R Markdown
#began by setting working directory, creating a chunk, and reading in data
read.csv("master_QuadMax10_n250_V2.csv")
## SUBJECTS AGE GENDER SEX Do.you.have.concerns.about.your.memory.
## 1 A3LKPH6ISMWLJR 18.89041 M 1 Y
## 2 A1BZLPYW3YGUWZ 19.31233 F 0 Y
## 3 A21GA1OKQTL190 19.70685 F 0 Y
## 4 A2SO4O8XWUGS4A 20.15068 M 1 N
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## 6 AXFBMLZKWVX1R 21.06000 M 1 N
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## 11 A3LL4VC2KFYZOJ 22.31507 F 0 N
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## 32 ANXIYA9KKTO2Y 25.70411 F 0 Y
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## 54 A2Y87M8V0N1M6P 29.31000 F 0 N
## 55 ADP1QUGXHGJRS 29.92000 M 1 N
## 56 A108TIBAENZAFI 30.00000 M 1 N
## 57 A3CI73EFDLS3OF 30.13000 F 0 Y
## 58 A5M975UINIFLU 30.15000 F 0 N
## 59 AGILQEFEPEK7N 30.45000 M 1 Y
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## 65 A39VZ93N96XB6O 32.08000 F 0 N
## 66 A34VLM2UC0JY11 32.17000 F 0 Y
## 67 A2OPYRV3GLAPS1 32.17000 M 1 Y
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## 71 A3HGZDLMCKGPSE 32.72000 M 1 N
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## 75 A8A9DUD87SMQ9 34.24000 F 0 Y
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## 82 A1INS1BWU3S0NQ 36.69000 F 0 Y
## 83 A1710X6OIQP62Q 36.69000 F 0 N
## 84 A3NFGEUZAH9V5G 36.81000 M 1 Y
## 85 A2OFN0A5CPLH57 37.28000 F 0 N
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## 88 A87D3K9YVKTQ7 37.93000 F 0 N
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## 90 A3GHLKX4ZUSJH0 38.54000 F 0 Y
## 91 A18RZQ35649XKD 38.67000 F 0 N
## 92 A3B8CHEB2ZS31K 39.03000 M 1 Y
## 93 A3UN1F1EOHKKE6 39.11000 M 1 N
## 94 A1XH5P1RMV9GPQ 39.37000 F 0 Y
## 95 A1DZMZTXWOM9MR 39.60000 M 1 Y
## 96 A39MTR3ER9GLBF 40.29000 F 0 N
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## 98 A1CE3DR200PXSS 40.73000 F 0 N
## 99 A7O82NXM2PI12 40.96000 M 1 N
## 100 A1TPGXT718D68E 41.01000 F 0 Y
## 101 A1CFMY4CEYOM8Y 41.61000 M 1 Y
## 102 A1BNEJ2Q76JNF3 41.66000 M 1 N
## 103 A237O646ZJ1SFW 42.04000 F 0 Y
## 104 A1VVR9MA1P9HWJ 42.39000 F 0 N
## 105 A22BBAU24IEHPL 42.75000 M 1 Y
## 106 A2EXM21XS6NZV5 42.92000 M 1 Y
## 107 A2MCRVU8I9VNHG 42.95000 M 1 Y
## 108 A302KOFOYLD89A 43.03000 F 0 N
## 109 A1LENHSFWGC5EU 43.19000 M 1 N
## 110 A1M64R8HPYNNZA 43.29000 M 1 Y
## 111 A2BHZNAKEDRYCB 43.90000 F 0 N
## 112 A27SRSSZ8JXUHM 44.08000 M 1 Y
## 113 A1PJUYJ7W2LKKQ 44.41000 M 1 N
## 114 A3DS5B06ZCD3E3 44.69000 M 1 Y
## 115 A311QKIQ0I2071 44.78000 M 1 N
## 116 A21Q7FCKM86VL8 45.12000 M 1 Y
## 117 A3DUPRZSMU9W5R 45.15000 F 0 N
## 118 A1H1TKK54YG94Q 45.15000 M 1 N
## 119 AYHK8DTZONHKC 45.44000 M 1 Y
## 120 A12H4QENEVBRSB 46.63000 F 0 N
## 121 A2OVX9UW5WANQE 46.87000 F 0 Y
## 122 A1FG2G9TZSDN 47.71000 F 0 Y
## 123 A55CXM7QR7R0N 48.20000 F 0 Y
## 124 A2A7R0WEEFC3OX 48.38000 M 1 N
## 125 A314XJY8V1YL12 48.49000 F 0 N
## 126 A8ZUM922CBH6S 49.11000 M 1 N
## 127 A2DC6TG86OSCRK 49.14000 F 0 Y
## 128 A2CTCKTL2LL5V 49.67000 F 0 Y
## 129 A2ALYW6W16PUYQ 49.84000 F 0 Y
## 130 A3GWRDHAURRNK6 49.94000 M 1 N
## 131 A36WN1T2MQ6W38 49.99000 M 1 N
## 132 A2EPBSY0VPI38S 50.75000 F 0 Y
## 133 A3EYRDEQ7CXUMN 51.45000 M 1 N
## 134 A377LTGWJKY2IW 52.05000 F 0 Y
## 135 ACGGIBC0P38HU 52.45000 M 1 N
## 136 A2N9U74YIPDQ9F 52.74000 F 0 Y
## 137 A1IL81UMEC9OJI 52.84000 M 1 N
## 138 A49A0FF6ZXYDU 52.85000 F 0 Y
## 139 A2Y0WNHMT4PZ4C 52.95000 M 1 Y
## 140 A25FH7PXC446RG 53.78000 F 0 Y
## 141 A1WNE8XK0EBAMP 53.96000 M 1 N
## 142 A2OX8TSRCU6NKD 54.22000 F 0 Y
## 143 ALK9XZBTNDAUH 54.73000 F 0 N
## 144 A1O57XVTTB1PNZ 55.48000 F 0 Y
## 145 A3SLXLALO5SQXY 56.56000 M 1 N
## 146 A37XJVQF62ZYC 56.68000 M 1 Y
## 147 AUDAL9HYHCY34 56.84000 M 1 N
## 148 A3PRFA3M7OSCT5 56.96000 F 0 Y
## 149 A26RO8GGTQAXGG 57.09000 F 0 N
## 150 APDDA1Y59RHV9 57.12000 F 0 Y
## 151 AX4QV62HBKJ34 57.28000 M 1 N
## 152 A249EWKM1EOARK 57.78000 F 0 N
## 153 A3FBC5W56LKQXL 57.99000 F 0 Y
## 154 A3MELYYGRJ61SX 58.00000 F 0 N
## 155 A31Y2UA2LPDSWZ 58.15000 M 1 Y
## 156 AM0QVBV8L6QCJ 58.61000 M 1 N
## 157 A121T4P5NKCHCS 58.90000 M 1 N
## 158 A2X823PACMMOKP 58.91000 F 0 N
## 159 AAW7FTFH4276B 59.02000 F 0 Y
## 160 A2FV2TYREMZNGD 59.06000 F 0 Y
## 161 A6T4OHCY5WVVD 59.22000 M 1 Y
## 162 A10JXOU89D5RXR 59.27000 F 0 N
## 163 A2I37S7GQR6X1H 59.43000 M 1 Y
## 164 A27T2G69VP68YP 59.53000 M 1 N
## 165 A1BB4DMPN1GY00 59.54000 F 0 Y
## 166 A1H2Y2PDEQ7OWT 59.54000 F 0 N
## 167 A2GR2RSG0YZOYY 59.55000 M 1 Y
## 168 AL90GN96DMQB8 59.69000 M 1 N
## 169 A1CZ2GB5LZ9O5H 59.86000 F 0 Y
## 170 A23HANYTQPADUC 60.09000 M 1 N
## 171 A1YX741QQSMKPS 60.31000 M 1 Y
## 172 A371H3PQPR2Z8J 60.41000 M 1 N
## 173 A30VLIFQPJZ17P 60.57000 F 0 Y
## 174 AKTQD9Y44G495 61.34000 F 0 N
## 175 A26ZENZ5G8AEGM 61.56000 21 18 Y
## 176 A3HSONMX6LNZR4 61.60000 M 1 Y
## 177 A3ROYUO9LWA22S 61.62000 F 0 Y
## 178 A2ZAL0HAIBS9QH 61.73000 M 1 Y
## 179 A39IEKRAOTJTD7 61.90000 F 0 N
## 180 A3KU7DD8Q1NQ7P 61.95000 M 1 N
## 181 A169WH54HMYS5Z 62.13000 F 0 N
## 182 A8GD33ZJ1SAA5 62.15000 F 0 Y
## 183 A2L73JKDFWI0KJ 62.20000 F 0 Y
## 184 A6FDO4NJS24RK 62.53000 M 1 Y
## 185 A2VNSNAN1LZBAM 62.54000 F 0 N
## 186 A37SLQRKOALNV6 63.30000 M 1 Y
## 187 A1H3BDWBMB63W4 63.34000 O 18 Y
## 188 A2VN8Q8X7WWIM 63.65000 M 1 N
## 189 A21ZIB3KHPF0YF 63.70000 M 1 Y
## 190 A3AA1L892OJ81M 63.85000 F 0 Y
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## 192 AEQ95NMC3VXQ5 64.91000 F 0 N
## 193 A1DKS1KI6S93HF 64.97000 M 1 Y
## 194 A1LDO8EYGXOA9D 65.18000 M 1 N
## 195 A2I3IM3RJO2OL0 65.19000 F 0 Y
## 196 AL7UTA8J27TFK 65.37000 M 1 N
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## 198 A2NKE99I9M8EP3 65.90000 M 1 N
## 199 A24EAYGSHOXEGP 65.98000 F 0 Y
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## 203 A1I6LWJWGKXOUU 67.41000 M 1 Y
## 204 A8E7IOAZRC2IC 67.64000 M 1 N
## 205 AQDRYJ6FNKW9D 67.72000 M 1 Y
## 206 A1KOHXO0BIQB8T 67.90000 M 1 N
## 207 A32CJGO1ARXLE8 68.24000 M 1 N
## 208 A34L4JED8UAIXC 68.42000 M 1 Y
## 209 A36PRTZFECB76C 68.77000 F 0 Y
## 210 A4LIJVRU6DG61 68.87000 M 1 Y
## 211 A10L7F2V8368DO 69.10000 F 0 Y
## 212 A9XX3BUUML3ST 69.12000 F 0 N
## 213 A16L21AR8X012 69.52000 F 0 N
## 214 A38XRCVYVF4A31 69.53000 M 1 N
## 215 AYXN53TNFG71P 69.58000 F 0 Y
## 216 A221J0YB28SBLI 69.59000 F 0 Y
## 217 AHZ5YRRIRTLJG 69.63000 F 0 N
## 218 A28VRECAUOO7U9 69.68000 F 0 Y
## 219 AHSXMZBNS9BPA 69.75000 F 0 N
## 220 A3RNYHTTJZ6JUP 69.77000 F 0 Y
## 221 A13CXQGLSH6QY8 69.95000 F 0 N
## 222 A2H1QUGX0SOUMH 69.99000 M 1 Y
## 223 A1XDNR8GKQWCOG 70.06000 F 0 N
## 224 A3RT82GOZ3OGJO 70.13000 M 1 Y
## 225 A3PGG36FKY8QP 70.27000 M 1 N
## 226 A2R75YFKVALBXE 70.68000 M 1 Y
## 227 A2APG8MSLJ6G2K 70.80000 F 0 N
## 228 A14ADQ7RUN6TDY 70.94000 M 1 Y
## 229 A306ROVVFUVWRN 71.24000 M 1 Y
## 230 A36B9OFG2QJTM7 71.32000 F 0 Y
## 231 A2O2O2X7PGR8XW 71.35000 M 1 N
## 232 A1WMOJNU4FFQY8 71.35000 M 1 Y
## 233 AR55GGUU5JWWS 71.39000 F 0 N
## 234 A1BK15QBL5758M 71.42000 F 0 Y
## 235 A1BNGJBEWJS8WE 71.81000 F 0 N
## 236 A2N9AKAOR17XB3 71.84000 M 1 Y
## 237 A3PT6YF2OZRSKX 72.94000 F 0 N
## 238 A1DY5XUPK5A7MZ 72.99000 F 0 Y
## 239 A396U3HHP2ECZI 73.74000 F 0 N
## 240 A319HPP13ZAEMG 73.88000 M 1 Y
## 241 AV0LIAO8E356J 74.26000 F 0 N
## 242 AMVBT3XDCQBHI 75.06000 M 1 Y
## 243 A139701FEHQMJ7 75.57000 F 0 N
## 244 A24NKUCAX1LURL 76.87000 F 0 Y
## 245 AKISVGHDC6WFN 77.23000 F 0 N
## 246 A1US1UNHW59ESW 77.30000 F 0 Y
## 247 A3RXXEVLEAM53M 77.32000 F 0 N
## 248 A1PR5LB62EVYAP 77.35000 M 1 Y
## 249 A29ILQO8285XX 77.87000 F 0 N
## 250 A1T429RLLFTG35 78.09000 M 1 Y
## LOE HITS_PAIR HITS_TRIP HITS_QUAD rFA_PAIR rFA_TRIP rFA_QUAD nFA_PAIR
## 1 12 0.8 0.6 0.4 0.0 0.0 0.0 0.0
## 2 13 0.6 1.0 1.0 0.2 0.0 0.6 0.2
## 3 15 0.8 0.8 0.8 0.2 0.4 0.6 0.0
## 4 14 0.6 1.0 0.6 0.8 0.6 0.6 0.2
## 5 14 0.8 0.8 0.8 0.0 0.0 0.6 0.0
## 6 12 1.0 0.8 0.4 0.6 0.4 1.0 0.4
## 7 14 1.0 0.8 1.0 0.0 0.4 0.2 0.0
## 8 16 0.6 0.4 0.6 0.0 0.6 0.8 0.2
## 9 14 0.8 0.4 0.8 0.6 0.4 0.8 0.2
## 10 16 0.6 0.8 0.6 0.2 0.4 0.4 0.0
## 11 15 0.6 0.6 0.6 0.0 0.2 0.2 0.2
## 12 16 0.8 0.6 0.6 0.8 0.4 0.8 0.6
## 13 16 0.8 0.8 1.0 0.2 0.4 1.0 0.0
## 14 16 1.0 0.8 1.0 0.0 0.0 1.0 0.0
## 15 13 0.6 0.4 0.6 0.2 0.4 0.0 0.0
## 16 12 1.0 0.8 1.0 0.2 0.6 0.4 0.0
## 17 12 1.0 0.8 0.8 0.0 0.0 0.6 0.0
## 18 16 0.8 0.8 1.0 0.2 0.6 0.4 0.2
## 19 14 1.0 0.8 1.0 0.0 0.2 0.6 0.0
## 20 12 0.8 0.8 0.6 0.4 0.6 0.6 0.2
## 21 13 1.0 0.4 0.8 0.2 0.2 0.6 0.4
## 22 12 1.0 1.0 1.0 0.0 0.0 0.0 0.0
## 23 14 0.8 0.4 0.4 0.2 0.0 0.0 0.0
## 24 18 1.0 0.8 0.8 0.0 0.0 0.2 0.0
## 25 12 1.0 0.2 0.6 0.2 0.0 0.4 0.2
## 26 12 1.0 0.4 0.6 0.2 0.4 0.2 0.0
## 27 12 1.0 0.6 0.4 0.4 0.2 0.4 0.0
## 28 16 1.0 1.0 1.0 0.0 0.4 0.2 0.0
## 29 16 0.4 0.4 0.8 0.2 0.0 0.0 0.2
## 30 16 1.0 1.0 0.8 0.0 0.0 0.4 0.0
## 31 17 0.8 0.6 0.8 0.6 0.4 0.6 0.2
## 32 16 1.0 0.2 0.2 0.2 0.2 0.0 0.0
## 33 16 1.0 0.6 1.0 0.2 0.2 0.4 0.2
## 34 12 0.8 0.6 0.2 0.4 0.8 0.6 0.2
## 35 14 0.8 0.2 0.8 0.2 0.2 0.8 0.2
## 36 14 1.0 0.8 1.0 0.0 0.0 0.4 0.0
## 37 18 0.8 1.0 0.8 0.4 0.4 0.2 0.0
## 38 16 0.8 0.8 0.8 0.0 0.2 0.2 0.0
## 39 14 1.0 0.6 0.4 1.0 0.6 0.6 0.0
## 40 12 1.0 0.6 0.8 0.2 0.2 0.8 0.0
## 41 20 1.0 0.8 1.0 0.2 0.0 0.4 0.0
## 42 16 1.0 1.0 0.4 0.6 0.6 0.8 0.4
## 43 16 1.0 0.6 0.6 0.2 0.0 1.0 0.0
## 44 16 0.8 0.4 0.6 1.0 0.4 0.8 0.2
## 45 16 0.4 0.4 0.8 0.4 0.4 0.2 0.0
## 46 12 1.0 1.0 1.0 0.0 0.0 0.0 0.0
## 47 16 1.0 0.8 0.8 0.0 0.2 0.4 0.0
## 48 16 1.0 1.0 1.0 0.4 0.6 0.6 0.0
## 49 18 0.8 0.6 0.8 0.0 0.2 1.0 0.0
## 50 21 1.0 1.0 0.4 0.2 0.2 0.8 0.0
## 51 12 1.0 0.8 0.8 0.2 0.4 0.8 0.0
## 52 16 0.2 0.6 1.0 0.4 0.2 0.8 0.0
## 53 16 1.0 0.8 0.8 0.8 0.8 0.8 0.0
## 54 13 0.6 0.4 0.8 0.2 0.2 0.6 0.0
## 55 16 0.6 0.2 0.8 0.2 0.4 0.2 0.0
## 56 18 0.6 0.2 0.6 0.4 0.4 0.4 0.0
## 57 18 0.4 0.6 0.6 0.2 0.2 0.2 0.0
## 58 14 1.0 0.4 0.6 0.2 0.6 0.6 0.0
## 59 16 0.8 0.8 0.6 0.6 0.0 0.2 0.2
## 60 14 1.0 0.8 0.4 0.0 0.0 0.0 0.0
## 61 14 1.0 1.0 1.0 0.0 0.0 0.6 0.0
## 62 16 0.8 0.4 0.8 0.0 0.0 0.4 0.0
## 63 18 1.0 0.8 1.0 0.8 0.6 0.8 0.2
## 64 16 0.4 0.6 1.0 0.4 0.4 0.6 0.2
## 65 18 1.0 0.8 0.8 0.4 0.8 1.0 0.0
## 66 16 1.0 0.6 1.0 0.2 0.8 0.8 0.0
## 67 18 1.0 1.0 0.6 0.0 0.2 0.0 0.0
## 68 14 0.8 0.4 1.0 0.0 0.4 0.6 0.0
## 69 13 0.8 0.6 0.6 0.4 0.8 1.0 0.0
## 70 18 1.0 1.0 1.0 0.0 0.0 0.0 0.0
## 71 14 0.4 0.8 0.6 0.8 0.6 0.4 0.0
## 72 18 1.0 0.8 0.8 0.2 0.2 0.6 0.2
## 73 16 1.0 1.0 1.0 0.4 0.8 0.6 0.2
## 74 16 1.0 1.0 1.0 0.2 0.6 0.8 0.0
## 75 16 1.0 1.0 0.8 0.0 0.0 0.2 0.0
## 76 16 1.0 0.6 0.8 0.4 0.2 0.6 0.0
## 77 16 1.0 0.8 0.8 0.4 0.0 0.8 0.0
## 78 18 1.0 1.0 0.4 0.6 0.6 1.0 0.0
## 79 16 1.0 1.0 0.8 0.2 0.4 0.6 0.0
## 80 14 1.0 1.0 1.0 0.8 0.8 1.0 0.4
## 81 16 1.0 0.8 0.6 0.0 0.0 0.0 0.0
## 82 18 1.0 0.6 1.0 0.2 0.2 0.8 0.0
## 83 15 0.6 1.0 0.4 0.0 0.2 0.8 0.0
## 84 14 0.6 0.6 0.4 0.8 0.8 0.8 0.4
## 85 16 0.8 0.8 1.0 0.4 0.2 0.8 0.0
## 86 16 0.6 0.8 1.0 0.2 0.0 0.4 0.0
## 87 16 1.0 0.6 0.6 0.0 0.4 0.6 0.4
## 88 16 0.6 0.4 0.8 0.0 0.6 1.0 0.0
## 89 14 1.0 0.4 0.2 0.2 0.2 0.2 0.0
## 90 16 0.8 0.8 1.0 0.4 0.6 0.8 0.0
## 91 17 1.0 0.6 1.0 0.0 0.0 0.2 0.0
## 92 11 1.0 0.8 1.0 0.4 0.8 0.6 0.0
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## 94 15 1.0 1.0 0.6 0.2 0.2 0.6 0.0
## 95 12 1.0 0.8 1.0 0.6 0.2 0.6 0.0
## 96 16 1.0 0.6 0.6 0.4 0.4 0.2 0.0
## 97 16 1.0 1.0 1.0 0.2 0.6 1.0 0.0
## 98 16 1.0 1.0 1.0 0.4 0.4 0.8 0.0
## 99 16 1.0 0.8 1.0 0.0 0.6 0.8 0.0
## 100 17 1.0 0.8 0.8 0.0 0.4 0.2 0.0
## 101 15 1.0 0.4 0.4 0.2 0.8 0.8 0.2
## 102 12 1.0 1.0 1.0 0.2 0.0 0.2 0.0
## 103 18 1.0 1.0 0.4 0.4 1.0 0.8 0.0
## 104 18 1.0 0.8 0.8 0.2 0.6 0.8 0.0
## 105 12 0.4 0.2 0.8 0.4 1.0 0.4 0.2
## 106 18 0.8 1.0 0.8 0.4 0.4 0.6 0.0
## 107 12 0.8 0.4 0.8 0.6 0.0 1.0 0.0
## 108 12 0.8 0.8 0.8 0.0 0.0 0.4 0.2
## 109 18 1.0 1.0 0.8 0.4 0.6 0.6 0.0
## 110 16 1.0 0.6 0.8 0.2 1.0 0.8 0.4
## 111 16 1.0 1.0 1.0 0.2 0.8 0.2 0.0
## 112 16 1.0 1.0 1.0 0.2 0.4 0.2 0.0
## 113 16 1.0 0.8 0.4 1.0 0.6 1.0 0.4
## 114 12 1.0 1.0 1.0 0.0 0.0 0.2 0.0
## 115 18 0.2 0.4 0.2 0.0 0.0 0.4 0.0
## 116 16 0.8 0.2 0.4 0.2 0.2 0.8 0.0
## 117 16 1.0 1.0 1.0 0.0 0.2 0.0 0.0
## 118 16 0.6 0.8 0.6 0.2 0.2 0.6 0.0
## 119 16 0.6 0.0 0.6 0.8 0.6 1.0 0.2
## 120 16 0.8 1.0 1.0 0.2 0.6 0.6 0.0
## 121 12 1.0 0.6 0.4 0.0 0.2 0.2 0.0
## 122 16 1.0 1.0 1.0 0.2 0.0 0.6 0.0
## 123 12 0.6 0.4 0.8 0.2 0.4 0.8 0.2
## 124 16 0.6 0.6 0.4 1.0 0.8 1.0 0.0
## 125 18 1.0 1.0 1.0 0.4 0.4 0.6 0.0
## 126 12 1.0 0.8 1.0 0.2 0.4 0.8 0.6
## 127 18 0.8 1.0 0.8 0.2 0.4 0.8 0.0
## 128 16 1.0 0.6 0.4 0.0 0.4 1.0 0.0
## 129 12 0.8 0.6 0.6 0.0 0.0 0.8 0.0
## 130 16 1.0 0.8 0.6 0.0 0.2 0.2 0.0
## 131 12 0.4 0.2 0.8 0.0 0.6 0.8 0.4
## 132 16 1.0 1.0 0.6 0.2 0.6 0.4 0.0
## 133 16 1.0 0.8 1.0 0.2 0.8 0.6 0.0
## 134 14 0.6 0.8 0.4 0.2 0.2 0.2 0.0
## 135 12 1.0 0.8 0.8 0.0 0.6 0.8 0.0
## 136 16 1.0 0.8 1.0 0.2 0.2 0.2 0.0
## 137 16 0.8 0.4 0.6 0.2 0.0 0.2 0.0
## 138 16 1.0 0.6 0.8 0.0 0.4 1.0 0.0
## 139 12 0.6 1.0 0.6 1.0 0.8 0.8 0.2
## 140 16 1.0 1.0 1.0 0.6 0.6 0.8 0.0
## 141 16 0.8 0.8 0.8 0.0 0.6 0.4 0.2
## 142 18 1.0 0.4 1.0 0.2 0.4 0.4 0.0
## 143 14 0.8 1.0 1.0 0.4 0.8 1.0 0.0
## 144 16 1.0 0.6 1.0 0.6 0.0 1.0 0.0
## 145 16 0.8 1.0 0.4 0.6 0.6 0.2 0.2
## 146 14 0.8 0.6 0.6 0.0 0.2 0.4 0.0
## 147 16 1.0 1.0 0.8 0.2 0.6 0.8 0.0
## 148 17 1.0 0.8 0.4 0.6 0.4 0.8 0.0
## 149 16 1.0 0.8 0.6 0.0 0.0 0.0 0.0
## 150 13 1.0 1.0 1.0 1.0 1.0 1.0 0.2
## 151 21 0.4 0.4 0.8 0.0 0.8 0.2 0.0
## 152 12 1.0 1.0 1.0 0.6 0.8 1.0 0.2
## 153 18 1.0 1.0 1.0 0.2 0.2 0.6 0.2
## 154 16 1.0 0.8 1.0 0.2 0.4 0.4 0.0
## 155 21 0.6 0.6 0.8 0.0 0.2 0.2 0.0
## 156 18 0.8 0.2 0.6 0.4 0.6 0.6 0.0
## 157 13 0.8 0.8 0.6 0.4 1.0 0.6 0.0
## 158 18 0.6 0.4 0.4 0.2 0.6 0.8 0.0
## 159 18 0.6 0.6 0.8 0.4 0.0 0.8 0.0
## 160 16 1.0 0.4 0.0 0.4 0.0 0.2 0.2
## 161 15 1.0 0.8 1.0 0.2 0.6 0.6 0.0
## 162 16 1.0 0.6 0.2 0.2 0.4 0.4 0.0
## 163 18 1.0 0.8 1.0 0.6 0.8 1.0 0.0
## 164 18 0.8 0.6 0.6 0.6 0.2 1.0 0.0
## 165 13 0.6 0.8 1.0 0.2 0.6 0.8 0.2
## 166 12 0.8 1.0 1.0 0.2 0.4 0.8 0.0
## 167 16 0.4 0.8 0.6 0.2 0.6 0.2 0.4
## 168 16 0.6 0.8 1.0 0.2 0.6 0.8 0.2
## 169 12 1.0 0.6 0.8 0.0 0.6 0.6 0.0
## 170 12 1.0 0.8 0.8 0.6 0.2 0.8 0.6
## 171 16 1.0 0.8 1.0 0.2 0.4 0.4 0.0
## 172 15 0.8 1.0 1.0 0.0 0.6 0.8 0.0
## 173 16 0.8 0.8 1.0 0.0 0.8 1.0 0.0
## 174 16 1.0 1.0 1.0 0.8 1.0 1.0 0.0
## 175 1 0.2 0.0 0.4 0.0 0.0 0.2 0.0
## 176 18 1.0 1.0 0.6 0.2 0.4 0.6 0.0
## 177 12 1.0 0.8 0.8 0.4 0.2 0.8 0.2
## 178 18 1.0 0.6 0.6 0.0 0.2 0.8 0.0
## 179 12 0.6 0.4 0.6 0.8 0.6 0.8 0.2
## 180 14 1.0 0.4 0.2 0.4 0.6 0.4 0.0
## 181 14 1.0 0.6 0.8 0.6 0.8 0.6 0.0
## 182 15 1.0 0.6 0.8 0.4 0.4 0.4 0.0
## 183 15 1.0 1.0 1.0 0.6 0.8 1.0 0.0
## 184 16 1.0 0.8 0.4 0.4 0.4 0.6 0.0
## 185 12 1.0 1.0 0.6 0.0 0.4 0.4 0.0
## 186 13 1.0 0.4 0.6 0.4 0.6 0.4 0.0
## 187 60s 0.8 0.8 1.0 0.4 0.6 0.4 0.2
## 188 14 0.4 0.0 0.4 0.2 0.0 0.0 0.0
## 189 15 1.0 0.6 1.0 0.0 0.4 0.4 0.0
## 190 16 0.8 1.0 1.0 0.2 0.2 0.2 0.0
## 191 16 0.8 0.6 0.2 0.6 0.4 0.6 0.2
## 192 15 1.0 1.0 1.0 0.0 0.0 0.2 0.0
## 193 16 1.0 0.8 0.8 0.6 0.8 0.6 0.4
## 194 16 1.0 0.6 0.6 0.4 0.6 0.8 0.0
## 195 16 1.0 1.0 1.0 0.6 0.6 1.0 1.0
## 196 17 0.8 0.4 0.2 0.2 0.2 0.0 0.0
## 197 18 0.8 1.0 1.0 0.0 0.6 0.8 0.0
## 198 18 0.8 0.8 1.0 0.6 0.4 0.6 0.0
## 199 16 1.0 0.6 0.6 0.0 0.0 0.6 0.2
## 200 12 1.0 1.0 0.8 0.6 1.0 0.6 0.2
## 201 18 1.0 0.6 0.4 0.0 0.0 0.2 0.0
## 202 16 1.0 0.6 1.0 0.6 0.2 0.8 0.0
## 203 16 0.8 0.6 0.4 0.0 0.2 1.0 0.0
## 204 13 0.8 0.8 1.0 0.2 0.6 0.6 0.0
## 205 18 1.0 0.6 0.6 0.8 0.2 0.6 0.0
## 206 12 1.0 0.4 1.0 1.0 0.6 1.0 0.0
## 207 21 0.8 0.8 0.6 0.4 0.4 0.2 0.0
## 208 17 0.6 0.8 1.0 0.4 0.6 0.6 0.0
## 209 16 1.0 0.8 1.0 0.4 0.4 0.6 0.2
## 210 12 1.0 0.8 1.0 1.0 0.8 0.6 0.4
## 211 14 0.8 1.0 0.8 0.6 0.6 0.8 0.0
## 212 16 0.8 0.8 0.0 0.0 0.2 0.8 0.0
## 213 14 1.0 1.0 1.0 0.2 0.0 0.4 0.0
## 214 16 0.8 0.6 0.4 0.0 0.2 0.2 0.0
## 215 13 0.6 0.8 1.0 0.2 0.4 0.6 0.0
## 216 16 1.0 0.8 0.8 0.0 0.4 0.0 0.0
## 217 15 1.0 0.6 0.8 0.2 0.0 1.0 0.0
## 218 12 0.8 0.4 0.8 0.0 0.2 0.8 0.0
## 219 16 1.0 1.0 1.0 0.2 0.0 0.6 0.0
## 220 17 0.8 0.8 0.8 0.0 0.6 0.8 0.0
## 221 14 1.0 0.8 0.8 0.4 0.6 0.4 0.0
## 222 16 1.0 1.0 0.8 0.6 0.8 1.0 0.0
## 223 18 1.0 0.6 0.6 0.0 0.4 0.6 0.2
## 224 12 1.0 0.6 0.6 0.2 0.4 0.8 0.0
## 225 12 0.4 0.2 0.2 0.2 0.0 0.4 0.0
## 226 18 0.8 0.8 0.8 0.2 0.4 0.4 0.0
## 227 14 1.0 0.8 0.4 0.0 0.2 0.2 0.0
## 228 16 1.0 0.8 1.0 0.6 0.8 0.4 0.0
## 229 16 1.0 0.8 0.8 0.4 0.8 0.6 0.0
## 230 18 1.0 0.6 0.6 0.4 0.6 0.0 0.0
## 231 18 0.8 1.0 1.0 0.4 0.8 1.0 0.2
## 232 16 0.8 0.8 0.6 0.8 0.6 1.0 0.2
## 233 18 0.8 0.8 1.0 0.2 0.6 0.6 0.0
## 234 13 0.8 0.6 1.0 0.2 0.6 0.8 0.0
## 235 12 1.0 1.0 1.0 0.2 0.6 1.0 0.0
## 236 13 1.0 0.6 0.6 0.4 0.6 0.6 0.0
## 237 12 0.8 0.8 0.8 0.2 0.4 1.0 0.0
## 238 18 0.8 1.0 0.8 1.0 0.4 1.0 0.2
## 239 12 0.6 1.0 0.8 0.2 0.8 0.8 0.0
## 240 18 0.6 0.4 0.6 0.4 0.4 0.2 0.2
## 241 12 0.8 1.0 1.0 0.2 0.6 0.8 0.0
## 242 13 1.0 0.6 1.0 0.4 0.8 0.8 0.0
## 243 16 0.4 0.8 1.0 0.4 0.6 0.8 0.0
## 244 12 1.0 0.8 0.4 0.2 1.0 0.8 0.0
## 245 13 0.2 0.6 0.6 0.2 0.2 0.2 0.0
## 246 13 1.0 0.6 1.0 0.4 0.6 1.0 0.0
## 247 18 1.0 0.8 0.6 0.0 0.6 1.0 0.0
## 248 14 1.0 1.0 0.4 0.2 0.6 0.4 0.0
## 249 12 0.6 1.0 1.0 1.0 1.0 0.8 0.8
## 250 15 0.8 1.0 1.0 0.0 0.2 0.8 0.0
## nFA_TRIP nFA_QUAD RECOG_PAIR RECOG_TRIP RECOG_QUAD ASSOC_PAIR ASSOC_TRIP
## 1 0.0 0.0 0.8 0.6 0.4 0.8 0.6
## 2 0.0 0.0 0.4 1.0 1.0 0.4 1.0
## 3 0.2 0.0 0.8 0.6 0.8 0.6 0.4
## 4 0.8 0.6 0.4 0.2 0.0 -0.2 0.4
## 5 0.0 0.0 0.8 0.8 0.8 0.8 0.8
## 6 0.4 0.8 0.6 0.4 -0.4 0.4 0.4
## 7 0.0 0.0 1.0 0.8 1.0 1.0 0.4
## 8 0.0 0.0 0.4 0.4 0.6 0.6 -0.2
## 9 0.0 0.2 0.6 0.4 0.6 0.2 0.0
## 10 0.2 0.0 0.6 0.6 0.6 0.4 0.4
## 11 0.2 0.0 0.4 0.4 0.6 0.6 0.4
## 12 0.2 0.0 0.2 0.4 0.6 0.0 0.2
## 13 0.2 0.0 0.8 0.6 1.0 0.6 0.4
## 14 0.0 0.0 1.0 0.8 1.0 1.0 0.8
## 15 0.0 0.2 0.6 0.4 0.4 0.4 0.0
## 16 0.0 0.0 1.0 0.8 1.0 0.8 0.2
## 17 0.0 0.0 1.0 0.8 0.8 1.0 0.8
## 18 0.0 0.0 0.6 0.8 1.0 0.6 0.2
## 19 0.0 0.0 1.0 0.8 1.0 1.0 0.6
## 20 0.0 0.0 0.6 0.8 0.6 0.4 0.2
## 21 0.2 0.2 0.6 0.2 0.6 0.8 0.2
## 22 0.0 0.0 1.0 1.0 1.0 1.0 1.0
## 23 0.0 0.0 0.8 0.4 0.4 0.6 0.4
## 24 0.0 0.0 1.0 0.8 0.8 1.0 0.8
## 25 0.0 0.2 0.8 0.2 0.4 0.8 0.2
## 26 0.0 0.0 1.0 0.4 0.6 0.8 0.0
## 27 0.0 0.0 1.0 0.6 0.4 0.6 0.4
## 28 0.0 0.0 1.0 1.0 1.0 1.0 0.6
## 29 0.6 0.2 0.2 -0.2 0.6 0.2 0.4
## 30 0.0 0.0 1.0 1.0 0.8 1.0 1.0
## 31 0.0 0.0 0.6 0.6 0.8 0.2 0.2
## 32 0.0 0.0 1.0 0.2 0.2 0.8 0.0
## 33 0.0 0.0 0.8 0.6 1.0 0.8 0.4
## 34 0.2 0.2 0.6 0.4 0.0 0.4 -0.2
## 35 0.0 0.2 0.6 0.2 0.6 0.6 0.0
## 36 0.0 0.0 1.0 0.8 1.0 1.0 0.8
## 37 0.0 0.2 0.8 1.0 0.6 0.4 0.6
## 38 0.0 0.0 0.8 0.8 0.8 0.8 0.6
## 39 0.4 0.2 1.0 0.2 0.2 0.0 0.0
## 40 0.0 0.0 1.0 0.6 0.8 0.8 0.4
## 41 0.0 0.0 1.0 0.8 1.0 0.8 0.8
## 42 0.6 0.8 0.6 0.4 -0.4 0.4 0.4
## 43 0.0 0.0 1.0 0.6 0.6 0.8 0.6
## 44 0.0 0.0 0.6 0.4 0.6 -0.2 0.0
## 45 0.0 0.0 0.4 0.4 0.8 0.0 0.0
## 46 0.0 0.0 1.0 1.0 1.0 1.0 1.0
## 47 0.0 0.0 1.0 0.8 0.8 1.0 0.6
## 48 0.0 0.0 1.0 1.0 1.0 0.6 0.4
## 49 0.0 0.0 0.8 0.6 0.8 0.8 0.4
## 50 0.2 0.0 1.0 0.8 0.4 0.8 0.8
## 51 0.0 0.0 1.0 0.8 0.8 0.8 0.4
## 52 0.2 0.2 0.2 0.4 0.8 -0.2 0.4
## 53 0.0 0.2 1.0 0.8 0.6 0.2 0.0
## 54 0.4 0.0 0.6 0.0 0.8 0.4 0.2
## 55 0.2 0.0 0.6 0.0 0.8 0.4 -0.2
## 56 0.2 0.0 0.6 0.0 0.6 0.2 -0.2
## 57 0.0 0.0 0.4 0.6 0.6 0.2 0.4
## 58 0.0 0.0 1.0 0.4 0.6 0.8 -0.2
## 59 0.0 0.2 0.6 0.8 0.4 0.2 0.8
## 60 0.0 0.0 1.0 0.8 0.4 1.0 0.8
## 61 0.0 0.0 1.0 1.0 1.0 1.0 1.0
## 62 0.0 0.0 0.8 0.4 0.8 0.8 0.4
## 63 0.2 0.2 0.8 0.6 0.8 0.2 0.2
## 64 0.4 0.2 0.2 0.2 0.8 0.0 0.2
## 65 0.0 0.4 1.0 0.8 0.4 0.6 0.0
## 66 0.0 0.0 1.0 0.6 1.0 0.8 -0.2
## 67 0.0 0.0 1.0 1.0 0.6 1.0 0.8
## 68 0.0 0.2 0.8 0.4 0.8 0.8 0.0
## 69 0.0 0.0 0.8 0.6 0.6 0.4 -0.2
## 70 0.0 0.0 1.0 1.0 1.0 1.0 1.0
## 71 0.2 0.0 0.4 0.6 0.6 -0.4 0.2
## 72 0.0 0.0 0.8 0.8 0.8 0.8 0.6
## 73 0.2 0.2 0.8 0.8 0.8 0.6 0.2
## 74 0.2 0.0 1.0 0.8 1.0 0.8 0.4
## 75 0.0 0.0 1.0 1.0 0.8 1.0 1.0
## 76 0.2 0.2 1.0 0.4 0.6 0.6 0.4
## 77 0.0 0.0 1.0 0.8 0.8 0.6 0.8
## 78 0.0 0.0 1.0 1.0 0.4 0.4 0.4
## 79 0.2 0.4 1.0 0.8 0.4 0.8 0.6
## 80 0.2 0.4 0.6 0.8 0.6 0.2 0.2
## 81 0.0 0.0 1.0 0.8 0.6 1.0 0.8
## 82 0.0 0.0 1.0 0.6 1.0 0.8 0.4
## 83 0.0 0.0 0.6 1.0 0.4 0.6 0.8
## 84 0.2 0.6 0.2 0.4 -0.2 -0.2 -0.2
## 85 0.2 0.0 0.8 0.6 1.0 0.4 0.6
## 86 0.0 0.0 0.6 0.8 1.0 0.4 0.8
## 87 0.4 0.2 0.6 0.2 0.4 1.0 0.2
## 88 0.0 0.8 0.6 0.4 0.0 0.6 -0.2
## 89 0.2 0.0 1.0 0.2 0.2 0.8 0.2
## 90 0.0 0.0 0.8 0.8 1.0 0.4 0.2
## 91 0.0 0.0 1.0 0.6 1.0 1.0 0.6
## 92 0.0 0.0 1.0 0.8 1.0 0.6 0.0
## 93 0.0 0.0 1.0 0.8 0.8 1.0 0.8
## 94 0.0 0.2 1.0 1.0 0.4 0.8 0.8
## 95 0.0 0.0 1.0 0.8 1.0 0.4 0.6
## 96 0.0 0.0 1.0 0.6 0.6 0.6 0.2
## 97 0.4 0.2 1.0 0.6 0.8 0.8 0.4
## 98 0.0 0.0 1.0 1.0 1.0 0.6 0.6
## 99 0.0 0.0 1.0 0.8 1.0 1.0 0.2
## 100 0.0 0.0 1.0 0.8 0.8 1.0 0.4
## 101 0.4 0.4 0.8 0.0 0.0 0.8 -0.4
## 102 0.0 0.0 1.0 1.0 1.0 0.8 1.0
## 103 0.2 0.0 1.0 0.8 0.4 0.6 0.0
## 104 0.0 0.0 1.0 0.8 0.8 0.8 0.2
## 105 0.0 0.0 0.2 0.2 0.8 0.0 -0.8
## 106 0.0 0.0 0.8 1.0 0.8 0.4 0.6
## 107 0.0 0.0 0.8 0.4 0.8 0.2 0.4
## 108 0.0 0.0 0.6 0.8 0.8 0.8 0.8
## 109 0.0 0.2 1.0 1.0 0.6 0.6 0.4
## 110 0.2 0.2 0.6 0.4 0.6 0.8 -0.4
## 111 0.0 0.0 1.0 1.0 1.0 0.8 0.2
## 112 0.0 0.0 1.0 1.0 1.0 0.8 0.6
## 113 0.4 0.2 0.6 0.4 0.2 0.0 0.2
## 114 0.0 0.0 1.0 1.0 1.0 1.0 1.0
## 115 0.0 0.0 0.2 0.4 0.2 0.2 0.4
## 116 0.0 0.0 0.8 0.2 0.4 0.6 0.0
## 117 0.0 0.0 1.0 1.0 1.0 1.0 0.8
## 118 0.0 0.0 0.6 0.8 0.6 0.4 0.6
## 119 0.0 0.2 0.4 0.0 0.4 -0.2 -0.6
## 120 0.0 0.2 0.8 1.0 0.8 0.6 0.4
## 121 0.0 0.0 1.0 0.6 0.4 1.0 0.4
## 122 0.0 0.0 1.0 1.0 1.0 0.8 1.0
## 123 0.0 0.2 0.4 0.4 0.6 0.4 0.0
## 124 0.4 0.2 0.6 0.2 0.2 -0.4 -0.2
## 125 0.0 0.0 1.0 1.0 1.0 0.6 0.6
## 126 0.4 0.2 0.4 0.4 0.8 0.8 0.4
## 127 0.2 0.2 0.8 0.8 0.6 0.6 0.6
## 128 0.2 0.0 1.0 0.4 0.4 1.0 0.2
## 129 0.0 0.0 0.8 0.6 0.6 0.8 0.6
## 130 0.0 0.2 1.0 0.8 0.4 1.0 0.6
## 131 0.0 0.2 0.0 0.2 0.6 0.4 -0.4
## 132 0.0 0.0 1.0 1.0 0.6 0.8 0.4
## 133 0.0 0.0 1.0 0.8 1.0 0.8 0.0
## 134 0.0 0.0 0.6 0.8 0.4 0.4 0.6
## 135 0.0 0.0 1.0 0.8 0.8 1.0 0.2
## 136 0.0 0.0 1.0 0.8 1.0 0.8 0.6
## 137 0.0 0.0 0.8 0.4 0.6 0.6 0.4
## 138 0.0 0.2 1.0 0.6 0.6 1.0 0.2
## 139 0.0 0.0 0.4 1.0 0.6 -0.4 0.2
## 140 0.0 0.2 1.0 1.0 0.8 0.4 0.4
## 141 0.0 0.0 0.6 0.8 0.8 0.8 0.2
## 142 0.0 0.0 1.0 0.4 1.0 0.8 0.0
## 143 0.0 0.0 0.8 1.0 1.0 0.4 0.2
## 144 0.0 0.2 1.0 0.6 0.8 0.4 0.6
## 145 0.0 0.6 0.6 1.0 -0.2 0.2 0.4
## 146 0.0 0.0 0.8 0.6 0.6 0.8 0.4
## 147 0.0 0.0 1.0 1.0 0.8 0.8 0.4
## 148 0.0 0.0 1.0 0.8 0.4 0.4 0.4
## 149 0.0 0.0 1.0 0.8 0.6 1.0 0.8
## 150 0.0 0.0 0.8 1.0 1.0 0.0 0.0
## 151 0.0 0.2 0.4 0.4 0.6 0.4 -0.4
## 152 0.0 0.2 0.8 1.0 0.8 0.4 0.2
## 153 0.0 0.0 0.8 1.0 1.0 0.8 0.8
## 154 0.0 0.0 1.0 0.8 1.0 0.8 0.4
## 155 0.0 0.0 0.6 0.6 0.8 0.6 0.4
## 156 0.2 0.0 0.8 0.0 0.6 0.4 -0.4
## 157 0.0 0.0 0.8 0.8 0.6 0.4 -0.2
## 158 0.0 0.0 0.6 0.4 0.4 0.4 -0.2
## 159 0.0 0.0 0.6 0.6 0.8 0.2 0.6
## 160 0.0 0.0 0.8 0.4 0.0 0.6 0.4
## 161 0.0 0.0 1.0 0.8 1.0 0.8 0.2
## 162 0.0 0.0 1.0 0.6 0.2 0.8 0.2
## 163 0.0 0.0 1.0 0.8 1.0 0.4 0.0
## 164 0.2 0.2 0.8 0.4 0.4 0.2 0.4
## 165 0.2 0.2 0.4 0.6 0.8 0.4 0.2
## 166 0.0 0.0 0.8 1.0 1.0 0.6 0.6
## 167 0.2 0.8 0.0 0.6 -0.2 0.2 0.2
## 168 0.2 0.2 0.4 0.6 0.8 0.4 0.2
## 169 0.0 0.0 1.0 0.6 0.8 1.0 0.0
## 170 0.6 0.4 0.4 0.2 0.4 0.4 0.6
## 171 0.0 0.0 1.0 0.8 1.0 0.8 0.4
## 172 0.0 0.0 0.8 1.0 1.0 0.8 0.4
## 173 0.0 0.0 0.8 0.8 1.0 0.8 0.0
## 174 0.2 0.6 1.0 0.8 0.4 0.2 0.0
## 175 0.0 0.0 0.2 0.0 0.4 0.2 0.0
## 176 0.0 0.0 1.0 1.0 0.6 0.8 0.6
## 177 0.2 0.2 0.8 0.6 0.6 0.6 0.6
## 178 0.0 0.0 1.0 0.6 0.6 1.0 0.4
## 179 0.2 0.2 0.4 0.2 0.4 -0.2 -0.2
## 180 0.0 0.0 1.0 0.4 0.2 0.6 -0.2
## 181 0.0 0.0 1.0 0.6 0.8 0.4 -0.2
## 182 0.0 0.0 1.0 0.6 0.8 0.6 0.2
## 183 0.0 0.0 1.0 1.0 1.0 0.4 0.2
## 184 0.0 0.0 1.0 0.8 0.4 0.6 0.4
## 185 0.0 0.0 1.0 1.0 0.6 1.0 0.6
## 186 0.0 0.0 1.0 0.4 0.6 0.6 -0.2
## 187 0.0 0.0 0.6 0.8 1.0 0.4 0.2
## 188 0.0 0.0 0.4 0.0 0.4 0.2 0.0
## 189 0.0 0.0 1.0 0.6 1.0 1.0 0.2
## 190 0.0 0.0 0.8 1.0 1.0 0.6 0.8
## 191 0.0 0.0 0.6 0.6 0.2 0.2 0.2
## 192 0.0 0.0 1.0 1.0 1.0 1.0 1.0
## 193 0.2 0.0 0.6 0.6 0.8 0.4 0.0
## 194 0.0 0.0 1.0 0.6 0.6 0.6 0.0
## 195 0.4 0.4 0.0 0.6 0.6 0.4 0.4
## 196 0.0 0.0 0.8 0.4 0.2 0.6 0.2
## 197 0.0 0.0 0.8 1.0 1.0 0.8 0.4
## 198 0.0 0.2 0.8 0.8 0.8 0.2 0.4
## 199 0.0 0.0 0.8 0.6 0.6 1.0 0.6
## 200 0.0 0.0 0.8 1.0 0.8 0.4 0.0
## 201 0.0 0.0 1.0 0.6 0.4 1.0 0.6
## 202 0.0 0.0 1.0 0.6 1.0 0.4 0.4
## 203 0.0 0.0 0.8 0.6 0.4 0.8 0.4
## 204 0.0 0.0 0.8 0.8 1.0 0.6 0.2
## 205 0.0 0.0 1.0 0.6 0.6 0.2 0.4
## 206 0.0 0.0 1.0 0.4 1.0 0.0 -0.2
## 207 0.0 0.0 0.8 0.8 0.6 0.4 0.4
## 208 0.0 0.0 0.6 0.8 1.0 0.2 0.2
## 209 0.2 0.2 0.8 0.6 0.8 0.6 0.4
## 210 0.0 0.4 0.6 0.8 0.6 0.0 0.0
## 211 0.0 0.0 0.8 1.0 0.8 0.2 0.4
## 212 0.0 0.0 0.8 0.8 0.0 0.8 0.6
## 213 0.0 0.0 1.0 1.0 1.0 0.8 1.0
## 214 0.2 0.0 0.8 0.4 0.4 0.8 0.4
## 215 0.0 0.0 0.6 0.8 1.0 0.4 0.4
## 216 0.0 0.0 1.0 0.8 0.8 1.0 0.4
## 217 0.0 0.0 1.0 0.6 0.8 0.8 0.6
## 218 0.0 0.0 0.8 0.4 0.8 0.8 0.2
## 219 0.0 0.0 1.0 1.0 1.0 0.8 1.0
## 220 0.0 0.0 0.8 0.8 0.8 0.8 0.2
## 221 0.0 0.0 1.0 0.8 0.8 0.6 0.2
## 222 0.0 0.0 1.0 1.0 0.8 0.4 0.2
## 223 0.0 0.2 0.8 0.6 0.4 1.0 0.2
## 224 0.0 0.0 1.0 0.6 0.6 0.8 0.2
## 225 0.0 0.0 0.4 0.2 0.2 0.2 0.2
## 226 0.0 0.0 0.8 0.8 0.8 0.6 0.4
## 227 0.0 0.0 1.0 0.8 0.4 1.0 0.6
## 228 0.0 0.0 1.0 0.8 1.0 0.4 0.0
## 229 0.0 0.2 1.0 0.8 0.6 0.6 0.0
## 230 0.0 0.0 1.0 0.6 0.6 0.6 0.0
## 231 0.2 0.6 0.6 0.8 0.4 0.4 0.2
## 232 0.0 0.0 0.6 0.8 0.6 0.0 0.2
## 233 0.0 0.0 0.8 0.8 1.0 0.6 0.2
## 234 0.0 0.0 0.8 0.6 1.0 0.6 0.0
## 235 0.2 0.0 1.0 0.8 1.0 0.8 0.4
## 236 0.0 0.0 1.0 0.6 0.6 0.6 0.0
## 237 0.0 0.0 0.8 0.8 0.8 0.6 0.4
## 238 0.2 0.0 0.6 0.8 0.8 -0.2 0.6
## 239 0.2 0.0 0.6 0.8 0.8 0.4 0.2
## 240 0.0 0.2 0.4 0.4 0.4 0.2 0.0
## 241 0.0 0.0 0.8 1.0 1.0 0.6 0.4
## 242 0.0 0.0 1.0 0.6 1.0 0.6 -0.2
## 243 0.2 0.4 0.4 0.6 0.6 0.0 0.2
## 244 0.2 0.2 1.0 0.6 0.2 0.8 -0.2
## 245 0.0 0.0 0.2 0.6 0.6 0.0 0.4
## 246 0.2 0.0 1.0 0.4 1.0 0.6 0.0
## 247 0.0 0.0 1.0 0.8 0.6 1.0 0.2
## 248 0.0 0.0 1.0 1.0 0.4 0.8 0.4
## 249 0.4 0.0 -0.2 0.6 1.0 -0.4 0.0
## 250 0.0 0.0 0.8 1.0 1.0 0.8 0.8
## ASSOC_QUAD
## 1 0.4
## 2 0.4
## 3 0.2
## 4 0.0
## 5 0.2
## 6 -0.6
## 7 0.8
## 8 -0.2
## 9 0.0
## 10 0.2
## 11 0.4
## 12 -0.2
## 13 0.0
## 14 0.0
## 15 0.6
## 16 0.6
## 17 0.2
## 18 0.6
## 19 0.4
## 20 0.0
## 21 0.2
## 22 1.0
## 23 0.4
## 24 0.6
## 25 0.2
## 26 0.4
## 27 0.0
## 28 0.8
## 29 0.8
## 30 0.4
## 31 0.2
## 32 0.2
## 33 0.6
## 34 -0.4
## 35 0.0
## 36 0.6
## 37 0.6
## 38 0.6
## 39 -0.2
## 40 0.0
## 41 0.6
## 42 -0.4
## 43 -0.4
## 44 -0.2
## 45 0.6
## 46 1.0
## 47 0.4
## 48 0.4
## 49 -0.2
## 50 -0.4
## 51 0.0
## 52 0.2
## 53 0.0
## 54 0.2
## 55 0.6
## 56 0.2
## 57 0.4
## 58 0.0
## 59 0.4
## 60 0.4
## 61 0.4
## 62 0.4
## 63 0.2
## 64 0.4
## 65 -0.2
## 66 0.2
## 67 0.6
## 68 0.4
## 69 -0.4
## 70 1.0
## 71 0.2
## 72 0.2
## 73 0.4
## 74 0.2
## 75 0.6
## 76 0.2
## 77 0.0
## 78 -0.6
## 79 0.2
## 80 0.0
## 81 0.6
## 82 0.2
## 83 -0.4
## 84 -0.4
## 85 0.2
## 86 0.6
## 87 0.0
## 88 -0.2
## 89 0.0
## 90 0.2
## 91 0.8
## 92 0.4
## 93 0.6
## 94 0.0
## 95 0.4
## 96 0.4
## 97 0.0
## 98 0.2
## 99 0.2
## 100 0.6
## 101 -0.4
## 102 0.8
## 103 -0.4
## 104 0.0
## 105 0.4
## 106 0.2
## 107 -0.2
## 108 0.4
## 109 0.2
## 110 0.0
## 111 0.8
## 112 0.8
## 113 -0.6
## 114 0.8
## 115 -0.2
## 116 -0.4
## 117 1.0
## 118 0.0
## 119 -0.4
## 120 0.4
## 121 0.2
## 122 0.4
## 123 0.0
## 124 -0.6
## 125 0.4
## 126 0.2
## 127 0.0
## 128 -0.6
## 129 -0.2
## 130 0.4
## 131 0.0
## 132 0.2
## 133 0.4
## 134 0.2
## 135 0.0
## 136 0.8
## 137 0.4
## 138 -0.2
## 139 -0.2
## 140 0.2
## 141 0.4
## 142 0.6
## 143 0.0
## 144 0.0
## 145 0.2
## 146 0.2
## 147 0.0
## 148 -0.4
## 149 0.6
## 150 0.0
## 151 0.6
## 152 0.0
## 153 0.4
## 154 0.6
## 155 0.6
## 156 0.0
## 157 0.0
## 158 -0.4
## 159 0.0
## 160 -0.2
## 161 0.4
## 162 -0.2
## 163 0.0
## 164 -0.4
## 165 0.2
## 166 0.2
## 167 0.4
## 168 0.2
## 169 0.2
## 170 0.0
## 171 0.6
## 172 0.2
## 173 0.0
## 174 0.0
## 175 0.2
## 176 0.0
## 177 0.0
## 178 -0.2
## 179 -0.2
## 180 -0.2
## 181 0.2
## 182 0.4
## 183 0.0
## 184 -0.2
## 185 0.2
## 186 0.2
## 187 0.6
## 188 0.4
## 189 0.6
## 190 0.8
## 191 -0.4
## 192 0.8
## 193 0.2
## 194 -0.2
## 195 0.0
## 196 0.2
## 197 0.2
## 198 0.4
## 199 0.0
## 200 0.2
## 201 0.2
## 202 0.2
## 203 -0.6
## 204 0.4
## 205 0.0
## 206 0.0
## 207 0.4
## 208 0.4
## 209 0.4
## 210 0.4
## 211 0.0
## 212 -0.8
## 213 0.6
## 214 0.2
## 215 0.4
## 216 0.8
## 217 -0.2
## 218 0.0
## 219 0.4
## 220 0.0
## 221 0.4
## 222 -0.2
## 223 0.0
## 224 -0.2
## 225 -0.2
## 226 0.4
## 227 0.2
## 228 0.6
## 229 0.2
## 230 0.6
## 231 0.0
## 232 -0.4
## 233 0.4
## 234 0.2
## 235 0.0
## 236 0.0
## 237 -0.2
## 238 -0.2
## 239 0.0
## 240 0.4
## 241 0.2
## 242 0.2
## 243 0.2
## 244 -0.4
## 245 0.4
## 246 0.0
## 247 -0.4
## 248 0.0
## 249 0.2
## 250 0.2
#Renamed data
quadmax2 <- read.csv("master_QuadMax10_n250_V2.csv")
#loaded dplyr for cleaning data
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
#SEX has female coded as 0 and Male coded as 1
#column E has y/\n responses to a survey question
quadmax2 <- dplyr::select(quadmax2, SEX, Do.you.have.concerns.about.your.memory.)
#loading naniar library to investigate NA data and psych library
library(naniar)
library(psych)
#checking for missing data
vis_miss(quadmax2)
## Warning: `gather_()` was deprecated in tidyr 1.2.0.
## Please use `gather()` instead.
#looks like there is something odd going on. I'll ensure to correct those
#variables before running an analysis
#installing package for haven, rcompanion, and questionr and loading the
#libraries
#install.packages("haven")
library(haven)
#install.packages("rcompanion")
library(rcompanion)
##
## Attaching package: 'rcompanion'
## The following object is masked from 'package:psych':
##
## phi
#install.packages("questionr")
library(questionr)
##
## Attaching package: 'questionr'
## The following object is masked from 'package:psych':
##
## describe
#selecting my data for chi square
chi1 <-subset(quadmax2)
#viewing data
table(chi1)
## Do.you.have.concerns.about.your.memory.
## SEX N Y
## 0 62 68
## 1 57 60
## 18 0 2
#I can see that the strange variables I noticed before are because I have some
#labeled '18' in the column for SEX which is indicating missing data in my
#study. I'll remove them.
#I need to get rid of unnecessary variables
chi1 <- subset(chi1,SEX!=18)
#and viewing the table again to ensure they look good.
table(chi1)
## Do.you.have.concerns.about.your.memory.
## SEX N Y
## 0 62 68
## 1 57 60
#renamed variables and told R to compute them as factors
chi1$SEX <- as.factor(chi1$SEX)
levels(chi1$SEX) <- list("Female"="0","Male"="1")
chi1$Do.you.have.concerns.about.your.memory. <- as.factor(chi1$Do.you.have.concerns.about.your.memory.)
levels(chi1$Do.you.have.concerns.about.your.memory.) <- list('Yes'="Y",'No'="N")
#checking to make sure everything looks good
table(chi1)
## Do.you.have.concerns.about.your.memory.
## SEX Yes No
## Female 68 62
## Male 60 57
#making my data into an object
chiSquareTable <- table(chi1)
#running my test
chiSq <- chisq.test(chiSquareTable)
#finding my x squared stat
chiSq$statistic
## X-squared
## 0.001126101
#and finding my p value. doesn't look good for my hypothesis.
chiSq$p.value
## [1] 0.9732301
#glancing at my residuals just to see them.
chiSq$residuals
## Do.you.have.concerns.about.your.memory.
## SEX Yes No
## Female 0.07694838 -0.07980516
## Male -0.08111071 0.08412202
#loading library from ggplot2 to graph my results
library(ggplot2)
##
## Attaching package: 'ggplot2'
## The following objects are masked from 'package:psych':
##
## %+%, alpha
#graphing my chisq results
ggplot(data = chi1, aes(x = SEX)) +
geom_bar(aes(fill = Do.you.have.concerns.about.your.memory.),position="dodge") +
xlab("Participant's Sex") +
ylab("Do you have concerns about your memory?") +
scale_fill_manual("Male and Female Perception of Memory Ability", values = c(
"Yes" = "green3", "No" = "blue"))
#finding my citations
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 ="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},
## }
citation(package="haven")
##
## To cite package 'haven' in publications use:
##
## Wickham H, Miller E, Smith D (2022). _haven: Import and Export
## 'SPSS', 'Stata' and 'SAS' Files_. R package version 2.5.1,
## <https://CRAN.R-project.org/package=haven>.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {haven: Import and Export 'SPSS', 'Stata' and 'SAS' Files},
## author = {Hadley Wickham and Evan Miller and Danny Smith},
## year = {2022},
## note = {R package version 2.5.1},
## url = {https://CRAN.R-project.org/package=haven},
## }
citation(package="rcompanion")
##
## To cite package 'rcompanion' in publications use:
##
## Mangiafico S (2022). _rcompanion: Functions to Support Extension
## Education Program Evaluation_. R package version 2.4.18,
## <https://CRAN.R-project.org/package=rcompanion>.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {rcompanion: Functions to Support Extension Education Program Evaluation},
## author = {Salvatore Mangiafico},
## year = {2022},
## note = {R package version 2.4.18},
## url = {https://CRAN.R-project.org/package=rcompanion},
## }
citation(package="questionr")
##
## To cite package 'questionr' in publications use:
##
## Barnier J, Briatte F, Larmarange J (2022). _questionr: Functions to
## Make Surveys Processing Easier_. R package version 0.7.7,
## <https://CRAN.R-project.org/package=questionr>.
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {questionr: Functions to Make Surveys Processing Easier},
## author = {Julien Barnier and François Briatte and Joseph Larmarange},
## year = {2022},
## note = {R package version 0.7.7},
## url = {https://CRAN.R-project.org/package=questionr},
## }
citation(package="ggplot2")
##
## To cite ggplot2 in publications, please use:
##
## H. Wickham. ggplot2: Elegant Graphics for Data Analysis.
## Springer-Verlag New York, 2016.
##
## A BibTeX entry for LaTeX users is
##
## @Book{,
## author = {Hadley Wickham},
## title = {ggplot2: Elegant Graphics for Data Analysis},
## publisher = {Springer-Verlag New York},
## year = {2016},
## isbn = {978-3-319-24277-4},
## url = {https://ggplot2.tidyverse.org},
## }