#Began by setting working directory, creating a chunk, and reading in data.
read.csv("master_QuadMax10_n250.csv")
## SUBJECTS AGE GENDER SEX LOE HITS_PAIR HITS_TRIP HITS_QUAD
## 1 A3LKPH6ISMWLJR 18.89041 M 1 12 0.8 0.6 0.4
## 2 A1BZLPYW3YGUWZ 19.31233 F 0 13 0.6 1.0 1.0
## 3 A21GA1OKQTL190 19.70685 F 0 15 0.8 0.8 0.8
## 4 A2SO4O8XWUGS4A 20.15068 M 1 14 0.6 1.0 0.6
## 5 A4YZ6VBF5H9CF 20.64384 F 0 14 0.8 0.8 0.8
## 6 AXFBMLZKWVX1R 21.06000 M 1 12 1.0 0.8 0.4
## 7 A1YQ54ZCCS1G1C 21.24000 M 1 14 1.0 0.8 1.0
## 8 AS30DBRRD24P4 21.32603 F 0 16 0.6 0.4 0.6
## 9 A20R9K3NM82YRK 21.78000 M 1 14 0.8 0.4 0.8
## 10 A34CPKFZXBX1PO 22.18000 F 0 16 0.6 0.8 0.6
## 11 A3LL4VC2KFYZOJ 22.31507 F 0 15 0.6 0.6 0.6
## 12 AB8BRFF4ZTZ40 22.41096 M 1 16 0.8 0.6 0.6
## 13 A3FAF93BMDJLAL 22.47000 M 1 16 0.8 0.8 1.0
## 14 A1Y4PK1XCHCF6Q 22.78000 F 0 16 1.0 0.8 1.0
## 15 A3OHXCAWZXBFQA 23.02466 M 1 13 0.6 0.4 0.6
## 16 A2907V9QMK6SN4 23.03000 M 1 12 1.0 0.8 1.0
## 17 A1M8BYIP0KZJZX 23.79000 F 0 12 1.0 0.8 0.8
## 18 A39BG936EGBKCP 23.93000 F 0 16 0.8 0.8 1.0
## 19 AZCGF2D7QIO10 24.07000 M 1 14 1.0 0.8 1.0
## 20 A35ROC8J91VOW0 24.21000 F 0 12 0.8 0.8 0.6
## 21 A1BKF0KULCF6Y6 24.28767 M 1 13 1.0 0.4 0.8
## 22 A2HQTGRWZQAEZQ 24.51000 O 12 1.0 1.0 1.0
## 23 A1BDJMFP24FBGL 24.87000 F 0 14 0.8 0.4 0.4
## 24 A1TOVPZY91XVY0 24.89000 F 0 18 1.0 0.8 0.8
## 25 A2W55J9T0JDP2O 24.92000 F 0 12 1.0 0.2 0.6
## 26 A1L32YIF4HX5BQ 25.28000 F 0 12 1.0 0.4 0.6
## 27 A15CL9A9FVSJDW 25.29000 M 1 12 1.0 0.6 0.4
## 28 A1AIMKA54UBYIQ 25.33000 F 0 16 1.0 1.0 1.0
## 29 A2DU76P3SED4T6 25.49000 F 0 16 0.4 0.4 0.8
## 30 A1TEXCUTI4IUUN 25.64000 F 0 16 1.0 1.0 0.8
## 31 A1WOCD9SAYI07V 25.68000 M 1 17 0.8 0.6 0.8
## 32 ANXIYA9KKTO2Y 25.70411 F 0 16 1.0 0.2 0.2
## 33 A1SAMLI9AUPHEJ 25.82000 F 0 16 1.0 0.6 1.0
## 34 A7FA4ZUL4Y7Q9 26.03288 F 0 12 0.8 0.6 0.2
## 35 A1GYD62XNQT0O5 26.07671 M 1 14 0.8 0.2 0.8
## 36 A2GXLM74C7BDI8 26.18000 F 0 14 1.0 0.8 1.0
## 37 ATMZDIR1YW84P 26.33000 F 0 18 0.8 1.0 0.8
## 38 A4EOJGIAU41QC 26.36712 F 0 16 0.8 0.8 0.8
## 39 AL7A2XPPQ09LU 26.78904 M 1 14 1.0 0.6 0.4
## 40 A304JFG8AJM7U6 26.90000 F 0 12 1.0 0.6 0.8
## 41 A2H2NAJOO8UZMY 26.93699 M 1 20 1.0 0.8 1.0
## 42 A1LEKO0AKAJGD0 27.02000 M 1 16 1.0 1.0 0.4
## 43 A1H5SUG5DZOZ8Z 27.18000 F 0 16 1.0 0.6 0.6
## 44 A2IZAD6SRVCPRY 27.30000 M 1 16 0.8 0.4 0.6
## 45 A145AXBDTCIW6Z 27.64000 F 0 16 0.4 0.4 0.8
## 46 A2L2U34U20ZNQS 28.17000 F 0 12 1.0 1.0 1.0
## 47 A2CM01YNMNEXGG 28.26000 F 0 16 1.0 0.8 0.8
## 48 A3FHXMLW3J2K8L 28.33699 F 0 16 1.0 1.0 1.0
## 49 A3CN7T0IYDE3NJ 28.34000 M 1 18 0.8 0.6 0.8
## 50 A32AAIUH6VJNLV 28.59000 F 0 21 1.0 1.0 0.4
## 51 A3P5P5LGJGB6HD 28.62466 M 1 12 1.0 0.8 0.8
## 52 A3V1VK1A3NYN17 28.64932 M 1 16 0.2 0.6 1.0
## 53 ADKJBYY9Q3VNZ 28.79178 M 1 16 1.0 0.8 0.8
## 54 A2Y87M8V0N1M6P 29.31000 F 0 13 0.6 0.4 0.8
## 55 ADP1QUGXHGJRS 29.92000 M 1 16 0.6 0.2 0.8
## 56 A108TIBAENZAFI 30.00000 M 1 18 0.6 0.2 0.6
## 57 A3CI73EFDLS3OF 30.13000 F 0 18 0.4 0.6 0.6
## 58 A5M975UINIFLU 30.15000 F 0 14 1.0 0.4 0.6
## 59 AGILQEFEPEK7N 30.45000 M 1 16 0.8 0.8 0.6
## 60 A318M33K2896OL 30.59000 M 1 14 1.0 0.8 0.4
## 61 A33ST4DW1A4PGK 31.55000 M 1 14 1.0 1.0 1.0
## 62 A14NPY8VAHGDQP 31.58000 M 1 16 0.8 0.4 0.8
## 63 A3NKNOE5HIXXL 31.88000 F 0 18 1.0 0.8 1.0
## 64 A39KUEDR8ZS1CF 31.98000 F 0 16 0.4 0.6 1.0
## 65 A39VZ93N96XB6O 32.08000 F 0 18 1.0 0.8 0.8
## 66 A34VLM2UC0JY11 32.17000 F 0 16 1.0 0.6 1.0
## 67 A2OPYRV3GLAPS1 32.17000 M 1 18 1.0 1.0 0.6
## 68 A3EVRS5DB4TE1A 32.35000 F 0 14 0.8 0.4 1.0
## 69 A36P1ZQ0GYF567 32.37000 F 0 13 0.8 0.6 0.6
## 70 A1720HSKGQ41VJ 32.66000 F 0 18 1.0 1.0 1.0
## 71 A3HGZDLMCKGPSE 32.72000 M 1 14 0.4 0.8 0.6
## 72 ACD400BAWY7QC 32.81000 M 1 18 1.0 0.8 0.8
## 73 A3EC3OP6U52JYC 33.27000 M 1 16 1.0 1.0 1.0
## 74 A3HKX5ZYAWDKIN 33.99000 M 1 16 1.0 1.0 1.0
## 75 A8A9DUD87SMQ9 34.24000 F 0 16 1.0 1.0 0.8
## 76 A2TXZVXQU5FQZ9 34.88000 M 1 16 1.0 0.6 0.8
## 77 A1P3HHEXWNLJMP 34.93000 M 1 16 1.0 0.8 0.8
## 78 A1DP2L19BNZJ2Y 36.39000 M 1 18 1.0 1.0 0.4
## 79 A7P3R1AIA4TVV 36.49000 M 1 16 1.0 1.0 0.8
## 80 A3BWB2PMOZY5MP 36.56000 F 0 14 1.0 1.0 1.0
## 81 A2VA0NCPWJ8XZG 36.63000 M 1 16 1.0 0.8 0.6
## 82 A1INS1BWU3S0NQ 36.69000 F 0 18 1.0 0.6 1.0
## 83 A1710X6OIQP62Q 36.69000 F 0 15 0.6 1.0 0.4
## 84 A3NFGEUZAH9V5G 36.81000 M 1 14 0.6 0.6 0.4
## 85 A2OFN0A5CPLH57 37.28000 F 0 16 0.8 0.8 1.0
## 86 A6KOTWP7N7RLU 37.47000 M 1 16 0.6 0.8 1.0
## 87 A1N8C5XMSNY0KE 37.50000 M 1 16 1.0 0.6 0.6
## 88 A87D3K9YVKTQ7 37.93000 F 0 16 0.6 0.4 0.8
## 89 A1QKIA8XRNEXIG 38.01000 F 0 14 1.0 0.4 0.2
## 90 A3GHLKX4ZUSJH0 38.54000 F 0 16 0.8 0.8 1.0
## 91 A18RZQ35649XKD 38.67000 F 0 17 1.0 0.6 1.0
## 92 A3B8CHEB2ZS31K 39.03000 M 1 11 1.0 0.8 1.0
## 93 A3UN1F1EOHKKE6 39.11000 M 1 14 1.0 0.8 0.8
## 94 A1XH5P1RMV9GPQ 39.37000 F 0 15 1.0 1.0 0.6
## 95 A1DZMZTXWOM9MR 39.60000 M 1 12 1.0 0.8 1.0
## 96 A39MTR3ER9GLBF 40.29000 F 0 16 1.0 0.6 0.6
## 97 A2QPMJ4GADLUW2 40.73000 F 0 16 1.0 1.0 1.0
## 98 A1CE3DR200PXSS 40.73000 F 0 16 1.0 1.0 1.0
## 99 A7O82NXM2PI12 40.96000 M 1 16 1.0 0.8 1.0
## 100 A1TPGXT718D68E 41.01000 F 0 17 1.0 0.8 0.8
## 101 A1CFMY4CEYOM8Y 41.61000 M 1 15 1.0 0.4 0.4
## 102 A1BNEJ2Q76JNF3 41.66000 M 1 12 1.0 1.0 1.0
## 103 A237O646ZJ1SFW 42.04000 F 0 18 1.0 1.0 0.4
## 104 A1VVR9MA1P9HWJ 42.39000 F 0 18 1.0 0.8 0.8
## 105 A22BBAU24IEHPL 42.75000 M 1 12 0.4 0.2 0.8
## 106 A2EXM21XS6NZV5 42.92000 M 1 18 0.8 1.0 0.8
## 107 A2MCRVU8I9VNHG 42.95000 M 1 12 0.8 0.4 0.8
## 108 A302KOFOYLD89A 43.03000 F 0 12 0.8 0.8 0.8
## 109 A1LENHSFWGC5EU 43.19000 M 1 18 1.0 1.0 0.8
## 110 A1M64R8HPYNNZA 43.29000 M 1 16 1.0 0.6 0.8
## 111 A2BHZNAKEDRYCB 43.90000 F 0 16 1.0 1.0 1.0
## 112 A27SRSSZ8JXUHM 44.08000 M 1 16 1.0 1.0 1.0
## 113 A1PJUYJ7W2LKKQ 44.41000 M 1 16 1.0 0.8 0.4
## 114 A3DS5B06ZCD3E3 44.69000 M 1 12 1.0 1.0 1.0
## 115 A311QKIQ0I2071 44.78000 M 1 18 0.2 0.4 0.2
## 116 A21Q7FCKM86VL8 45.12000 M 1 16 0.8 0.2 0.4
## 117 A3DUPRZSMU9W5R 45.15000 F 0 16 1.0 1.0 1.0
## 118 A1H1TKK54YG94Q 45.15000 M 1 16 0.6 0.8 0.6
## 119 AYHK8DTZONHKC 45.44000 M 1 16 0.6 0.0 0.6
## 120 A12H4QENEVBRSB 46.63000 F 0 16 0.8 1.0 1.0
## 121 A2OVX9UW5WANQE 46.87000 F 0 12 1.0 0.6 0.4
## 122 A1FG2G9TZSDN 47.71000 F 0 16 1.0 1.0 1.0
## 123 A55CXM7QR7R0N 48.20000 F 0 12 0.6 0.4 0.8
## 124 A2A7R0WEEFC3OX 48.38000 M 1 16 0.6 0.6 0.4
## 125 A314XJY8V1YL12 48.49000 F 0 18 1.0 1.0 1.0
## 126 A8ZUM922CBH6S 49.11000 M 1 12 1.0 0.8 1.0
## 127 A2DC6TG86OSCRK 49.14000 F 0 18 0.8 1.0 0.8
## 128 A2CTCKTL2LL5V 49.67000 F 0 16 1.0 0.6 0.4
## 129 A2ALYW6W16PUYQ 49.84000 F 0 12 0.8 0.6 0.6
## 130 A3GWRDHAURRNK6 49.94000 M 1 16 1.0 0.8 0.6
## 131 A36WN1T2MQ6W38 49.99000 M 1 12 0.4 0.2 0.8
## 132 A2EPBSY0VPI38S 50.75000 F 0 16 1.0 1.0 0.6
## 133 A3EYRDEQ7CXUMN 51.45000 M 1 16 1.0 0.8 1.0
## 134 A377LTGWJKY2IW 52.05000 F 0 14 0.6 0.8 0.4
## 135 ACGGIBC0P38HU 52.45000 M 1 12 1.0 0.8 0.8
## 136 A2N9U74YIPDQ9F 52.74000 F 0 16 1.0 0.8 1.0
## 137 A1IL81UMEC9OJI 52.84000 M 1 16 0.8 0.4 0.6
## 138 A49A0FF6ZXYDU 52.85000 F 0 16 1.0 0.6 0.8
## 139 A2Y0WNHMT4PZ4C 52.95000 M 1 12 0.6 1.0 0.6
## 140 A25FH7PXC446RG 53.78000 F 0 16 1.0 1.0 1.0
## 141 A1WNE8XK0EBAMP 53.96000 M 1 16 0.8 0.8 0.8
## 142 A2OX8TSRCU6NKD 54.22000 F 0 18 1.0 0.4 1.0
## 143 ALK9XZBTNDAUH 54.73000 F 0 14 0.8 1.0 1.0
## 144 A1O57XVTTB1PNZ 55.48000 F 0 16 1.0 0.6 1.0
## 145 A3SLXLALO5SQXY 56.56000 M 1 16 0.8 1.0 0.4
## 146 A37XJVQF62ZYC 56.68000 M 1 14 0.8 0.6 0.6
## 147 AUDAL9HYHCY34 56.84000 M 1 16 1.0 1.0 0.8
## 148 A3PRFA3M7OSCT5 56.96000 F 0 17 1.0 0.8 0.4
## 149 A26RO8GGTQAXGG 57.09000 F 0 16 1.0 0.8 0.6
## 150 APDDA1Y59RHV9 57.12000 F 0 13 1.0 1.0 1.0
## 151 AX4QV62HBKJ34 57.28000 M 1 21 0.4 0.4 0.8
## 152 A249EWKM1EOARK 57.78000 F 0 12 1.0 1.0 1.0
## 153 A3FBC5W56LKQXL 57.99000 F 0 18 1.0 1.0 1.0
## 154 A3MELYYGRJ61SX 58.00000 F 0 16 1.0 0.8 1.0
## 155 A31Y2UA2LPDSWZ 58.15000 M 1 21 0.6 0.6 0.8
## 156 AM0QVBV8L6QCJ 58.61000 M 1 18 0.8 0.2 0.6
## 157 A121T4P5NKCHCS 58.90000 M 1 13 0.8 0.8 0.6
## 158 A2X823PACMMOKP 58.91000 F 0 18 0.6 0.4 0.4
## 159 AAW7FTFH4276B 59.02000 F 0 18 0.6 0.6 0.8
## 160 A2FV2TYREMZNGD 59.06000 F 0 16 1.0 0.4 0.0
## 161 A6T4OHCY5WVVD 59.22000 M 1 15 1.0 0.8 1.0
## 162 A10JXOU89D5RXR 59.27000 F 0 16 1.0 0.6 0.2
## 163 A2I37S7GQR6X1H 59.43000 M 1 18 1.0 0.8 1.0
## 164 A27T2G69VP68YP 59.53000 M 1 18 0.8 0.6 0.6
## 165 A1BB4DMPN1GY00 59.54000 F 0 13 0.6 0.8 1.0
## 166 A1H2Y2PDEQ7OWT 59.54000 F 0 12 0.8 1.0 1.0
## 167 A2GR2RSG0YZOYY 59.55000 M 1 16 0.4 0.8 0.6
## 168 AL90GN96DMQB8 59.69000 M 1 16 0.6 0.8 1.0
## 169 A1CZ2GB5LZ9O5H 59.86000 F 0 12 1.0 0.6 0.8
## 170 A23HANYTQPADUC 60.09000 M 1 12 1.0 0.8 0.8
## 171 A1YX741QQSMKPS 60.31000 M 1 16 1.0 0.8 1.0
## 172 A371H3PQPR2Z8J 60.41000 M 1 15 0.8 1.0 1.0
## 173 A30VLIFQPJZ17P 60.57000 F 0 16 0.8 0.8 1.0
## 174 AKTQD9Y44G495 61.34000 F 0 16 1.0 1.0 1.0
## 175 A26ZENZ5G8AEGM 61.56000 21 60s 1 0.2 0.0 0.4
## 176 A3HSONMX6LNZR4 61.60000 M 1 18 1.0 1.0 0.6
## 177 A3ROYUO9LWA22S 61.62000 F 0 12 1.0 0.8 0.8
## 178 A2ZAL0HAIBS9QH 61.73000 M 1 18 1.0 0.6 0.6
## 179 A39IEKRAOTJTD7 61.90000 F 0 12 0.6 0.4 0.6
## 180 A3KU7DD8Q1NQ7P 61.95000 M 1 14 1.0 0.4 0.2
## 181 A169WH54HMYS5Z 62.13000 F 0 14 1.0 0.6 0.8
## 182 A8GD33ZJ1SAA5 62.15000 F 0 15 1.0 0.6 0.8
## 183 A2L73JKDFWI0KJ 62.20000 F 0 15 1.0 1.0 1.0
## 184 A6FDO4NJS24RK 62.53000 M 1 16 1.0 0.8 0.4
## 185 A2VNSNAN1LZBAM 62.54000 F 0 12 1.0 1.0 0.6
## 186 A37SLQRKOALNV6 63.30000 M 1 13 1.0 0.4 0.6
## 187 A1H3BDWBMB63W4 63.34000 O 18 60s 0.8 0.8 1.0
## 188 A2VN8Q8X7WWIM 63.65000 M 1 14 0.4 0.0 0.4
## 189 A21ZIB3KHPF0YF 63.70000 M 1 15 1.0 0.6 1.0
## 190 A3AA1L892OJ81M 63.85000 F 0 16 0.8 1.0 1.0
## 191 A3NG205QJ48IM4 64.48000 F 0 16 0.8 0.6 0.2
## 192 AEQ95NMC3VXQ5 64.91000 F 0 15 1.0 1.0 1.0
## 193 A1DKS1KI6S93HF 64.97000 M 1 16 1.0 0.8 0.8
## 194 A1LDO8EYGXOA9D 65.18000 M 1 16 1.0 0.6 0.6
## 195 A2I3IM3RJO2OL0 65.19000 F 0 16 1.0 1.0 1.0
## 196 AL7UTA8J27TFK 65.37000 M 1 17 0.8 0.4 0.2
## 197 A2CMDXGNP2XDB8 65.75000 M 1 18 0.8 1.0 1.0
## 198 A2NKE99I9M8EP3 65.90000 M 1 18 0.8 0.8 1.0
## 199 A24EAYGSHOXEGP 65.98000 F 0 16 1.0 0.6 0.6
## 200 A2H557RQ3T3LPX 66.39000 F 0 12 1.0 1.0 0.8
## 201 A1DNJ17PE2RYJZ 67.05000 M 1 18 1.0 0.6 0.4
## 202 A1AZLJ3R5FQ9B7 67.08000 F 0 16 1.0 0.6 1.0
## 203 A1I6LWJWGKXOUU 67.41000 M 1 16 0.8 0.6 0.4
## 204 A8E7IOAZRC2IC 67.64000 M 1 13 0.8 0.8 1.0
## 205 AQDRYJ6FNKW9D 67.72000 M 1 18 1.0 0.6 0.6
## 206 A1KOHXO0BIQB8T 67.90000 M 1 12 1.0 0.4 1.0
## 207 A32CJGO1ARXLE8 68.24000 M 1 21 0.8 0.8 0.6
## 208 A34L4JED8UAIXC 68.42000 M 1 17 0.6 0.8 1.0
## 209 A36PRTZFECB76C 68.77000 F 0 16 1.0 0.8 1.0
## 210 A4LIJVRU6DG61 68.87000 M 1 12 1.0 0.8 1.0
## 211 A10L7F2V8368DO 69.10000 F 0 14 0.8 1.0 0.8
## 212 A9XX3BUUML3ST 69.12000 F 0 16 0.8 0.8 0.0
## 213 A16L21AR8X012 69.52000 F 0 14 1.0 1.0 1.0
## 214 A38XRCVYVF4A31 69.53000 M 1 16 0.8 0.6 0.4
## 215 AYXN53TNFG71P 69.58000 F 0 13 0.6 0.8 1.0
## 216 A221J0YB28SBLI 69.59000 F 0 16 1.0 0.8 0.8
## 217 AHZ5YRRIRTLJG 69.63000 F 0 15 1.0 0.6 0.8
## 218 A28VRECAUOO7U9 69.68000 F 0 12 0.8 0.4 0.8
## 219 AHSXMZBNS9BPA 69.75000 F 0 16 1.0 1.0 1.0
## 220 A3RNYHTTJZ6JUP 69.77000 F 0 17 0.8 0.8 0.8
## 221 A13CXQGLSH6QY8 69.95000 F 0 14 1.0 0.8 0.8
## 222 A2H1QUGX0SOUMH 69.99000 M 1 16 1.0 1.0 0.8
## 223 A1XDNR8GKQWCOG 70.06000 F 0 18 1.0 0.6 0.6
## 224 A3RT82GOZ3OGJO 70.13000 M 1 12 1.0 0.6 0.6
## 225 A3PGG36FKY8QP 70.27000 M 1 12 0.4 0.2 0.2
## 226 A2R75YFKVALBXE 70.68000 M 1 18 0.8 0.8 0.8
## 227 A2APG8MSLJ6G2K 70.80000 F 0 14 1.0 0.8 0.4
## 228 A14ADQ7RUN6TDY 70.94000 M 1 16 1.0 0.8 1.0
## 229 A306ROVVFUVWRN 71.24000 M 1 16 1.0 0.8 0.8
## 230 A36B9OFG2QJTM7 71.32000 F 0 18 1.0 0.6 0.6
## 231 A2O2O2X7PGR8XW 71.35000 M 1 18 0.8 1.0 1.0
## 232 A1WMOJNU4FFQY8 71.35000 M 1 16 0.8 0.8 0.6
## 233 AR55GGUU5JWWS 71.39000 F 0 18 0.8 0.8 1.0
## 234 A1BK15QBL5758M 71.42000 F 0 13 0.8 0.6 1.0
## 235 A1BNGJBEWJS8WE 71.81000 F 0 12 1.0 1.0 1.0
## 236 A2N9AKAOR17XB3 71.84000 M 1 13 1.0 0.6 0.6
## 237 A3PT6YF2OZRSKX 72.94000 F 0 12 0.8 0.8 0.8
## 238 A1DY5XUPK5A7MZ 72.99000 F 0 18 0.8 1.0 0.8
## 239 A396U3HHP2ECZI 73.74000 F 0 12 0.6 1.0 0.8
## 240 A319HPP13ZAEMG 73.88000 M 1 18 0.6 0.4 0.6
## 241 AV0LIAO8E356J 74.26000 F 0 12 0.8 1.0 1.0
## 242 AMVBT3XDCQBHI 75.06000 M 1 13 1.0 0.6 1.0
## 243 A139701FEHQMJ7 75.57000 F 0 16 0.4 0.8 1.0
## 244 A24NKUCAX1LURL 76.87000 F 0 12 1.0 0.8 0.4
## 245 AKISVGHDC6WFN 77.23000 F 0 13 0.2 0.6 0.6
## 246 A1US1UNHW59ESW 77.30000 F 0 13 1.0 0.6 1.0
## 247 A3RXXEVLEAM53M 77.32000 F 0 18 1.0 0.8 0.6
## 248 A1PR5LB62EVYAP 77.35000 M 1 14 1.0 1.0 0.4
## 249 A29ILQO8285XX 77.87000 F 0 12 0.6 1.0 1.0
## 250 A1T429RLLFTG35 78.09000 M 1 15 0.8 1.0 1.0
## rFA_PAIR rFA_TRIP rFA_QUAD nFA_PAIR nFA_TRIP nFA_QUAD RECOG_PAIR RECOG_TRIP
## 1 0.0 0.0 0.0 0.0 0.0 0.0 0.8 0.6
## 2 0.2 0.0 0.6 0.2 0.0 0.0 0.4 1.0
## 3 0.2 0.4 0.6 0.0 0.2 0.0 0.8 0.6
## 4 0.8 0.6 0.6 0.2 0.8 0.6 0.4 0.2
## 5 0.0 0.0 0.6 0.0 0.0 0.0 0.8 0.8
## 6 0.6 0.4 1.0 0.4 0.4 0.8 0.6 0.4
## 7 0.0 0.4 0.2 0.0 0.0 0.0 1.0 0.8
## 8 0.0 0.6 0.8 0.2 0.0 0.0 0.4 0.4
## 9 0.6 0.4 0.8 0.2 0.0 0.2 0.6 0.4
## 10 0.2 0.4 0.4 0.0 0.2 0.0 0.6 0.6
## 11 0.0 0.2 0.2 0.2 0.2 0.0 0.4 0.4
## 12 0.8 0.4 0.8 0.6 0.2 0.0 0.2 0.4
## 13 0.2 0.4 1.0 0.0 0.2 0.0 0.8 0.6
## 14 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.8
## 15 0.2 0.4 0.0 0.0 0.0 0.2 0.6 0.4
## 16 0.2 0.6 0.4 0.0 0.0 0.0 1.0 0.8
## 17 0.0 0.0 0.6 0.0 0.0 0.0 1.0 0.8
## 18 0.2 0.6 0.4 0.2 0.0 0.0 0.6 0.8
## 19 0.0 0.2 0.6 0.0 0.0 0.0 1.0 0.8
## 20 0.4 0.6 0.6 0.2 0.0 0.0 0.6 0.8
## 21 0.2 0.2 0.6 0.4 0.2 0.2 0.6 0.2
## 22 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0
## 23 0.2 0.0 0.0 0.0 0.0 0.0 0.8 0.4
## 24 0.0 0.0 0.2 0.0 0.0 0.0 1.0 0.8
## 25 0.2 0.0 0.4 0.2 0.0 0.2 0.8 0.2
## 26 0.2 0.4 0.2 0.0 0.0 0.0 1.0 0.4
## 27 0.4 0.2 0.4 0.0 0.0 0.0 1.0 0.6
## 28 0.0 0.4 0.2 0.0 0.0 0.0 1.0 1.0
## 29 0.2 0.0 0.0 0.2 0.6 0.2 0.2 -0.2
## 30 0.0 0.0 0.4 0.0 0.0 0.0 1.0 1.0
## 31 0.6 0.4 0.6 0.2 0.0 0.0 0.6 0.6
## 32 0.2 0.2 0.0 0.0 0.0 0.0 1.0 0.2
## 33 0.2 0.2 0.4 0.2 0.0 0.0 0.8 0.6
## 34 0.4 0.8 0.6 0.2 0.2 0.2 0.6 0.4
## 35 0.2 0.2 0.8 0.2 0.0 0.2 0.6 0.2
## 36 0.0 0.0 0.4 0.0 0.0 0.0 1.0 0.8
## 37 0.4 0.4 0.2 0.0 0.0 0.2 0.8 1.0
## 38 0.0 0.2 0.2 0.0 0.0 0.0 0.8 0.8
## 39 1.0 0.6 0.6 0.0 0.4 0.2 1.0 0.2
## 40 0.2 0.2 0.8 0.0 0.0 0.0 1.0 0.6
## 41 0.2 0.0 0.4 0.0 0.0 0.0 1.0 0.8
## 42 0.6 0.6 0.8 0.4 0.6 0.8 0.6 0.4
## 43 0.2 0.0 1.0 0.0 0.0 0.0 1.0 0.6
## 44 1.0 0.4 0.8 0.2 0.0 0.0 0.6 0.4
## 45 0.4 0.4 0.2 0.0 0.0 0.0 0.4 0.4
## 46 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0
## 47 0.0 0.2 0.4 0.0 0.0 0.0 1.0 0.8
## 48 0.4 0.6 0.6 0.0 0.0 0.0 1.0 1.0
## 49 0.0 0.2 1.0 0.0 0.0 0.0 0.8 0.6
## 50 0.2 0.2 0.8 0.0 0.2 0.0 1.0 0.8
## 51 0.2 0.4 0.8 0.0 0.0 0.0 1.0 0.8
## 52 0.4 0.2 0.8 0.0 0.2 0.2 0.2 0.4
## 53 0.8 0.8 0.8 0.0 0.0 0.2 1.0 0.8
## 54 0.2 0.2 0.6 0.0 0.4 0.0 0.6 0.0
## 55 0.2 0.4 0.2 0.0 0.2 0.0 0.6 0.0
## 56 0.4 0.4 0.4 0.0 0.2 0.0 0.6 0.0
## 57 0.2 0.2 0.2 0.0 0.0 0.0 0.4 0.6
## 58 0.2 0.6 0.6 0.0 0.0 0.0 1.0 0.4
## 59 0.6 0.0 0.2 0.2 0.0 0.2 0.6 0.8
## 60 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.8
## 61 0.0 0.0 0.6 0.0 0.0 0.0 1.0 1.0
## 62 0.0 0.0 0.4 0.0 0.0 0.0 0.8 0.4
## 63 0.8 0.6 0.8 0.2 0.2 0.2 0.8 0.6
## 64 0.4 0.4 0.6 0.2 0.4 0.2 0.2 0.2
## 65 0.4 0.8 1.0 0.0 0.0 0.4 1.0 0.8
## 66 0.2 0.8 0.8 0.0 0.0 0.0 1.0 0.6
## 67 0.0 0.2 0.0 0.0 0.0 0.0 1.0 1.0
## 68 0.0 0.4 0.6 0.0 0.0 0.2 0.8 0.4
## 69 0.4 0.8 1.0 0.0 0.0 0.0 0.8 0.6
## 70 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0
## 71 0.8 0.6 0.4 0.0 0.2 0.0 0.4 0.6
## 72 0.2 0.2 0.6 0.2 0.0 0.0 0.8 0.8
## 73 0.4 0.8 0.6 0.2 0.2 0.2 0.8 0.8
## 74 0.2 0.6 0.8 0.0 0.2 0.0 1.0 0.8
## 75 0.0 0.0 0.2 0.0 0.0 0.0 1.0 1.0
## 76 0.4 0.2 0.6 0.0 0.2 0.2 1.0 0.4
## 77 0.4 0.0 0.8 0.0 0.0 0.0 1.0 0.8
## 78 0.6 0.6 1.0 0.0 0.0 0.0 1.0 1.0
## 79 0.2 0.4 0.6 0.0 0.2 0.4 1.0 0.8
## 80 0.8 0.8 1.0 0.4 0.2 0.4 0.6 0.8
## 81 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.8
## 82 0.2 0.2 0.8 0.0 0.0 0.0 1.0 0.6
## 83 0.0 0.2 0.8 0.0 0.0 0.0 0.6 1.0
## 84 0.8 0.8 0.8 0.4 0.2 0.6 0.2 0.4
## 85 0.4 0.2 0.8 0.0 0.2 0.0 0.8 0.6
## 86 0.2 0.0 0.4 0.0 0.0 0.0 0.6 0.8
## 87 0.0 0.4 0.6 0.4 0.4 0.2 0.6 0.2
## 88 0.0 0.6 1.0 0.0 0.0 0.8 0.6 0.4
## 89 0.2 0.2 0.2 0.0 0.2 0.0 1.0 0.2
## 90 0.4 0.6 0.8 0.0 0.0 0.0 0.8 0.8
## 91 0.0 0.0 0.2 0.0 0.0 0.0 1.0 0.6
## 92 0.4 0.8 0.6 0.0 0.0 0.0 1.0 0.8
## 93 0.0 0.0 0.2 0.0 0.0 0.0 1.0 0.8
## 94 0.2 0.2 0.6 0.0 0.0 0.2 1.0 1.0
## 95 0.6 0.2 0.6 0.0 0.0 0.0 1.0 0.8
## 96 0.4 0.4 0.2 0.0 0.0 0.0 1.0 0.6
## 97 0.2 0.6 1.0 0.0 0.4 0.2 1.0 0.6
## 98 0.4 0.4 0.8 0.0 0.0 0.0 1.0 1.0
## 99 0.0 0.6 0.8 0.0 0.0 0.0 1.0 0.8
## 100 0.0 0.4 0.2 0.0 0.0 0.0 1.0 0.8
## 101 0.2 0.8 0.8 0.2 0.4 0.4 0.8 0.0
## 102 0.2 0.0 0.2 0.0 0.0 0.0 1.0 1.0
## 103 0.4 1.0 0.8 0.0 0.2 0.0 1.0 0.8
## 104 0.2 0.6 0.8 0.0 0.0 0.0 1.0 0.8
## 105 0.4 1.0 0.4 0.2 0.0 0.0 0.2 0.2
## 106 0.4 0.4 0.6 0.0 0.0 0.0 0.8 1.0
## 107 0.6 0.0 1.0 0.0 0.0 0.0 0.8 0.4
## 108 0.0 0.0 0.4 0.2 0.0 0.0 0.6 0.8
## 109 0.4 0.6 0.6 0.0 0.0 0.2 1.0 1.0
## 110 0.2 1.0 0.8 0.4 0.2 0.2 0.6 0.4
## 111 0.2 0.8 0.2 0.0 0.0 0.0 1.0 1.0
## 112 0.2 0.4 0.2 0.0 0.0 0.0 1.0 1.0
## 113 1.0 0.6 1.0 0.4 0.4 0.2 0.6 0.4
## 114 0.0 0.0 0.2 0.0 0.0 0.0 1.0 1.0
## 115 0.0 0.0 0.4 0.0 0.0 0.0 0.2 0.4
## 116 0.2 0.2 0.8 0.0 0.0 0.0 0.8 0.2
## 117 0.0 0.2 0.0 0.0 0.0 0.0 1.0 1.0
## 118 0.2 0.2 0.6 0.0 0.0 0.0 0.6 0.8
## 119 0.8 0.6 1.0 0.2 0.0 0.2 0.4 0.0
## 120 0.2 0.6 0.6 0.0 0.0 0.2 0.8 1.0
## 121 0.0 0.2 0.2 0.0 0.0 0.0 1.0 0.6
## 122 0.2 0.0 0.6 0.0 0.0 0.0 1.0 1.0
## 123 0.2 0.4 0.8 0.2 0.0 0.2 0.4 0.4
## 124 1.0 0.8 1.0 0.0 0.4 0.2 0.6 0.2
## 125 0.4 0.4 0.6 0.0 0.0 0.0 1.0 1.0
## 126 0.2 0.4 0.8 0.6 0.4 0.2 0.4 0.4
## 127 0.2 0.4 0.8 0.0 0.2 0.2 0.8 0.8
## 128 0.0 0.4 1.0 0.0 0.2 0.0 1.0 0.4
## 129 0.0 0.0 0.8 0.0 0.0 0.0 0.8 0.6
## 130 0.0 0.2 0.2 0.0 0.0 0.2 1.0 0.8
## 131 0.0 0.6 0.8 0.4 0.0 0.2 0.0 0.2
## 132 0.2 0.6 0.4 0.0 0.0 0.0 1.0 1.0
## 133 0.2 0.8 0.6 0.0 0.0 0.0 1.0 0.8
## 134 0.2 0.2 0.2 0.0 0.0 0.0 0.6 0.8
## 135 0.0 0.6 0.8 0.0 0.0 0.0 1.0 0.8
## 136 0.2 0.2 0.2 0.0 0.0 0.0 1.0 0.8
## 137 0.2 0.0 0.2 0.0 0.0 0.0 0.8 0.4
## 138 0.0 0.4 1.0 0.0 0.0 0.2 1.0 0.6
## 139 1.0 0.8 0.8 0.2 0.0 0.0 0.4 1.0
## 140 0.6 0.6 0.8 0.0 0.0 0.2 1.0 1.0
## 141 0.0 0.6 0.4 0.2 0.0 0.0 0.6 0.8
## 142 0.2 0.4 0.4 0.0 0.0 0.0 1.0 0.4
## 143 0.4 0.8 1.0 0.0 0.0 0.0 0.8 1.0
## 144 0.6 0.0 1.0 0.0 0.0 0.2 1.0 0.6
## 145 0.6 0.6 0.2 0.2 0.0 0.6 0.6 1.0
## 146 0.0 0.2 0.4 0.0 0.0 0.0 0.8 0.6
## 147 0.2 0.6 0.8 0.0 0.0 0.0 1.0 1.0
## 148 0.6 0.4 0.8 0.0 0.0 0.0 1.0 0.8
## 149 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.8
## 150 1.0 1.0 1.0 0.2 0.0 0.0 0.8 1.0
## 151 0.0 0.8 0.2 0.0 0.0 0.2 0.4 0.4
## 152 0.6 0.8 1.0 0.2 0.0 0.2 0.8 1.0
## 153 0.2 0.2 0.6 0.2 0.0 0.0 0.8 1.0
## 154 0.2 0.4 0.4 0.0 0.0 0.0 1.0 0.8
## 155 0.0 0.2 0.2 0.0 0.0 0.0 0.6 0.6
## 156 0.4 0.6 0.6 0.0 0.2 0.0 0.8 0.0
## 157 0.4 1.0 0.6 0.0 0.0 0.0 0.8 0.8
## 158 0.2 0.6 0.8 0.0 0.0 0.0 0.6 0.4
## 159 0.4 0.0 0.8 0.0 0.0 0.0 0.6 0.6
## 160 0.4 0.0 0.2 0.2 0.0 0.0 0.8 0.4
## 161 0.2 0.6 0.6 0.0 0.0 0.0 1.0 0.8
## 162 0.2 0.4 0.4 0.0 0.0 0.0 1.0 0.6
## 163 0.6 0.8 1.0 0.0 0.0 0.0 1.0 0.8
## 164 0.6 0.2 1.0 0.0 0.2 0.2 0.8 0.4
## 165 0.2 0.6 0.8 0.2 0.2 0.2 0.4 0.6
## 166 0.2 0.4 0.8 0.0 0.0 0.0 0.8 1.0
## 167 0.2 0.6 0.2 0.4 0.2 0.8 0.0 0.6
## 168 0.2 0.6 0.8 0.2 0.2 0.2 0.4 0.6
## 169 0.0 0.6 0.6 0.0 0.0 0.0 1.0 0.6
## 170 0.6 0.2 0.8 0.6 0.6 0.4 0.4 0.2
## 171 0.2 0.4 0.4 0.0 0.0 0.0 1.0 0.8
## 172 0.0 0.6 0.8 0.0 0.0 0.0 0.8 1.0
## 173 0.0 0.8 1.0 0.0 0.0 0.0 0.8 0.8
## 174 0.8 1.0 1.0 0.0 0.2 0.6 1.0 0.8
## 175 0.0 0.0 0.2 0.0 0.0 0.0 0.2 0.0
## 176 0.2 0.4 0.6 0.0 0.0 0.0 1.0 1.0
## 177 0.4 0.2 0.8 0.2 0.2 0.2 0.8 0.6
## 178 0.0 0.2 0.8 0.0 0.0 0.0 1.0 0.6
## 179 0.8 0.6 0.8 0.2 0.2 0.2 0.4 0.2
## 180 0.4 0.6 0.4 0.0 0.0 0.0 1.0 0.4
## 181 0.6 0.8 0.6 0.0 0.0 0.0 1.0 0.6
## 182 0.4 0.4 0.4 0.0 0.0 0.0 1.0 0.6
## 183 0.6 0.8 1.0 0.0 0.0 0.0 1.0 1.0
## 184 0.4 0.4 0.6 0.0 0.0 0.0 1.0 0.8
## 185 0.0 0.4 0.4 0.0 0.0 0.0 1.0 1.0
## 186 0.4 0.6 0.4 0.0 0.0 0.0 1.0 0.4
## 187 0.4 0.6 0.4 0.2 0.0 0.0 0.6 0.8
## 188 0.2 0.0 0.0 0.0 0.0 0.0 0.4 0.0
## 189 0.0 0.4 0.4 0.0 0.0 0.0 1.0 0.6
## 190 0.2 0.2 0.2 0.0 0.0 0.0 0.8 1.0
## 191 0.6 0.4 0.6 0.2 0.0 0.0 0.6 0.6
## 192 0.0 0.0 0.2 0.0 0.0 0.0 1.0 1.0
## 193 0.6 0.8 0.6 0.4 0.2 0.0 0.6 0.6
## 194 0.4 0.6 0.8 0.0 0.0 0.0 1.0 0.6
## 195 0.6 0.6 1.0 1.0 0.4 0.4 0.0 0.6
## 196 0.2 0.2 0.0 0.0 0.0 0.0 0.8 0.4
## 197 0.0 0.6 0.8 0.0 0.0 0.0 0.8 1.0
## 198 0.6 0.4 0.6 0.0 0.0 0.2 0.8 0.8
## 199 0.0 0.0 0.6 0.2 0.0 0.0 0.8 0.6
## 200 0.6 1.0 0.6 0.2 0.0 0.0 0.8 1.0
## 201 0.0 0.0 0.2 0.0 0.0 0.0 1.0 0.6
## 202 0.6 0.2 0.8 0.0 0.0 0.0 1.0 0.6
## 203 0.0 0.2 1.0 0.0 0.0 0.0 0.8 0.6
## 204 0.2 0.6 0.6 0.0 0.0 0.0 0.8 0.8
## 205 0.8 0.2 0.6 0.0 0.0 0.0 1.0 0.6
## 206 1.0 0.6 1.0 0.0 0.0 0.0 1.0 0.4
## 207 0.4 0.4 0.2 0.0 0.0 0.0 0.8 0.8
## 208 0.4 0.6 0.6 0.0 0.0 0.0 0.6 0.8
## 209 0.4 0.4 0.6 0.2 0.2 0.2 0.8 0.6
## 210 1.0 0.8 0.6 0.4 0.0 0.4 0.6 0.8
## 211 0.6 0.6 0.8 0.0 0.0 0.0 0.8 1.0
## 212 0.0 0.2 0.8 0.0 0.0 0.0 0.8 0.8
## 213 0.2 0.0 0.4 0.0 0.0 0.0 1.0 1.0
## 214 0.0 0.2 0.2 0.0 0.2 0.0 0.8 0.4
## 215 0.2 0.4 0.6 0.0 0.0 0.0 0.6 0.8
## 216 0.0 0.4 0.0 0.0 0.0 0.0 1.0 0.8
## 217 0.2 0.0 1.0 0.0 0.0 0.0 1.0 0.6
## 218 0.0 0.2 0.8 0.0 0.0 0.0 0.8 0.4
## 219 0.2 0.0 0.6 0.0 0.0 0.0 1.0 1.0
## 220 0.0 0.6 0.8 0.0 0.0 0.0 0.8 0.8
## 221 0.4 0.6 0.4 0.0 0.0 0.0 1.0 0.8
## 222 0.6 0.8 1.0 0.0 0.0 0.0 1.0 1.0
## 223 0.0 0.4 0.6 0.2 0.0 0.2 0.8 0.6
## 224 0.2 0.4 0.8 0.0 0.0 0.0 1.0 0.6
## 225 0.2 0.0 0.4 0.0 0.0 0.0 0.4 0.2
## 226 0.2 0.4 0.4 0.0 0.0 0.0 0.8 0.8
## 227 0.0 0.2 0.2 0.0 0.0 0.0 1.0 0.8
## 228 0.6 0.8 0.4 0.0 0.0 0.0 1.0 0.8
## 229 0.4 0.8 0.6 0.0 0.0 0.2 1.0 0.8
## 230 0.4 0.6 0.0 0.0 0.0 0.0 1.0 0.6
## 231 0.4 0.8 1.0 0.2 0.2 0.6 0.6 0.8
## 232 0.8 0.6 1.0 0.2 0.0 0.0 0.6 0.8
## 233 0.2 0.6 0.6 0.0 0.0 0.0 0.8 0.8
## 234 0.2 0.6 0.8 0.0 0.0 0.0 0.8 0.6
## 235 0.2 0.6 1.0 0.0 0.2 0.0 1.0 0.8
## 236 0.4 0.6 0.6 0.0 0.0 0.0 1.0 0.6
## 237 0.2 0.4 1.0 0.0 0.0 0.0 0.8 0.8
## 238 1.0 0.4 1.0 0.2 0.2 0.0 0.6 0.8
## 239 0.2 0.8 0.8 0.0 0.2 0.0 0.6 0.8
## 240 0.4 0.4 0.2 0.2 0.0 0.2 0.4 0.4
## 241 0.2 0.6 0.8 0.0 0.0 0.0 0.8 1.0
## 242 0.4 0.8 0.8 0.0 0.0 0.0 1.0 0.6
## 243 0.4 0.6 0.8 0.0 0.2 0.4 0.4 0.6
## 244 0.2 1.0 0.8 0.0 0.2 0.2 1.0 0.6
## 245 0.2 0.2 0.2 0.0 0.0 0.0 0.2 0.6
## 246 0.4 0.6 1.0 0.0 0.2 0.0 1.0 0.4
## 247 0.0 0.6 1.0 0.0 0.0 0.0 1.0 0.8
## 248 0.2 0.6 0.4 0.0 0.0 0.0 1.0 1.0
## 249 1.0 1.0 0.8 0.8 0.4 0.0 -0.2 0.6
## 250 0.0 0.2 0.8 0.0 0.0 0.0 0.8 1.0
## RECOG_QUAD ASSOC_PAIR ASSOC_TRIP ASSOC_QUAD
## 1 0.4 0.8 0.6 0.4
## 2 1.0 0.4 1.0 0.4
## 3 0.8 0.6 0.4 0.2
## 4 0.0 -0.2 0.4 0.0
## 5 0.8 0.8 0.8 0.2
## 6 -0.4 0.4 0.4 -0.6
## 7 1.0 1.0 0.4 0.8
## 8 0.6 0.6 -0.2 -0.2
## 9 0.6 0.2 0.0 0.0
## 10 0.6 0.4 0.4 0.2
## 11 0.6 0.6 0.4 0.4
## 12 0.6 0.0 0.2 -0.2
## 13 1.0 0.6 0.4 0.0
## 14 1.0 1.0 0.8 0.0
## 15 0.4 0.4 0.0 0.6
## 16 1.0 0.8 0.2 0.6
## 17 0.8 1.0 0.8 0.2
## 18 1.0 0.6 0.2 0.6
## 19 1.0 1.0 0.6 0.4
## 20 0.6 0.4 0.2 0.0
## 21 0.6 0.8 0.2 0.2
## 22 1.0 1.0 1.0 1.0
## 23 0.4 0.6 0.4 0.4
## 24 0.8 1.0 0.8 0.6
## 25 0.4 0.8 0.2 0.2
## 26 0.6 0.8 0.0 0.4
## 27 0.4 0.6 0.4 0.0
## 28 1.0 1.0 0.6 0.8
## 29 0.6 0.2 0.4 0.8
## 30 0.8 1.0 1.0 0.4
## 31 0.8 0.2 0.2 0.2
## 32 0.2 0.8 0.0 0.2
## 33 1.0 0.8 0.4 0.6
## 34 0.0 0.4 -0.2 -0.4
## 35 0.6 0.6 0.0 0.0
## 36 1.0 1.0 0.8 0.6
## 37 0.6 0.4 0.6 0.6
## 38 0.8 0.8 0.6 0.6
## 39 0.2 0.0 0.0 -0.2
## 40 0.8 0.8 0.4 0.0
## 41 1.0 0.8 0.8 0.6
## 42 -0.4 0.4 0.4 -0.4
## 43 0.6 0.8 0.6 -0.4
## 44 0.6 -0.2 0.0 -0.2
## 45 0.8 0.0 0.0 0.6
## 46 1.0 1.0 1.0 1.0
## 47 0.8 1.0 0.6 0.4
## 48 1.0 0.6 0.4 0.4
## 49 0.8 0.8 0.4 -0.2
## 50 0.4 0.8 0.8 -0.4
## 51 0.8 0.8 0.4 0.0
## 52 0.8 -0.2 0.4 0.2
## 53 0.6 0.2 0.0 0.0
## 54 0.8 0.4 0.2 0.2
## 55 0.8 0.4 -0.2 0.6
## 56 0.6 0.2 -0.2 0.2
## 57 0.6 0.2 0.4 0.4
## 58 0.6 0.8 -0.2 0.0
## 59 0.4 0.2 0.8 0.4
## 60 0.4 1.0 0.8 0.4
## 61 1.0 1.0 1.0 0.4
## 62 0.8 0.8 0.4 0.4
## 63 0.8 0.2 0.2 0.2
## 64 0.8 0.0 0.2 0.4
## 65 0.4 0.6 0.0 -0.2
## 66 1.0 0.8 -0.2 0.2
## 67 0.6 1.0 0.8 0.6
## 68 0.8 0.8 0.0 0.4
## 69 0.6 0.4 -0.2 -0.4
## 70 1.0 1.0 1.0 1.0
## 71 0.6 -0.4 0.2 0.2
## 72 0.8 0.8 0.6 0.2
## 73 0.8 0.6 0.2 0.4
## 74 1.0 0.8 0.4 0.2
## 75 0.8 1.0 1.0 0.6
## 76 0.6 0.6 0.4 0.2
## 77 0.8 0.6 0.8 0.0
## 78 0.4 0.4 0.4 -0.6
## 79 0.4 0.8 0.6 0.2
## 80 0.6 0.2 0.2 0.0
## 81 0.6 1.0 0.8 0.6
## 82 1.0 0.8 0.4 0.2
## 83 0.4 0.6 0.8 -0.4
## 84 -0.2 -0.2 -0.2 -0.4
## 85 1.0 0.4 0.6 0.2
## 86 1.0 0.4 0.8 0.6
## 87 0.4 1.0 0.2 0.0
## 88 0.0 0.6 -0.2 -0.2
## 89 0.2 0.8 0.2 0.0
## 90 1.0 0.4 0.2 0.2
## 91 1.0 1.0 0.6 0.8
## 92 1.0 0.6 0.0 0.4
## 93 0.8 1.0 0.8 0.6
## 94 0.4 0.8 0.8 0.0
## 95 1.0 0.4 0.6 0.4
## 96 0.6 0.6 0.2 0.4
## 97 0.8 0.8 0.4 0.0
## 98 1.0 0.6 0.6 0.2
## 99 1.0 1.0 0.2 0.2
## 100 0.8 1.0 0.4 0.6
## 101 0.0 0.8 -0.4 -0.4
## 102 1.0 0.8 1.0 0.8
## 103 0.4 0.6 0.0 -0.4
## 104 0.8 0.8 0.2 0.0
## 105 0.8 0.0 -0.8 0.4
## 106 0.8 0.4 0.6 0.2
## 107 0.8 0.2 0.4 -0.2
## 108 0.8 0.8 0.8 0.4
## 109 0.6 0.6 0.4 0.2
## 110 0.6 0.8 -0.4 0.0
## 111 1.0 0.8 0.2 0.8
## 112 1.0 0.8 0.6 0.8
## 113 0.2 0.0 0.2 -0.6
## 114 1.0 1.0 1.0 0.8
## 115 0.2 0.2 0.4 -0.2
## 116 0.4 0.6 0.0 -0.4
## 117 1.0 1.0 0.8 1.0
## 118 0.6 0.4 0.6 0.0
## 119 0.4 -0.2 -0.6 -0.4
## 120 0.8 0.6 0.4 0.4
## 121 0.4 1.0 0.4 0.2
## 122 1.0 0.8 1.0 0.4
## 123 0.6 0.4 0.0 0.0
## 124 0.2 -0.4 -0.2 -0.6
## 125 1.0 0.6 0.6 0.4
## 126 0.8 0.8 0.4 0.2
## 127 0.6 0.6 0.6 0.0
## 128 0.4 1.0 0.2 -0.6
## 129 0.6 0.8 0.6 -0.2
## 130 0.4 1.0 0.6 0.4
## 131 0.6 0.4 -0.4 0.0
## 132 0.6 0.8 0.4 0.2
## 133 1.0 0.8 0.0 0.4
## 134 0.4 0.4 0.6 0.2
## 135 0.8 1.0 0.2 0.0
## 136 1.0 0.8 0.6 0.8
## 137 0.6 0.6 0.4 0.4
## 138 0.6 1.0 0.2 -0.2
## 139 0.6 -0.4 0.2 -0.2
## 140 0.8 0.4 0.4 0.2
## 141 0.8 0.8 0.2 0.4
## 142 1.0 0.8 0.0 0.6
## 143 1.0 0.4 0.2 0.0
## 144 0.8 0.4 0.6 0.0
## 145 -0.2 0.2 0.4 0.2
## 146 0.6 0.8 0.4 0.2
## 147 0.8 0.8 0.4 0.0
## 148 0.4 0.4 0.4 -0.4
## 149 0.6 1.0 0.8 0.6
## 150 1.0 0.0 0.0 0.0
## 151 0.6 0.4 -0.4 0.6
## 152 0.8 0.4 0.2 0.0
## 153 1.0 0.8 0.8 0.4
## 154 1.0 0.8 0.4 0.6
## 155 0.8 0.6 0.4 0.6
## 156 0.6 0.4 -0.4 0.0
## 157 0.6 0.4 -0.2 0.0
## 158 0.4 0.4 -0.2 -0.4
## 159 0.8 0.2 0.6 0.0
## 160 0.0 0.6 0.4 -0.2
## 161 1.0 0.8 0.2 0.4
## 162 0.2 0.8 0.2 -0.2
## 163 1.0 0.4 0.0 0.0
## 164 0.4 0.2 0.4 -0.4
## 165 0.8 0.4 0.2 0.2
## 166 1.0 0.6 0.6 0.2
## 167 -0.2 0.2 0.2 0.4
## 168 0.8 0.4 0.2 0.2
## 169 0.8 1.0 0.0 0.2
## 170 0.4 0.4 0.6 0.0
## 171 1.0 0.8 0.4 0.6
## 172 1.0 0.8 0.4 0.2
## 173 1.0 0.8 0.0 0.0
## 174 0.4 0.2 0.0 0.0
## 175 0.4 0.2 0.0 0.2
## 176 0.6 0.8 0.6 0.0
## 177 0.6 0.6 0.6 0.0
## 178 0.6 1.0 0.4 -0.2
## 179 0.4 -0.2 -0.2 -0.2
## 180 0.2 0.6 -0.2 -0.2
## 181 0.8 0.4 -0.2 0.2
## 182 0.8 0.6 0.2 0.4
## 183 1.0 0.4 0.2 0.0
## 184 0.4 0.6 0.4 -0.2
## 185 0.6 1.0 0.6 0.2
## 186 0.6 0.6 -0.2 0.2
## 187 1.0 0.4 0.2 0.6
## 188 0.4 0.2 0.0 0.4
## 189 1.0 1.0 0.2 0.6
## 190 1.0 0.6 0.8 0.8
## 191 0.2 0.2 0.2 -0.4
## 192 1.0 1.0 1.0 0.8
## 193 0.8 0.4 0.0 0.2
## 194 0.6 0.6 0.0 -0.2
## 195 0.6 0.4 0.4 0.0
## 196 0.2 0.6 0.2 0.2
## 197 1.0 0.8 0.4 0.2
## 198 0.8 0.2 0.4 0.4
## 199 0.6 1.0 0.6 0.0
## 200 0.8 0.4 0.0 0.2
## 201 0.4 1.0 0.6 0.2
## 202 1.0 0.4 0.4 0.2
## 203 0.4 0.8 0.4 -0.6
## 204 1.0 0.6 0.2 0.4
## 205 0.6 0.2 0.4 0.0
## 206 1.0 0.0 -0.2 0.0
## 207 0.6 0.4 0.4 0.4
## 208 1.0 0.2 0.2 0.4
## 209 0.8 0.6 0.4 0.4
## 210 0.6 0.0 0.0 0.4
## 211 0.8 0.2 0.4 0.0
## 212 0.0 0.8 0.6 -0.8
## 213 1.0 0.8 1.0 0.6
## 214 0.4 0.8 0.4 0.2
## 215 1.0 0.4 0.4 0.4
## 216 0.8 1.0 0.4 0.8
## 217 0.8 0.8 0.6 -0.2
## 218 0.8 0.8 0.2 0.0
## 219 1.0 0.8 1.0 0.4
## 220 0.8 0.8 0.2 0.0
## 221 0.8 0.6 0.2 0.4
## 222 0.8 0.4 0.2 -0.2
## 223 0.4 1.0 0.2 0.0
## 224 0.6 0.8 0.2 -0.2
## 225 0.2 0.2 0.2 -0.2
## 226 0.8 0.6 0.4 0.4
## 227 0.4 1.0 0.6 0.2
## 228 1.0 0.4 0.0 0.6
## 229 0.6 0.6 0.0 0.2
## 230 0.6 0.6 0.0 0.6
## 231 0.4 0.4 0.2 0.0
## 232 0.6 0.0 0.2 -0.4
## 233 1.0 0.6 0.2 0.4
## 234 1.0 0.6 0.0 0.2
## 235 1.0 0.8 0.4 0.0
## 236 0.6 0.6 0.0 0.0
## 237 0.8 0.6 0.4 -0.2
## 238 0.8 -0.2 0.6 -0.2
## 239 0.8 0.4 0.2 0.0
## 240 0.4 0.2 0.0 0.4
## 241 1.0 0.6 0.4 0.2
## 242 1.0 0.6 -0.2 0.2
## 243 0.6 0.0 0.2 0.2
## 244 0.2 0.8 -0.2 -0.4
## 245 0.6 0.0 0.4 0.4
## 246 1.0 0.6 0.0 0.0
## 247 0.6 1.0 0.2 -0.4
## 248 0.4 0.8 0.4 0.0
## 249 1.0 -0.4 0.0 0.2
## 250 1.0 0.8 0.8 0.2
#Viewed data to ensure it was correct and renamed it to something
#quicker to type
master_QuadMax10_n250.csv <- read.csv("master_QuadMax10_n250.csv")
View(master_QuadMax10_n250.csv)
quadmax <- read.csv("master_QuadMax10_n250.csv")
#installed and loaded dplyr for cleaning data
#install.packages("dplyr")
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
#trimmed down data to the two variables I want to work with
#AGE is the age of participants
#hits_pair is the accuracy % that the subjects correctly identified
#a word pair on which they were previously taught
quadmax <- dplyr::select(quadmax, AGE, HITS_PAIR)
#checking what R thinks the class of each variable is.
lapply(quadmax,class)
## $AGE
## [1] "numeric"
##
## $HITS_PAIR
## [1] "numeric"
#installing naniar and loading the library to investigate my NA #data
#install.packages("naniar")
library(naniar)
#install.packages("psych")
library(psych)
#checking for missing data, my data looks good which does make
#sense because this is a dataset I got from my PI that already
#had NA variables taken care of
vis_miss(quadmax)
## Warning: `gather_()` was deprecated in tidyr 1.2.0.
## Please use `gather()` instead.
#finding the mean which is 0.86 for my HITS variable
mean(quadmax$HITS_PAIR)
## [1] 0.86
#finding the mean, which is 48.21 for my AGE variable
mean(quadmax$AGE)
## [1] 48.21815
#finding the median, which is 1 for my HITS variable
median(quadmax$HITS_PAIR)
## [1] 1
#finding the median, which is 48.8 for my AGE variable
median(quadmax$AGE)
## [1] 48.8
#now im going to look for the skew for my AGE variable
skew(quadmax$AGE, na.rm = TRUE, type =3)
## [1] -0.03379507
#my skew is -0.033
table(quadmax$HITS_PAIR)
##
## 0.2 0.4 0.6 0.8 1
## 4 12 30 63 141
#finding the mode for my AGE variable. I tried using a table but
#I have multiple modes and
#cannot count them all from the table.
table(quadmax$AGE)
##
## 18.89041096 19.31232877 19.70684932 20.15068493 20.64383562 21.06
## 1 1 1 1 1 1
## 21.24 21.3260274 21.78 22.18 22.31506849 22.4109589
## 1 1 1 1 1 1
## 22.47 22.78 23.02465753 23.03 23.79 23.93
## 1 1 1 1 1 1
## 24.07 24.21 24.28767123 24.51 24.87 24.89
## 1 1 1 1 1 1
## 24.92 25.28 25.29 25.33 25.49 25.64
## 1 1 1 1 1 1
## 25.68 25.70410959 25.82 26.03287671 26.07671233 26.18
## 1 1 1 1 1 1
## 26.33 26.36712329 26.7890411 26.9 26.9369863 27.02
## 1 1 1 1 1 1
## 27.18 27.3 27.64 28.17 28.26 28.3369863
## 1 1 1 1 1 1
## 28.34 28.59 28.62465753 28.64931507 28.79178082 29.31
## 1 1 1 1 1 1
## 29.92 30 30.13 30.15 30.45 30.59
## 1 1 1 1 1 1
## 31.55 31.58 31.88 31.98 32.08 32.17
## 1 1 1 1 1 2
## 32.35 32.37 32.66 32.72 32.81 33.27
## 1 1 1 1 1 1
## 33.99 34.24 34.88 34.93 36.39 36.49
## 1 1 1 1 1 1
## 36.56 36.63 36.69 36.81 37.28 37.47
## 1 1 2 1 1 1
## 37.5 37.93 38.01 38.54 38.67 39.03
## 1 1 1 1 1 1
## 39.11 39.37 39.6 40.29 40.73 40.96
## 1 1 1 1 2 1
## 41.01 41.61 41.66 42.04 42.39 42.75
## 1 1 1 1 1 1
## 42.92 42.95 43.03 43.19 43.29 43.9
## 1 1 1 1 1 1
## 44.08 44.41 44.69 44.78 45.12 45.15
## 1 1 1 1 1 2
## 45.44 46.63 46.87 47.71 48.2 48.38
## 1 1 1 1 1 1
## 48.49 49.11 49.14 49.67 49.84 49.94
## 1 1 1 1 1 1
## 49.99 50.75 51.45 52.05 52.45 52.74
## 1 1 1 1 1 1
## 52.84 52.85 52.95 53.78 53.96 54.22
## 1 1 1 1 1 1
## 54.73 55.48 56.56 56.68 56.84 56.96
## 1 1 1 1 1 1
## 57.09 57.12 57.28 57.78 57.99 58
## 1 1 1 1 1 1
## 58.15 58.61 58.9 58.91 59.02 59.06
## 1 1 1 1 1 1
## 59.22 59.27 59.43 59.53 59.54 59.55
## 1 1 1 1 2 1
## 59.69 59.86 60.09 60.31 60.41 60.57
## 1 1 1 1 1 1
## 61.34 61.56 61.6 61.62 61.73 61.9
## 1 1 1 1 1 1
## 61.95 62.13 62.15 62.2 62.53 62.54
## 1 1 1 1 1 1
## 63.3 63.34 63.65 63.7 63.85 64.48
## 1 1 1 1 1 1
## 64.91 64.97 65.18 65.19 65.37 65.75
## 1 1 1 1 1 1
## 65.9 65.98 66.39 67.05 67.08 67.41
## 1 1 1 1 1 1
## 67.64 67.72 67.9 68.24 68.42 68.77
## 1 1 1 1 1 1
## 68.87 69.1 69.12 69.52 69.53 69.58
## 1 1 1 1 1 1
## 69.59 69.63 69.68 69.75 69.77 69.95
## 1 1 1 1 1 1
## 69.99 70.06 70.13 70.27 70.68 70.8
## 1 1 1 1 1 1
## 70.94 71.24 71.32 71.35 71.39 71.42
## 1 1 1 2 1 1
## 71.81 71.84 72.94 72.99 73.74 73.88
## 1 1 1 1 1 1
## 74.26 75.06 75.57 76.87 77.23 77.3
## 1 1 1 1 1 1
## 77.32 77.35 77.87 78.09
## 1 1 1 1
#so I found another package that can show me my most frequent
#value 'mfv'
#install.packages("modeest")
library(modeest)
## Registered S3 method overwritten by 'rmutil':
## method from
## plot.residuals psych
mfv(quadmax$AGE)
## [1] 32.17 36.69 40.73 45.15 59.54 71.35
#My data has 6 modes, 32.17, 36.69, 40.73, 45.15, 59.54, 71.35
#installed and loaded the library stats to do measures of #variability
#install.packages("stats")
library(stats)
#finding variance which is 304.4497
var(quadmax$AGE)
## [1] 304.4497
#finding standard deviation which is 17.44
sd(quadmax$AGE)
## [1] 17.44849
#finding range which is 18.89 - 78.09
range(quadmax$AGE)
## [1] 18.89041 78.09000
#finding IQR which is 31.66
IQR(quadmax$AGE)
## [1] 31.6675
#viewing my data in a histogram. It looks okay but could be better
hist(quadmax$AGE)
#going through and changing my x and y limits, the color, and the
#axis names and title
hist(quadmax$AGE,
main="Participant Age",
xlab="Age ",
border="navy",
col="green",
xlim=c(0,100),
ylim=c(0,40))
#looks better!
#added my citations to my word document
citation()
##
## To cite R in publications use:
##
## R Core Team (2022). R: A language and environment for statistical
## computing. R Foundation for Statistical Computing, Vienna, Austria.
## URL https://www.R-project.org/.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {R: A Language and Environment for Statistical Computing},
## author = {{R Core Team}},
## organization = {R Foundation for Statistical Computing},
## address = {Vienna, Austria},
## year = {2022},
## url = {https://www.R-project.org/},
## }
##
## We have invested a lot of time and effort in creating R, please cite it
## when using it for data analysis. See also 'citation("pkgname")' for
## citing R packages.
citation(package ="dplyr")
##
## To cite package 'dplyr' in publications use:
##
## Wickham H, François R, Henry L, Müller K (2022). _dplyr: A Grammar of
## Data Manipulation_. R package version 1.0.10,
## <https://CRAN.R-project.org/package=dplyr>.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {dplyr: A Grammar of Data Manipulation},
## author = {Hadley Wickham and Romain François and Lionel Henry and Kirill Müller},
## year = {2022},
## note = {R package version 1.0.10},
## url = {https://CRAN.R-project.org/package=dplyr},
## }
citation(package ="naniar")
##
## To cite package 'naniar' in publications use:
##
## Tierney N, Cook D, McBain M, Fay C (2021). _naniar: Data Structures,
## Summaries, and Visualisations for Missing Data_. R package version
## 0.6.1, <https://CRAN.R-project.org/package=naniar>.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {naniar: Data Structures, Summaries, and Visualisations for Missing Data},
## author = {Nicholas Tierney and Di Cook and Miles McBain and Colin Fay},
## year = {2021},
## note = {R package version 0.6.1},
## url = {https://CRAN.R-project.org/package=naniar},
## }
citation(package ="modeest")
##
## To cite package 'modeest' in publications use:
##
## Poncet P (2019). _modeest: Mode Estimation_. R package version 2.4.0,
## <https://CRAN.R-project.org/package=modeest>.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {modeest: Mode Estimation},
## author = {Paul Poncet},
## year = {2019},
## note = {R package version 2.4.0},
## url = {https://CRAN.R-project.org/package=modeest},
## }
citation(package = "stats")
##
## The 'stats' package is part of R. To cite R in publications use:
##
## R Core Team (2022). R: A language and environment for statistical
## computing. R Foundation for Statistical Computing, Vienna, Austria.
## URL https://www.R-project.org/.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {R: A Language and Environment for Statistical Computing},
## author = {{R Core Team}},
## organization = {R Foundation for Statistical Computing},
## address = {Vienna, Austria},
## year = {2022},
## url = {https://www.R-project.org/},
## }
##
## We have invested a lot of time and effort in creating R, please cite it
## when using it for data analysis. See also 'citation("pkgname")' for
## citing R packages.
citation(package = "psych")
##
## To cite the psych package in publications use:
##
## Revelle, W. (2022) psych: Procedures for Personality and
## Psychological Research, Northwestern University, Evanston, Illinois,
## USA, https://CRAN.R-project.org/package=psych Version = 2.2.9.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {psych: Procedures for Psychological, Psychometric, and Personality Research},
## author = {William Revelle},
## organization = { Northwestern University},
## address = { Evanston, Illinois},
## year = {2022},
## note = {R package version 2.2.9},
## url = {https://CRAN.R-project.org/package=psych},
## }