790
## 8 15.93 15.55 15.41 14.47 1.2039 1.5235
## 9 21.18 21.25 21.43 20.47 1.5241 1.9287
## 10 16.94 15.95 15.87 14.31 1.2488 1.5802
## 11 19.20 19.46 19.78 18.27 1.5005 1.8987
## 12 18.25 18.03 18.31 17.10 1.2763 1.6151
## 13 21.95 21.86 21.97 20.70 1.5306 1.9368
## 14 14.57 14.51 14.69 14.21 1.1514 1.4571
## 15 20.13 19.25 19.34 18.97 1.5408 1.9498
## 16 15.93 15.01 14.85 14.16 1.2917 1.6345
## 17 21.55 21.43 21.14 20.13 1.6791 2.1248
## 18 21.40 21.18 21.82 20.17 1.6695 2.1127
## 19 7.72 7.41 7.44 7.25 0.5885 0.7447
## 20 17.69 17.33 17.66 16.31 1.3884 1.7569
## 21 11.62 11.09 11.24 10.79 0.9612 1.2164
## 22 12.16 11.98 12.32 11.81 0.9010 1.1402
## 23 20.39 19.57 19.71 18.51 1.5581 1.9717
## 24 18.05 17.64 18.11 16.37 1.2789 1.6183
## 25 11.13 10.98 11.02 9.58 0.8069 1.0211
## 26 11.37 11.15 10.60 9.16 0.7659 0.9692
## 27 15.00 14.58 14.66 13.17 1.0714 1.3558
## 28 11.41 11.25 11.35 9.75 0.7999 1.0122
## 29 10.21 10.08 10.19 8.67 0.6500 0.8225
## 30 8.99 8.95 8.89 8.61 0.6833 0.8647
## 31 12.09 11.86 11.67 10.25 0.7313 0.9255
## 32 10.96 10.81 10.65 9.31 0.6871 0.8695
## 33 9.09 8.90 8.87 8.20 0.6385 0.8080
## 34 9.68 9.81 9.97 8.67 0.7057 0.8930
## 35 4.74 4.86 4.62 4.13 0.3420 0.4327
## 36 11.30 11.36 11.15 10.20 0.6942 0.8785
## 37 19.05 18.60 18.48 16.65 1.3269 1.6791
## 38 9.85 9.78 9.85 9.00 0.6788 0.8590
## 39 11.26 10.72 10.53 9.74 0.8825 1.1167
## 40 14.11 14.40 14.72 13.38 1.0567 1.3371
## 41 9.59 9.53 9.30 8.22 0.6782 0.8582
## 42 12.61 12.24 12.48 12.57 0.7864 0.9952
## 43 10.97 10.87 10.70 10.06 0.7166 0.9068
## 44 8.73 8.69 9.10 8.41 0.7128 0.9020
## 45 11.65 11.49 11.63 10.00 0.9977 1.2626
## 46 11.31 10.97 11.28 10.12 0.7890 0.9984
## 47 32.62 30.92 29.06 26.56 2.0429 2.5851
## 48 29.96 28.36 27.23 26.72 1.9782 2.5033
## 49 13.48 13.30 13.69 12.38 0.8902 1.1264
## 50 15.08 14.49 14.46 14.64 1.0445 1.3217
## 51 10.47 9.99 10.10 8.70 0.7505 0.9498
## 52 12.03 11.70 11.90 10.27 0.8351 1.0567
## 53 9.41 9.30 9.11 8.25 0.6436 0.8144
## 54 7.03 6.67 6.75 5.88 0.4694 0.5940
## 55 8.77 8.32 8.25 7.69 0.6743 0.8533
## 56 25.42 23.43 21.66 18.44 2.1684 2.7440
## 57 15.52 15.12 14.67 14.44 1.2641 1.5997
## 58 8.46 7.92 7.79 7.59 0.6545 0.8282
## 59 10.00 9.32 9.06 8.88 0.7518 0.9514
## 60 7.87 7.60 7.35 7.11 0.6692 0.8469
## 61 5.82 5.68 5.56 5.32 0.4419 0.5592
## 62 8.86 8.91 8.46 8.04 0.7595 0.9611
## 63 7.58 7.83 7.59 6.76 0.6302 0.7974
## 64 7.65 7.59 7.15 6.99 0.6705 0.8485
## 65 8.14 7.65 7.41 7.31 0.7019 0.8882
## 66 7.52 7.35 7.21 7.07 0.7115 0.9003
## 67 7.17 7.16 6.68 6.42 0.6763 0.8558
## 68 7.93 7.40 7.26 7.34 0.6141 0.7772
## 69 4.93 4.68 4.74 4.70 0.4041 0.5114
## 70 4.12 3.86 3.66 3.30 0.4476 0.5665
## 71 2.22 2.21 2.01 2.39 0.1582 0.2002
## 72 6.74 6.75 6.17 5.88 0.4867 0.6159
## 73 5.36 5.48 5.35 4.92 0.4368 0.5527
## 74 6.67 6.46 5.88 5.77 0.6775 0.8574
## 75 5.42 5.23 5.20 5.03 0.3778 0.4781
## 76 10.80 9.85 9.97 9.92 0.8050 1.0187
## 77 7.76 7.15 6.94 6.30 0.5700 0.7212
## 78 8.11 7.99 7.70 7.05 0.6026 0.7626
## 79 12.09 11.00 10.25 9.73 0.9292 1.1759
## 80 5.67 5.52 5.80 5.44 0.4156 0.5259
## 81 9.17 8.38 8.02 8.18 0.6705 0.8485
## 82 11.05 11.05 10.91 10.95 0.8344 1.0559
## 83 7.38 6.82 6.85 6.22 0.5283 0.6686
## 84 7.67 7.97 7.88 7.06 0.5956 0.7537
## 85 34.08 30.89 28.99 27.79 2.7255 3.4490
## 86 3.27 3.07 3.05 2.85 0.2690 0.3404
## 87 5.26 4.74 4.57 3.71 0.4131 0.5227
## 88 8.16 7.48 7.45 7.07 0.5014 0.6345
## 89 9.80 9.95 9.43 8.88 0.5168 0.6540
## 90 10.29 9.33 8.87 8.73 0.6186 0.7828
## 91 10.69 10.79 10.33 10.23 0.6526 0.8258
## 92 4.63 4.30 4.37 4.05 0.3388 0.4287
## 93 14.17 12.76 12.58 12.38 0.7941 1.0049
## 94 12.63 11.81 11.32 11.10 0.7096 0.8979
## 95 7.12 6.87 6.79 6.58 0.4111 0.5203
## 96 5.70 5.99 5.82 5.78 0.3650 0.4619
## 97 9.67 8.87 8.84 8.49 0.6340 0.8023
## 98 3.43 3.13 2.78 2.76 0.2331 0.2950
## 99 13.22 13.29 12.95 12.61 0.7864 0.9952
## 100 17.08 16.03 15.75 15.28 1.0234 1.2950
## 101 14.54 13.56 13.19 12.56 0.9292 1.1759
## 102 18.02 17.11 16.81 16.15 1.2180 1.5413
## 103 15.13 14.30 14.24 13.76 1.2411 1.5705
## 104 18.35 17.27 16.75 16.52 1.2846 1.6256
## 105 12.45 11.72 11.47 11.32 0.7935 1.0041
## 106 11.58 10.95 10.98 10.64 0.7384 0.9344
## 107 11.24 11.29 11.00 10.57 0.6282 0.7950
## 108 14.43 13.80 13.58 13.19 0.8946 1.1321
## 109 13.33 12.54 12.44 12.25 0.9433 1.1937
## 110 14.88 14.26 14.53 13.81 0.9395 1.1888
## 111 19.73 20.00 19.49 19.12 1.5261 1.9311
## 112 12.85 12.04 11.40 10.95 0.9606 1.2156
## 113 12.12 11.44 11.42 11.39 0.8280 1.0478
## 114 9.64 9.19 8.89 8.77 0.6282 0.7950
## 115 15.16 13.99 13.12 13.02 0.9798 1.2399
## 116 22.76 22.10 21.06 18.65 1.4486 1.8331
## 117 18.03 17.81 16.97 16.23 0.9676 1.2245
## 118 14.78 13.67 13.11 11.81 0.9446 1.1953
## 119 22.87 22.36 21.54 19.40 1.3589 1.7196
## 120 22.98 21.68 20.73 19.60 1.3327 1.6864
## 121 13.45 13.01 12.20 11.40 0.9004 1.1394
## 122 12.32 12.26 11.83 11.59 0.8332 1.0543
## 123 16.83 16.31 15.95 14.42 0.9465 1.1977
## 124 8.33 8.71 8.41 8.20 0.4111 0.5203
## 125 21.14 20.72 19.18 18.82 1.1329 1.4336
## 126 14.18 15.06 14.32 13.54 1.0964 1.3874
## 127 14.26 14.05 13.25 12.48 1.1719 1.4830
## 128 16.27 16.16 15.16 14.86 1.3199 1.6702
## 129 16.91 16.98 16.35 15.76 1.3487 1.7067
## 130 13.30 13.28 12.90 12.62 1.0810 1.3679
## 131 23.20 22.92 21.55 20.85 1.8053 2.2845
## 132 14.61 14.58 14.06 13.52 1.2046 1.5243
## 133 10.25 10.20 10.09 9.70 0.6916 0.8752
## 134 17.61 17.31 16.48 15.97 1.3115 1.6597
## 135 11.80 11.73 11.30 10.50 0.7973 1.0089
## 136 8.20 8.00 7.66 7.55 0.5539 0.7010
## 137 8.23 8.40 8.11 8.10 0.4886 0.6183
## 138 15.81 15.91 15.61 14.98 0.9837 1.2447
## 139 10.33 10.15 9.94 9.04 0.9337 1.1815
## 140 10.29 10.15 9.89 9.14 0.8818 1.1159
## 141 5.63 5.52 5.10 5.47 0.5002 0.6329
## 142 8.38 7.85 7.77 7.56 0.6487 0.8209
## 143 3.08 2.74 2.98 3.05 0.3362 0.4255
## 144 5.67 5.64 6.07 5.81 0.5168 0.6540
## 145 3.74 3.62 3.92 3.70 0.3958 0.5008
## 146 7.33 6.99 6.81 7.06 0.6635 0.8396
## 147 4.97 5.02 4.80 4.95 0.3855 0.4879
## 148 6.60 6.77 7.41 6.90 0.4617 0.5843
## 149 6.07 6.43 6.01 6.61 0.4694 0.5940
## 150 4.34 4.33 4.64 4.68 0.3093 0.3914
## 151 14.95 14.36 13.84 13.55 1.0125 1.2812
## 152 6.58 6.73 6.87 6.93 0.3074 0.3890
## 153 5.08 4.68 4.81 5.11 0.4649 0.5883
## 154 9.56 9.34 9.29 9.24 0.8069 1.0211
## 155 11.40 12.58 12.98 11.98 0.8332 1.0543
## 156 3.41 3.27 3.14 2.83 0.2440 0.3088
## 157 3.24 3.19 3.31 3.14 0.2184 0.2763
## 158 4.16 3.91 3.78 3.59 0.2542 0.3217
## 159 3.64 3.38 3.45 3.39 0.2440 0.3088
## 160 5.91 5.57 5.59 5.35 0.3599 0.4554
## 161 8.96 8.83 8.57 7.14 0.6385 0.8080
## 162 8.96 8.13 8.04 6.76 0.6820 0.8631
## 163 12.21 11.62 11.41 9.81 0.9170 1.1605
## 164 8.00 7.61 7.36 6.65 0.5949 0.7528
## 165 12.81 11.64 11.27 9.27 0.8927 1.1297
## 166 11.99 11.24 10.84 9.85 0.8184 1.0357
## 167 8.98 8.42 8.20 7.22 0.6622 0.8379
## 168 13.97 13.59 13.27 12.22 0.9401 1.1896
## 169 14.77 13.49 12.97 10.70 1.0323 1.3063
## 170 14.19 12.85 12.60 10.79 0.9933 1.2569
## 171 11.36 10.57 10.53 9.76 0.8287 1.0486
## 172 14.98 13.95 13.67 11.89 1.0618 1.3436
## 173 12.27 11.05 10.77 8.67 0.8671 1.0973
## 174 9.14 8.98 9.06 7.99 0.6769 0.8566
## 175 10.37 10.07 10.25 8.06 0.7819 0.9895
## 176 5.27 4.92 4.73 4.37 0.3913 0.4951
## 177 12.67 11.71 11.49 10.06 0.9401 1.1896
## 178 10.76 10.23 10.00 8.12 0.8229 1.0413
## 179 7.60 7.29 7.11 5.93 0.6065 0.7674
## 180 8.79 8.59 8.48 7.12 0.5917 0.7488
## 181 4.61 4.32 4.17 3.57 0.3170 0.4011
## 182 10.36 9.73 9.66 8.88 0.7685 0.9725
## 183 5.46 5.06 4.79 4.11 0.4035 0.5105
## 184 2.40 2.34 2.34 2.14 0.1819 0.2301
## 185 5.84 5.92 5.76 4.94 0.4739 0.5997
## 186 16.28 15.60 14.80 12.71 1.3263 1.6783
## 187 7.41 7.01 7.06 5.70 0.5424 0.6864
## 188 14.39 14.12 13.94 11.25 1.1598 1.4676
## 189 17.52 17.23 17.05 13.50 1.2936 1.6370
## 190 19.70 18.98 18.80 15.62 1.5741 1.9919
## 191 18.37 17.46 17.21 15.46 1.2276 1.5535
## 192 20.44 19.86 19.60 17.47 1.4537 1.8396
## 193 14.27 13.91 13.81 11.67 1.0637 1.3460
## 194 21.45 20.53 20.32 17.58 1.4825 1.8760
## 195 13.07 12.67 12.42 11.23 0.9055 1.1459
## 196 12.45 12.09 11.96 10.04 0.8786 1.1118
## 197 14.89 14.46 14.15 12.96 1.1188 1.4157
## 198 9.26 9.07 8.75 7.41 0.7006 0.8866
## 199 12.98 13.12 12.90 10.75 1.0035 1.2699
## 200 12.46 12.49 12.28 10.01 0.8953 1.1329
## 201 14.86 14.38 14.02 13.12 1.1201 1.4174
## 202 13.68 13.57 13.27 12.31 1.1438 1.4473
## 203 13.52 13.33 13.04 11.90 1.0419 1.3185
## 204 19.28 18.54 18.35 15.41 1.4985 1.8963
## 205 11.95 11.65 11.38 9.90 0.9273 1.1734
## 206 7.73 7.65 7.59 6.98 0.5770 0.7302
## 207 8.50 8.35 8.12 7.00 0.6519 0.8250
## 208 14.44 14.10 13.41 12.54 1.2014 1.5203
## 209 8.15 7.99 7.78 7.29 0.6724 0.8509
## 210 11.76 11.60 11.46 9.87 0.8620 1.0908
## 211 11.62 11.37 11.10 9.84 0.9267 1.1726
## 212 11.27 11.04 10.80 8.69 0.9395 1.1888
## 213 12.84 12.90 12.61 10.06 1.0432 1.3201
## 214 18.30 17.58 17.37 16.04 1.2782 1.6175
## 215 10.09 10.10 9.90 7.94 0.8396 1.0624
## 216 19.79 19.47 19.14 17.17 1.4736 1.8647
## 217 9.05 8.79 8.75 7.87 0.6731 0.8517
## 218 10.89 10.88 10.65 9.08 0.8940 1.1313
## 219 5.80 5.24 5.07 4.84 0.5302 0.6710
## 220 4.97 4.85 4.62 4.14 0.3279 0.4149
## 221 8.09 7.92 7.47 6.75 0.5994 0.7585
## 222 8.26 8.20 8.11 7.81 0.6801 0.8606
## 223 21.40 20.30 20.03 18.30 1.4825 1.8760
## 224 16.33 14.55 14.07 13.43 1.0304 1.3039
## 225 21.73 19.34 18.65 17.12 1.4121 1.7869
## 226 9.46 8.21 8.13 7.65 0.6852 0.8671
## 227 8.75 7.70 7.64 6.98 0.6244 0.7901
## 228 16.68 15.49 15.42 14.19 1.2488 1.5802
## 229 11.91 11.75 11.39 10.36 0.8466 1.0713
## 230 13.39 13.24 12.96 12.02 1.0246 1.2966
## 231 8.57 8.23 8.04 7.27 0.6814 0.8622
## 232 9.97 9.88 9.80 9.72 0.7768 0.9830
## 233 12.91 12.72 12.25 11.31 0.9939 1.2577
## 234 11.53 11.49 11.04 10.37 0.8031 1.0162
## 235 11.52 11.22 10.87 9.98 0.8953 1.1329
## 236 11.22 10.97 11.00 9.98 0.8498 1.0754
## 237 9.17 8.79 8.64 7.80 0.7204 0.9117
## 238 14.96 15.00 14.54 14.39 1.1457 1.4498
## 239 13.63 13.34 13.05 11.82 1.0394 1.3153
## 240 20.82 20.98 20.52 18.71 1.6151 2.0438
## 241 10.72 10.57 10.34 9.45 0.8440 1.0681
## 242 6.44 6.39 6.23 5.69 0.4771 0.6037
## 243 10.57 10.61 10.19 10.08 0.7832 0.9911
## 244 10.79 10.70 10.48 9.56 0.8863 1.1216
## 245 12.69 12.25 11.98 12.11 0.9548 1.2083
## 246 12.54 12.69 12.28 11.42 0.9894 1.2520
## 247 11.35 11.03 10.48 10.31 0.8287 1.0486
## 248 15.61 15.27 14.91 14.83 1.1694 1.4798
## 249 15.71 14.60 14.34 13.16 1.2027 1.5219
## 250 17.08 17.14 16.87 15.31 1.2930 1.6362
## 251 15.38 14.89 14.42 13.80 1.1975 1.5154
## 252 13.63 13.19 12.80 11.89 1.0515 1.3306
## 253 22.57 21.41 21.32 19.59 1.8008 2.2788
## 254 25.69 24.11 23.56 21.21 2.0794 2.6313
## 255 17.41 16.70 16.00 14.47 1.4390 1.8209
## 256 20.20 20.09 19.62 20.16 1.5760 1.9944
## 257 8.51 8.40 8.49 7.68 0.5962 0.7545
## 258 7.29 7.18 8.03 7.44 0.4886 0.6183
## 259 4.60 4.33 4.17 4.10 0.3778 0.4781
## 260 8.17 7.97 7.84 7.20 1.2187 1.5422
## 261 7.47 7.62 7.53 6.77 0.5764 0.7293
## 262 6.16 5.73 5.73 5.50 0.4745 0.6005
## 263 4.89 5.16 4.94 4.49 0.3913 0.4951
## 264 5.82 5.63 5.39 4.88 0.4528 0.5729
## 265 4.71 4.48 4.31 3.89 0.3253 0.4117
## 266 10.43 9.67 9.74 9.61 0.7134 0.9028
## 267 9.97 8.71 8.64 8.41 0.6647 0.8412
## 268 5.71 5.29 5.39 5.18 0.4598 0.5819
## 269 5.09 4.58 4.63 4.30 0.4060 0.5138
## 270 5.04 4.94 4.95 4.76 0.4406 0.5575
## 271 4.10 3.57 3.52 3.25 0.2856 0.3614
## 272 6.28 5.58 5.57 5.36 0.4496 0.5689
## 273 1.69 1.67 1.76 1.68 0.1069 0.1353
## 274 5.84 5.33 5.38 5.20 0.5194 0.6572
## 275 5.52 5.00 4.92 4.46 0.4457 0.5640
## 276 2.33 2.06 2.06 1.98 0.2068 0.2618
## 277 4.61 4.44 4.46 4.19 0.4278 0.5413
## 278 6.91 6.35 6.29 5.86 0.4854 0.6143
## 279 5.73 5.22 5.23 4.89 0.4105 0.5195
## 280 7.44 6.61 6.55 6.28 0.5091 0.6443
## 281 6.74 5.79 5.74 5.36 0.4707 0.5956
## 282 2.39 2.15 2.27 2.24 0.1415 0.1791
## 283 17.38 16.73 16.46 15.20 1.3826 1.7496
## 284 16.26 15.80 15.31 13.87 1.2757 1.6143
## 285 19.14 18.46 18.28 16.55 1.5254 1.9303
## 286 16.73 16.12 15.31 14.08 1.3922 1.7618
## 287 15.11 14.23 13.43 12.40 1.2738 1.6119
## 288 15.78 15.31 15.10 14.84 1.2430 1.5730
## 289 16.97 16.50 15.96 14.17 1.3967 1.7674
## 290 34.13 33.21 32.06 28.83 2.7614 3.4944
## 291 10.45 9.80 9.55 8.96 0.9247 1.1702
## 292 9.85 9.51 9.27 8.79 0.8203 1.0381
## 293 30.56 29.34 29.28 28.51 2.0307 2.5697
## 294 31.74 31.43 31.03 30.13 2.0755 2.6265
## 295 23.37 23.43 22.91 23.10 1.3307 1.6840
## 296 31.12 29.89 29.44 28.06 1.8379 2.3258
## 297 25.20 24.07 23.52 22.31 1.4550 1.8412
## 298 16.81 15.82 15.95 15.70 0.9913 1.2545
## 299 22.92 22.35 21.67 21.63 1.3551 1.7148
## 300 27.13 26.26 26.48 26.45 1.7124 2.1670
## 301 9.66 10.31 10.75 11.05 0.6154 0.7788
## 302 14.28 14.33 14.20 13.82 0.8569 1.0843
## 303 23.49 23.89 23.95 24.20 1.3858 1.7537
## 304 12.81 12.69 12.77 12.94 0.7717 0.9765
## 305 23.18 22.50 21.91 20.83 1.4665 1.8558
## 306 30.49 29.60 28.81 28.08 2.0999 2.6572
## 307 20.12 19.35 18.86 18.14 1.3058 1.6524
## 308 36.22 36.55 36.01 34.85 2.1786 2.7569
## 309 30.01 30.63 30.13 28.88 1.9129 2.4206
## 310 14.38 13.61 13.48 12.98 0.8133 1.0292
## 311 28.64 27.71 26.80 26.50 1.6606 2.1013
## 312 33.17 32.44 31.07 30.83 2.6340 3.3331
## 313 17.28 16.66 16.52 16.34 1.3775 1.7431
## 314 10.21 9.97 9.81 9.61 0.6763 0.8558
## 315 9.42 8.54 8.59 8.55 0.6455 0.8169
## 316 6.94 7.46 7.51 7.17 0.5002 0.6329
## 317 13.51 12.32 12.23 11.77 0.8998 1.1386
## 318 5.52 5.75 5.94 5.61 0.4105 0.5195
## 319 4.57 4.51 4.52 4.67 0.3215 0.4068
## 320 11.72 10.99 11.02 10.93 0.8754 1.1078
## 321 9.33 10.07 10.20 10.35 0.6250 0.7909
## 322 9.66 9.82 9.45 9.60 0.7294 0.9230
## 323 6.50 6.14 6.46 6.17 0.4335 0.5486
## 324 12.57 12.63 12.54 12.83 0.8812 1.1151
## 325 9.84 10.19 9.89 10.08 0.7480 0.9465
## 326 5.22 5.04 5.26 5.07 0.4572 0.5786
## 327 5.22 5.55 5.31 5.00 0.4239 0.5365
## 328 5.76 5.33 5.42 5.12 0.3919 0.4960
## 329 5.07 4.96 4.52 4.27 0.4464 0.5648
## 330 6.42 6.32 6.24 6.21 0.5354 0.6775
## 331 6.03 5.70 5.32 5.20 0.4553 0.5762
## 332 5.07 4.58 4.44 4.55 0.5482 0.6937
## 333 5.93 5.38 5.21 5.00 0.4598 0.5819
## 334 4.32 3.73 3.36 3.19 0.4246 0.5373
## 335 3.95 3.80 3.52 3.15 0.3721 0.4708
## 336 8.50 8.08 7.46 7.43 0.6391 0.8088
## 337 6.53 6.23 5.78 5.22 0.4841 0.6126
## 338 5.65 5.49 5.19 4.51 0.3958 0.5008
## 339 6.17 5.85 5.83 5.10 0.5162 0.6532
## 340 8.41 7.64 7.17 6.56 0.6724 0.8509
## 341 6.57 6.32 5.88 6.28 0.4515 0.5713
## 342 3.91 3.75 3.62 3.47 0.3401 0.4303
## 343 4.58 4.65 4.60 4.40 0.3279 0.4149
## 344 4.62 4.56 4.38 4.52 0.3490 0.4417
## 345 3.26 3.10 2.96 2.70 0.2139 0.2707
## 346 5.37 5.22 5.13 4.56 0.3663 0.4635
## 347 3.88 3.70 3.77 3.70 0.3567 0.4514
## 348 6.45 6.29 5.80 5.21 0.4905 0.6208
## 349 5.81 6.18 6.09 6.01 0.4041 0.5114
## 350 7.07 6.76 6.65 6.38 0.4969 0.6289
## 351 6.59 6.35 6.09 5.95 0.4182 0.5292
## 352 5.55 5.27 4.99 4.88 0.4150 0.5251
## 353 5.87 5.67 5.68 5.59 0.4957 0.6272
## 354 4.44 4.22 4.19 4.18 0.3228 0.4084
## 355 4.90 4.62 4.68 4.19 0.3830 0.4846
## 356 8.76 8.68 9.28 9.03 0.6071 0.7682
## 357 8.33 8.65 8.72 9.15 0.6340 0.8023
## 358 7.99 7.63 7.57 7.41 0.5559 0.7034
## 359 9.31 9.16 9.29 9.22 0.7288 0.9222
## 360 5.33 5.37 5.41 5.04 0.4227 0.5349
## 361 7.92 7.49 7.63 7.40 0.6699 0.8477
## 362 10.50 10.65 11.29 11.62 0.5578 0.7058
## 363 2.91 2.81 2.82 2.64 0.2606 0.3298
## 364 4.82 4.72 4.77 4.59 0.3336 0.4222
## 365 5.06 5.18 5.16 4.67 0.4271 0.5405
## 366 7.26 7.15 8.06 7.68 0.9792 1.2391
## 367 8.50 8.99 9.93 9.44 0.9331 1.1807
## 368 6.35 6.11 6.63 5.08 0.8895 1.1256
## 369 5.61 5.25 6.22 6.71 0.7973 1.0089
## 370 5.11 5.17 6.32 6.15 0.6551 0.8290
## 371 8.63 8.34 8.02 7.67 0.6212 0.7861
## 372 8.80 8.36 7.90 7.30 0.5757 0.7285
## 373 12.27 12.28 11.80 11.82 0.8460 1.0705
## 374 10.09 10.29 9.77 9.50 0.7281 0.9214
## 375 10.22 9.92 9.78 9.34 0.6878 0.8704
## 376 8.12 7.90 7.46 6.99 0.5367 0.6791
## 377 9.72 9.38 8.89 8.64 0.6551 0.8290
## 378 10.93 10.58 10.33 9.87 0.7550 0.9554
## 379 15.88 14.71 14.08 13.29 1.1297 1.4295
## 380 15.17 14.85 14.16 13.60 1.2046 1.5243
## 381 6.90 6.77 6.20 6.03 0.5002 0.6329
## 382 5.63 5.24 5.46 5.38 0.3938 0.4984
## 383 6.87 6.57 6.62 6.67 0.6097 0.7715
## 384 6.78 6.56 6.47 5.95 0.4733 0.5989
## 385 5.85 6.01 5.90 5.96 0.4848 0.6135
## 386 16.08 16.18 15.92 15.65 1.2469 1.5778
## 387 9.84 9.47 9.20 9.12 0.7723 0.9773
## 388 15.80 15.13 14.55 14.34 1.2981 1.6426
## 389 18.16 17.71 17.16 16.71 1.3717 1.7358
## 390 18.11 18.59 18.17 18.03 1.2437 1.5738
## 391 13.64 13.47 13.30 13.66 1.0349 1.3096
## 392 16.36 16.68 16.65 16.08 1.1956 1.5130
## 393 18.05 17.80 17.55 17.41 1.2878 1.6297
## 394 18.79 18.56 18.15 18.27 1.5408 1.9498
## 395 12.75 12.76 12.66 12.60 0.9664 1.2229
## 396 17.68 16.60 16.17 16.32 1.3179 1.6678
## 397 16.91 16.07 15.73 15.53 1.1431 1.4465
## 398 7.42 7.06 6.74 6.58 0.6391 0.8088
## 399 12.94 13.11 13.28 13.13 0.9593 1.2140
## 400 8.15 8.06 7.97 7.48 0.5776 0.7310
## 401 9.53 9.51 9.66 9.23 0.6558 0.8298
## 402 15.18 15.49 15.40 15.48 1.2225 1.5470
## 403 9.48 9.35 9.24 9.00 0.7147 0.9044
## 404 8.27 8.40 8.42 7.83 0.6077 0.7691
## 405 9.26 9.41 9.24 9.28 0.6839 0.8655
## 406 11.85 11.41 11.14 10.31 0.9363 1.1848
## 407 16.70 16.22 16.22 15.10 1.2334 1.5608
## 408 9.42 9.45 9.71 9.04 0.6839 0.8655
## 409 10.12 10.07 10.28 10.55 0.9017 1.1410
## 410 8.36 8.45 8.29 7.50 0.6667 0.8436
## 411 7.66 7.47 7.38 7.50 0.5738 0.7261
## 412 5.55 5.45 5.32 5.16 0.4476 0.5665
## 413 8.34 8.48 8.46 8.81 0.5770 0.7302
## 414 13.82 13.41 13.16 12.49 1.0784 1.3647
## 415 13.89 14.35 14.01 13.36 0.9881 1.2504
## 416 12.46 12.36 12.62 12.75 0.9356 1.1840
## 417 13.87 14.36 14.33 13.69 1.0400 1.3161
## 418 7.18 7.52 7.66 7.23 0.5879 0.7439
## 419 15.19 14.57 14.41 13.37 1.2219 1.5462
## 420 4.38 4.56 4.59 4.41 0.3753 0.4749
## 421 6.08 5.73 5.70 5.59 0.4182 0.5292
## 422 8.58 8.74 8.78 7.94 0.7224 0.9141
## 423 13.75 13.22 13.46 13.67 1.1495 1.4546
## 424 15.45 15.22 14.85 13.19 1.1111 1.4060
## 425 16.09 16.09 15.65 13.48 1.1175 1.4141
## 426 14.68 15.05 13.78 12.51 1.2104 1.5316
## 427 11.58 11.36 11.14 10.95 0.9049 1.1451
## 428 12.55 13.06 12.36 11.05 1.0054 1.2723
## 429 16.88 16.46 16.19 14.85 1.1841 1.4984
## 430 16.53 17.11 16.24 14.30 1.2834 1.6240
## 431 15.86 15.78 15.58 14.93 1.2027 1.5219
## 432 9.97 9.75 13.93 14.22 0.8767 1.1094
## 433 15.57 15.71 15.64 13.82 1.2206 1.5446
## 434 16.73 17.72 18.10 17.48 1.3282 1.6807
## 435 15.39 15.77 16.24 14.17 1.0022 1.2682
## 436 20.69 13.69 18.35 14.88 1.4819 1.8752
## 437 18.56 13.74 15.99 14.82 1.3039 1.6499
## 438 5.59 5.51 5.01 4.69 0.5136 0.6499
## 439 9.24 8.81 8.39 7.57 0.7723 0.9773
## 440 21.67 21.11 21.85 20.33 1.2693 1.6062
## 441 21.80 21.03 20.55 19.84 1.2084 1.5292
## 442 22.43 21.17 21.27 19.40 1.1995 1.5178
## 443 18.49 17.97 17.81 17.40 1.1297 1.4295
## 444 18.93 18.51 19.23 18.54 1.2539 1.5867
## 445 6.05 6.05 5.70 5.57 0.3516 0.4449
## 446 15.57 14.89 13.94 13.79 1.1790 1.4919
## 447 18.22 17.06 16.05 15.97 1.3602 1.7213
## 448 14.71 13.90 13.51 13.38 1.0400 1.3161
## 449 6.70 6.48 6.88 7.18 0.5226 0.6613
## 450 4.99 4.82 4.84 4.53 0.3970 0.5024
## 451 6.86 6.83 6.95 7.14 0.5392 0.6823
## 452 29.17 28.31 27.47 28.08 2.1729 2.7496
## 453 25.23 24.81 23.87 23.27 1.9660 2.4879
## 454 22.10 21.68 21.20 20.11 1.8194 2.3023
## 455 18.47 18.02 17.40 17.03 1.5895 2.0114
## 456 28.64 28.71 27.13 27.12 2.2388 2.8331
## 457 26.35 26.50 25.49 25.62 1.9263 2.4376
## 458 25.37 24.53 23.59 23.62 2.0134 2.5478
## 459 31.58 31.01 30.18 30.20 2.5116 3.1783
## 460 17.58 16.86 16.83 16.31 1.3973 1.7683
## 461 4.38 4.64 4.46 4.72 0.4912 0.6216
## 462 24.90 24.74 24.00 23.42 2.0499 2.5940
## 463 9.69 8.77 8.74 8.74 0.8517 1.0778
## 464 15.23 14.03 14.15 13.94 1.5728 1.9903
## 465 8.85 8.63 8.59 8.89 0.5751 0.7277
## 466 4.61 4.11 4.10 4.80 0.6090 0.7707
## 467 4.99 4.19 4.22 4.51 0.5008 0.6337
## 468 15.33 15.48 15.25 15.02 1.2360 1.5640
## 469 8.39 7.08 7.07 7.16 0.6782 0.8582
## 470 7.04 7.29 7.17 7.35 0.5866 0.7423
## 471 2.99 2.67 2.73 3.00 0.2901 0.3671
## 472 5.38 5.07 5.45 5.95 0.4534 0.5738
## 473 27.51 26.66 25.96 24.31 2.1293 2.6945
## 474 17.79 17.44 17.22 16.65 1.3378 1.6929
## 475 37.44 36.37 36.37 33.32 2.8338 3.5859
## 476 36.66 34.72 34.32 31.30 3.0438 3.8518
## 477 25.28 24.93 24.32 22.21 2.1774 2.7553
## 478 20.38 19.92 19.66 19.14 1.4742 1.8655
## 479 33.35 33.25 32.86 30.19 2.1409 2.7091
## 480 20.94 20.50 20.00 17.80 1.5101 1.9109
## 481 38.11 36.67 35.99 34.59 2.8632 3.6232
## 482 35.31 34.65 34.87 32.89 2.5699 3.2521
## 483 34.33 34.15 34.02 30.87 2.2113 2.7983
## 484 38.53 39.46 39.23 35.72 2.6999 3.4166
## 485 17.56 17.85 17.78 15.85 0.8991 1.1378
## 486 11.10 11.08 10.81 10.54 0.9311 1.1783
## 487 39.48 39.66 38.62 38.66 2.6794 3.3906
## 488 14.69 13.49 13.01 13.44 1.1937 1.5106
## 489 24.37 26.03 25.38 25.17 2.1569 2.7294
## 490 27.70 27.54 26.82 27.17 2.1479 2.7180
## 491 27.23 26.99 25.44 25.72 2.1524 2.7237
## 492 37.43 39.13 37.40 37.35 2.7838 3.5227
## 493 37.45 37.31 36.01 36.27 2.8049 3.5495
## 494 16.20 14.72 14.89 14.55 1.4454 1.8290
## 495 19.50 20.82 19.90 20.35 1.6516 2.0900
## 496 26.96 26.64 25.75 25.64 2.1204 2.6832
## 497 28.48 27.79 27.16 27.41 2.2670 2.8688
## 498 41.26 40.62 39.33 39.25 2.9593 3.7448
## 499 31.55 31.52 30.60 30.75 2.5667 3.2480
## 500 34.00 33.63 32.73 33.14 2.6365 3.3363
## 501 13.85 13.74 13.75 14.51 1.3506 1.7091
## 502 15.83 17.15 16.69 16.90 1.5446 1.9546
## 503 31.41 31.25 30.82 30.53 2.5539 3.2318
## 504 39.25 37.99 37.40 39.22 2.9298 3.7075
## 505 29.71 29.52 29.88 30.10 2.5603 3.2399
## 506 35.89 38.47 37.29 38.13 2.7236 3.4466
## 507 41.97 41.68 39.60 40.06 2.9811 3.7723
## 508 35.54 38.36 36.38 37.02 2.7633 3.4968
## 509 35.88 35.80 34.97 35.45 2.8261 3.5762
## 510 38.74 38.58 37.46 38.15 2.8594 3.6184
## 511 29.10 31.21 30.36 30.48 2.1748 2.7521
## 512 41.34 43.73 42.23 42.71 3.0624 3.8753
## 513 45.74 45.11 43.63 43.49 3.1751 4.0179
## 514 12.22 12.06 11.46 11.37 1.1085 1.4028
skim(dat)Data summary
|
Name |
dat |
|
Number of rows |
514 |
|
Number of columns |
13 |
|
_______________________ |
|
|
Column type frequency: |
|
|
character |
1 |
|
numeric |
12 |
|
________________________ |
|
|
Group variables |
None |
Variable type: character
|
skim_variable |
n_missing |
complete_rate |
min |
max |
empty |
n_unique |
whitespace |
|---|---|---|---|---|---|---|---|
|
District |
0 |
1 |
4 |
26 |
0 |
514 |
0 |
Variable type: numeric
|
skim_variable |
n_missing |
complete_rate |
mean |
sd |
p0 |
p25 |
p50 |
p75 |
p100 |
hist |
|---|---|---|---|---|---|---|---|---|---|---|
|
Code |
0 |
1 |
4558.30 |
2678.26 |
911.00 |
1803.25 |
3550.00 |
7173.75 |
9471.00 |
▇▆▂▇▃ |
|
pov2010 |
0 |
1 |
15.62 |
9.42 |
1.67 |
9.01 |
13.34 |
19.56 |
49.58 |
▇▇▂▁▁ |
|
pov2011 |
0 |
1 |
14.64 |
8.92 |
1.50 |
8.14 |
12.44 |
18.91 |
47.44 |
▇▇▂▁▁ |
|
pov2012 |
0 |
1 |
13.92 |
8.55 |
1.33 |
7.79 |
11.77 |
17.78 |
45.92 |
▇▇▂▁▁ |
|
pov2013 |
0 |
1 |
13.83 |
8.59 |
1.75 |
7.76 |
11.74 |
17.41 |
47.52 |
▇▆▂▁▁ |
|
pov2014 |
0 |
1 |
13.12 |
7.93 |
1.68 |
7.38 |
11.18 |
16.60 |
44.49 |
▇▆▂▁▁ |
|
pov2015 |
0 |
1 |
13.51 |
8.25 |
1.69 |
7.59 |
11.58 |
16.87 |
45.74 |
▇▇▂▁▁ |
|
pov2016 |
0 |
1 |
13.18 |
8.20 |
1.67 |
7.40 |
11.25 |
16.29 |
45.11 |
▇▇▂▁▁ |
|
pov2017 |
0 |
1 |
12.97 |
7.98 |
1.76 |
7.35 |
11.14 |
16.04 |
43.63 |
▇▇▂▁▁ |
|
pov2018 |
0 |
1 |
12.34 |
7.84 |
1.68 |
6.99 |
10.21 |
15.08 |
43.49 |
▇▆▂▁▁ |
|
rel_pov2010 |
0 |
1 |
1.00 |
0.60 |
0.11 |
0.58 |
0.85 |
1.25 |
3.18 |
▇▇▂▁▁ |
|
rel_pov2018 |
0 |
1 |
1.27 |
0.76 |
0.14 |
0.73 |
1.08 |
1.59 |
4.02 |
▇▇▂▁▁ |
xy <- dat %>%
select(
pov2010,
pov2018,
) %>%
mutate(
x = pov2010,
y = pov2018
) %>%
select(
x,
y
)Select bandwidth based on function dpik from the package KernSmooth
h_rel_pov2010<- dpik(dat$rel_pov2010)
h_rel_pov2010## [1] 0.1026
h_rel_pov2018 <- dpik(dat$rel_pov2018)
h_rel_pov2018## [1] 0.1299
dis_rel_pov2010 <- bkde(dat$rel_pov2010, bandwidth = h_rel_pov2010)
dis_rel_pov2010 <- as.data.frame(dis_rel_pov2010)
ggplot(dis_rel_pov2010, aes(x, y)) + geom_line() +
theme_minimal() 
dis_rel_pov2018 <- bkde(dat$rel_pov2018, bandwidth = h_rel_pov2018)
dis_rel_pov2018 <- as.data.frame(dis_rel_pov2018)
ggplot(dis_rel_pov2018, aes(x, y)) + geom_line() +
theme_minimal() 
There are two methods for plot both densities,i.e. Kernsmooth and bandwith default of ggplot. I prefer using the gglot ( Method 2).
Using the bandwidth default of ggplot Manual labels are not yet
implemented in the ggplotly function
rel_pov2010 <- dat %>%
select(rel_pov2010) %>%
rename(rel_var = rel_pov2010) %>%
mutate(year = 2010)rel_pov2018 <- dat %>%
select(rel_pov2018) %>%
rename(rel_var = rel_pov2018) %>%
mutate(year = 2018)rel_pov2010pov2018 <- bind_rows(rel_pov2010, rel_pov2018)rel_pov2010pov2018 <- rel_pov2010pov2018 %>%
mutate(year = as.factor(year))
head(rel_pov2010pov2018)## rel_var year
## 1 1.512 2010
## 2 1.241 2010
## 3 1.020 2010
## 4 1.075 2010
## 5 1.180 2010
## 6 1.287 2010
dis_rel_pov2010pov2018 <- ggplot(rel_pov2010pov2018,aes(x=rel_var, color=year)) +
geom_density() +
theme_minimal()
dis_rel_pov2010pov2018
Using plotly
ggplotly(dis_rel_pov2010pov2018)## PhantomJS not found. You can install it with webshot::install_phantomjs(). If it is installed, please make sure the phantomjs executable can be found via the PATH variable.
rel_var: 0.1069
year: 2010","density: 1.124e-01
rel_var: 0.1146
year: 2010","density: 1.210e-01
rel_var: 0.1223
year: 2010","density: 1.302e-01
rel_var: 0.1299
year: 2010","density: 1.399e-01
rel_var: 0.1376
year: 2010","density: 1.501e-01
rel_var: 0.1452
year: 2010","density: 1.608e-01
rel_var: 0.1529
year: 2010","density: 1.720e-01
rel_var: 0.1605
year: 2010","density: 1.837e-01
rel_var: 0.1682
year: 2010","density: 1.960e-01
rel_var: 0.1758
year: 2010","density: 2.089e-01
rel_var: 0.1835
year: 2010","density: 2.222e-01
rel_var: 0.1911
year: 2010","density: 2.360e-01
rel_var: 0.1988
year: 2010","density: 2.503e-01
rel_var: 0.2064
year: 2010","density: 2.652e-01
rel_var: 0.2141
year: 2010","density: 2.805e-01
rel_var: 0.2217
year: 2010","density: 2.963e-01
rel_var: 0.2294
year: 2010","density: 3.125e-01
rel_var: 0.2371
year: 2010","density: 3.290e-01
rel_var: 0.2447
year: 2010","density: 3.461e-01
rel_var: 0.2524
year: 2010","density: 3.634e-01
rel_var: 0.2600
year: 2010","density: 3.810e-01
rel_var: 0.2677
year: 2010","density: 3.989e-01
rel_var: 0.2753
year: 2010","density: 4.170e-01
rel_var: 0.2830
year: 2010","density: 4.353e-01
rel_var: 0.2906
year: 2010","density: 4.537e-01
rel_var: 0.2983
year: 2010","density: 4.722e-01
rel_var: 0.3059
year: 2010","density: 4.907e-01
rel_var: 0.3136
year: 2010","density: 5.092e-01
rel_var: 0.3212
year: 2010","density: 5.277e-01
rel_var: 0.3289
year: 2010","density: 5.459e-01
rel_var: 0.3366
year: 2010","density: 5.640e-01
rel_var: 0.3442
year: 2010","density: 5.819e-01
rel_var: 0.3519
year: 2010","density: 5.995e-01
rel_var: 0.3595
year: 2010","density: 6.167e-01
rel_var: 0.3672
year: 2010","density: 6.336e-01
rel_var: 0.3748
year: 2010","density: 6.501e-01
rel_var: 0.3825
year: 2010","density: 6.661e-01
rel_var: 0.3901
year: 2010","density: 6.816e-01
rel_var: 0.3978
year: 2010","density: 6.966e-01
rel_var: 0.4054
year: 2010","density: 7.111e-01
rel_var: 0.4131
year: 2010","density: 7.251e-01
rel_var: 0.4207
year: 2010","density: 7.384e-01
rel_var: 0.4284
year: 2010","density: 7.511e-01
rel_var: 0.4360
year: 2010","density: 7.633e-01
rel_var: 0.4437
year: 2010","density: 7.749e-01
rel_var: 0.4514
year: 2010","density: 7.859e-01
rel_var: 0.4590
year: 2010","density: 7.962e-01
rel_var: 0.4667
year: 2010","density: 8.060e-01
rel_var: 0.4743
year: 2010","density: 8.152e-01
rel_var: 0.4820
year: 2010","density: 8.238e-01
rel_var: 0.4896
year: 2010","density: 8.320e-01
rel_var: 0.4973
year: 2010","density: 8.394e-01
rel_var: 0.5049
year: 2010","density: 8.464e-01
rel_var: 0.5126
year: 2010","density: 8.528e-01
rel_var: 0.5202
year: 2010","density: 8.588e-01
rel_var: 0.5279
year: 2010","density: 8.643e-01
rel_var: 0.5355
year: 2010","density: 8.693e-01
rel_var: 0.5432
year: 2010","density: 8.738e-01
rel_var: 0.5508
year: 2010","density: 8.778e-01
rel_var: 0.5585
year: 2010","density: 8.814e-01
rel_var: 0.5662
year: 2010","density: 8.846e-01
rel_var: 0.5738
year: 2010","density: 8.873e-01
rel_var: 0.5815
year: 2010","density: 8.895e-01
rel_var: 0.5891
year: 2010","density: 8.914e-01
rel_var: 0.5968
year: 2010","density: 8.928e-01
rel_var: 0.6044
year: 2010","density: 8.938e-01
rel_var: 0.6121
year: 2010","density: 8.943e-01
rel_var: 0.6197
year: 2010","density: 8.944e-01
rel_var: 0.6274
year: 2010","density: 8.942e-01
rel_var: 0.6350
year: 2010","density: 8.936e-01
rel_var: 0.6427
year: 2010","density: 8.924e-01
rel_var: 0.6503
year: 2010","density: 8.909e-01
rel_var: 0.6580
year: 2010","density: 8.891e-01
rel_var: 0.6657
year: 2010","density: 8.869e-01
rel_var: 0.6733
year: 2010","density: 8.843e-01
rel_var: 0.6810
year: 2010","density: 8.813e-01
rel_var: 0.6886
year: 2010","density: 8.780e-01
rel_var: 0.6963
year: 2010","density: 8.745e-01
rel_var: 0.7039
year: 2010","density: 8.706e-01
rel_var: 0.7116
year: 2010","density: 8.664e-01
rel_var: 0.7192
year: 2010","density: 8.620e-01
rel_var: 0.7269
year: 2010","density: 8.573e-01
rel_var: 0.7345
year: 2010","density: 8.525e-01
rel_var: 0.7422
year: 2010","density: 8.474e-01
rel_var: 0.7498
year: 2010","density: 8.422e-01
rel_var: 0.7575
year: 2010","density: 8.368e-01
rel_var: 0.7651
year: 2010","density: 8.313e-01
rel_var: 0.7728
year: 2010","density: 8.256e-01
rel_var: 0.7805
year: 2010","density: 8.199e-01
rel_var: 0.7881
year: 2010","density: 8.140e-01
rel_var: 0.7958
year: 2010","density: 8.081e-01
rel_var: 0.8034
year: 2010","density: 8.020e-01
rel_var: 0.8111
year: 2010","density: 7.960e-01
rel_var: 0.8187
year: 2010","density: 7.898e-01
rel_var: 0.8264
year: 2010","density: 7.836e-01
rel_var: 0.8340
year: 2010","density: 7.774e-01
rel_var: 0.8417
year: 2010","density: 7.711e-01
rel_var: 0.8493
year: 2010","density: 7.647e-01
rel_var: 0.8570
year: 2010","density: 7.583e-01
rel_var: 0.8646
year: 2010","density: 7.518e-01
rel_var: 0.8723
year: 2010","density: 7.453e-01
rel_var: 0.8799
year: 2010","density: 7.387e-01
rel_var: 0.8876
year: 2010","density: 7.320e-01
rel_var: 0.8953
year: 2010","density: 7.253e-01
rel_var: 0.9029
year: 2010","density: 7.186e-01
rel_var: 0.9106
year: 2010","density: 7.117e-01
rel_var: 0.9182
year: 2010","density: 7.049e-01
rel_var: 0.9259
year: 2010","density: 6.980e-01
rel_var: 0.9335
year: 2010","density: 6.911e-01
rel_var: 0.9412
year: 2010","density: 6.842e-01
rel_var: 0.9488
year: 2010","density: 6.773e-01
rel_var: 0.9565
year: 2010","density: 6.704e-01
rel_var: 0.9641
year: 2010","density: 6.635e-01
rel_var: 0.9718
year: 2010","density: 6.568e-01
rel_var: 0.9794
year: 2010","density: 6.501e-01
rel_var: 0.9871
year: 2010","density: 6.435e-01
rel_var: 0.9948
year: 2010","density: 6.370e-01
rel_var: 1.0024
year: 2010","density: 6.307e-01
rel_var: 1.0101
year: 2010","density: 6.246e-01
rel_var: 1.0177
year: 2010","density: 6.186e-01
rel_var: 1.0254
year: 2010","density: 6.129e-01
rel_var: 1.0330
year: 2010","density: 6.074e-01
rel_var: 1.0407
year: 2010","density: 6.022e-01
rel_var: 1.0483
year: 2010","density: 5.972e-01
rel_var: 1.0560
year: 2010","density: 5.925e-01
rel_var: 1.0636
year: 2010","density: 5.881e-01
rel_var: 1.0713
year: 2010","density: 5.840e-01
rel_var: 1.0789
year: 2010","density: 5.801e-01
rel_var: 1.0866
year: 2010","density: 5.766e-01
rel_var: 1.0942
year: 2010","density: 5.733e-01
rel_var: 1.1019
year: 2010","density: 5.703e-01
rel_var: 1.1096
year: 2010","density: 5.675e-01
rel_var: 1.1172
year: 2010","density: 5.649e-01
rel_var: 1.1249
year: 2010","density: 5.626e-01
rel_var: 1.1325
year: 2010","density: 5.603e-01
rel_var: 1.1402
year: 2010","density: 5.583e-01
rel_var: 1.1478
year: 2010","density: 5.563e-01
rel_var: 1.1555
year: 2010","density: 5.544e-01
rel_var: 1.1631
year: 2010","density: 5.526e-01
rel_var: 1.1708
year: 2010","density: 5.507e-01
rel_var: 1.1784
year: 2010","density: 5.488e-01
rel_var: 1.1861
year: 2010","density: 5.469e-01
rel_var: 1.1937
year: 2010","density: 5.448e-01
rel_var: 1.2014
year: 2010","density: 5.425e-01
rel_var: 1.2090
year: 2010","density: 5.401e-01
rel_var: 1.2167
year: 2010","density: 5.376e-01
rel_var: 1.2244
year: 2010","density: 5.347e-01
rel_var: 1.2320
year: 2010","density: 5.316e-01
rel_var: 1.2397
year: 2010","density: 5.282e-01
rel_var: 1.2473
year: 2010","density: 5.246e-01
rel_var: 1.2550
year: 2010","density: 5.206e-01
rel_var: 1.2626
year: 2010","density: 5.163e-01
rel_var: 1.2703
year: 2010","density: 5.116e-01
rel_var: 1.2779
year: 2010","density: 5.067e-01
rel_var: 1.2856
year: 2010","density: 5.015e-01
rel_var: 1.2932
year: 2010","density: 4.959e-01
rel_var: 1.3009
year: 2010","density: 4.900e-01
rel_var: 1.3085
year: 2010","density: 4.839e-01
rel_var: 1.3162
year: 2010","density: 4.775e-01
rel_var: 1.3239
year: 2010","density: 4.708e-01
rel_var: 1.3315
year: 2010","density: 4.639e-01
rel_var: 1.3392
year: 2010","density: 4.567e-01
rel_var: 1.3468
year: 2010","density: 4.494e-01
rel_var: 1.3545
year: 2010","density: 4.419e-01
rel_var: 1.3621
year: 2010","density: 4.342e-01
rel_var: 1.3698
year: 2010","density: 4.265e-01
rel_var: 1.3774
year: 2010","density: 4.186e-01
rel_var: 1.3851
year: 2010","density: 4.106e-01
rel_var: 1.3927
year: 2010","density: 4.026e-01
rel_var: 1.4004
year: 2010","density: 3.945e-01
rel_var: 1.4080
year: 2010","density: 3.863e-01
rel_var: 1.4157
year: 2010","density: 3.782e-01
rel_var: 1.4233
year: 2010","density: 3.701e-01
rel_var: 1.4310
year: 2010","density: 3.619e-01
rel_var: 1.4387
year: 2010","density: 3.538e-01
rel_var: 1.4463
year: 2010","density: 3.457e-01
rel_var: 1.4540
year: 2010","density: 3.376e-01
rel_var: 1.4616
year: 2010","density: 3.296e-01
rel_var: 1.4693
year: 2010","density: 3.216e-01
rel_var: 1.4769
year: 2010","density: 3.136e-01
rel_var: 1.4846
year: 2010","density: 3.057e-01
rel_var: 1.4922
year: 2010","density: 2.978e-01
rel_var: 1.4999
year: 2010","density: 2.900e-01
rel_var: 1.5075
year: 2010","density: 2.822e-01
rel_var: 1.5152
year: 2010","density: 2.745e-01
rel_var: 1.5228
year: 2010","density: 2.668e-01
rel_var: 1.5305
year: 2010","density: 2.592e-01
rel_var: 1.5381
year: 2010","density: 2.516e-01
rel_var: 1.5458
year: 2010","density: 2.440e-01
rel_var: 1.5535
year: 2010","density: 2.366e-01
rel_var: 1.5611
year: 2010","density: 2.292e-01
rel_var: 1.5688
year: 2010","density: 2.219e-01
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dat %>%
ggplot(aes(x = rel_pov2010, y = rel_pov2018)) +
geom_point(alpha=0.5) +
geom_abline(aes(intercept = 0, slope = 1)) +
geom_hline(yintercept = 1, linetype="dashed") +
geom_vline(xintercept = 1, linetype="dashed") +
theme_minimal() +
labs(subtitle = "Relative Pov2018",
x = "Relative Pov2010",
y = "") +
theme(text=element_text(family="Palatino")) 
Fit a non-linear function
dat %>%
ggplot(aes(x = rel_pov2010, y = rel_pov2018)) +
geom_point(alpha=0.5) +
geom_smooth() +
geom_abline(aes(intercept = 0, slope = 1)) +
geom_hline(yintercept = 1, linetype="dashed") +
geom_vline(xintercept = 1, linetype="dashed") +
theme_minimal() +
labs(subtitle = "Relative pov2018",
x = "Relative pov2010",
y = "") +
theme(text=element_text(family="Palatino")) ## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
Not that the nonlinear fit crosses the 45-degree line two times from above.
bivariate <- kbvpdf(dat$rel_pov2010, dat$rel_pov2018, h_rel_pov2010, h_rel_pov2018) plot(bivariate,
xlab="Relative Poverty 2010",
ylab="Relative Poverty 2018")
abline(a=0, b=1)
abline(h=1, v=1)
plot(bivariate,
TRUE,
xlab="Relative Poverty 2010",
ylab="Relative Poverty 2018")
dat %>%
ggplot(aes(x = rel_pov2010, y = rel_pov2018)) +
geom_point(color = "lightgray") +
geom_smooth() +
#geom_smooth(method=lm, se=FALSE) +
stat_density_2d() +
geom_abline(aes(intercept = 0, slope = 1)) +
geom_hline(yintercept = 1, linetype="dashed") +
geom_vline(xintercept = 1, linetype="dashed") +
theme_minimal() +
labs(subtitle = "Relative pov2018",
x = "Relative pov2010",
y = "") +
theme(text=element_text(family="Palatino")) ## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
dat %>%
ggplot(aes(x = rel_pov2010, y = rel_pov2018)) +
stat_density_2d(aes(fill = stat(nlevel)), geom = "polygon") +
scale_fill_viridis_c() +
geom_abline(aes(intercept = 0, slope = 1)) +
geom_hline(yintercept = 1, linetype="dashed") +
geom_vline(xintercept = 1, linetype="dashed") +
theme_minimal() +
labs(x = "Relative Poverty Rate 2010",
y = "Relative Poverty Rate 2018") +
theme(text=element_text(size=8, family="Palatino"))
There are two ways of analyzing the use of stochastic kernel package: 1. Contour Plots and 2. Surface Plots
pov2010pov2018 <- cbind(dat$rel_pov2010, dat$rel_pov2018)
pov2010pov2018_dis <- bkde2D(pov2010pov2018, bandwidth = c(h_rel_pov2010, h_rel_pov2018)) contour(pov2010pov2018_dis$x1,pov2010pov2018_dis$x2,pov2010pov2018_dis$fhat)
abline(a=0, b=1)
plot_ly(x=pov2010pov2018_dis$x1, y=pov2010pov2018_dis$x2, z=pov2010pov2018_dis$fhat) %>% add_surface()plot_ly(x=pov2010pov2018_dis$x1, y=pov2010pov2018_dis$x2, z=pov2010pov2018_dis$fhat, type = "contour", contours = list(showlabels = TRUE)) %>%
colorbar(title = "Density")pov2010pov2018_cde <- cde(dat$pov2010, dat$pov2018)Increase the number of intervals to 20
pov2010pov2018_cde2 <- cde(dat$pov2010, dat$pov2018, nxmargin = 20)plot(pov2010pov2018_cde)
plot(pov2010pov2018_cde2)
High density regions
plot(pov2010pov2018_cde, plot.fn="hdr")
abline(a=0, b=1)
abline(h=1, v=1)
-
Mendez C. (2020). Classical sigma and beta convergence analysis in R: Using the REAT 2.1 Package. R Studio/RPubs. Available at https://rpubs.com/quarcs-lab/classical-convergence-reat21
-
Mendez C. (2020). Univariate distribution dynamics in R: Using the ggridges package. R Studio/RPubs. Available at https://rpubs.com/quarcs-lab/univariate-distribution-dynamics
-
Mendez, C. (2019). Overall efficiency, pure technical efficiency, and scale efficiency across provinces in Indonesia 1990 and 2010. R Studio/RPubs. Available at https://rpubs.com/quarcs-lab/efficiency-clusters-indonesia-1990-2010
END