Problem Set 4
2022-11-09
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#loaded my libraries
library(ggplot2)
library(ggpubr)
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.2.1 ✔ stringr 1.4.1
## ✔ readr 2.1.3 ✔ forcats 0.5.2
## ✔ purrr 0.3.4
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()library(effectsize)
library(tidyr)
library(rstatix)##
## Attaching package: 'rstatix'
##
## The following objects are masked from 'package:effectsize':
##
## cohens_d, eta_squared
##
## The following object is masked from 'package:stats':
##
## filter#began by setting working directory, creating a chunk, and reading in data
read.csv("master_QuadMax10_n250_V6.csv")## SUBJECTS AGE WEIGHT GENDER SEX Memory.Concerns
## 1 A3LL4VC2KFYZOJ 22.31507 125.0409 F 0 N
## 2 A1Y4PK1XCHCF6Q 22.78000 132.6274 F 0 N
## 3 A1M8BYIP0KZJZX 23.79000 133.5414 F 0 N
## 4 A39BG936EGBKCP 23.93000 144.7043 F 0 N
## 5 A1TOVPZY91XVY0 24.89000 149.7535 F 0 N
## 6 A2W55J9T0JDP2O 24.92000 138.8153 F 0 N
## 7 A1L32YIF4HX5BQ 25.28000 135.9470 F 0 N
## 8 A1TEXCUTI4IUUN 25.64000 158.3422 F 0 N
## 9 A1SAMLI9AUPHEJ 25.82000 137.2770 F 0 N
## 10 A2GXLM74C7BDI8 26.18000 134.4189 F 0 N
## 11 ATMZDIR1YW84P 26.33000 116.1013 F 0 N
## 12 A4EOJGIAU41QC 26.36712 114.5699 F 0 N
## 13 A2CM01YNMNEXGG 28.26000 161.6779 F 0 N
## 14 A2Y87M8V0N1M6P 29.31000 129.5560 F 0 N
## 15 A5M975UINIFLU 30.15000 149.8954 F 0 N
## 16 A3NKNOE5HIXXL 31.88000 162.2445 F 0 N
## 17 A39KUEDR8ZS1CF 31.98000 120.4201 F 0 N
## 18 A39VZ93N96XB6O 32.08000 142.0674 F 0 N
## 19 A3BWB2PMOZY5MP 36.56000 103.9440 F 0 N
## 20 A1710X6OIQP62Q 36.69000 110.3703 F 0 N
## 21 A2OFN0A5CPLH57 37.28000 141.7182 F 0 N
## 22 A87D3K9YVKTQ7 37.93000 125.5159 F 0 N
## 23 A18RZQ35649XKD 38.67000 144.0885 F 0 N
## 24 A39MTR3ER9GLBF 40.29000 162.5506 F 0 N
## 25 A2QPMJ4GADLUW2 40.73000 116.7618 F 0 N
## 26 A1CE3DR200PXSS 40.73000 123.5979 F 0 N
## 27 A1VVR9MA1P9HWJ 42.39000 153.7426 F 0 N
## 28 A302KOFOYLD89A 43.03000 171.5917 F 0 N
## 29 A2BHZNAKEDRYCB 43.90000 165.3264 F 0 N
## 30 A3DUPRZSMU9W5R 45.15000 121.5464 F 0 N
## 31 A12H4QENEVBRSB 46.63000 143.3636 F 0 N
## 32 A314XJY8V1YL12 48.49000 167.7347 F 0 N
## 33 ALK9XZBTNDAUH 54.73000 116.6058 F 0 N
## 34 A26RO8GGTQAXGG 57.09000 112.4251 F 0 N
## 35 A249EWKM1EOARK 57.78000 145.7850 F 0 N
## 36 A3MELYYGRJ61SX 58.00000 154.9122 F 0 N
## 37 A2X823PACMMOKP 58.91000 138.3932 F 0 N
## 38 A10JXOU89D5RXR 59.27000 147.7400 F 0 N
## 39 A1H2Y2PDEQ7OWT 59.54000 130.9269 F 0 N
## 40 AKTQD9Y44G495 61.34000 117.6541 F 0 N
## 41 A39IEKRAOTJTD7 61.90000 167.7912 F 0 N
## 42 A169WH54HMYS5Z 62.13000 136.2982 F 0 N
## 43 A2VNSNAN1LZBAM 62.54000 108.8958 F 0 N
## 44 AEQ95NMC3VXQ5 64.91000 163.5804 F 0 N
## 45 A2H557RQ3T3LPX 66.39000 131.2387 F 0 N
## 46 A1AZLJ3R5FQ9B7 67.08000 117.9311 F 0 N
## 47 A9XX3BUUML3ST 69.12000 100.5277 F 0 N
## 48 A16L21AR8X012 69.52000 142.9921 F 0 N
## 49 AHZ5YRRIRTLJG 69.63000 153.2862 F 0 N
## 50 AHSXMZBNS9BPA 69.75000 114.9366 F 0 N
## 51 A13CXQGLSH6QY8 69.95000 156.7894 F 0 N
## 52 A1XDNR8GKQWCOG 70.06000 125.6937 F 0 N
## 53 A2APG8MSLJ6G2K 70.80000 102.4004 F 0 N
## 54 AR55GGUU5JWWS 71.39000 108.5927 F 0 N
## 55 A1BNGJBEWJS8WE 71.81000 125.8217 F 0 N
## 56 A3PT6YF2OZRSKX 72.94000 141.3431 F 0 N
## 57 A396U3HHP2ECZI 73.74000 114.5044 F 0 N
## 58 AV0LIAO8E356J 74.26000 181.6209 F 0 N
## 59 A139701FEHQMJ7 75.57000 157.2587 F 0 N
## 60 AKISVGHDC6WFN 77.23000 116.4682 F 0 N
## 61 A3RXXEVLEAM53M 77.32000 182.3085 F 0 N
## 62 A29ILQO8285XX 77.87000 123.8314 F 0 N
## 63 A2SO4O8XWUGS4A 20.15068 207.5756 M 1 N
## 64 AXFBMLZKWVX1R 21.06000 194.0095 M 1 N
## 65 A1YQ54ZCCS1G1C 21.24000 187.8671 M 1 N
## 66 A20R9K3NM82YRK 21.78000 161.2240 M 1 N
## 67 AB8BRFF4ZTZ40 22.41096 228.7073 M 1 N
## 68 AZCGF2D7QIO10 24.07000 184.6190 M 1 N
## 69 A1BKF0KULCF6Y6 24.28767 199.3592 M 1 N
## 70 A15CL9A9FVSJDW 25.29000 164.6345 M 1 N
## 71 A1WOCD9SAYI07V 25.68000 193.4300 M 1 N
## 72 AL7A2XPPQ09LU 26.78904 217.5614 M 1 N
## 73 A3CN7T0IYDE3NJ 28.34000 145.1761 M 1 N
## 74 A3V1VK1A3NYN17 28.64932 183.4385 M 1 N
## 75 ADP1QUGXHGJRS 29.92000 152.8205 M 1 N
## 76 A108TIBAENZAFI 30.00000 173.6343 M 1 N
## 77 A33ST4DW1A4PGK 31.55000 170.2962 M 1 N
## 78 A3HGZDLMCKGPSE 32.72000 152.7911 M 1 N
## 79 ACD400BAWY7QC 32.81000 206.4261 M 1 N
## 80 A3HKX5ZYAWDKIN 33.99000 181.1671 M 1 N
## 81 A2TXZVXQU5FQZ9 34.88000 185.0019 M 1 N
## 82 A7P3R1AIA4TVV 36.49000 148.6050 M 1 N
## 83 A2VA0NCPWJ8XZG 36.63000 201.2243 M 1 N
## 84 A1N8C5XMSNY0KE 37.50000 178.3002 M 1 N
## 85 A3UN1F1EOHKKE6 39.11000 218.4376 M 1 N
## 86 A7O82NXM2PI12 40.96000 186.3208 M 1 N
## 87 A1BNEJ2Q76JNF3 41.66000 203.1358 M 1 N
## 88 A1LENHSFWGC5EU 43.19000 170.3101 M 1 N
## 89 A1PJUYJ7W2LKKQ 44.41000 196.5410 M 1 N
## 90 A311QKIQ0I2071 44.78000 187.2914 M 1 N
## 91 A1H1TKK54YG94Q 45.15000 222.3976 M 1 N
## 92 A2A7R0WEEFC3OX 48.38000 204.1038 M 1 N
## 93 A8ZUM922CBH6S 49.11000 192.1962 M 1 N
## 94 A3GWRDHAURRNK6 49.94000 179.4091 M 1 N
## 95 A36WN1T2MQ6W38 49.99000 192.7656 M 1 N
## 96 A3EYRDEQ7CXUMN 51.45000 169.7403 M 1 N
## 97 ACGGIBC0P38HU 52.45000 192.8164 M 1 N
## 98 A1IL81UMEC9OJI 52.84000 185.7292 M 1 N
## 99 A1WNE8XK0EBAMP 53.96000 179.6809 M 1 N
## 100 A3SLXLALO5SQXY 56.56000 162.4951 M 1 N
## 101 AUDAL9HYHCY34 56.84000 221.4459 M 1 N
## 102 AX4QV62HBKJ34 57.28000 188.8899 M 1 N
## 103 AM0QVBV8L6QCJ 58.61000 214.2615 M 1 N
## 104 A121T4P5NKCHCS 58.90000 182.3828 M 1 N
## 105 A27T2G69VP68YP 59.53000 187.3951 M 1 N
## 106 AL90GN96DMQB8 59.69000 188.6259 M 1 N
## 107 A23HANYTQPADUC 60.09000 200.7797 M 1 N
## 108 A371H3PQPR2Z8J 60.41000 201.8627 M 1 N
## 109 A3KU7DD8Q1NQ7P 61.95000 171.8770 M 1 N
## 110 A2VN8Q8X7WWIM 63.65000 178.8168 M 1 N
## 111 A1LDO8EYGXOA9D 65.18000 202.1372 M 1 N
## 112 AL7UTA8J27TFK 65.37000 193.0816 M 1 N
## 113 A2NKE99I9M8EP3 65.90000 180.7565 M 1 N
## 114 A8E7IOAZRC2IC 67.64000 193.9838 M 1 N
## 115 A1KOHXO0BIQB8T 67.90000 211.7305 M 1 N
## 116 A32CJGO1ARXLE8 68.24000 201.0998 M 1 N
## 117 A38XRCVYVF4A31 69.53000 207.0867 M 1 N
## 118 A3PGG36FKY8QP 70.27000 184.7233 M 1 N
## 119 A2O2O2X7PGR8XW 71.35000 173.4886 M 1 N
## 120 A26ZENZ5G8AEGM 61.56000 110.9213 21 18 Y
## 121 A1BZLPYW3YGUWZ 19.31233 111.8317 F 0 Y
## 122 A21GA1OKQTL190 19.70685 153.6778 F 0 Y
## 123 A4YZ6VBF5H9CF 20.64384 139.0127 F 0 Y
## 124 AS30DBRRD24P4 21.32603 141.5792 F 0 Y
## 125 A34CPKFZXBX1PO 22.18000 131.3633 F 0 Y
## 126 A35ROC8J91VOW0 24.21000 123.0913 F 0 Y
## 127 A1BDJMFP24FBGL 24.87000 146.2294 F 0 Y
## 128 A1AIMKA54UBYIQ 25.33000 139.1248 F 0 Y
## 129 A2DU76P3SED4T6 25.49000 138.8541 F 0 Y
## 130 ANXIYA9KKTO2Y 25.70411 126.8347 F 0 Y
## 131 A7FA4ZUL4Y7Q9 26.03288 102.5160 F 0 Y
## 132 A304JFG8AJM7U6 26.90000 107.2810 F 0 Y
## 133 A1H5SUG5DZOZ8Z 27.18000 121.5753 F 0 Y
## 134 A145AXBDTCIW6Z 27.64000 120.3826 F 0 Y
## 135 A2L2U34U20ZNQS 28.17000 146.6368 F 0 Y
## 136 A3FHXMLW3J2K8L 28.33699 103.6168 F 0 Y
## 137 A32AAIUH6VJNLV 28.59000 138.8077 F 0 Y
## 138 A3CI73EFDLS3OF 30.13000 142.0104 F 0 Y
## 139 A34VLM2UC0JY11 32.17000 138.4285 F 0 Y
## 140 A3EVRS5DB4TE1A 32.35000 149.2741 F 0 Y
## 141 A36P1ZQ0GYF567 32.37000 156.8386 F 0 Y
## 142 A1720HSKGQ41VJ 32.66000 132.6163 F 0 Y
## 143 A8A9DUD87SMQ9 34.24000 158.1672 F 0 Y
## 144 A1INS1BWU3S0NQ 36.69000 144.7659 F 0 Y
## 145 A1QKIA8XRNEXIG 38.01000 139.5313 F 0 Y
## 146 A3GHLKX4ZUSJH0 38.54000 160.1351 F 0 Y
## 147 A1XH5P1RMV9GPQ 39.37000 110.0258 F 0 Y
## 148 A1TPGXT718D68E 41.01000 132.2832 F 0 Y
## 149 A237O646ZJ1SFW 42.04000 176.5509 F 0 Y
## 150 A2OVX9UW5WANQE 46.87000 129.5452 F 0 Y
## 151 A1FG2G9TZSDN 47.71000 139.6404 F 0 Y
## 152 A55CXM7QR7R0N 48.20000 150.4337 F 0 Y
## 153 A2DC6TG86OSCRK 49.14000 138.3334 F 0 Y
## 154 A2CTCKTL2LL5V 49.67000 134.8999 F 0 Y
## 155 A2ALYW6W16PUYQ 49.84000 137.9403 F 0 Y
## 156 A2EPBSY0VPI38S 50.75000 109.0970 F 0 Y
## 157 A377LTGWJKY2IW 52.05000 114.0876 F 0 Y
## 158 A2N9U74YIPDQ9F 52.74000 145.9739 F 0 Y
## 159 A49A0FF6ZXYDU 52.85000 115.3815 F 0 Y
## 160 A25FH7PXC446RG 53.78000 127.7433 F 0 Y
## 161 A2OX8TSRCU6NKD 54.22000 153.6462 F 0 Y
## 162 A1O57XVTTB1PNZ 55.48000 133.5155 F 0 Y
## 163 A3PRFA3M7OSCT5 56.96000 133.4514 F 0 Y
## 164 APDDA1Y59RHV9 57.12000 133.1101 F 0 Y
## 165 A3FBC5W56LKQXL 57.99000 137.1534 F 0 Y
## 166 AAW7FTFH4276B 59.02000 153.8531 F 0 Y
## 167 A2FV2TYREMZNGD 59.06000 117.3071 F 0 Y
## 168 A1BB4DMPN1GY00 59.54000 111.5728 F 0 Y
## 169 A1CZ2GB5LZ9O5H 59.86000 138.2302 F 0 Y
## 170 A30VLIFQPJZ17P 60.57000 115.5025 F 0 Y
## 171 A3ROYUO9LWA22S 61.62000 126.0015 F 0 Y
## 172 A8GD33ZJ1SAA5 62.15000 156.3625 F 0 Y
## 173 A2L73JKDFWI0KJ 62.20000 128.6147 F 0 Y
## 174 A3AA1L892OJ81M 63.85000 129.2727 F 0 Y
## 175 A3NG205QJ48IM4 64.48000 110.3638 F 0 Y
## 176 A2I3IM3RJO2OL0 65.19000 117.6670 F 0 Y
## 177 A24EAYGSHOXEGP 65.98000 139.3152 F 0 Y
## 178 A36PRTZFECB76C 68.77000 119.8243 F 0 Y
## 179 A10L7F2V8368DO 69.10000 109.2584 F 0 Y
## 180 AYXN53TNFG71P 69.58000 140.3371 F 0 Y
## 181 A221J0YB28SBLI 69.59000 135.8220 F 0 Y
## 182 A28VRECAUOO7U9 69.68000 138.3817 F 0 Y
## 183 A3RNYHTTJZ6JUP 69.77000 134.6991 F 0 Y
## 184 A36B9OFG2QJTM7 71.32000 153.4653 F 0 Y
## 185 A1BK15QBL5758M 71.42000 162.2990 F 0 Y
## 186 A1DY5XUPK5A7MZ 72.99000 137.1123 F 0 Y
## 187 A24NKUCAX1LURL 76.87000 128.8507 F 0 Y
## 188 A1US1UNHW59ESW 77.30000 151.0068 F 0 Y
## 189 A3LKPH6ISMWLJR 18.89041 172.6542 M 1 Y
## 190 A3FAF93BMDJLAL 22.47000 176.4568 M 1 Y
## 191 A3OHXCAWZXBFQA 23.02466 186.9939 M 1 Y
## 192 A2907V9QMK6SN4 23.03000 218.4236 M 1 Y
## 193 A1GYD62XNQT0O5 26.07671 171.0768 M 1 Y
## 194 A2H2NAJOO8UZMY 26.93699 188.0650 M 1 Y
## 195 A1LEKO0AKAJGD0 27.02000 178.1848 M 1 Y
## 196 A2IZAD6SRVCPRY 27.30000 151.9967 M 1 Y
## 197 A3P5P5LGJGB6HD 28.62466 147.6603 M 1 Y
## 198 ADKJBYY9Q3VNZ 28.79178 178.3484 M 1 Y
## 199 AGILQEFEPEK7N 30.45000 180.0357 M 1 Y
## 200 A318M33K2896OL 30.59000 200.3368 M 1 Y
## 201 A14NPY8VAHGDQP 31.58000 166.7386 M 1 Y
## 202 A2OPYRV3GLAPS1 32.17000 194.7789 M 1 Y
## 203 A3EC3OP6U52JYC 33.27000 164.7715 M 1 Y
## 204 A1P3HHEXWNLJMP 34.93000 209.5204 M 1 Y
## 205 A1DP2L19BNZJ2Y 36.39000 197.3454 M 1 Y
## 206 A3NFGEUZAH9V5G 36.81000 199.1938 M 1 Y
## 207 A6KOTWP7N7RLU 37.47000 188.4597 M 1 Y
## 208 A3B8CHEB2ZS31K 39.03000 173.4302 M 1 Y
## 209 A1DZMZTXWOM9MR 39.60000 173.3868 M 1 Y
## 210 A1CFMY4CEYOM8Y 41.61000 165.1677 M 1 Y
## 211 A22BBAU24IEHPL 42.75000 161.6708 M 1 Y
## 212 A2EXM21XS6NZV5 42.92000 164.4705 M 1 Y
## 213 A2MCRVU8I9VNHG 42.95000 170.7924 M 1 Y
## 214 A1M64R8HPYNNZA 43.29000 192.4972 M 1 Y
## 215 A27SRSSZ8JXUHM 44.08000 166.3713 M 1 Y
## 216 A3DS5B06ZCD3E3 44.69000 183.6196 M 1 Y
## 217 A21Q7FCKM86VL8 45.12000 178.2824 M 1 Y
## 218 AYHK8DTZONHKC 45.44000 190.5879 M 1 Y
## 219 A2Y0WNHMT4PZ4C 52.95000 188.5941 M 1 Y
## 220 A37XJVQF62ZYC 56.68000 183.3838 M 1 Y
## 221 A31Y2UA2LPDSWZ 58.15000 191.8229 M 1 Y
## 222 A6T4OHCY5WVVD 59.22000 163.9399 M 1 Y
## 223 A2I37S7GQR6X1H 59.43000 198.4622 M 1 Y
## 224 A2GR2RSG0YZOYY 59.55000 175.9474 M 1 Y
## 225 A1YX741QQSMKPS 60.31000 209.9375 M 1 Y
## 226 A3HSONMX6LNZR4 61.60000 182.7948 M 1 Y
## 227 A2ZAL0HAIBS9QH 61.73000 206.1634 M 1 Y
## 228 A6FDO4NJS24RK 62.53000 171.3212 M 1 Y
## 229 A37SLQRKOALNV6 63.30000 255.6908 M 1 Y
## 230 A21ZIB3KHPF0YF 63.70000 186.3587 M 1 Y
## 231 A1DKS1KI6S93HF 64.97000 220.8457 M 1 Y
## 232 A2CMDXGNP2XDB8 65.75000 157.2881 M 1 Y
## 233 A1DNJ17PE2RYJZ 67.05000 206.5152 M 1 Y
## 234 A1I6LWJWGKXOUU 67.41000 180.0045 M 1 Y
## 235 AQDRYJ6FNKW9D 67.72000 203.6276 M 1 Y
## 236 A34L4JED8UAIXC 68.42000 212.2040 M 1 Y
## 237 A4LIJVRU6DG61 68.87000 167.9107 M 1 Y
## 238 A2H1QUGX0SOUMH 69.99000 185.8426 M 1 Y
## 239 A3RT82GOZ3OGJO 70.13000 172.8472 M 1 Y
## 240 A2R75YFKVALBXE 70.68000 182.3697 M 1 Y
## 241 A14ADQ7RUN6TDY 70.94000 188.3114 M 1 Y
## 242 A306ROVVFUVWRN 71.24000 168.6779 M 1 Y
## 243 A1WMOJNU4FFQY8 71.35000 178.0573 M 1 Y
## 244 A2N9AKAOR17XB3 71.84000 174.0582 M 1 Y
## 245 A319HPP13ZAEMG 73.88000 192.0664 M 1 Y
## 246 AMVBT3XDCQBHI 75.06000 191.1772 M 1 Y
## 247 A1PR5LB62EVYAP 77.35000 189.5960 M 1 Y
## 248 A1T429RLLFTG35 78.09000 210.2235 M 1 Y
## 249 A2HQTGRWZQAEZQ 24.51000 159.3769 O NA Y
## 250 A1H3BDWBMB63W4 63.34000 189.8749 O 18 Y
## Cardiovascular.Risk LOE HITS_PAIR HITS_TRIP HITS_QUAD rFA_PAIR rFA_TRIP
## 1 high risk 15 0.6 0.6 0.6 0.0 0.2
## 2 high risk 16 1.0 0.8 1.0 0.0 0.0
## 3 high risk 12 1.0 0.8 0.8 0.0 0.0
## 4 high risk 16 0.8 0.8 1.0 0.2 0.6
## 5 low risk 18 1.0 0.8 0.8 0.0 0.0
## 6 high risk 12 1.0 0.2 0.6 0.2 0.0
## 7 high risk 12 1.0 0.4 0.6 0.2 0.4
## 8 high risk 16 1.0 1.0 0.8 0.0 0.0
## 9 high risk 16 1.0 0.6 1.0 0.2 0.2
## 10 high risk 14 1.0 0.8 1.0 0.0 0.0
## 11 low risk 18 0.8 1.0 0.8 0.4 0.4
## 12 high risk 16 0.8 0.8 0.8 0.0 0.2
## 13 low risk 16 1.0 0.8 0.8 0.0 0.2
## 14 high risk 13 0.6 0.4 0.8 0.2 0.2
## 15 high risk 14 1.0 0.4 0.6 0.2 0.6
## 16 low risk 18 1.0 0.8 1.0 0.8 0.6
## 17 high risk 16 0.4 0.6 1.0 0.4 0.4
## 18 high risk 18 1.0 0.8 0.8 0.4 0.8
## 19 high risk 14 1.0 1.0 1.0 0.8 0.8
## 20 low risk 15 0.6 1.0 0.4 0.0 0.2
## 21 high risk 16 0.8 0.8 1.0 0.4 0.2
## 22 high risk 16 0.6 0.4 0.8 0.0 0.6
## 23 low risk 17 1.0 0.6 1.0 0.0 0.0
## 24 low risk 16 1.0 0.6 0.6 0.4 0.4
## 25 low risk 16 1.0 1.0 1.0 0.2 0.6
## 26 low risk 16 1.0 1.0 1.0 0.4 0.4
## 27 low risk 18 1.0 0.8 0.8 0.2 0.6
## 28 low risk 12 0.8 0.8 0.8 0.0 0.0
## 29 low risk 16 1.0 1.0 1.0 0.2 0.8
## 30 low risk 16 1.0 1.0 1.0 0.0 0.2
## 31 low risk 16 0.8 1.0 1.0 0.2 0.6
## 32 low risk 18 1.0 1.0 1.0 0.4 0.4
## 33 low risk 14 0.8 1.0 1.0 0.4 0.8
## 34 low risk 16 1.0 0.8 0.6 0.0 0.0
## 35 low risk 12 1.0 1.0 1.0 0.6 0.8
## 36 low risk 16 1.0 0.8 1.0 0.2 0.4
## 37 low risk 18 0.6 0.4 0.4 0.2 0.6
## 38 low risk 16 1.0 0.6 0.2 0.2 0.4
## 39 low risk 12 0.8 1.0 1.0 0.2 0.4
## 40 low risk 16 1.0 1.0 1.0 0.8 1.0
## 41 low risk 12 0.6 0.4 0.6 0.8 0.6
## 42 low risk 14 1.0 0.6 0.8 0.6 0.8
## 43 low risk 12 1.0 1.0 0.6 0.0 0.4
## 44 low risk 15 1.0 1.0 1.0 0.0 0.0
## 45 low risk 12 1.0 1.0 0.8 0.6 1.0
## 46 low risk 16 1.0 0.6 1.0 0.6 0.2
## 47 low risk 16 0.8 0.8 0.0 0.0 0.2
## 48 low risk 14 1.0 1.0 1.0 0.2 0.0
## 49 low risk 15 1.0 0.6 0.8 0.2 0.0
## 50 low risk 16 1.0 1.0 1.0 0.2 0.0
## 51 low risk 14 1.0 0.8 0.8 0.4 0.6
## 52 low risk 18 1.0 0.6 0.6 0.0 0.4
## 53 low risk 14 1.0 0.8 0.4 0.0 0.2
## 54 low risk 18 0.8 0.8 1.0 0.2 0.6
## 55 low risk 12 1.0 1.0 1.0 0.2 0.6
## 56 low risk 12 0.8 0.8 0.8 0.2 0.4
## 57 low risk 12 0.6 1.0 0.8 0.2 0.8
## 58 low risk 12 0.8 1.0 1.0 0.2 0.6
## 59 low risk 16 0.4 0.8 1.0 0.4 0.6
## 60 low risk 13 0.2 0.6 0.6 0.2 0.2
## 61 low risk 18 1.0 0.8 0.6 0.0 0.6
## 62 low risk 12 0.6 1.0 1.0 1.0 1.0
## 63 low risk 14 0.6 1.0 0.6 0.8 0.6
## 64 high risk 12 1.0 0.8 0.4 0.6 0.4
## 65 low risk 14 1.0 0.8 1.0 0.0 0.4
## 66 high risk 14 0.8 0.4 0.8 0.6 0.4
## 67 high risk 16 0.8 0.6 0.6 0.8 0.4
## 68 high risk 14 1.0 0.8 1.0 0.0 0.2
## 69 high risk 13 1.0 0.4 0.8 0.2 0.2
## 70 high risk 12 1.0 0.6 0.4 0.4 0.2
## 71 low risk 17 0.8 0.6 0.8 0.6 0.4
## 72 high risk 14 1.0 0.6 0.4 1.0 0.6
## 73 high risk 18 0.8 0.6 0.8 0.0 0.2
## 74 high risk 16 0.2 0.6 1.0 0.4 0.2
## 75 high risk 16 0.6 0.2 0.8 0.2 0.4
## 76 low risk 18 0.6 0.2 0.6 0.4 0.4
## 77 high risk 14 1.0 1.0 1.0 0.0 0.0
## 78 high risk 14 0.4 0.8 0.6 0.8 0.6
## 79 high risk 18 1.0 0.8 0.8 0.2 0.2
## 80 high risk 16 1.0 1.0 1.0 0.2 0.6
## 81 high risk 16 1.0 0.6 0.8 0.4 0.2
## 82 high risk 16 1.0 1.0 0.8 0.2 0.4
## 83 high risk 16 1.0 0.8 0.6 0.0 0.0
## 84 high risk 16 1.0 0.6 0.6 0.0 0.4
## 85 high risk 14 1.0 0.8 0.8 0.0 0.0
## 86 low risk 16 1.0 0.8 1.0 0.0 0.6
## 87 high risk 12 1.0 1.0 1.0 0.2 0.0
## 88 high risk 18 1.0 1.0 0.8 0.4 0.6
## 89 high risk 16 1.0 0.8 0.4 1.0 0.6
## 90 low risk 18 0.2 0.4 0.2 0.0 0.0
## 91 high risk 16 0.6 0.8 0.6 0.2 0.2
## 92 high risk 16 0.6 0.6 0.4 1.0 0.8
## 93 high risk 12 1.0 0.8 1.0 0.2 0.4
## 94 high risk 16 1.0 0.8 0.6 0.0 0.2
## 95 high risk 12 0.4 0.2 0.8 0.0 0.6
## 96 low risk 16 1.0 0.8 1.0 0.2 0.8
## 97 high risk 12 1.0 0.8 0.8 0.0 0.6
## 98 high risk 16 0.8 0.4 0.6 0.2 0.0
## 99 high risk 16 0.8 0.8 0.8 0.0 0.6
## 100 high risk 16 0.8 1.0 0.4 0.6 0.6
## 101 low risk 16 1.0 1.0 0.8 0.2 0.6
## 102 high risk 21 0.4 0.4 0.8 0.0 0.8
## 103 high risk 18 0.8 0.2 0.6 0.4 0.6
## 104 high risk 13 0.8 0.8 0.6 0.4 1.0
## 105 high risk 18 0.8 0.6 0.6 0.6 0.2
## 106 high risk 16 0.6 0.8 1.0 0.2 0.6
## 107 high risk 12 1.0 0.8 0.8 0.6 0.2
## 108 high risk 15 0.8 1.0 1.0 0.0 0.6
## 109 high risk 14 1.0 0.4 0.2 0.4 0.6
## 110 high risk 14 0.4 0.0 0.4 0.2 0.0
## 111 high risk 16 1.0 0.6 0.6 0.4 0.6
## 112 high risk 17 0.8 0.4 0.2 0.2 0.2
## 113 high risk 18 0.8 0.8 1.0 0.6 0.4
## 114 high risk 13 0.8 0.8 1.0 0.2 0.6
## 115 high risk 12 1.0 0.4 1.0 1.0 0.6
## 116 high risk 21 0.8 0.8 0.6 0.4 0.4
## 117 high risk 16 0.8 0.6 0.4 0.0 0.2
## 118 high risk 12 0.4 0.2 0.2 0.2 0.0
## 119 high risk 18 0.8 1.0 1.0 0.4 0.8
## 120 high risk 1 0.2 0.0 0.4 0.0 0.0
## 121 high risk 13 0.6 1.0 1.0 0.2 0.0
## 122 high risk 15 0.8 0.8 0.8 0.2 0.4
## 123 high risk 14 0.8 0.8 0.8 0.0 0.0
## 124 high risk 16 0.6 0.4 0.6 0.0 0.6
## 125 high risk 16 0.6 0.8 0.6 0.2 0.4
## 126 high risk 12 0.8 0.8 0.6 0.4 0.6
## 127 high risk 14 0.8 0.4 0.4 0.2 0.0
## 128 high risk 16 1.0 1.0 1.0 0.0 0.4
## 129 high risk 16 0.4 0.4 0.8 0.2 0.0
## 130 high risk 16 1.0 0.2 0.2 0.2 0.2
## 131 high risk 12 0.8 0.6 0.2 0.4 0.8
## 132 high risk 12 1.0 0.6 0.8 0.2 0.2
## 133 high risk 16 1.0 0.6 0.6 0.2 0.0
## 134 high risk 16 0.4 0.4 0.8 0.4 0.4
## 135 high risk 12 1.0 1.0 1.0 0.0 0.0
## 136 high risk 16 1.0 1.0 1.0 0.4 0.6
## 137 high risk 21 1.0 1.0 0.4 0.2 0.2
## 138 high risk 18 0.4 0.6 0.6 0.2 0.2
## 139 high risk 16 1.0 0.6 1.0 0.2 0.8
## 140 high risk 14 0.8 0.4 1.0 0.0 0.4
## 141 high risk 13 0.8 0.6 0.6 0.4 0.8
## 142 high risk 18 1.0 1.0 1.0 0.0 0.0
## 143 high risk 16 1.0 1.0 0.8 0.0 0.0
## 144 high risk 18 1.0 0.6 1.0 0.2 0.2
## 145 high risk 14 1.0 0.4 0.2 0.2 0.2
## 146 high risk 16 0.8 0.8 1.0 0.4 0.6
## 147 low risk 15 1.0 1.0 0.6 0.2 0.2
## 148 low risk 17 1.0 0.8 0.8 0.0 0.4
## 149 low risk 18 1.0 1.0 0.4 0.4 1.0
## 150 high risk 12 1.0 0.6 0.4 0.0 0.2
## 151 low risk 16 1.0 1.0 1.0 0.2 0.0
## 152 low risk 12 0.6 0.4 0.8 0.2 0.4
## 153 high risk 18 0.8 1.0 0.8 0.2 0.4
## 154 low risk 16 1.0 0.6 0.4 0.0 0.4
## 155 low risk 12 0.8 0.6 0.6 0.0 0.0
## 156 low risk 16 1.0 1.0 0.6 0.2 0.6
## 157 low risk 14 0.6 0.8 0.4 0.2 0.2
## 158 high risk 16 1.0 0.8 1.0 0.2 0.2
## 159 low risk 16 1.0 0.6 0.8 0.0 0.4
## 160 low risk 16 1.0 1.0 1.0 0.6 0.6
## 161 low risk 18 1.0 0.4 1.0 0.2 0.4
## 162 low risk 16 1.0 0.6 1.0 0.6 0.0
## 163 low risk 17 1.0 0.8 0.4 0.6 0.4
## 164 low risk 13 1.0 1.0 1.0 1.0 1.0
## 165 low risk 18 1.0 1.0 1.0 0.2 0.2
## 166 low risk 18 0.6 0.6 0.8 0.4 0.0
## 167 high risk 16 1.0 0.4 0.0 0.4 0.0
## 168 high risk 13 0.6 0.8 1.0 0.2 0.6
## 169 low risk 12 1.0 0.6 0.8 0.0 0.6
## 170 low risk 16 0.8 0.8 1.0 0.0 0.8
## 171 low risk 12 1.0 0.8 0.8 0.4 0.2
## 172 high risk 15 1.0 0.6 0.8 0.4 0.4
## 173 low risk 15 1.0 1.0 1.0 0.6 0.8
## 174 low risk 16 0.8 1.0 1.0 0.2 0.2
## 175 low risk 16 0.8 0.6 0.2 0.6 0.4
## 176 low risk 16 1.0 1.0 1.0 0.6 0.6
## 177 high risk 16 1.0 0.6 0.6 0.0 0.0
## 178 high risk 16 1.0 0.8 1.0 0.4 0.4
## 179 high risk 14 0.8 1.0 0.8 0.6 0.6
## 180 low risk 13 0.6 0.8 1.0 0.2 0.4
## 181 low risk 16 1.0 0.8 0.8 0.0 0.4
## 182 high risk 12 0.8 0.4 0.8 0.0 0.2
## 183 high risk 17 0.8 0.8 0.8 0.0 0.6
## 184 high risk 18 1.0 0.6 0.6 0.4 0.6
## 185 low risk 13 0.8 0.6 1.0 0.2 0.6
## 186 low risk 18 0.8 1.0 0.8 1.0 0.4
## 187 low risk 12 1.0 0.8 0.4 0.2 1.0
## 188 low risk 13 1.0 0.6 1.0 0.4 0.6
## 189 low risk 12 0.8 0.6 0.4 0.0 0.0
## 190 high risk 16 0.8 0.8 1.0 0.2 0.4
## 191 low risk 13 0.6 0.4 0.6 0.2 0.4
## 192 high risk 12 1.0 0.8 1.0 0.2 0.6
## 193 high risk 14 0.8 0.2 0.8 0.2 0.2
## 194 high risk 20 1.0 0.8 1.0 0.2 0.0
## 195 low risk 16 1.0 1.0 0.4 0.6 0.6
## 196 low risk 16 0.8 0.4 0.6 1.0 0.4
## 197 high risk 12 1.0 0.8 0.8 0.2 0.4
## 198 low risk 16 1.0 0.8 0.8 0.8 0.8
## 199 high risk 16 0.8 0.8 0.6 0.6 0.0
## 200 high risk 14 1.0 0.8 0.4 0.0 0.0
## 201 low risk 16 0.8 0.4 0.8 0.0 0.0
## 202 low risk 18 1.0 1.0 0.6 0.0 0.2
## 203 low risk 16 1.0 1.0 1.0 0.4 0.8
## 204 high risk 16 1.0 0.8 0.8 0.4 0.0
## 205 low risk 18 1.0 1.0 0.4 0.6 0.6
## 206 high risk 14 0.6 0.6 0.4 0.8 0.8
## 207 high risk 16 0.6 0.8 1.0 0.2 0.0
## 208 low risk 11 1.0 0.8 1.0 0.4 0.8
## 209 low risk 12 1.0 0.8 1.0 0.6 0.2
## 210 low risk 15 1.0 0.4 0.4 0.2 0.8
## 211 high risk 12 0.4 0.2 0.8 0.4 1.0
## 212 low risk 18 0.8 1.0 0.8 0.4 0.4
## 213 low risk 12 0.8 0.4 0.8 0.6 0.0
## 214 low risk 16 1.0 0.6 0.8 0.2 1.0
## 215 high risk 16 1.0 1.0 1.0 0.2 0.4
## 216 high risk 12 1.0 1.0 1.0 0.0 0.0
## 217 high risk 16 0.8 0.2 0.4 0.2 0.2
## 218 high risk 16 0.6 0.0 0.6 0.8 0.6
## 219 high risk 12 0.6 1.0 0.6 1.0 0.8
## 220 low risk 14 0.8 0.6 0.6 0.0 0.2
## 221 high risk 21 0.6 0.6 0.8 0.0 0.2
## 222 high risk 15 1.0 0.8 1.0 0.2 0.6
## 223 low risk 18 1.0 0.8 1.0 0.6 0.8
## 224 low risk 16 0.4 0.8 0.6 0.2 0.6
## 225 low risk 16 1.0 0.8 1.0 0.2 0.4
## 226 high risk 18 1.0 1.0 0.6 0.2 0.4
## 227 low risk 18 1.0 0.6 0.6 0.0 0.2
## 228 high risk 16 1.0 0.8 0.4 0.4 0.4
## 229 high risk 13 1.0 0.4 0.6 0.4 0.6
## 230 low risk 15 1.0 0.6 1.0 0.0 0.4
## 231 high risk 16 1.0 0.8 0.8 0.6 0.8
## 232 high risk 18 0.8 1.0 1.0 0.0 0.6
## 233 high risk 18 1.0 0.6 0.4 0.0 0.0
## 234 low risk 16 0.8 0.6 0.4 0.0 0.2
## 235 high risk 18 1.0 0.6 0.6 0.8 0.2
## 236 high risk 17 0.6 0.8 1.0 0.4 0.6
## 237 high risk 12 1.0 0.8 1.0 1.0 0.8
## 238 high risk 16 1.0 1.0 0.8 0.6 0.8
## 239 high risk 12 1.0 0.6 0.6 0.2 0.4
## 240 high risk 18 0.8 0.8 0.8 0.2 0.4
## 241 high risk 16 1.0 0.8 1.0 0.6 0.8
## 242 high risk 16 1.0 0.8 0.8 0.4 0.8
## 243 low risk 16 0.8 0.8 0.6 0.8 0.6
## 244 high risk 13 1.0 0.6 0.6 0.4 0.6
## 245 low risk 18 0.6 0.4 0.6 0.4 0.4
## 246 high risk 13 1.0 0.6 1.0 0.4 0.8
## 247 low risk 14 1.0 1.0 0.4 0.2 0.6
## 248 low risk 15 0.8 1.0 1.0 0.0 0.2
## 249 high risk 12 1.0 1.0 1.0 0.0 0.0
## 250 high risk 60s 0.8 0.8 1.0 0.4 0.6
## rFA_QUAD nFA_PAIR nFA_TRIP nFA_QUAD RECOG_PAIR RECOG_TRIP RECOG_QUAD
## 1 0.2 0.2 0.2 0.0 0.4 0.4 0.6
## 2 1.0 0.0 0.0 0.0 1.0 0.8 1.0
## 3 0.6 0.0 0.0 0.0 1.0 0.8 0.8
## 4 0.4 0.2 0.0 0.0 0.6 0.8 1.0
## 5 0.2 0.0 0.0 0.0 1.0 0.8 0.8
## 6 0.4 0.2 0.0 0.2 0.8 0.2 0.4
## 7 0.2 0.0 0.0 0.0 1.0 0.4 0.6
## 8 0.4 0.0 0.0 0.0 1.0 1.0 0.8
## 9 0.4 0.2 0.0 0.0 0.8 0.6 1.0
## 10 0.4 0.0 0.0 0.0 1.0 0.8 1.0
## 11 0.2 0.0 0.0 0.2 0.8 1.0 0.6
## 12 0.2 0.0 0.0 0.0 0.8 0.8 0.8
## 13 0.4 0.0 0.0 0.0 1.0 0.8 0.8
## 14 0.6 0.0 0.4 0.0 0.6 0.0 0.8
## 15 0.6 0.0 0.0 0.0 1.0 0.4 0.6
## 16 0.8 0.2 0.2 0.2 0.8 0.6 0.8
## 17 0.6 0.2 0.4 0.2 0.2 0.2 0.8
## 18 1.0 0.0 0.0 0.4 1.0 0.8 0.4
## 19 1.0 0.4 0.2 0.4 0.6 0.8 0.6
## 20 0.8 0.0 0.0 0.0 0.6 1.0 0.4
## 21 0.8 0.0 0.2 0.0 0.8 0.6 1.0
## 22 1.0 0.0 0.0 0.8 0.6 0.4 0.0
## 23 0.2 0.0 0.0 0.0 1.0 0.6 1.0
## 24 0.2 0.0 0.0 0.0 1.0 0.6 0.6
## 25 1.0 0.0 0.4 0.2 1.0 0.6 0.8
## 26 0.8 0.0 0.0 0.0 1.0 1.0 1.0
## 27 0.8 0.0 0.0 0.0 1.0 0.8 0.8
## 28 0.4 0.2 0.0 0.0 0.6 0.8 0.8
## 29 0.2 0.0 0.0 0.0 1.0 1.0 1.0
## 30 0.0 0.0 0.0 0.0 1.0 1.0 1.0
## 31 0.6 0.0 0.0 0.2 0.8 1.0 0.8
## 32 0.6 0.0 0.0 0.0 1.0 1.0 1.0
## 33 1.0 0.0 0.0 0.0 0.8 1.0 1.0
## 34 0.0 0.0 0.0 0.0 1.0 0.8 0.6
## 35 1.0 0.2 0.0 0.2 0.8 1.0 0.8
## 36 0.4 0.0 0.0 0.0 1.0 0.8 1.0
## 37 0.8 0.0 0.0 0.0 0.6 0.4 0.4
## 38 0.4 0.0 0.0 0.0 1.0 0.6 0.2
## 39 0.8 0.0 0.0 0.0 0.8 1.0 1.0
## 40 1.0 0.0 0.2 0.6 1.0 0.8 0.4
## 41 0.8 0.2 0.2 0.2 0.4 0.2 0.4
## 42 0.6 0.0 0.0 0.0 1.0 0.6 0.8
## 43 0.4 0.0 0.0 0.0 1.0 1.0 0.6
## 44 0.2 0.0 0.0 0.0 1.0 1.0 1.0
## 45 0.6 0.2 0.0 0.0 0.8 1.0 0.8
## 46 0.8 0.0 0.0 0.0 1.0 0.6 1.0
## 47 0.8 0.0 0.0 0.0 0.8 0.8 0.0
## 48 0.4 0.0 0.0 0.0 1.0 1.0 1.0
## 49 1.0 0.0 0.0 0.0 1.0 0.6 0.8
## 50 0.6 0.0 0.0 0.0 1.0 1.0 1.0
## 51 0.4 0.0 0.0 0.0 1.0 0.8 0.8
## 52 0.6 0.2 0.0 0.2 0.8 0.6 0.4
## 53 0.2 0.0 0.0 0.0 1.0 0.8 0.4
## 54 0.6 0.0 0.0 0.0 0.8 0.8 1.0
## 55 1.0 0.0 0.2 0.0 1.0 0.8 1.0
## 56 1.0 0.0 0.0 0.0 0.8 0.8 0.8
## 57 0.8 0.0 0.2 0.0 0.6 0.8 0.8
## 58 0.8 0.0 0.0 0.0 0.8 1.0 1.0
## 59 0.8 0.0 0.2 0.4 0.4 0.6 0.6
## 60 0.2 0.0 0.0 0.0 0.2 0.6 0.6
## 61 1.0 0.0 0.0 0.0 1.0 0.8 0.6
## 62 0.8 0.8 0.4 0.0 -0.2 0.6 1.0
## 63 0.6 0.2 0.8 0.6 0.4 0.2 0.0
## 64 1.0 0.4 0.4 0.8 0.6 0.4 -0.4
## 65 0.2 0.0 0.0 0.0 1.0 0.8 1.0
## 66 0.8 0.2 0.0 0.2 0.6 0.4 0.6
## 67 0.8 0.6 0.2 0.0 0.2 0.4 0.6
## 68 0.6 0.0 0.0 0.0 1.0 0.8 1.0
## 69 0.6 0.4 0.2 0.2 0.6 0.2 0.6
## 70 0.4 0.0 0.0 0.0 1.0 0.6 0.4
## 71 0.6 0.2 0.0 0.0 0.6 0.6 0.8
## 72 0.6 0.0 0.4 0.2 1.0 0.2 0.2
## 73 1.0 0.0 0.0 0.0 0.8 0.6 0.8
## 74 0.8 0.0 0.2 0.2 0.2 0.4 0.8
## 75 0.2 0.0 0.2 0.0 0.6 0.0 0.8
## 76 0.4 0.0 0.2 0.0 0.6 0.0 0.6
## 77 0.6 0.0 0.0 0.0 1.0 1.0 1.0
## 78 0.4 0.0 0.2 0.0 0.4 0.6 0.6
## 79 0.6 0.2 0.0 0.0 0.8 0.8 0.8
## 80 0.8 0.0 0.2 0.0 1.0 0.8 1.0
## 81 0.6 0.0 0.2 0.2 1.0 0.4 0.6
## 82 0.6 0.0 0.2 0.4 1.0 0.8 0.4
## 83 0.0 0.0 0.0 0.0 1.0 0.8 0.6
## 84 0.6 0.4 0.4 0.2 0.6 0.2 0.4
## 85 0.2 0.0 0.0 0.0 1.0 0.8 0.8
## 86 0.8 0.0 0.0 0.0 1.0 0.8 1.0
## 87 0.2 0.0 0.0 0.0 1.0 1.0 1.0
## 88 0.6 0.0 0.0 0.2 1.0 1.0 0.6
## 89 1.0 0.4 0.4 0.2 0.6 0.4 0.2
## 90 0.4 0.0 0.0 0.0 0.2 0.4 0.2
## 91 0.6 0.0 0.0 0.0 0.6 0.8 0.6
## 92 1.0 0.0 0.4 0.2 0.6 0.2 0.2
## 93 0.8 0.6 0.4 0.2 0.4 0.4 0.8
## 94 0.2 0.0 0.0 0.2 1.0 0.8 0.4
## 95 0.8 0.4 0.0 0.2 0.0 0.2 0.6
## 96 0.6 0.0 0.0 0.0 1.0 0.8 1.0
## 97 0.8 0.0 0.0 0.0 1.0 0.8 0.8
## 98 0.2 0.0 0.0 0.0 0.8 0.4 0.6
## 99 0.4 0.2 0.0 0.0 0.6 0.8 0.8
## 100 0.2 0.2 0.0 0.6 0.6 1.0 -0.2
## 101 0.8 0.0 0.0 0.0 1.0 1.0 0.8
## 102 0.2 0.0 0.0 0.2 0.4 0.4 0.6
## 103 0.6 0.0 0.2 0.0 0.8 0.0 0.6
## 104 0.6 0.0 0.0 0.0 0.8 0.8 0.6
## 105 1.0 0.0 0.2 0.2 0.8 0.4 0.4
## 106 0.8 0.2 0.2 0.2 0.4 0.6 0.8
## 107 0.8 0.6 0.6 0.4 0.4 0.2 0.4
## 108 0.8 0.0 0.0 0.0 0.8 1.0 1.0
## 109 0.4 0.0 0.0 0.0 1.0 0.4 0.2
## 110 0.0 0.0 0.0 0.0 0.4 0.0 0.4
## 111 0.8 0.0 0.0 0.0 1.0 0.6 0.6
## 112 0.0 0.0 0.0 0.0 0.8 0.4 0.2
## 113 0.6 0.0 0.0 0.2 0.8 0.8 0.8
## 114 0.6 0.0 0.0 0.0 0.8 0.8 1.0
## 115 1.0 0.0 0.0 0.0 1.0 0.4 1.0
## 116 0.2 0.0 0.0 0.0 0.8 0.8 0.6
## 117 0.2 0.0 0.2 0.0 0.8 0.4 0.4
## 118 0.4 0.0 0.0 0.0 0.4 0.2 0.2
## 119 1.0 0.2 0.2 0.6 0.6 0.8 0.4
## 120 0.2 0.0 0.0 0.0 0.2 0.0 0.4
## 121 0.6 0.2 0.0 0.0 0.4 1.0 1.0
## 122 0.6 0.0 0.2 0.0 0.8 0.6 0.8
## 123 0.6 0.0 0.0 0.0 0.8 0.8 0.8
## 124 0.8 0.2 0.0 0.0 0.4 0.4 0.6
## 125 0.4 0.0 0.2 0.0 0.6 0.6 0.6
## 126 0.6 0.2 0.0 0.0 0.6 0.8 0.6
## 127 0.0 0.0 0.0 0.0 0.8 0.4 0.4
## 128 0.2 0.0 0.0 0.0 1.0 1.0 1.0
## 129 0.0 0.2 0.6 0.2 0.2 -0.2 0.6
## 130 0.0 0.0 0.0 0.0 1.0 0.2 0.2
## 131 0.6 0.2 0.2 0.2 0.6 0.4 0.0
## 132 0.8 0.0 0.0 0.0 1.0 0.6 0.8
## 133 1.0 0.0 0.0 0.0 1.0 0.6 0.6
## 134 0.2 0.0 0.0 0.0 0.4 0.4 0.8
## 135 0.0 0.0 0.0 0.0 1.0 1.0 1.0
## 136 0.6 0.0 0.0 0.0 1.0 1.0 1.0
## 137 0.8 0.0 0.2 0.0 1.0 0.8 0.4
## 138 0.2 0.0 0.0 0.0 0.4 0.6 0.6
## 139 0.8 0.0 0.0 0.0 1.0 0.6 1.0
## 140 0.6 0.0 0.0 0.2 0.8 0.4 0.8
## 141 1.0 0.0 0.0 0.0 0.8 0.6 0.6
## 142 0.0 0.0 0.0 0.0 1.0 1.0 1.0
## 143 0.2 0.0 0.0 0.0 1.0 1.0 0.8
## 144 0.8 0.0 0.0 0.0 1.0 0.6 1.0
## 145 0.2 0.0 0.2 0.0 1.0 0.2 0.2
## 146 0.8 0.0 0.0 0.0 0.8 0.8 1.0
## 147 0.6 0.0 0.0 0.2 1.0 1.0 0.4
## 148 0.2 0.0 0.0 0.0 1.0 0.8 0.8
## 149 0.8 0.0 0.2 0.0 1.0 0.8 0.4
## 150 0.2 0.0 0.0 0.0 1.0 0.6 0.4
## 151 0.6 0.0 0.0 0.0 1.0 1.0 1.0
## 152 0.8 0.2 0.0 0.2 0.4 0.4 0.6
## 153 0.8 0.0 0.2 0.2 0.8 0.8 0.6
## 154 1.0 0.0 0.2 0.0 1.0 0.4 0.4
## 155 0.8 0.0 0.0 0.0 0.8 0.6 0.6
## 156 0.4 0.0 0.0 0.0 1.0 1.0 0.6
## 157 0.2 0.0 0.0 0.0 0.6 0.8 0.4
## 158 0.2 0.0 0.0 0.0 1.0 0.8 1.0
## 159 1.0 0.0 0.0 0.2 1.0 0.6 0.6
## 160 0.8 0.0 0.0 0.2 1.0 1.0 0.8
## 161 0.4 0.0 0.0 0.0 1.0 0.4 1.0
## 162 1.0 0.0 0.0 0.2 1.0 0.6 0.8
## 163 0.8 0.0 0.0 0.0 1.0 0.8 0.4
## 164 1.0 0.2 0.0 0.0 0.8 1.0 1.0
## 165 0.6 0.2 0.0 0.0 0.8 1.0 1.0
## 166 0.8 0.0 0.0 0.0 0.6 0.6 0.8
## 167 0.2 0.2 0.0 0.0 0.8 0.4 0.0
## 168 0.8 0.2 0.2 0.2 0.4 0.6 0.8
## 169 0.6 0.0 0.0 0.0 1.0 0.6 0.8
## 170 1.0 0.0 0.0 0.0 0.8 0.8 1.0
## 171 0.8 0.2 0.2 0.2 0.8 0.6 0.6
## 172 0.4 0.0 0.0 0.0 1.0 0.6 0.8
## 173 1.0 0.0 0.0 0.0 1.0 1.0 1.0
## 174 0.2 0.0 0.0 0.0 0.8 1.0 1.0
## 175 0.6 0.2 0.0 0.0 0.6 0.6 0.2
## 176 1.0 1.0 0.4 0.4 0.0 0.6 0.6
## 177 0.6 0.2 0.0 0.0 0.8 0.6 0.6
## 178 0.6 0.2 0.2 0.2 0.8 0.6 0.8
## 179 0.8 0.0 0.0 0.0 0.8 1.0 0.8
## 180 0.6 0.0 0.0 0.0 0.6 0.8 1.0
## 181 0.0 0.0 0.0 0.0 1.0 0.8 0.8
## 182 0.8 0.0 0.0 0.0 0.8 0.4 0.8
## 183 0.8 0.0 0.0 0.0 0.8 0.8 0.8
## 184 0.0 0.0 0.0 0.0 1.0 0.6 0.6
## 185 0.8 0.0 0.0 0.0 0.8 0.6 1.0
## 186 1.0 0.2 0.2 0.0 0.6 0.8 0.8
## 187 0.8 0.0 0.2 0.2 1.0 0.6 0.2
## 188 1.0 0.0 0.2 0.0 1.0 0.4 1.0
## 189 0.0 0.0 0.0 0.0 0.8 0.6 0.4
## 190 1.0 0.0 0.2 0.0 0.8 0.6 1.0
## 191 0.0 0.0 0.0 0.2 0.6 0.4 0.4
## 192 0.4 0.0 0.0 0.0 1.0 0.8 1.0
## 193 0.8 0.2 0.0 0.2 0.6 0.2 0.6
## 194 0.4 0.0 0.0 0.0 1.0 0.8 1.0
## 195 0.8 0.4 0.6 0.8 0.6 0.4 -0.4
## 196 0.8 0.2 0.0 0.0 0.6 0.4 0.6
## 197 0.8 0.0 0.0 0.0 1.0 0.8 0.8
## 198 0.8 0.0 0.0 0.2 1.0 0.8 0.6
## 199 0.2 0.2 0.0 0.2 0.6 0.8 0.4
## 200 0.0 0.0 0.0 0.0 1.0 0.8 0.4
## 201 0.4 0.0 0.0 0.0 0.8 0.4 0.8
## 202 0.0 0.0 0.0 0.0 1.0 1.0 0.6
## 203 0.6 0.2 0.2 0.2 0.8 0.8 0.8
## 204 0.8 0.0 0.0 0.0 1.0 0.8 0.8
## 205 1.0 0.0 0.0 0.0 1.0 1.0 0.4
## 206 0.8 0.4 0.2 0.6 0.2 0.4 -0.2
## 207 0.4 0.0 0.0 0.0 0.6 0.8 1.0
## 208 0.6 0.0 0.0 0.0 1.0 0.8 1.0
## 209 0.6 0.0 0.0 0.0 1.0 0.8 1.0
## 210 0.8 0.2 0.4 0.4 0.8 0.0 0.0
## 211 0.4 0.2 0.0 0.0 0.2 0.2 0.8
## 212 0.6 0.0 0.0 0.0 0.8 1.0 0.8
## 213 1.0 0.0 0.0 0.0 0.8 0.4 0.8
## 214 0.8 0.4 0.2 0.2 0.6 0.4 0.6
## 215 0.2 0.0 0.0 0.0 1.0 1.0 1.0
## 216 0.2 0.0 0.0 0.0 1.0 1.0 1.0
## 217 0.8 0.0 0.0 0.0 0.8 0.2 0.4
## 218 1.0 0.2 0.0 0.2 0.4 0.0 0.4
## 219 0.8 0.2 0.0 0.0 0.4 1.0 0.6
## 220 0.4 0.0 0.0 0.0 0.8 0.6 0.6
## 221 0.2 0.0 0.0 0.0 0.6 0.6 0.8
## 222 0.6 0.0 0.0 0.0 1.0 0.8 1.0
## 223 1.0 0.0 0.0 0.0 1.0 0.8 1.0
## 224 0.2 0.4 0.2 0.8 0.0 0.6 -0.2
## 225 0.4 0.0 0.0 0.0 1.0 0.8 1.0
## 226 0.6 0.0 0.0 0.0 1.0 1.0 0.6
## 227 0.8 0.0 0.0 0.0 1.0 0.6 0.6
## 228 0.6 0.0 0.0 0.0 1.0 0.8 0.4
## 229 0.4 0.0 0.0 0.0 1.0 0.4 0.6
## 230 0.4 0.0 0.0 0.0 1.0 0.6 1.0
## 231 0.6 0.4 0.2 0.0 0.6 0.6 0.8
## 232 0.8 0.0 0.0 0.0 0.8 1.0 1.0
## 233 0.2 0.0 0.0 0.0 1.0 0.6 0.4
## 234 1.0 0.0 0.0 0.0 0.8 0.6 0.4
## 235 0.6 0.0 0.0 0.0 1.0 0.6 0.6
## 236 0.6 0.0 0.0 0.0 0.6 0.8 1.0
## 237 0.6 0.4 0.0 0.4 0.6 0.8 0.6
## 238 1.0 0.0 0.0 0.0 1.0 1.0 0.8
## 239 0.8 0.0 0.0 0.0 1.0 0.6 0.6
## 240 0.4 0.0 0.0 0.0 0.8 0.8 0.8
## 241 0.4 0.0 0.0 0.0 1.0 0.8 1.0
## 242 0.6 0.0 0.0 0.2 1.0 0.8 0.6
## 243 1.0 0.2 0.0 0.0 0.6 0.8 0.6
## 244 0.6 0.0 0.0 0.0 1.0 0.6 0.6
## 245 0.2 0.2 0.0 0.2 0.4 0.4 0.4
## 246 0.8 0.0 0.0 0.0 1.0 0.6 1.0
## 247 0.4 0.0 0.0 0.0 1.0 1.0 0.4
## 248 0.8 0.0 0.0 0.0 0.8 1.0 1.0
## 249 0.0 0.0 0.0 0.0 1.0 1.0 1.0
## 250 0.4 0.2 0.0 0.0 0.6 0.8 1.0
## ASSOC_PAIR ASSOC_TRIP ASSOC_QUAD
## 1 0.6 0.4 0.4
## 2 1.0 0.8 0.0
## 3 1.0 0.8 0.2
## 4 0.6 0.2 0.6
## 5 1.0 0.8 0.6
## 6 0.8 0.2 0.2
## 7 0.8 0.0 0.4
## 8 1.0 1.0 0.4
## 9 0.8 0.4 0.6
## 10 1.0 0.8 0.6
## 11 0.4 0.6 0.6
## 12 0.8 0.6 0.6
## 13 1.0 0.6 0.4
## 14 0.4 0.2 0.2
## 15 0.8 -0.2 0.0
## 16 0.2 0.2 0.2
## 17 0.0 0.2 0.4
## 18 0.6 0.0 -0.2
## 19 0.2 0.2 0.0
## 20 0.6 0.8 -0.4
## 21 0.4 0.6 0.2
## 22 0.6 -0.2 -0.2
## 23 1.0 0.6 0.8
## 24 0.6 0.2 0.4
## 25 0.8 0.4 0.0
## 26 0.6 0.6 0.2
## 27 0.8 0.2 0.0
## 28 0.8 0.8 0.4
## 29 0.8 0.2 0.8
## 30 1.0 0.8 1.0
## 31 0.6 0.4 0.4
## 32 0.6 0.6 0.4
## 33 0.4 0.2 0.0
## 34 1.0 0.8 0.6
## 35 0.4 0.2 0.0
## 36 0.8 0.4 0.6
## 37 0.4 -0.2 -0.4
## 38 0.8 0.2 -0.2
## 39 0.6 0.6 0.2
## 40 0.2 0.0 0.0
## 41 -0.2 -0.2 -0.2
## 42 0.4 -0.2 0.2
## 43 1.0 0.6 0.2
## 44 1.0 1.0 0.8
## 45 0.4 0.0 0.2
## 46 0.4 0.4 0.2
## 47 0.8 0.6 -0.8
## 48 0.8 1.0 0.6
## 49 0.8 0.6 -0.2
## 50 0.8 1.0 0.4
## 51 0.6 0.2 0.4
## 52 1.0 0.2 0.0
## 53 1.0 0.6 0.2
## 54 0.6 0.2 0.4
## 55 0.8 0.4 0.0
## 56 0.6 0.4 -0.2
## 57 0.4 0.2 0.0
## 58 0.6 0.4 0.2
## 59 0.0 0.2 0.2
## 60 0.0 0.4 0.4
## 61 1.0 0.2 -0.4
## 62 -0.4 0.0 0.2
## 63 -0.2 0.4 0.0
## 64 0.4 0.4 -0.6
## 65 1.0 0.4 0.8
## 66 0.2 0.0 0.0
## 67 0.0 0.2 -0.2
## 68 1.0 0.6 0.4
## 69 0.8 0.2 0.2
## 70 0.6 0.4 0.0
## 71 0.2 0.2 0.2
## 72 0.0 0.0 -0.2
## 73 0.8 0.4 -0.2
## 74 -0.2 0.4 0.2
## 75 0.4 -0.2 0.6
## 76 0.2 -0.2 0.2
## 77 1.0 1.0 0.4
## 78 -0.4 0.2 0.2
## 79 0.8 0.6 0.2
## 80 0.8 0.4 0.2
## 81 0.6 0.4 0.2
## 82 0.8 0.6 0.2
## 83 1.0 0.8 0.6
## 84 1.0 0.2 0.0
## 85 1.0 0.8 0.6
## 86 1.0 0.2 0.2
## 87 0.8 1.0 0.8
## 88 0.6 0.4 0.2
## 89 0.0 0.2 -0.6
## 90 0.2 0.4 -0.2
## 91 0.4 0.6 0.0
## 92 -0.4 -0.2 -0.6
## 93 0.8 0.4 0.2
## 94 1.0 0.6 0.4
## 95 0.4 -0.4 0.0
## 96 0.8 0.0 0.4
## 97 1.0 0.2 0.0
## 98 0.6 0.4 0.4
## 99 0.8 0.2 0.4
## 100 0.2 0.4 0.2
## 101 0.8 0.4 0.0
## 102 0.4 -0.4 0.6
## 103 0.4 -0.4 0.0
## 104 0.4 -0.2 0.0
## 105 0.2 0.4 -0.4
## 106 0.4 0.2 0.2
## 107 0.4 0.6 0.0
## 108 0.8 0.4 0.2
## 109 0.6 -0.2 -0.2
## 110 0.2 0.0 0.4
## 111 0.6 0.0 -0.2
## 112 0.6 0.2 0.2
## 113 0.2 0.4 0.4
## 114 0.6 0.2 0.4
## 115 0.0 -0.2 0.0
## 116 0.4 0.4 0.4
## 117 0.8 0.4 0.2
## 118 0.2 0.2 -0.2
## 119 0.4 0.2 0.0
## 120 0.2 0.0 0.2
## 121 0.4 1.0 0.4
## 122 0.6 0.4 0.2
## 123 0.8 0.8 0.2
## 124 0.6 -0.2 -0.2
## 125 0.4 0.4 0.2
## 126 0.4 0.2 0.0
## 127 0.6 0.4 0.4
## 128 1.0 0.6 0.8
## 129 0.2 0.4 0.8
## 130 0.8 0.0 0.2
## 131 0.4 -0.2 -0.4
## 132 0.8 0.4 0.0
## 133 0.8 0.6 -0.4
## 134 0.0 0.0 0.6
## 135 1.0 1.0 1.0
## 136 0.6 0.4 0.4
## 137 0.8 0.8 -0.4
## 138 0.2 0.4 0.4
## 139 0.8 -0.2 0.2
## 140 0.8 0.0 0.4
## 141 0.4 -0.2 -0.4
## 142 1.0 1.0 1.0
## 143 1.0 1.0 0.6
## 144 0.8 0.4 0.2
## 145 0.8 0.2 0.0
## 146 0.4 0.2 0.2
## 147 0.8 0.8 0.0
## 148 1.0 0.4 0.6
## 149 0.6 0.0 -0.4
## 150 1.0 0.4 0.2
## 151 0.8 1.0 0.4
## 152 0.4 0.0 0.0
## 153 0.6 0.6 0.0
## 154 1.0 0.2 -0.6
## 155 0.8 0.6 -0.2
## 156 0.8 0.4 0.2
## 157 0.4 0.6 0.2
## 158 0.8 0.6 0.8
## 159 1.0 0.2 -0.2
## 160 0.4 0.4 0.2
## 161 0.8 0.0 0.6
## 162 0.4 0.6 0.0
## 163 0.4 0.4 -0.4
## 164 0.0 0.0 0.0
## 165 0.8 0.8 0.4
## 166 0.2 0.6 0.0
## 167 0.6 0.4 -0.2
## 168 0.4 0.2 0.2
## 169 1.0 0.0 0.2
## 170 0.8 0.0 0.0
## 171 0.6 0.6 0.0
## 172 0.6 0.2 0.4
## 173 0.4 0.2 0.0
## 174 0.6 0.8 0.8
## 175 0.2 0.2 -0.4
## 176 0.4 0.4 0.0
## 177 1.0 0.6 0.0
## 178 0.6 0.4 0.4
## 179 0.2 0.4 0.0
## 180 0.4 0.4 0.4
## 181 1.0 0.4 0.8
## 182 0.8 0.2 0.0
## 183 0.8 0.2 0.0
## 184 0.6 0.0 0.6
## 185 0.6 0.0 0.2
## 186 -0.2 0.6 -0.2
## 187 0.8 -0.2 -0.4
## 188 0.6 0.0 0.0
## 189 0.8 0.6 0.4
## 190 0.6 0.4 0.0
## 191 0.4 0.0 0.6
## 192 0.8 0.2 0.6
## 193 0.6 0.0 0.0
## 194 0.8 0.8 0.6
## 195 0.4 0.4 -0.4
## 196 -0.2 0.0 -0.2
## 197 0.8 0.4 0.0
## 198 0.2 0.0 0.0
## 199 0.2 0.8 0.4
## 200 1.0 0.8 0.4
## 201 0.8 0.4 0.4
## 202 1.0 0.8 0.6
## 203 0.6 0.2 0.4
## 204 0.6 0.8 0.0
## 205 0.4 0.4 -0.6
## 206 -0.2 -0.2 -0.4
## 207 0.4 0.8 0.6
## 208 0.6 0.0 0.4
## 209 0.4 0.6 0.4
## 210 0.8 -0.4 -0.4
## 211 0.0 -0.8 0.4
## 212 0.4 0.6 0.2
## 213 0.2 0.4 -0.2
## 214 0.8 -0.4 0.0
## 215 0.8 0.6 0.8
## 216 1.0 1.0 0.8
## 217 0.6 0.0 -0.4
## 218 -0.2 -0.6 -0.4
## 219 -0.4 0.2 -0.2
## 220 0.8 0.4 0.2
## 221 0.6 0.4 0.6
## 222 0.8 0.2 0.4
## 223 0.4 0.0 0.0
## 224 0.2 0.2 0.4
## 225 0.8 0.4 0.6
## 226 0.8 0.6 0.0
## 227 1.0 0.4 -0.2
## 228 0.6 0.4 -0.2
## 229 0.6 -0.2 0.2
## 230 1.0 0.2 0.6
## 231 0.4 0.0 0.2
## 232 0.8 0.4 0.2
## 233 1.0 0.6 0.2
## 234 0.8 0.4 -0.6
## 235 0.2 0.4 0.0
## 236 0.2 0.2 0.4
## 237 0.0 0.0 0.4
## 238 0.4 0.2 -0.2
## 239 0.8 0.2 -0.2
## 240 0.6 0.4 0.4
## 241 0.4 0.0 0.6
## 242 0.6 0.0 0.2
## 243 0.0 0.2 -0.4
## 244 0.6 0.0 0.0
## 245 0.2 0.0 0.4
## 246 0.6 -0.2 0.2
## 247 0.8 0.4 0.0
## 248 0.8 0.8 0.2
## 249 1.0 1.0 1.0
## 250 0.4 0.2 0.6#renamed data
quadmax6 <- read.csv("master_Quadmax10_n250_V6.csv")#seeing what values are so that the cell means can be found
cellDescript <- with(quadmax6, aggregate(x=list(Mean=WEIGHT,SD=WEIGHT),
by=list(F1=Memory.Concerns, F2=Cardiovascular.Risk),
FUN=mean_sd) )
View(cellDescript) ## Warning in format.data.frame(x0): corrupt data frame: columns will be truncated
## or padded with NAs#running factorial anova
nov1 <- aov(WEIGHT~Cardiovascular.Risk*Memory.Concerns,data=quadmax6)
summary(nov1)## Df Sum Sq Mean Sq F value Pr(>F)
## Cardiovascular.Risk 1 13213 13213 14.504 0.000177 ***
## Memory.Concerns 1 1007 1007 1.105 0.294203
## Cardiovascular.Risk:Memory.Concerns 1 10028 10028 11.007 0.001045 **
## Residuals 246 224103 911
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#do memory concerns impact weight if you are high risk for cardiovascular disease?
quadmax6 %>% filter(Cardiovascular.Risk=="high risk") %>%
t.test(WEIGHT~Memory.Concerns,data=.) ##
## Welch Two Sample t-test
##
## data: WEIGHT by Memory.Concerns
## t = 2.9034, df = 138.55, p-value = 0.004297
## alternative hypothesis: true difference in means between group N and group Y is not equal to 0
## 95 percent confidence interval:
## 4.84495 25.53218
## sample estimates:
## mean in group N mean in group Y
## 174.0418 158.8533library(lsr)
quadmax6 %>% filter(Cardiovascular.Risk=="high risk") %>%
cohensD(WEIGHT~Memory.Concerns,data=.) ## [1] 0.487766#do memory concerns impact weight if you are low risk for cardiovascular disease?
quadmax6 %>% filter(Cardiovascular.Risk=="low risk") %>%
t.test(WEIGHT~Memory.Concerns,data=.) ##
## Welch Two Sample t-test
##
## data: WEIGHT by Memory.Concerns
## t = -1.8751, df = 106.65, p-value = 0.06351
## alternative hypothesis: true difference in means between group N and group Y is not equal to 0
## 95 percent confidence interval:
## -21.3600412 0.5944657
## sample estimates:
## mean in group N mean in group Y
## 145.9681 156.3509library(lsr)
quadmax6 %>% filter(Cardiovascular.Risk=="low risk") %>%
cohensD(WEIGHT~Memory.Concerns,data=.) ## [1] 0.3593548#find effect sizes
partial_eta_squared(nov1)## Cardiovascular.Risk Memory.Concerns
## 0.055676280 0.004471779
## Cardiovascular.Risk:Memory.Concerns
## 0.042828738#install.packages("easystats")
library(easystats) ## # Attaching packages: easystats 0.5.2 (red = needs update)
## ✖ insight 0.18.6 ✖ datawizard 0.6.3
## ✔ bayestestR 0.13.0 ✔ performance 0.10.0
## ✔ parameters 0.19.0 ✔ modelbased 0.8.5
## ✔ correlation 0.8.3 ✔ see 0.7.3
## ✔ report 0.5.5
## Restart the R-Session and update packages in red with `easystats::easystats_update()`.report(nov1) ## Warning: Could not find Sum-of-Squares for the (Intercept) in the ANOVA table.## The ANOVA (formula: WEIGHT ~ Cardiovascular.Risk * Memory.Concerns) suggests
## that:
##
## - The main effect of Cardiovascular.Risk is statistically significant and small
## (F(1, 246) = 14.50, p < .001; Eta2 (partial) = 0.06, 95% CI [0.02, 1.00])
## - The main effect of Memory.Concerns is statistically not significant and very
## small (F(1, 246) = 1.10, p = 0.294; Eta2 (partial) = 4.47e-03, 95% CI [0.00,
## 1.00])
## - The interaction between Cardiovascular.Risk and Memory.Concerns is
## statistically significant and small (F(1, 246) = 11.01, p = 0.001; Eta2
## (partial) = 0.04, 95% CI [0.01, 1.00])
##
## Effect sizes were labelled following Field's (2013) recommendations.#finding ranges to describe in my paper
range(quadmax6$AGE) ## [1] 18.89041 78.09000range(quadmax6$WEIGHT) ## [1] 100.5277 255.6908ggline(quadmax6, x = "Memory.Concerns", y = "WEIGHT", color = "Cardiovascular.Risk",
add = c("mean_se"))+
xlab("Memory Concerns")+
ylab("Weight")