table <- read.delim ("english.txt", stringsAsFactors=TRUE)
table
## SPEAKER PROFICIENCY VOWEL F1..HZ. F2..HZ.
## 1 chan N a 714.1451 1090.2324
## 2 chan N a 759.5888 1731.3223
## 3 chan N a 751.4112 1721.7553
## 4 chan N a 859.8038 1476.2489
## 5 chan N a 877.4724 1348.9816
## 6 chan N a 934.6139 1730.3128
## 7 chan N a 871.0854 1798.8240
## 8 chan N a 913.7371 1771.5774
## 9 chan N a 1095.4323 1679.2897
## 10 chan N a 1097.4742 1746.8983
## 11 chan N a 210.9243 1520.7342
## 12 chan N a 467.6513 1530.0463
## 13 chan N a 423.0833 1552.8095
## 14 chan N a 797.8667 1826.8996
## 15 chan N a 834.3604 1620.7142
## 16 chan N a 880.9748 1624.1671
## 17 chan N a 820.6901 1536.4880
## 18 chan N a 764.6439 1478.4384
## 19 chan N a 940.6733 1558.8451
## 20 chan N a 779.7279 1497.1303
## 21 chan N a 752.6395 1327.3309
## 22 chan N a 759.3807 1306.7594
## 23 chan N a 724.4011 1833.5139
## 24 chan N a 716.6991 1671.2420
## 25 chan N a 1047.7443 1602.4030
## 26 chan N a 851.0306 1519.7500
## 27 chan N a 871.4581 1859.3189
## 28 chan N a 935.8950 1453.8264
## 29 chan N a 935.1925 1742.0635
## 30 chan N a 766.0402 1836.7387
## 31 chan N a 751.5419 1971.0365
## 32 chan N a 616.0188 1522.4917
## 33 chan N a 859.7984 1506.9964
## 34 chan N a 820.9165 1495.7890
## 35 chan N a 777.6828 1584.2031
## 36 chan N a 785.3094 1747.3342
## 37 chan N a 730.4219 1694.9803
## 38 chan N a 687.6489 1633.1424
## 39 chan N a 812.1001 1717.8203
## 40 chan N a 818.2172 1820.3218
## 41 chan N a 830.7598 1750.1646
## 42 chan N a 971.0363 1586.1115
## 43 chan N a 1003.6505 1797.1885
## 44 chan N a 837.9541 1693.3608
## 45 chan N a 973.2439 1498.2623
## 46 chan N a 943.4703 1718.4506
## 47 chan N a 613.3281 1748.5220
## 48 chan N ae 558.0913 1493.0129
## 49 chan N ae 646.0923 1477.1082
## 50 chan N ae 576.5594 1471.3662
## 51 chan N ae 984.3278 1952.0880
## 52 chan N ae 790.1546 1625.6015
## 53 chan N ae 673.6926 2092.8711
## 54 chan N ae 870.5007 2039.9453
## 55 chan N ae 958.8386 2012.7671
## 56 chan N ae 433.0442 1972.0699
## 57 chan N ae 483.0533 1866.9054
## 58 chan N ae 740.4846 1693.0140
## 59 chan N aa 578.3757 1140.8653
## 60 chan N aa 936.2528 1596.4011
## 61 chan N aa 1097.5957 1476.1214
## 62 chan N aa 956.6649 1612.4268
## 63 chan N aa 921.5902 1661.8108
## 64 chan N aa 947.9936 1631.3090
## 65 chan N aa 875.5799 1663.2231
## 66 chan N aa 994.6213 1693.2911
## 67 chan N aa 659.3404 1434.1299
## 68 chan N aa 749.4955 1394.9779
## 69 chan N aa 854.7680 1523.9740
## 70 chan N aa 837.3546 1672.9570
## 71 chan N aa 864.6335 1310.3920
## 72 chan N aa 853.7325 1758.6836
## 73 chan N aa 476.3600 1373.4288
## 74 chan N aa 737.6339 1498.2914
## 75 chan N aa 696.0784 1100.1375
## 76 chan N aa 745.9471 1121.7630
## 77 chan N aa 677.5574 975.3942
## 78 chan N aa 623.4821 1624.2478
## 79 chan N e 596.3786 1907.9088
## 80 chan N e 573.5600 1936.8018
## 81 chan N e 698.1681 1854.7907
## 82 chan N e 920.4654 1551.9058
## 83 chan N e 452.7160 2197.1842
## 84 chan N e 706.4350 1679.3186
## 85 chan N e 502.2960 1833.7860
## 86 chan N e 760.4269 1854.7009
## 87 chan N e 577.9759 1886.4334
## 88 chan N e 929.6172 1951.4786
## 89 chan N ee 1241.9398 2175.5352
## 90 chan N ee 558.5072 1640.8760
## 91 chan N ee 792.4940 1397.4313
## 92 chan N ee 844.1219 1653.8647
## 93 chan N ee 1025.1633 1386.6129
## 94 chan N ee 819.8531 1771.9408
## 95 chan N ee 716.1210 1615.1195
## 96 chan N ee 1207.9131 1781.9290
## 97 chan N ee 601.0932 1790.1359
## 98 chan N ee 293.2272 1529.9253
## 99 chan N ee 268.2608 1762.6187
## 100 chan N ee 717.9355 1314.4689
## 101 chan N ee 754.8395 1569.4275
## 102 chan N ee 730.6051 1499.4086
## 103 chan N ee 792.2760 1621.6254
## 104 chan N ee 745.1762 1566.4277
## 105 chan N ee 647.1616 1908.0305
## 106 chan N ee 676.3743 1727.7750
## 107 chan N ee 695.0812 1874.1339
## 108 chan N ee 896.8979 1747.2726
## 109 chan N ee 712.5792 1700.9410
## 110 chan N ee 747.5689 1847.9866
## 111 chan N ee 736.3028 1538.9022
## 112 chan N ee 401.3331 1715.6141
## 113 chan N ee 641.1370 1880.4974
## 114 chan N ee 483.4384 1622.6745
## 115 chan N ee 597.3198 1425.2500
## 116 chan N ee 661.2919 1627.2952
## 117 chan N eh 736.2861 1826.9956
## 118 chan N eh 679.8501 1341.5579
## 119 chan N eh 790.3811 1819.4158
## 120 chan N eh 812.4758 1481.9601
## 121 chan N eh 694.2139 1765.5604
## 122 chan N eh 789.8337 1686.0965
## 123 chan N eh 211.5437 1742.6512
## 124 chan N eh 442.2131 1896.7428
## 125 chan N eh 985.6585 1974.7604
## 126 chan N eh 721.1889 1875.6544
## 127 chan N eh 729.9396 1764.6194
## 128 chan N eh 821.4609 1882.0691
## 129 chan N eh 782.3716 1758.4711
## 130 chan N eh 707.6777 2000.4798
## 131 chan N eh 579.9874 1754.2049
## 132 chan N eh 683.3316 1881.2696
## 133 chan N eh 801.0800 1488.2810
## 134 chan N eh 762.5618 1719.9315
## 135 chan N eh 688.0336 1887.2981
## 136 chan N eh 664.6648 1658.9713
## 137 chan N eeh 627.4054 1584.2378
## 138 chan N i 504.2083 2185.2421
## 139 chan N i 645.3346 916.6305
## 140 chan N i 512.6555 2216.6933
## 141 chan N i 494.0230 1945.1118
## 142 chan N i 630.4602 1931.6459
## 143 chan N i 555.1126 1811.8130
## 144 chan N i 559.7389 1829.0782
## 145 chan N i 865.5667 1853.0153
## 146 chan N i 464.8023 1855.9468
## 147 chan N i 418.8207 1937.1815
## 148 chan N i 764.8633 2020.0522
## 149 chan N i 753.7864 1455.7730
## 150 chan N i 620.8250 1819.3737
## 151 chan N i 358.1814 2080.6358
## 152 chan N i 385.7603 1439.7879
## 153 chan N i 488.4919 2207.2863
## 154 chan N ii 715.8090 1928.6627
## 155 chan N ii 519.8190 1790.3828
## 156 chan N ii 615.7568 1990.5300
## 157 chan N ii 772.8272 1957.2969
## 158 chan N ii 452.6785 1967.7069
## 159 chan N ii 1026.5711 1938.4206
## 160 chan N ii 494.3890 2092.7523
## 161 chan N ii 627.8211 1861.3407
## 162 chan N ii 718.9140 1725.8769
## 163 chan N ii 444.1491 1293.9277
## 164 chan N ii 688.2943 2108.2940
## 165 chan N ii 550.8653 1455.6930
## 166 chan N ii 408.0046 2368.5956
## 167 chan N ii 557.1336 2339.8950
## 168 chan N o 764.2045 1583.7381
## 169 chan N o 683.7876 1356.3115
## 170 chan N o 687.6925 1330.8121
## 171 chan N o 1015.6315 1107.3191
## 172 chan N o 1133.5367 1740.4714
## 173 chan N o 825.0539 1263.2946
## 174 chan N o 498.0687 1310.0628
## 175 chan N o 654.9759 1633.9158
## 176 chan N o 651.1398 1326.4887
## 177 chan N o 629.9823 1400.3030
## 178 chan N o 649.2301 1375.7465
## 179 chan N o 543.3969 1486.5656
## 180 chan N o 535.1203 1308.0198
## 181 chan N o 731.6410 1394.4529
## 182 chan N o 847.8941 1429.8018
## 183 chan N oo 629.6022 1540.3964
## 184 chan N oo 790.9530 1466.9694
## 185 chan N u 657.3515 2172.1216
## 186 chan N u 802.9378 1589.4099
## 187 chan N u 687.2776 1844.9500
## 188 chan N u 907.4921 1426.6040
## 189 chan N u 574.5811 1516.6063
## 190 chan N u 600.1413 1642.4217
## 191 chan N u 836.3226 1620.8813
## 192 chan N u 505.3071 1655.4339
## 193 chan N u 680.9205 1417.9337
## 194 chan N u 932.9197 1630.6328
## 195 chan N u 905.7838 1724.4339
## 196 chan N u 363.0671 1924.9163
## 197 chan N uu 545.0292 1736.7840
## 198 chan N uu 609.5505 1677.5764
## 199 chan N uu 1086.9968 1261.1754
## 200 chan N uu 511.3562 1764.7676
## 201 chan N eo 886.4475 1686.2050
## 202 chan N eo 809.6638 1335.0951
## 203 chan N eo 722.8716 1703.3859
## 204 chan N eo 644.7105 1545.3002
## 205 chan N eo 444.0490 1796.0627
## 206 felix N a 714.5297 1621.5213
## 207 felix N a 762.0811 1605.7853
## 208 felix N a 747.5204 1402.3849
## 209 felix N a 740.7281 1409.6577
## 210 felix N a 735.0794 1403.0918
## 211 felix N a 731.5859 1469.8307
## 212 felix N a 549.4060 1242.1864
## 213 felix N a 708.5191 1427.2088
## 214 felix N a 710.4876 1392.9417
## 215 felix N a 517.6841 1168.0540
## 216 felix N a 736.6007 1432.1319
## 217 felix N a 716.0023 1313.7234
## 218 felix N a 784.0449 1530.8903
## 219 felix N a 690.3706 1386.7561
## 220 felix N a 795.1753 1588.0754
## 221 felix N a 764.7563 1388.6336
## 222 felix N a 860.4674 2123.8333
## 223 felix N a 774.4581 1675.5449
## 224 felix N a 716.0353 1643.4792
## 225 felix N a 689.2176 1646.7423
## 226 felix N ae 556.2751 1482.9747
## 227 felix N aa 762.6046 1265.5039
## 228 felix N aa 775.9199 1222.7289
## 229 felix N ee 470.2339 1525.5882
## 230 felix N eh 437.1853 1614.2763
## 231 felix N eh 470.3204 1715.5587
## 232 felix N eeh 684.1859 1410.3868
## 233 felix N eeh 570.4027 1193.0044
## 234 felix N i 496.2020 2107.1133
## 235 felix N i 541.1219 1863.5679
## 236 felix N i 603.6851 1956.4869
## 237 felix N i 791.0345 1440.4684
## 238 felix N i 534.7456 1422.2723
## 239 felix N i 399.7440 1513.9695
## 240 felix N i 467.7762 1365.2159
## 241 felix N i 449.2147 1674.5953
## 242 felix N ii 466.3884 2127.2359
## 243 felix N ii 446.5890 2073.6459
## 244 felix N ii 426.0774 2071.8807
## 245 felix N ii 448.7251 1967.7887
## 246 felix N ii 728.2651 1939.5580
## 247 felix N ii 543.8093 1821.9647
## 248 felix N ii 852.4725 1395.7960
## 249 felix N ii 598.5434 1493.4500
## 250 felix N ii 541.3377 1630.7934
## 251 felix N ii 579.0257 1469.8143
## 252 felix N ii 754.7978 1737.6423
## 253 felix N ii 455.5911 1533.0368
## 254 felix N ii 576.6424 1633.0720
## 255 felix N ii 468.9827 1791.9289
## 256 felix N ii 555.2435 1754.1836
## 257 felix N ii 408.2136 1733.9543
## 258 felix N ii 167.1737 1693.1841
## 259 felix N o 633.0014 1215.7559
## 260 felix N o 644.0987 1247.3957
## 261 felix N o 527.0549 1113.2663
## 262 felix N o 609.4450 1153.3915
## 263 felix N oo 572.4037 1157.6224
## 264 felix N oo 483.6398 790.3934
## 265 felix N u 391.1145 795.0541
## 266 felix N uu 593.7676 1595.7188
## 267 felix N uu 701.2704 1629.7793
## 268 felix N eo 322.0882 1050.6082
## 269 hyunjin L a 728.6805 1699.5786
## 270 hyunjin L a 710.7867 1676.3091
## 271 hyunjin L a 778.7837 1859.9021
## 272 hyunjin L a 801.1235 1476.8208
## 273 hyunjin L a 886.0237 1537.2604
## 274 hyunjin L a 739.4935 1601.6115
## 275 hyunjin L a 788.3299 1591.3203
## 276 hyunjin L a 856.8383 1397.1840
## 277 hyunjin L a 534.6366 1460.9713
## 278 hyunjin L a 671.4708 1544.5571
## 279 hyunjin L a 857.2239 1535.2297
## 280 hyunjin L a 749.1480 1450.9386
## 281 hyunjin L a 701.6439 1649.7998
## 282 hyunjin L a 815.2978 1590.1336
## 283 hyunjin L a 1033.8322 1710.2034
## 284 hyunjin L a 920.7446 2042.6098
## 285 hyunjin L a 944.7998 1932.0042
## 286 hyunjin L a 934.5194 1433.0945
## 287 hyunjin L a 895.4823 1672.0668
## 288 hyunjin L a 862.9238 1597.7694
## 289 hyunjin L a 799.6095 1991.0693
## 290 hyunjin L a 792.6224 1793.8322
## 291 hyunjin L a 838.4855 1688.8813
## 292 hyunjin L a 837.3845 1662.5585
## 293 hyunjin L a 856.4241 1800.5545
## 294 hyunjin L a 752.2833 1693.6854
## 295 hyunjin L a 754.5934 1997.7742
## 296 hyunjin L a 805.8911 1766.4761
## 297 hyunjin L a 767.4536 1605.4929
## 298 hyunjin L a 805.0327 1716.2479
## 299 hyunjin L a 882.5871 1708.9970
## 300 hyunjin L ae 672.4890 1450.6465
## 301 hyunjin L ee 621.0942 1391.3731
## 302 hyunjin L ee 1334.7239 2103.4763
## 303 hyunjin L ee 431.2268 1468.5657
## 304 hyunjin L ee 352.8160 1607.0186
## 305 hyunjin L ee 702.3955 1601.9723
## 306 hyunjin L ee 863.0257 1547.4748
## 307 hyunjin L eh 799.8909 1624.3257
## 308 hyunjin L eh 841.3493 1757.7405
## 309 hyunjin L eeh 723.9471 1627.3903
## 310 hyunjin L eeh 549.0106 1250.9049
## 311 hyunjin L i 420.2620 2134.5677
## 312 hyunjin L i 893.7827 1365.3388
## 313 hyunjin L i 573.8113 1800.0071
## 314 hyunjin L i 665.5449 1924.3278
## 315 hyunjin L i 672.5592 1769.5742
## 316 hyunjin L i 662.6845 1958.6159
## 317 hyunjin L i 487.8561 2001.8581
## 318 hyunjin L i 424.6636 2113.8155
## 319 hyunjin L i 836.9017 2341.8296
## 320 hyunjin L i 983.5386 1847.6766
## 321 hyunjin L i 516.9196 1537.6923
## 322 hyunjin L i 531.3119 1903.4490
## 323 hyunjin L i 551.7726 1737.7626
## 324 hyunjin L i 684.7635 1723.0966
## 325 hyunjin L ii 481.0841 2075.6209
## 326 hyunjin L ii 415.4858 2343.2084
## 327 hyunjin L ii 535.4360 2101.7189
## 328 hyunjin L ii 442.4923 2306.4019
## 329 hyunjin L ii 506.9722 2302.5628
## 330 hyunjin L ii 430.5809 1940.9464
## 331 hyunjin L ii 969.8100 2630.1545
## 332 hyunjin L ii 753.7938 1863.0450
## 333 hyunjin L ii 616.2465 1800.9805
## 334 hyunjin L ii 748.6430 1859.3230
## 335 hyunjin L ii 615.4015 1863.2553
## 336 hyunjin L ii 474.8288 1963.9868
## 337 hyunjin L ii 501.9593 1976.6453
## 338 hyunjin L ii 492.8123 2004.6754
## 339 hyunjin L ii 382.4688 2292.5706
## 340 hyunjin L ii 422.3644 1036.0487
## 341 hyunjin L ii 593.4460 1735.9898
## 342 hyunjin L ii 517.8793 2050.1173
## 343 hyunjin L ii 459.2368 2326.1715
## 344 hyunjin L ii 485.2121 2307.7337
## 345 hyunjin L ii 383.4373 2238.4870
## 346 hyunjin L ii 973.5795 2588.5300
## 347 hyunjin L ii 457.2481 1578.4893
## 348 hyunjin L ii 473.8937 1926.8366
## 349 hyunjin L ii 588.3947 1912.8546
## 350 hyunjin L ii 614.0787 2023.2252
## 351 hyunjin L ii 467.6788 2029.4118
## 352 hyunjin L ii 688.0103 2014.8584
## 353 hyunjin L ii 726.5955 2075.6479
## 354 hyunjin L ii 622.4222 2199.5194
## 355 hyunjin L ii 702.4797 1640.5631
## 356 hyunjin L ii 498.3728 1895.9183
## 357 hyunjin L ii 589.0399 1767.1908
## 358 hyunjin L o 707.1164 1394.5885
## 359 hyunjin L o 551.2420 1364.6494
## 360 hyunjin L o 574.8912 1450.7534
## 361 hyunjin L o 563.1511 1340.0392
## 362 hyunjin L o 533.3339 1435.5166
## 363 hyunjin L o 725.2991 1254.9513
## 364 hyunjin L o 694.4152 1192.4732
## 365 hyunjin L oo 525.3748 1345.6662
## 366 hyunjin L oo 806.9273 1763.3737
## 367 hyunjin L oo 477.5731 1249.2537
## 368 hyunjin L oo 516.0293 1268.0934
## 369 hyunjin L oo 806.9077 1358.7802
## 370 hyunjin L oo 474.5990 809.1724
## 371 hyunjin L u 685.9769 1411.2533
## 372 hyunjin L u 422.7385 1280.6028
## 373 hyunjin L u 653.5276 1192.6875
## 374 hyunjin L u 723.6698 1629.9948
## 375 hyunjin L u 833.1825 1651.0180
## 376 hyunjin L uu 659.2642 1775.9693
## 377 hyunjin L uu 548.1584 1688.0967
## 378 hyunjin L uu 696.9505 1757.9964
## 379 hyunjin L uu 585.3791 1692.2371
## 380 hyunjin L eo 847.3139 1478.1946
## 381 hyunjin L eo 828.9850 1324.7792
## 382 hyunjin L eo 856.9353 1452.8216
## 383 hyunjin L eo 810.6818 1328.6211
## 384 hyunjin L eo 808.4831 1192.3170
## 385 jisung L a 961.4137 1599.8157
## 386 jisung L a 836.7008 1481.1206
## 387 jisung L a 833.3488 1662.8875
## 388 jisung L a 1010.9967 1676.9029
## 389 jisung L a 856.7217 1594.6711
## 390 jisung L a 941.0160 1665.9101
## 391 jisung L a 876.2311 1474.9486
## 392 jisung L a 835.5586 1729.3300
## 393 jisung L a 903.9913 1671.3101
## 394 jisung L a 658.3967 1655.2064
## 395 jisung L a 1001.2340 1839.5444
## 396 jisung L a 1109.9205 1846.3167
## 397 jisung L a 928.7131 1694.1501
## 398 jisung L ae 848.2402 1891.0681
## 399 jisung L ae 779.2023 1773.6849
## 400 jisung L ae 774.0043 1205.2864
## 401 jisung L aa 893.4399 1674.4239
## 402 jisung L aa 1009.8331 1665.7177
## 403 jisung L aa 988.6246 1665.9361
## 404 jisung L aa 1032.7899 1628.5287
## 405 jisung L aa 856.3301 1648.4443
## 406 jisung L aa 1002.9217 1810.3371
## 407 jisung L aa 843.7021 1246.3131
## 408 jisung L aa 974.9150 1566.0510
## 409 jisung L aa 837.3867 1644.2630
## 410 jisung L aa 797.0073 1583.9844
## 411 jisung L aa 667.7939 1244.7700
## 412 jisung L e 712.3863 2078.3320
## 413 jisung L e 785.1673 1693.7147
## 414 jisung L e 733.7085 1933.2250
## 415 jisung L e 687.0675 1811.2200
## 416 jisung L e 750.7419 2137.8911
## 417 jisung L e 820.4895 1898.1501
## 418 jisung L ee 653.4155 1815.6927
## 419 jisung L ee 934.1466 1504.5006
## 420 jisung L ee 880.1408 1769.6128
## 421 jisung L ee 979.1211 1513.7623
## 422 jisung L ee 644.9841 1649.4290
## 423 jisung L ee 646.1243 1785.7285
## 424 jisung L ee 623.3074 1565.2371
## 425 jisung L ee 687.5088 1753.0328
## 426 jisung L ee 643.7819 1648.3261
## 427 jisung L ee 587.0071 1593.8231
## 428 jisung L ee 809.6871 1817.1788
## 429 jisung L eh 796.4416 1763.7829
## 430 jisung L eh 890.3271 1916.4691
## 431 jisung L eh 777.1041 1834.8029
## 432 jisung L eh 742.6836 1620.9648
## 433 jisung L eh 794.7719 1791.5729
## 434 jisung L eh 593.7121 1887.8617
## 435 jisung L eh 760.4870 1829.0516
## 436 jisung L i 1036.5024 2176.9519
## 437 jisung L i 855.9786 2348.6334
## 438 jisung L i 887.9140 1761.3549
## 439 jisung L i 731.7781 2330.4472
## 440 jisung L i 831.0464 2220.1007
## 441 jisung L i 627.9180 2270.2836
## 442 jisung L i 1403.4903 2188.7496
## 443 jisung L i 802.2028 1864.7995
## 444 jisung L i 494.6445 2055.1687
## 445 jisung L i 1066.5328 2262.4692
## 446 jisung L i 691.2250 1925.1739
## 447 jisung L i 770.9265 2116.7571
## 448 jisung L i 390.5204 2028.9681
## 449 jisung L ii 914.2749 1764.9040
## 450 jisung L ii 737.8204 2133.8082
## 451 jisung L ii 840.6191 1950.9021
## 452 jisung L ii 609.6657 2225.6530
## 453 jisung L ii 829.4761 1794.0616
## 454 jisung L ii 1518.9878 2094.1611
## 455 jisung L ii 743.3454 2172.0552
## 456 jisung L ii 550.7769 1941.7815
## 457 jisung L ii 882.1174 1932.0649
## 458 jisung L ii 712.6599 2004.2497
## 459 jisung L ii 1490.3521 2082.3434
## 460 jisung L ii 1121.4569 2478.3962
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## 882 jeongin L a 846.9223 1718.7224
## 883 jeongin L a 774.7454 1833.4003
## 884 jeongin L a 914.0948 1807.5402
## 885 jeongin L a 938.5134 1731.1271
## 886 jeongin L a 972.1006 1848.6774
## 887 jeongin L ae 798.6796 1978.8428
## 888 jeongin L ae 723.4144 1972.5173
## 889 jeongin L ae 657.6282 1832.4898
## 890 jeongin L ae 789.5097 1942.2205
## 891 jeongin L ae 726.2006 1737.3128
## 892 jeongin L ae 690.7655 1874.5589
## 893 jeongin L ae 843.1820 2027.9164
## 894 jeongin L ae 689.7900 1728.0487
## 895 jeongin L ae 918.5076 1994.3484
## 896 jeongin L aa 981.3156 1671.1682
## 897 jeongin L aa 955.3497 1740.1898
## 898 jeongin L aa 947.6140 1664.3260
## 899 jeongin L aa 817.9693 1579.9706
## 900 jeongin L aa 829.9792 1626.1812
## 901 jeongin L aa 805.7314 1115.3772
## 902 jeongin L aa 712.6448 1689.3477
## 903 jeongin L e 567.9354 1963.0737
## 904 jeongin L e 626.4377 1915.0574
## 905 jeongin L e 726.5939 1985.1532
## 906 jeongin L e 724.8586 2207.0049
## 907 jeongin L e 951.8553 2069.7770
## 908 jeongin L e 679.5684 2085.8831
## 909 jeongin L ee 718.8139 1605.6345
## 910 jeongin L ee 712.7516 1926.4795
## 911 jeongin L ee 527.0137 1755.1013
## 912 jeongin L ee 625.3562 1549.0552
## 913 jeongin L ee 726.5141 1913.2653
## 914 jeongin L ee 666.9589 2144.5151
## 915 jeongin L ee 667.7428 1687.5774
## 916 jeongin L ee 579.5474 1598.3170
## 917 jeongin L ee 644.0021 1359.8181
## 918 jeongin L ee 570.9653 1584.1530
## 919 jeongin L ee 671.5125 1346.5068
## 920 jeongin L ee 706.2547 1558.3332
## 921 jeongin L ee 767.7736 1415.1903
## 922 jeongin L ee 659.8650 1712.4011
## 923 jeongin L ee 378.8760 1687.3642
## 924 jeongin L ee 484.4053 1755.8740
## 925 jeongin L ee 600.0615 1486.2668
## 926 jeongin L ee 758.1358 1241.9365
## 927 jeongin L eh 611.5934 1707.9916
## 928 jeongin L eh 640.1596 1732.1371
## 929 jeongin L eh 638.6476 1780.4365
## 930 jeongin L eh 676.5838 1933.0611
## 931 jeongin L eh 757.7514 2122.9174
## 932 jeongin L eh 532.1408 1802.4939
## 933 jeongin L eh 528.8452 1774.7169
## 934 jeongin L eh 699.6411 2053.3795
## 935 jeongin L eh 747.8361 1878.9947
## 936 jeongin L eeh 564.8087 1488.8329
## 937 jeongin L i 580.2799 2304.2721
## 938 jeongin L i 768.2954 2371.7973
## 939 jeongin L i 758.9281 2020.1113
## 940 jeongin L i 634.6172 1770.7624
## 941 jeongin L i 640.8017 1729.3867
## 942 jeongin L i 680.1854 1726.0983
## 943 jeongin L i 603.2808 1684.2011
## 944 jeongin L i 1597.1183 2248.3178
## 945 jeongin L i 801.4486 2192.9897
## 946 jeongin L i 390.1276 2416.0482
## 947 jeongin L i 444.1703 2127.9227
## 948 jeongin L i 399.6981 2165.6282
## 949 jeongin L i 483.2071 2210.2171
## 950 jeongin L ii 587.6811 1568.8803
## 951 jeongin L ii 1126.9538 2427.4877
## 952 jeongin L ii 232.4893 1395.1083
## 953 jeongin L ii 640.0925 1711.9142
## 954 jeongin L ii 565.4954 1313.7988
## 955 jeongin L ii 413.6742 2139.7388
## 956 jeongin L ii 421.1018 1862.8640
## 957 jeongin L ii 404.9858 2072.7032
## 958 jeongin L ii 409.1698 1923.4246
## 959 jeongin L ii 319.1936 1453.6320
## 960 jeongin L ii 594.9153 2196.9686
## 961 jeongin L ii 506.7765 2101.6024
## 962 jeongin L o 964.9757 1416.6353
## 963 jeongin L o 626.1838 1254.9390
## 964 jeongin L o 708.5157 1354.4558
## 965 jeongin L o 827.9920 1334.7353
## 966 jeongin L oo 657.4671 1439.0795
## 967 jeongin L oo 784.9515 1461.5593
## 968 jeongin L oo 780.9860 1408.8263
## 969 jeongin L oo 847.3801 1305.6540
## 970 jeongin L oo 689.3658 1341.9324
## 971 jeongin L oo 703.7066 1229.3643
## 972 jeongin L oo 854.4684 1174.6815
## 973 jeongin L oo 941.6956 1445.2433
## 974 jeongin L u 761.1345 1687.8942
## 975 jeongin L u 684.5348 1712.5621
## 976 jeongin L u 1087.7683 1998.4591
## 977 jeongin L u 379.6041 1469.0495
## 978 jeongin L u 454.2184 1465.6421
## 979 jeongin L u 855.5922 1722.0937
## 980 jeongin L u 489.8319 1614.4171
## 981 jeongin L u 893.5952 2100.3672
## 982 jeongin L u 719.7484 2105.0876
## 983 jeongin L eo 607.7904 1593.9917
## 984 jeongin L eo 864.1516 1672.4260
## 985 jeongin L eo 975.1224 1552.0434
## 986 jeongin L eo 759.0514 1531.9375
## 987 jeongin L eo 860.3604 1591.6656
## 988 jeongin L eo 723.3481 1473.8594
## 989 jeongin L eo 818.9724 1172.6843
## 990 jeongin L eo 704.9471 1629.7739
## 991 jeongin L eo 703.4148 1546.9093
## 992 jeongin L eo 773.7670 1696.6497
## 993 jeongin L eo 784.3938 1743.2866
## 994 jeongin L eo 627.9673 1409.8470
## 995 jeongin L eo 620.5292 1335.0454
## 996 jeongin L eo 888.9718 1751.4428
contrasts <- cbind (c(+0.5, -0.5))
colnames (contrasts) <- c("-N+L")
contrasts (table$PROFICIENCY) <- contrasts
contrasts (table$PROFICIENCY)
## -N+L
## L 0.5
## N -0.5
model <- lmerTest::lmer (F1..HZ. ~ PROFICIENCY + (PROFICIENCY | VOWEL) + (1 | SPEAKER), data=table)
## boundary (singular) fit: see help('isSingular')
summary (model)
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: F1..HZ. ~ PROFICIENCY + (PROFICIENCY | VOWEL) + (1 | SPEAKER)
## Data: table
##
## REML criterion at convergence: 12870.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9451 -0.5827 -0.0062 0.5023 6.1275
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## VOWEL (Intercept) 3.119e+03 55.8469
## PROFICIENCY-N+L 2.138e-01 0.4624 1.00
## SPEAKER (Intercept) 3.155e+03 56.1676
## Residual 2.326e+04 152.4978
## Number of obs: 996, groups: VOWEL, 14; SPEAKER, 8
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 696.832 28.397 11.098 24.539 5.07e-11 ***
## PROFICIENCY-N+L 93.035 47.648 5.943 1.953 0.0992 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## PROFICIENCY -0.414
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
confint (model)
## Computing profile confidence intervals ...
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): unexpected decrease in
## profile: using minstep
## Warning in FUN(X[[i]], ...): non-monotonic profile for .sig03
## Warning in confint.thpr(pp, level = level, zeta = zeta): bad spline fit for
## .sig03: falling back to linear interpolation
## 2.5 % 97.5 %
## .sig01 37.378849 86.77189
## .sig02 -1.000000 1.00000
## .sig03 0.000000 18.33850
## .sig04 29.844307 92.25755
## .sigma 145.975460 159.51271
## (Intercept) 641.837304 751.37089
## PROFICIENCY-N+L -1.009947 187.77558
model2 <- lmerTest::lmer (F2..HZ. ~ PROFICIENCY + (PROFICIENCY | VOWEL) + (1 | SPEAKER), data=table)
summary (model2)
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: F2..HZ. ~ PROFICIENCY + (PROFICIENCY | VOWEL) + (1 | SPEAKER)
## Data: table
##
## REML criterion at convergence: 13439.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.9038 -0.5080 0.0042 0.5546 3.4200
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## VOWEL (Intercept) 39189 197.96
## PROFICIENCY-N+L 2142 46.28 0.94
## SPEAKER (Intercept) 7987 89.37
## Residual 40099 200.25
## Number of obs: 996, groups: VOWEL, 14; SPEAKER, 8
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1604.505 65.119 17.884 24.640 2.98e-15 ***
## PROFICIENCY-N+L 94.088 76.041 5.762 1.237 0.264
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## PROFICIENCY -0.155
confint (model2)
## Computing profile confidence intervals ...
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in nextpar(mat, cc, i, delta, lowcut, upcut): Last two rows have
## identical or NA .zeta values: using minstep
## Warning in FUN(X[[i]], ...): non-monotonic profile for .sig02
## Warning in confint.thpr(pp, level = level, zeta = zeta): bad spline fit for
## .sig02: falling back to linear interpolation
## Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm):
## collapsing to unique 'x' values
## 2.5 % 97.5 %
## .sig01 135.8993611 295.99725
## .sig02 0.1368524 1.00000
## .sig03 10.1570737 96.67594
## .sig04 46.9900055 153.58238
## .sigma 191.6539769 209.54825
## (Intercept) 1477.0241671 1731.58045
## PROFICIENCY-N+L -61.2142111 249.11793