Comparing accessions to the average of the most extreme - IT97K-499, subsetted by day and facet by treatment
library("ggplot2")
library("cowplot")
library("ggpubr")##
## Attaching package: 'ggpubr'## The following object is masked from 'package:cowplot':
##
## get_legendlibrary("reshape2")
setwd("/Users/julkowskalab/Desktop/Fall 2021 Cowpea analysis")
list.files(pattern=".csv")## [1] "cowpea_pot_geno_HS.csv"
## [2] "photo_data_fall2021_HSOK.csv"
## [3] "photo_data_fall2021_HSOK.xlsx - Photosynthesis RIDES 2.0.csv"Photo_fall21 <- read.csv("photo_data_fall2021_HSOK.csv")
geno <- read.csv("/Users/julkowskalab/Desktop/Fall 2021 Cowpea analysis/cowpea_pot_geno_HS.csv")
Photosyn_selected <- Photo_fall21[,c(5, 4, 3, 26, 28, 32:33, 35:38, 42, 48, 52)]
Photosyn_geno <- merge(Photosyn_selected, geno, all = TRUE)
Photosyn_geno <- na.omit(Photosyn_geno)
Photosyn_geno[order(Photosyn_geno$Day),]## Pot.number Day Treatment FoPrime PhiNPQ FvP_over_FmP FmPrime
## 7 1 12 Control 343 0.104 0.765 1457.11
## 14 2 12 Control 369 0.090 0.771 1609.82
## 21 3 12 Control 326 0.088 0.776 1452.38
## 28 4 12 Control 419 0.172 0.717 1479.84
## 35 5 12 Control 401 0.133 0.746 1576.68
## 42 6 12 Control 336 0.082 0.776 1497.66
## 49 7 12 Control 337 0.087 0.767 1444.92
## 56 8 12 Control 363 0.102 0.761 1519.21
## 63 9 12 Control 518 0.245 0.630 1401.30
## 70 10 12 Control 389 0.141 0.742 1505.45
## 77 11 12 Control 298 0.191 0.714 1042.08
## 84 12 12 Control 343 0.069 0.778 1545.97
## 91 13 12 Control 325 0.113 0.758 1345.21
## 98 14 12 Control 343 0.095 0.762 1442.96
## 105 15 12 Control 341 0.103 0.766 1459.27
## 112 16 12 Control 321 0.112 0.764 1362.36
## 119 17 12 Control 360 0.077 0.776 1604.68
## 126 18 12 Control 350 0.100 0.765 1486.38
## 133 19 12 Control 371 0.114 0.751 1492.54
## 140 20 12 Control 404 0.128 0.738 1542.85
## 147 21 12 Control 272 0.169 0.729 1002.67
## 154 22 12 Control 356 0.115 0.752 1432.99
## 161 23 12 Control 295 0.127 0.751 1183.95
## 168 24 12 Control 369 0.103 0.754 1502.47
## 175 25 12 Control 385 0.154 0.730 1424.99
## 182 26 12 Control 303 0.198 0.712 1050.44
## 189 27 12 Control 400 0.133 0.733 1495.92
## 196 28 12 Control 335 0.112 0.760 1398.70
## 203 29 12 Control 351 0.102 0.762 1472.93
## 210 30 12 Control 431 0.152 0.723 1557.83
## 217 31 12 Control 258 0.170 0.726 940.79
## 224 32 12 Control 299 0.101 0.764 1269.54
## 231 33 12 Control 358 0.129 0.747 1416.67
## 238 34 12 Control 302 0.116 0.759 1254.66
## 245 35 12 Control 330 0.130 0.744 1289.16
## 252 36 12 Drought 398 0.239 0.661 1175.27
## 259 37 12 Drought 381 0.181 0.710 1314.91
## 266 38 12 Drought 363 0.153 0.735 1370.49
## 273 39 12 Drought 452 0.232 0.657 1317.19
## 280 40 12 Drought 383 0.161 0.724 1385.97
## 287 41 12 Drought 313 0.126 0.740 1203.07
## 294 42 12 Drought 342 0.104 0.756 1401.96
## 301 43 12 Drought 341 0.103 0.761 1426.13
## 308 44 12 Drought 325 0.098 0.755 1326.24
## 315 45 12 Drought 379 0.146 0.735 1432.16
## 322 46 12 Drought 286 0.122 0.756 1170.98
## 329 47 12 Drought 354 0.098 0.760 1477.80
## 336 48 12 Drought 302 0.130 0.747 1193.82
## 343 49 12 Drought 373 0.115 0.741 1442.45
## 349 50 12 Drought 367 0.120 0.746 1447.29
## 356 51 12 Drought 292 0.178 0.727 1069.15
## 367 54 12 Drought 316 0.124 0.752 1272.96
## 373 55 12 Drought 381 0.125 0.742 1477.87
## 379 56 12 Drought 445 0.210 0.674 1365.78
## 385 57 12 Drought 331 0.126 0.751 1331.25
## 391 58 12 Drought 356 0.129 0.743 1387.72
## 397 59 12 Drought 363 0.138 0.743 1410.15
## 403 60 12 Drought 325 0.077 0.780 1479.41
## 409 61 12 Drought 279 0.117 0.758 1150.76
## 415 62 12 Drought 315 0.080 0.779 1423.13
## 421 63 12 Drought 335 0.093 0.770 1456.99
## 427 64 12 Drought 325 0.095 0.769 1406.39
## 432 65 12 Drought 330 0.080 0.778 1484.05
## 438 66 12 Drought 318 0.134 0.747 1255.99
## 444 67 12 Drought 340 0.119 0.754 1384.05
## 450 68 12 Drought 323 0.187 0.719 1147.97
## 456 69 12 Drought 303 0.088 0.774 1339.92
## 462 70 12 Drought 331 0.123 0.752 1334.20
## 469 71 12 Salt 392 0.173 0.707 1335.81
## 475 72 12 Salt 315 0.076 0.780 1434.11
## 481 73 12 Salt 325 0.101 0.767 1394.26
## 487 74 12 Salt 264 0.080 0.779 1193.07
## 493 75 12 Salt 335 0.081 0.776 1497.96
## 499 76 12 Salt 266 0.183 0.711 921.43
## 511 78 12 Salt 307 0.123 0.751 1232.28
## 525 80 12 Salt 395 0.122 0.742 1528.53
## 532 81 12 Salt 362 0.141 0.747 1428.91
## 540 83 12 Salt 309 0.117 0.754 1254.56
## 548 85 12 Salt 284 0.103 0.766 1214.91
## 555 86 12 Salt 317 0.117 0.758 1309.88
## 562 87 12 Salt 357 0.083 0.767 1529.49
## 569 88 12 Salt 318 0.090 0.770 1385.32
## 576 89 12 Salt 327 0.088 0.770 1419.02
## 583 90 12 Salt 324 0.089 0.771 1413.75
## 590 91 12 Salt 267 0.157 0.732 997.57
## 597 92 12 Salt 381 0.096 0.760 1584.23
## 604 93 12 Salt 330 0.098 0.767 1413.71
## 611 94 12 Salt 367 0.092 0.764 1556.20
## 618 95 12 Salt 362 0.084 0.769 1570.30
## 625 96 12 Salt 289 0.178 0.720 1032.24
## 630 97 12 Salt 218 0.127 0.752 879.61
## 639 99 12 Salt 340 0.086 0.770 1477.67
## 646 100 12 Salt 352 0.107 0.755 1439.10
## 653 101 12 Salt 285 0.133 0.744 1114.65
## 660 102 12 Salt 348 0.095 0.762 1461.83
## 667 103 12 Salt 319 0.136 0.738 1219.74
## 674 104 12 Salt 359 0.098 0.761 1502.69
## 681 105 12 Salt 366 0.135 0.743 1422.32
## 6 1 14 Control 353 0.134 0.742 1368.85
## 13 2 14 Control 413 0.102 0.749 1646.23
## 20 3 14 Control 387 0.084 0.774 1715.35
## 27 4 14 Control 404 0.096 0.757 1662.66
## 34 5 14 Control 411 0.095 0.756 1686.16
## 41 6 14 Control 372 0.102 0.764 1573.63
## 48 7 14 Control 360 0.086 0.771 1572.80
## 55 8 14 Control 391 0.092 0.766 1672.32
## 62 9 14 Control 382 0.103 0.751 1533.99
## 69 10 14 Control 383 0.092 0.762 1605.95
## 76 11 14 Control 265 0.196 0.703 890.84
## 83 12 14 Control 346 0.090 0.770 1501.69
## 90 13 14 Control 353 0.110 0.758 1458.68
## 97 14 14 Control 342 0.092 0.767 1469.30
## 104 15 14 Control 365 0.151 0.728 1343.32
## 111 16 14 Control 316 0.149 0.739 1209.46
## 118 17 14 Control 355 0.102 0.763 1500.85
## 125 18 14 Control 346 0.089 0.773 1524.24
## 132 19 14 Control 355 0.100 0.765 1508.09
## 139 20 14 Control 338 0.079 0.779 1527.07
## 146 21 14 Control 318 0.126 0.751 1278.17
## 153 22 14 Control 353 0.088 0.771 1541.68
## 160 23 14 Control 297 0.126 0.749 1182.90
## 167 24 14 Control 316 0.089 0.772 1383.95
## 174 25 14 Control 338 0.099 0.767 1450.31
## 181 26 14 Control 317 0.131 0.742 1229.45
## 188 27 14 Control 379 0.099 0.753 1536.68
## 195 28 14 Control 328 0.087 0.774 1448.79
## 202 29 14 Control 337 0.082 0.775 1500.32
## 209 30 14 Control 333 0.092 0.770 1444.81
## 216 31 14 Control 286 0.120 0.753 1156.93
## 223 32 14 Control 332 0.104 0.753 1346.15
## 230 33 14 Control 335 0.102 0.765 1424.29
## 237 34 14 Control 330 0.106 0.760 1373.35
## 244 35 14 Control 348 0.221 0.681 1092.35
## 251 36 14 Drought 313 0.109 0.758 1294.02
## 258 37 14 Drought 367 0.094 0.758 1515.36
## 265 38 14 Drought 359 0.098 0.767 1537.78
## 272 39 14 Drought 357 0.102 0.757 1468.08
## 279 40 14 Drought 341 0.103 0.760 1418.16
## 286 41 14 Drought 320 0.107 0.759 1327.75
## 293 42 14 Drought 335 0.090 0.764 1421.17
## 300 43 14 Drought 355 0.088 0.770 1541.34
## 307 44 14 Drought 373 0.130 0.738 1422.69
## 314 45 14 Drought 347 0.172 0.711 1200.89
## 321 46 14 Drought 294 0.111 0.756 1203.13
## 328 47 14 Drought 352 0.094 0.759 1463.31
## 335 48 14 Drought 296 0.118 0.755 1206.97
## 342 49 14 Drought 356 0.114 0.750 1426.06
## 348 50 14 Drought 329 0.110 0.757 1353.48
## 355 51 14 Drought 276 0.147 0.734 1039.10
## 366 54 14 Drought 314 0.077 0.778 1417.19
## 372 55 14 Drought 367 0.142 0.730 1361.53
## 378 56 14 Drought 446 0.155 0.708 1527.36
## 384 57 14 Drought 312 0.089 0.771 1364.93
## 390 58 14 Drought 348 0.081 0.772 1523.74
## 396 59 14 Drought 325 0.095 0.768 1400.74
## 402 60 14 Drought 332 0.092 0.771 1449.01
## 408 61 14 Drought 261 0.129 0.749 1038.66
## 414 62 14 Drought 314 0.070 0.784 1450.75
## 420 63 14 Drought 311 0.066 0.785 1443.35
## 426 64 14 Drought 311 0.083 0.777 1397.62
## 431 65 14 Drought 337 0.124 0.747 1333.60
## 437 66 14 Drought 316 0.147 0.738 1205.30
## 443 67 14 Drought 341 0.111 0.759 1416.99
## 449 68 14 Drought 300 0.122 0.754 1220.45
## 455 69 14 Drought 299 0.101 0.760 1243.58
## 461 70 14 Drought 337 0.192 0.709 1157.89
## 468 71 14 Salt 314 0.122 0.753 1273.76
## 474 72 14 Salt 357 0.106 0.759 1481.50
## 480 73 14 Salt 315 0.114 0.758 1302.08
## 486 74 14 Salt 278 0.096 0.770 1211.11
## 492 75 14 Salt 383 0.117 0.745 1502.42
## 498 76 14 Salt 283 0.161 0.729 1045.25
## 504 77 14 Salt 270 0.140 0.737 1027.96
## 510 78 14 Salt 317 0.118 0.757 1302.64
## 517 79 14 Salt 337 0.117 0.745 1321.10
## 524 80 14 Salt 368 0.107 0.755 1503.14
## 531 81 14 Salt 315 0.112 0.762 1324.32
## 539 83 14 Salt 299 0.107 0.761 1252.66
## 547 85 14 Salt 292 0.129 0.748 1158.21
## 554 86 14 Salt 319 0.105 0.765 1358.97
## 561 87 14 Salt 375 0.093 0.763 1580.99
## 568 88 14 Salt 363 0.115 0.752 1466.38
## 575 89 14 Salt 343 0.111 0.753 1388.25
## 582 90 14 Salt 422 0.251 0.646 1193.53
## 589 91 14 Salt 315 0.106 0.762 1322.13
## 596 92 14 Salt 351 0.121 0.745 1377.27
## 603 93 14 Salt 361 0.118 0.754 1469.10
## 610 94 14 Salt 328 0.088 0.773 1443.69
## 617 95 14 Salt 373 0.175 0.703 1257.95
## 624 96 14 Salt 229 0.227 0.679 712.82
## 629 97 14 Salt 237 0.081 0.780 1075.40
## 638 99 14 Salt 367 0.109 0.757 1511.53
## 645 100 14 Salt 371 0.201 0.680 1157.88
## 652 101 14 Salt 292 0.148 0.735 1103.16
## 659 102 14 Salt 352 0.102 0.757 1446.12
## 666 103 14 Salt 336 0.140 0.744 1314.95
## 673 104 14 Salt 389 0.137 0.734 1463.67
## 680 105 14 Salt 335 0.125 0.744 1308.21
## 5 1 16 Control 424 0.181 0.717 1496.55
## 12 2 16 Control 481 0.208 0.693 1565.74
## 19 3 16 Control 503 0.207 0.692 1635.29
## 26 4 16 Control 522 0.274 0.614 1353.84
## 33 5 16 Control 480 0.393 0.548 1062.55
## 40 6 16 Control 405 0.119 0.755 1653.61
## 47 7 16 Control 367 0.135 0.747 1451.22
## 54 8 16 Control 439 0.142 0.736 1664.95
## 61 9 16 Control 448 0.171 0.711 1551.54
## 68 10 16 Control 387 0.120 0.752 1558.06
## 75 11 16 Control 297 0.163 0.731 1105.25
## 82 12 16 Control 390 0.109 0.758 1612.42
## 89 13 16 Control 364 0.109 0.764 1541.49
## 96 14 16 Control 375 0.111 0.759 1558.99
## 103 15 16 Control 381 0.141 0.739 1460.68
## 110 16 16 Control 295 0.155 0.742 1143.84
## 117 17 16 Control 427 0.154 0.730 1579.65
## 124 18 16 Control 442 0.147 0.717 1561.39
## 131 19 16 Control 355 0.100 0.765 1513.69
## 138 20 16 Control 346 0.088 0.773 1525.23
## 145 21 16 Control 342 0.127 0.751 1375.97
## 152 22 16 Control 436 0.156 0.722 1569.45
## 159 23 16 Control 372 0.091 0.767 1596.41
## 166 24 16 Control 411 0.192 0.702 1380.79
## 173 25 16 Control 359 0.148 0.733 1342.30
## 180 26 16 Control 317 0.097 0.767 1360.68
## 187 27 16 Control 411 0.120 0.743 1601.09
## 194 28 16 Control 321 0.074 0.781 1467.82
## 201 29 16 Control 336 0.083 0.774 1488.98
## 208 30 16 Control 377 0.101 0.762 1586.12
## 215 31 16 Control 293 0.105 0.764 1241.25
## 222 32 16 Control 361 0.138 0.738 1376.09
## 229 33 16 Control 406 0.167 0.717 1434.57
## 236 34 16 Control 367 0.183 0.712 1272.30
## 243 35 16 Control 359 0.230 0.677 1112.45
## 250 36 16 Drought 317 0.169 0.725 1152.63
## 257 37 16 Drought 361 0.226 0.688 1157.87
## 264 38 16 Drought 370 0.136 0.744 1447.11
## 271 39 16 Drought 339 0.107 0.761 1418.46
## 278 40 16 Drought 356 0.149 0.733 1334.80
## 285 41 16 Drought 322 0.141 0.744 1258.21
## 292 42 16 Drought 409 0.167 0.725 1486.26
## 299 43 16 Drought 409 0.182 0.711 1415.95
## 306 44 16 Drought 315 0.119 0.753 1277.65
## 313 45 16 Drought 365 0.255 0.660 1073.01
## 320 46 16 Drought 275 0.105 0.764 1163.72
## 327 47 16 Drought 345 0.101 0.763 1456.68
## 334 48 16 Drought 285 0.088 0.773 1257.52
## 341 49 16 Drought 331 0.101 0.764 1404.56
## 347 50 16 Drought 329 0.106 0.760 1368.14
## 354 51 16 Drought 267 0.129 0.752 1074.82
## 365 54 16 Drought 299 0.090 0.773 1315.18
## 371 55 16 Drought 385 0.181 0.708 1316.31
## 377 56 16 Drought 366 0.111 0.756 1498.55
## 383 57 16 Drought 288 0.101 0.767 1237.13
## 389 58 16 Drought 362 0.094 0.768 1560.05
## 395 59 16 Drought 329 0.105 0.763 1387.94
## 401 60 16 Drought 353 0.177 0.712 1227.01
## 407 61 16 Drought 256 0.137 0.746 1007.42
## 413 62 16 Drought 339 0.111 0.759 1406.75
## 419 63 16 Drought 315 0.076 0.781 1437.35
## 425 64 16 Drought 306 0.122 0.753 1240.36
## 430 65 16 Drought 337 0.163 0.724 1221.19
## 436 66 16 Drought 309 0.138 0.746 1216.62
## 442 67 16 Drought 352 0.118 0.753 1426.65
## 448 68 16 Drought 321 0.172 0.729 1185.22
## 454 69 16 Drought 297 0.092 0.772 1302.31
## 460 70 16 Drought 328 0.170 0.724 1189.20
## 466 71 16 Salt 357 0.151 0.730 1322.55
## 467 71 16 Drought 333 0.114 0.751 1339.76
## 473 72 16 Salt 336 0.116 0.740 1291.89
## 479 73 16 Salt 324 0.117 0.755 1324.19
## 485 74 16 Salt 312 0.111 0.760 1300.19
## 491 75 16 Salt 411 0.123 0.738 1568.48
## 497 76 16 Salt 289 0.097 0.768 1246.45
## 503 77 16 Salt 345 0.143 0.742 1334.88
## 509 78 16 Salt 303 0.101 0.765 1287.52
## 516 79 16 Salt 320 0.107 0.761 1336.94
## 523 80 16 Salt 323 0.090 0.769 1398.30
## 530 81 16 Salt 374 0.125 0.749 1492.35
## 538 83 16 Salt 314 0.127 0.747 1240.48
## 546 85 16 Salt 299 0.107 0.757 1230.97
## 553 86 16 Salt 326 0.101 0.766 1395.43
## 560 87 16 Salt 335 0.083 0.775 1487.36
## 567 88 16 Salt 313 0.081 0.777 1403.45
## 574 89 16 Salt 316 0.092 0.770 1375.01
## 581 90 16 Salt 447 0.146 0.733 1674.50
## 588 91 16 Salt 336 0.105 0.765 1431.72
## 595 92 16 Salt 351 0.123 0.749 1396.22
## 602 93 16 Salt 326 0.099 0.769 1412.05
## 609 94 16 Salt 321 0.083 0.774 1418.81
## 616 95 16 Salt 339 0.104 0.763 1430.57
## 623 96 16 Salt 275 0.121 0.754 1119.01
## 628 97 16 Salt 222 0.097 0.774 981.37
## 637 99 16 Salt 407 0.139 0.725 1482.39
## 644 100 16 Salt 335 0.127 0.750 1338.54
## 651 101 16 Salt 275 0.111 0.762 1155.41
## 658 102 16 Salt 333 0.095 0.766 1423.38
## 665 103 16 Salt 290 0.105 0.764 1227.78
## 672 104 16 Salt 335 0.103 0.763 1412.40
## 679 105 16 Salt 331 0.127 0.750 1326.15
## 4 1 19 Control 465 0.201 0.694 1520.71
## 11 2 19 Control 369 0.105 0.761 1544.38
## 18 3 19 Control 429 0.121 0.745 1683.06
## 25 4 19 Control 387 0.132 0.731 1438.18
## 32 5 19 Control 401 0.155 0.726 1462.78
## 39 6 19 Control 362 0.216 0.680 1129.82
## 46 7 19 Control 376 0.118 0.744 1469.56
## 53 8 19 Control 430 0.148 0.724 1559.25
## 60 9 19 Control 431 0.149 0.729 1590.69
## 67 10 19 Control 369 0.129 0.744 1442.57
## 74 11 19 Control 295 0.204 0.696 969.37
## 81 12 19 Control 370 0.135 0.742 1432.42
## 88 13 19 Control 430 0.170 0.725 1563.18
## 95 14 19 Control 343 0.112 0.754 1394.60
## 102 15 19 Control 375 0.146 0.731 1396.50
## 109 16 19 Control 314 0.156 0.733 1175.88
## 116 17 19 Control 359 0.124 0.747 1419.37
## 123 18 19 Control 353 0.096 0.765 1504.36
## 130 19 19 Control 357 0.104 0.760 1488.23
## 137 20 19 Control 336 0.090 0.767 1444.86
## 144 21 19 Control 331 0.114 0.757 1361.12
## 151 22 19 Control 363 0.107 0.754 1474.52
## 158 23 19 Control 349 0.089 0.765 1487.45
## 165 24 19 Control 339 0.110 0.756 1386.69
## 172 25 19 Control 366 0.133 0.743 1426.79
## 179 26 19 Control 349 0.127 0.743 1356.22
## 186 27 19 Control 355 0.095 0.762 1493.51
## 193 28 19 Control 334 0.090 0.768 1440.35
## 200 29 19 Control 338 0.088 0.768 1458.93
## 207 30 19 Control 338 0.094 0.765 1438.13
## 214 31 19 Control 323 0.116 0.753 1305.23
## 221 32 19 Control 333 0.118 0.748 1321.57
## 228 33 19 Control 315 0.102 0.760 1313.51
## 235 34 19 Control 323 0.119 0.750 1291.94
## 242 35 19 Control 377 0.163 0.717 1331.64
## 249 36 19 Drought 317 0.135 0.742 1229.17
## 256 37 19 Drought 366 0.132 0.739 1401.67
## 263 38 19 Drought 393 0.152 0.727 1437.45
## 270 39 19 Drought 337 0.159 0.724 1222.93
## 277 40 19 Drought 329 0.239 0.673 1006.29
## 284 41 19 Drought 295 0.141 0.743 1148.32
## 291 42 19 Drought 374 0.204 0.696 1229.40
## 298 43 19 Drought 379 0.127 0.742 1467.17
## 305 44 19 Drought 321 0.121 0.751 1287.98
## 312 45 19 Drought 357 0.198 0.703 1201.80
## 319 46 19 Drought 294 0.101 0.760 1225.88
## 326 47 19 Drought 322 0.096 0.765 1368.45
## 333 48 19 Drought 303 0.094 0.769 1312.09
## 340 49 19 Drought 336 0.111 0.757 1385.09
## 346 50 19 Drought 323 0.138 0.742 1252.91
## 353 51 19 Drought 262 0.160 0.728 962.95
## 359 52 19 Drought 249 0.137 0.748 987.46
## 361 53 19 Drought 288 0.097 0.771 1256.34
## 364 54 19 Drought 305 0.103 0.764 1294.67
## 370 55 19 Drought 396 0.213 0.692 1286.97
## 376 56 19 Drought 362 0.135 0.745 1418.15
## 382 57 19 Drought 305 0.115 0.756 1250.77
## 388 58 19 Drought 339 0.129 0.746 1336.65
## 394 59 19 Drought 343 0.122 0.748 1362.93
## 400 60 19 Drought 348 0.242 0.662 1030.95
## 406 61 19 Drought 276 0.132 0.749 1099.73
## 412 62 19 Drought 333 0.140 0.740 1280.34
## 418 63 19 Drought 334 0.093 0.770 1449.38
## 424 64 19 Drought 332 0.120 0.752 1339.78
## 429 65 19 Drought 335 0.171 0.717 1185.78
## 435 66 19 Drought 298 0.120 0.753 1205.90
## 441 67 19 Drought 363 0.136 0.743 1414.57
## 447 68 19 Drought 306 0.135 0.747 1208.50
## 453 69 19 Drought 306 0.106 0.763 1289.02
## 459 70 19 Drought 349 0.163 0.729 1289.78
## 465 71 19 Salt 298 0.088 0.774 1316.63
## 472 72 19 Salt 367 0.119 0.739 1408.63
## 478 73 19 Salt 303 0.073 0.780 1376.00
## 484 74 19 Salt 327 0.092 0.765 1393.94
## 490 75 19 Salt 385 0.119 0.735 1453.56
## 496 76 19 Salt 310 0.092 0.773 1366.61
## 502 77 19 Salt 319 0.090 0.770 1388.25
## 508 78 19 Salt 334 0.078 0.776 1488.89
## 515 79 19 Salt 319 0.088 0.770 1386.03
## 522 80 19 Salt 322 0.083 0.770 1402.85
## 529 81 19 Salt 326 0.091 0.769 1411.56
## 537 83 19 Salt 309 0.070 0.781 1409.21
## 545 85 19 Salt 317 0.086 0.770 1380.00
## 552 86 19 Salt 324 0.092 0.769 1400.87
## 559 87 19 Salt 325 0.076 0.775 1446.70
## 566 88 19 Salt 300 0.067 0.783 1380.88
## 573 89 19 Salt 318 0.089 0.770 1384.98
## 580 90 19 Salt 364 0.095 0.768 1566.25
## 587 91 19 Salt 314 0.098 0.767 1347.70
## 594 92 19 Salt 315 0.082 0.774 1396.49
## 601 93 19 Salt 315 0.079 0.777 1410.79
## 608 94 19 Salt 335 0.094 0.768 1442.06
## 615 95 19 Salt 345 0.101 0.762 1449.93
## 622 96 19 Salt 275 0.080 0.778 1240.04
## 627 97 19 Salt 254 0.086 0.772 1114.07
## 636 99 19 Salt 335 0.106 0.759 1388.52
## 643 100 19 Salt 325 0.119 0.755 1328.93
## 650 101 19 Salt 312 0.098 0.756 1277.23
## 657 102 19 Salt 319 0.084 0.772 1397.57
## 664 103 19 Salt 335 0.115 0.746 1317.17
## 671 104 19 Salt 337 0.111 0.758 1394.32
## 678 105 19 Salt 314 0.107 0.762 1317.37
## 3 1 21 Control 365 0.160 0.728 1340.80
## 10 2 21 Control 392 0.118 0.740 1506.93
## 17 3 21 Control 395 0.200 0.694 1291.75
## 24 4 21 Control 345 0.138 0.736 1308.08
## 31 5 21 Control 359 0.111 0.758 1483.08
## 38 6 21 Control 407 0.204 0.691 1317.91
## 45 7 21 Control 376 0.109 0.745 1476.02
## 52 8 21 Control 460 0.164 0.698 1523.80
## 59 9 21 Control 397 0.125 0.726 1451.13
## 66 10 21 Control 373 0.179 0.707 1273.10
## 73 11 21 Control 260 0.199 0.705 882.85
## 80 12 21 Control 344 0.151 0.725 1250.40
## 87 13 21 Control 316 0.099 0.761 1323.40
## 94 14 21 Control 346 0.109 0.750 1384.75
## 101 15 21 Control 330 0.296 0.615 856.34
## 108 16 21 Control 316 0.206 0.687 1011.11
## 115 17 21 Control 343 0.107 0.751 1376.62
## 122 18 21 Control 365 0.121 0.740 1403.78
## 129 19 21 Control 311 0.106 0.756 1276.47
## 136 20 21 Control 366 0.113 0.747 1447.97
## 143 21 21 Control 283 0.117 0.746 1114.36
## 150 22 21 Control 352 0.131 0.742 1365.64
## 157 23 21 Control 398 0.127 0.732 1483.29
## 164 24 21 Control 387 0.164 0.708 1324.75
## 171 25 21 Control 357 0.209 0.674 1093.57
## 178 26 21 Control 335 0.141 0.733 1254.42
## 185 27 21 Control 376 0.102 0.748 1489.33
## 192 28 21 Control 334 0.128 0.742 1294.84
## 199 29 21 Control 355 0.108 0.743 1383.53
## 206 30 21 Control 378 0.127 0.735 1425.11
## 213 31 21 Control 285 0.157 0.729 1051.18
## 220 32 21 Control 345 0.131 0.737 1311.60
## 227 33 21 Control 325 0.133 0.740 1248.72
## 234 34 21 Control 300 0.148 0.732 1118.64
## 241 35 21 Control 271 0.149 0.738 1035.32
## 248 36 21 Drought 334 0.233 0.672 1018.62
## 255 37 21 Drought 372 0.162 0.718 1317.19
## 262 38 21 Drought 346 0.160 0.720 1237.64
## 269 39 21 Drought 323 0.117 0.750 1290.08
## 276 40 21 Drought 291 0.203 0.701 972.21
## 283 41 21 Drought 388 0.341 0.585 934.74
## 290 42 21 Drought 431 0.234 0.664 1282.38
## 297 43 21 Drought 317 0.127 0.744 1236.83
## 304 44 21 Drought 309 0.120 0.747 1219.05
## 311 45 21 Drought 284 0.173 0.712 984.70
## 318 46 21 Drought 294 0.170 0.719 1047.55
## 325 47 21 Drought 341 0.161 0.721 1221.73
## 332 48 21 Drought 271 0.183 0.715 949.22
## 339 49 21 Drought 274 0.100 0.763 1156.93
## 345 50 21 Drought 307 0.214 0.687 979.45
## 352 51 21 Drought 286 0.210 0.699 951.45
## 358 52 21 Drought 279 0.132 0.738 1065.10
## 363 54 21 Drought 339 0.127 0.740 1302.11
## 369 55 21 Drought 307 0.376 0.565 705.51
## 375 56 21 Drought 373 0.185 0.704 1258.83
## 381 57 21 Drought 329 0.158 0.719 1170.27
## 387 58 21 Drought 381 0.164 0.716 1341.93
## 393 59 21 Drought 329 0.140 0.737 1251.36
## 399 60 21 Drought 308 0.332 0.583 738.13
## 405 61 21 Drought 228 0.144 0.742 885.08
## 411 62 21 Drought 329 0.120 0.743 1280.79
## 417 63 21 Drought 327 0.098 0.760 1362.21
## 423 64 21 Drought 270 0.142 0.729 994.97
## 434 66 21 Drought 262 0.147 0.734 986.13
## 440 67 21 Drought 334 0.100 0.762 1402.32
## 446 68 21 Drought 278 0.156 0.731 1034.28
## 452 69 21 Drought 309 0.111 0.756 1264.67
## 458 70 21 Drought 309 0.468 0.462 574.50
## 464 71 21 Salt 329 0.167 0.723 1189.29
## 471 72 21 Salt 331 0.114 0.739 1268.08
## 477 73 21 Salt 320 0.129 0.730 1185.16
## 483 74 21 Salt 341 0.102 0.745 1337.83
## 489 75 21 Salt 343 0.154 0.714 1197.25
## 495 76 21 Salt 308 0.126 0.748 1220.87
## 501 77 21 Salt 359 0.135 0.726 1309.36
## 507 78 21 Salt 356 0.128 0.728 1309.04
## 514 79 21 Salt 325 0.105 0.751 1306.66
## 521 80 21 Salt 387 0.130 0.714 1354.67
## 528 81 21 Salt 319 0.122 0.744 1247.77
## 536 83 21 Salt 311 0.117 0.740 1194.96
## 544 85 21 Salt 350 0.141 0.720 1248.79
## 551 86 21 Salt 383 0.161 0.709 1317.41
## 558 87 21 Salt 285 0.109 0.752 1146.90
## 565 88 21 Salt 301 0.120 0.742 1164.42
## 572 89 21 Salt 332 0.124 0.728 1222.43
## 579 90 21 Salt 340 0.117 0.735 1283.16
## 586 91 21 Salt 359 0.158 0.718 1271.08
## 593 92 21 Salt 292 0.094 0.763 1233.55
## 600 93 21 Salt 343 0.105 0.730 1270.85
## 607 94 21 Salt 329 0.101 0.756 1350.37
## 614 95 21 Salt 302 0.091 0.765 1286.52
## 621 96 21 Salt 289 0.138 0.737 1097.79
## 635 99 21 Salt 423 0.180 0.695 1388.76
## 642 100 21 Salt 259 0.125 0.753 1047.13
## 649 101 21 Salt 349 0.144 0.725 1270.22
## 656 102 21 Salt 329 0.123 0.740 1265.36
## 663 103 21 Salt 260 0.093 0.767 1116.99
## 670 104 21 Salt 313 0.104 0.760 1306.61
## 677 105 21 Salt 306 0.112 0.757 1260.94
## 2 1 23 Control 339 0.242 0.677 1048.70
## 9 2 23 Control 325 0.100 0.761 1361.79
## 16 3 23 Control 323 0.101 0.757 1327.91
## 23 4 23 Control 385 0.133 0.731 1433.15
## 30 5 23 Control 350 0.107 0.746 1377.85
## 37 6 23 Control 348 0.139 0.735 1314.38
## 44 7 23 Control 344 0.102 0.751 1382.41
## 51 8 23 Control 343 0.107 0.759 1422.95
## 58 9 23 Control 341 0.077 0.767 1464.33
## 65 10 23 Control 321 0.130 0.748 1275.77
## 72 11 23 Control 263 0.190 0.712 913.61
## 79 12 23 Control 347 0.142 0.734 1302.75
## 86 13 23 Control 300 0.107 0.762 1260.44
## 93 14 23 Control 355 0.125 0.745 1392.88
## 100 15 23 Control 335 0.152 0.719 1191.75
## 107 16 23 Control 280 0.110 0.762 1174.69
## 114 17 23 Control 308 0.096 0.759 1278.55
## 121 18 23 Control 342 0.102 0.760 1426.23
## 128 19 23 Control 322 0.102 0.763 1357.71
## 135 20 23 Control 348 0.102 0.760 1449.22
## 142 21 23 Control 301 0.142 0.739 1155.19
## 149 22 23 Control 282 0.080 0.775 1251.27
## 156 23 23 Control 319 0.095 0.768 1377.51
## 163 24 23 Control 356 0.121 0.745 1396.19
## 170 25 23 Control 322 0.159 0.731 1194.87
## 177 26 23 Control 403 0.261 0.654 1164.54
## 184 27 23 Control 335 0.095 0.757 1376.24
## 191 28 23 Control 311 0.084 0.772 1363.95
## 198 29 23 Control 362 0.100 0.759 1500.70
## 205 30 23 Control 350 0.189 0.697 1153.94
## 212 31 23 Control 266 0.198 0.705 901.43
## 219 32 23 Control 268 0.086 0.768 1155.22
## 226 33 23 Control 270 0.075 0.771 1179.97
## 233 34 23 Control 287 0.120 0.746 1131.21
## 240 35 23 Control 275 0.313 0.604 694.37
## 247 36 23 Drought 301 0.141 0.739 1151.89
## 254 37 23 Drought 327 0.224 0.668 984.13
## 261 38 23 Drought 243 0.189 0.716 854.68
## 268 39 23 Drought 353 0.114 0.746 1388.62
## 275 40 23 Drought 317 0.291 0.622 838.97
## 282 41 23 Drought 277 0.158 0.726 1009.59
## 289 42 23 Drought 323 0.109 0.755 1318.06
## 296 43 23 Drought 295 0.156 0.733 1106.32
## 303 44 23 Drought 337 0.101 0.760 1406.42
## 310 45 23 Drought 247 0.168 0.725 898.78
## 317 46 23 Drought 291 0.139 0.741 1124.91
## 324 47 23 Drought 319 0.125 0.746 1256.45
## 331 48 23 Drought 326 0.170 0.726 1191.01
## 338 49 23 Drought 301 0.113 0.757 1241.04
## 351 51 23 Drought 363 0.175 0.716 1276.43
## 506 78 23 Salt 383 0.131 0.736 1450.03
## 513 79 23 Salt 297 0.093 0.759 1233.06
## 520 80 23 Salt 329 0.094 0.756 1351.01
## 527 81 23 Salt 418 0.158 0.705 1418.83
## 535 83 23 Salt 304 0.086 0.766 1300.47
## 543 85 23 Salt 383 0.114 0.744 1496.20
## 550 86 23 Salt 346 0.136 0.740 1331.83
## 557 87 23 Salt 318 0.070 0.779 1436.42
## 564 88 23 Salt 305 0.074 0.776 1361.71
## 571 89 23 Salt 389 0.148 0.716 1368.77
## 578 90 23 Salt 339 0.083 0.765 1440.83
## 585 91 23 Salt 291 0.128 0.747 1149.92
## 592 92 23 Salt 299 0.098 0.766 1280.45
## 599 93 23 Salt 329 0.097 0.748 1307.51
## 606 94 23 Salt 382 0.189 0.701 1277.73
## 613 95 23 Salt 330 0.097 0.766 1411.66
## 620 96 23 Salt 332 0.203 0.692 1078.96
## 632 98 23 Salt 315 0.118 0.752 1271.87
## 634 99 23 Salt 453 0.240 0.657 1322.29
## 641 100 23 Salt 290 0.146 0.739 1110.25
## 648 101 23 Salt 345 0.156 0.722 1242.61
## 655 102 23 Salt 330 0.089 0.763 1389.56
## 662 103 23 Salt 310 0.123 0.752 1249.90
## 669 104 23 Salt 291 0.086 0.765 1236.89
## 676 105 23 Salt 302 0.076 0.777 1352.65
## 1 1 26 Control 401 0.258 0.672 1223.85
## 8 2 26 Control 393 0.272 0.647 1113.53
## 15 3 26 Control 466 0.155 0.729 1719.21
## 22 4 26 Control 403 0.155 0.730 1494.42
## 29 5 26 Control 409 0.314 0.598 1018.23
## 36 6 26 Control 368 0.189 0.715 1292.19
## 43 7 26 Control 398 0.142 0.733 1489.36
## 50 8 26 Control 411 0.129 0.746 1615.55
## 57 9 26 Control 399 0.175 0.709 1372.73
## 64 10 26 Control 365 0.224 0.687 1164.49
## 71 11 26 Control 257 0.269 0.667 771.57
## 78 12 26 Control 382 0.332 0.614 989.93
## 85 13 26 Control 343 0.120 0.754 1396.18
## 92 14 26 Control 339 0.172 0.707 1157.07
## 99 15 26 Control 321 0.245 0.670 973.57
## 106 16 26 Control 335 0.112 0.755 1365.67
## 113 17 26 Control 328 0.192 0.695 1076.09
## 120 18 26 Control 388 0.141 0.735 1463.21
## 127 19 26 Control 359 0.130 0.743 1397.86
## 134 20 26 Control 371 0.188 0.701 1238.82
## 141 21 26 Control 319 0.139 0.743 1242.85
## 148 22 26 Control 310 0.091 0.766 1326.08
## 155 23 26 Control 366 0.145 0.738 1399.05
## 162 24 26 Control 333 0.106 0.753 1348.18
## 169 25 26 Control 301 0.277 0.644 846.34
## 176 26 26 Control 319 0.118 0.747 1263.14
## 183 27 26 Control 365 0.170 0.713 1273.02
## 190 28 26 Control 369 0.138 0.736 1397.06
## 197 29 26 Control 367 0.129 0.741 1419.34
## 204 30 26 Control 331 0.348 0.574 776.94
## 211 31 26 Control 306 0.155 0.730 1132.10
## 218 32 26 Control 335 0.234 0.667 1004.87
## 225 33 26 Control 367 0.128 0.742 1423.86
## 232 34 26 Control 225 0.260 0.649 641.70
## 239 35 26 Control 297 0.289 0.638 820.72
## 246 36 26 Drought 282 0.141 0.737 1073.66
## 253 37 26 Drought 327 0.301 0.614 846.65
## 260 38 26 Drought 368 0.140 0.735 1386.73
## 267 39 26 Drought 359 0.156 0.724 1298.84
## 274 40 26 Drought 357 0.546 0.418 613.14
## 281 41 26 Drought 333 0.318 0.610 854.90
## 288 42 26 Drought 404 0.260 0.651 1157.44
## 295 43 26 Drought 419 0.163 0.707 1428.78
## 302 44 26 Drought 314 0.140 0.732 1173.23
## 309 45 26 Drought 220 0.251 0.680 686.89
## 316 46 26 Drought 293 0.142 0.739 1121.53
## 323 47 26 Drought 347 0.139 0.737 1318.37
## 330 48 26 Drought 321 0.204 0.698 1061.89
## 337 49 26 Drought 377 0.189 0.702 1266.81
## 344 50 26 Drought 335 0.441 0.490 657.01
## 350 51 26 Drought 238 0.213 0.694 777.81
## 357 52 26 Drought 251 0.106 0.763 1057.45
## 360 53 26 Drought 299 0.070 0.787 1402.33
## 362 54 26 Drought 294 0.130 0.747 1162.05
## 368 55 26 Drought 290 0.184 0.714 1015.27
## 374 56 26 Drought 323 0.209 0.695 1060.44
## 380 57 26 Drought 289 0.159 0.725 1051.79
## 386 58 26 Drought 417 0.130 0.726 1521.22
## 392 59 26 Drought 316 0.172 0.719 1125.81
## 398 60 26 Drought 232 0.544 0.416 397.32
## 404 61 26 Drought 233 0.155 0.738 888.45
## 410 62 26 Drought 311 0.137 0.739 1189.35
## 416 63 26 Drought 335 0.148 0.736 1270.08
## 422 64 26 Drought 322 0.157 0.731 1196.76
## 428 65 26 Drought 259 0.433 0.501 518.53
## 433 66 26 Drought 250 0.214 0.695 819.50
## 439 67 26 Drought 327 0.163 0.723 1180.78
## 445 68 26 Drought 312 0.184 0.720 1113.70
## 451 69 26 Drought 300 0.103 0.765 1275.37
## 457 70 26 Drought 205 0.475 0.494 405.32
## 463 71 26 Salt 332 0.202 0.698 1097.60
## 470 72 26 Salt 298 0.105 0.757 1225.33
## 476 73 26 Salt 315 0.089 0.772 1383.66
## 482 74 26 Salt 306 0.076 0.780 1388.28
## 488 75 26 Salt 309 0.086 0.774 1365.33
## 494 76 26 Salt 427 0.225 0.672 1300.79
## 500 77 26 Salt 336 0.100 0.749 1336.55
## 505 78 26 Salt 291 0.079 0.777 1306.18
## 512 79 26 Salt 313 0.094 0.764 1323.93
## 519 80 26 Salt 329 0.104 0.760 1372.44
## 526 81 26 Salt 347 0.114 0.739 1332.04
## 534 83 26 Salt 327 0.087 0.760 1363.24
## 542 85 26 Salt 320 0.089 0.766 1368.37
## 549 86 26 Salt 287 0.131 0.752 1155.16
## 556 87 26 Salt 314 0.085 0.769 1360.75
## 563 88 26 Salt 390 0.157 0.712 1356.08
## 570 89 26 Salt 311 0.090 0.768 1339.19
## 577 90 26 Salt 324 0.084 0.768 1397.88
## 584 91 26 Salt 324 0.164 0.728 1190.22
## 591 92 26 Salt 350 0.125 0.744 1369.85
## 598 93 26 Salt 329 0.084 0.769 1423.66
## 605 94 26 Salt 324 0.107 0.750 1295.14
## 612 95 26 Salt 288 0.121 0.755 1176.12
## 619 96 26 Salt 308 0.134 0.749 1226.64
## 626 97 26 Salt 317 0.065 0.784 1468.04
## 631 98 26 Salt 304 0.090 0.776 1355.84
## 633 99 26 Salt 289 0.093 0.769 1251.85
## 640 100 26 Salt 275 0.223 0.697 908.16
## 647 101 26 Salt 292 0.097 0.770 1270.09
## 654 102 26 Salt 310 0.152 0.735 1168.41
## 661 103 26 Salt 318 0.111 0.758 1312.30
## 668 104 26 Salt 341 0.116 0.753 1379.31
## 675 105 26 Salt 294 0.113 0.760 1222.51
## PS1.Active.Centers PS1.Open.Centers PS1.Over.Reduced.Centers
## 7 0.700 0.861 -0.278
## 14 0.833 1.106 -0.318
## 21 0.611 8.546 -0.468
## 28 1.282 0.515 0.005
## 35 -13.460 -0.075 1.038
## 42 -0.093 -3.431 12.736
## 49 1.692 1.283 -0.457
## 56 0.637 0.881 -0.353
## 63 0.183 2.382 -3.874
## 70 1.579 0.514 0.319
## 77 0.857 0.354 0.403
## 84 1.392 1.120 -0.158
## 91 0.138 5.784 -7.254
## 98 2.591 0.366 0.763
## 105 1.048 0.752 -0.238
## 112 1.197 1.353 -0.620
## 119 0.356 4.121 -0.837
## 126 0.641 1.019 -0.170
## 133 0.553 1.329 -0.804
## 140 0.474 0.682 -0.564
## 147 0.348 1.748 -0.391
## 154 1.155 1.537 -0.597
## 161 277.723 -0.003 1.006
## 168 0.630 1.145 -0.538
## 175 1.283 0.764 0.032
## 182 0.725 0.275 -0.112
## 189 1.561 0.909 -0.054
## 196 0.791 1.471 -0.798
## 203 1.709 0.484 0.122
## 210 1.624 0.672 0.148
## 217 0.546 0.514 0.004
## 224 0.608 0.404 -0.082
## 231 0.562 1.701 -1.487
## 238 1.268 1.213 -0.346
## 245 1.610 0.810 -0.578
## 252 -0.043 -5.548 18.879
## 259 1.169 0.665 -0.020
## 266 0.964 0.600 -0.275
## 273 1.165 0.686 0.316
## 280 1.622 0.865 0.049
## 287 0.099 6.455 -6.926
## 294 -0.075 -6.530 9.726
## 301 0.673 1.955 -1.313
## 308 1.116 1.382 -0.634
## 315 0.887 0.583 0.287
## 322 0.481 1.771 -0.939
## 329 -0.060 -9.082 10.905
## 336 1.001 0.617 0.333
## 343 0.821 1.831 -0.903
## 349 0.624 1.205 -0.645
## 356 0.213 1.614 -2.718
## 367 0.733 1.025 -0.660
## 373 0.523 1.623 -0.993
## 379 0.778 0.801 -0.298
## 385 0.853 1.151 -0.498
## 391 -0.164 -5.300 8.640
## 397 1.099 1.099 -0.435
## 403 1.019 1.376 -0.515
## 409 -0.028 -17.716 26.723
## 415 0.788 1.471 -0.717
## 421 0.864 1.657 -0.800
## 427 1.159 1.502 -0.707
## 432 0.773 1.901 -1.103
## 438 0.439 1.381 -0.542
## 444 1.151 0.854 -0.530
## 450 0.685 1.011 -0.624
## 456 0.915 1.818 -0.999
## 462 0.789 1.168 -0.439
## 469 -0.415 -0.825 2.249
## 475 0.365 6.066 -4.494
## 481 1.001 0.994 -0.017
## 487 0.871 1.622 -0.848
## 493 0.753 1.633 -0.781
## 499 0.383 1.927 -0.827
## 511 1.246 0.380 0.511
## 525 0.503 1.762 -0.928
## 532 1.286 1.118 -0.350
## 540 0.246 2.446 -1.945
## 548 0.637 1.461 -0.886
## 555 1.187 0.888 0.030
## 562 1.137 1.295 -0.441
## 569 0.997 1.302 -0.359
## 576 0.865 1.640 -0.823
## 583 1.010 1.549 -0.721
## 590 0.725 0.001 -0.058
## 597 0.842 0.586 0.024
## 604 0.734 0.951 -0.226
## 611 1.037 0.734 0.195
## 618 0.942 0.483 0.329
## 625 0.719 1.110 -0.427
## 630 0.408 1.062 -0.828
## 639 0.761 1.671 -0.895
## 646 0.316 3.507 -2.916
## 653 0.364 1.763 -1.109
## 660 0.297 2.924 -2.608
## 667 -0.008 -39.183 57.368
## 674 0.621 1.688 -1.081
## 681 0.658 0.920 -0.300
## 6 0.181 0.124 -10.678
## 13 1.265 1.301 -0.502
## 20 1.103 1.835 -1.116
## 27 0.785 1.049 -0.527
## 34 0.899 0.971 -0.203
## 41 0.751 1.418 -0.752
## 48 1.470 1.232 -0.349
## 55 1.218 1.469 -0.460
## 62 1.232 1.345 -0.524
## 69 1.442 1.285 -0.340
## 76 0.687 1.453 -0.793
## 83 1.666 1.112 -0.208
## 90 1.068 1.212 -0.396
## 97 1.393 1.314 -0.430
## 104 1.677 1.022 -0.326
## 111 0.842 1.586 -0.735
## 118 1.606 0.761 0.046
## 125 0.641 2.082 -2.127
## 132 1.585 1.282 -0.455
## 139 2.059 1.175 -0.213
## 146 0.493 0.608 -1.966
## 153 2.021 1.056 -0.115
## 160 0.926 0.284 0.483
## 167 1.668 1.735 -0.579
## 174 1.946 0.996 -0.065
## 181 0.001 752.931 -1237.994
## 188 0.940 0.775 -0.034
## 195 1.656 1.194 -0.402
## 202 1.862 1.277 -0.280
## 209 2.399 0.963 0.002
## 216 0.542 2.375 -1.458
## 223 1.894 1.175 -0.358
## 230 0.932 1.197 -0.399
## 237 1.440 1.200 -0.474
## 244 2.065 0.859 0.056
## 251 0.373 2.339 -1.829
## 258 2.462 0.921 -0.138
## 265 0.644 2.187 -1.375
## 272 0.791 1.689 -0.865
## 279 1.084 1.213 -0.571
## 286 0.454 2.283 -1.715
## 293 0.679 2.685 -1.864
## 300 1.226 1.246 -0.341
## 307 0.195 4.205 -4.191
## 314 1.493 1.035 -0.080
## 321 0.852 1.265 -0.508
## 328 1.433 1.295 -0.366
## 335 0.555 1.188 -0.738
## 342 1.033 1.301 -0.496
## 348 1.482 1.178 -0.089
## 355 0.615 1.341 -0.698
## 366 -0.020 -19.588 33.847
## 372 1.778 1.075 -0.206
## 378 0.240 0.699 -1.339
## 384 -0.255 -1.289 4.139
## 390 -0.968 -1.393 1.953
## 396 1.283 1.890 -0.634
## 402 1.372 1.427 -0.388
## 408 0.518 1.627 -1.038
## 414 1.085 1.373 -0.533
## 420 0.889 1.461 -0.701
## 426 1.163 1.539 -0.527
## 431 1.300 1.028 -0.208
## 437 0.799 1.324 -0.679
## 443 1.012 1.033 -0.334
## 449 0.587 0.665 -0.124
## 455 1.577 1.409 -0.391
## 461 1.131 1.422 -0.114
## 468 0.570 1.589 -0.789
## 474 1.041 1.883 -1.273
## 480 0.607 0.956 -0.601
## 486 0.832 1.785 -0.942
## 492 0.756 1.125 -0.345
## 498 0.378 2.797 -1.568
## 504 0.668 0.320 0.003
## 510 0.716 0.330 -1.148
## 517 1.311 0.918 -0.233
## 524 1.606 1.070 -0.109
## 531 0.713 1.018 -0.949
## 539 0.668 0.677 0.153
## 547 0.605 1.398 -0.672
## 554 1.311 0.946 -0.180
## 561 0.986 0.821 -0.064
## 568 0.615 0.730 -0.019
## 575 1.232 0.523 -0.020
## 582 2.024 0.853 -0.045
## 589 0.167 3.614 -3.431
## 596 1.444 0.835 0.048
## 603 0.318 1.947 -1.197
## 610 1.339 1.136 -0.229
## 617 1.963 0.978 -0.048
## 624 0.775 0.943 -0.114
## 629 -0.247 -2.372 4.219
## 638 0.377 1.709 -0.706
## 645 1.045 1.294 -0.688
## 652 0.500 1.520 -0.976
## 659 1.057 1.523 -0.594
## 666 -0.082 -3.519 6.654
## 673 0.056 10.701 -14.643
## 680 0.863 1.332 -0.584
## 5 1.135 0.623 -0.244
## 12 1.575 0.577 0.223
## 19 1.074 0.820 -0.374
## 26 0.932 1.355 -1.066
## 33 2.147 0.611 -0.123
## 40 1.164 0.790 0.105
## 47 1.179 0.483 0.158
## 54 0.884 0.711 -0.119
## 61 1.596 0.336 0.368
## 68 1.959 0.917 0.090
## 75 2.628 0.161 0.173
## 82 1.091 0.512 0.267
## 89 1.498 0.670 0.201
## 96 1.459 0.805 -0.046
## 103 1.133 0.819 -0.077
## 110 0.366 0.137 -0.758
## 117 0.840 0.660 -0.068
## 124 -0.842 -0.725 2.228
## 131 1.368 0.982 -0.212
## 138 1.793 0.781 -0.084
## 145 0.827 0.970 -0.288
## 152 1.086 1.071 -0.302
## 159 0.836 1.080 -0.502
## 166 1.310 0.617 0.054
## 173 1.457 0.860 -0.088
## 180 1.165 0.682 -0.210
## 187 0.550 0.765 0.380
## 194 1.126 1.812 -0.816
## 201 1.726 1.222 -0.422
## 208 2.172 0.944 -0.043
## 215 0.714 1.118 -0.897
## 222 1.232 0.815 0.103
## 229 0.711 1.076 -0.548
## 236 1.142 0.828 -0.215
## 243 0.153 9.539 -9.274
## 250 0.293 0.941 -1.313
## 257 1.369 0.564 0.217
## 264 0.871 1.105 -0.319
## 271 1.165 1.441 -0.553
## 278 0.951 1.425 -0.549
## 285 0.340 1.904 -0.557
## 292 0.610 0.924 -0.365
## 299 0.495 2.179 -1.802
## 306 0.950 1.758 -1.003
## 313 1.128 1.041 0.148
## 320 0.713 1.598 -0.725
## 327 0.515 1.528 -1.059
## 334 0.193 2.870 -2.991
## 341 1.454 1.081 -0.116
## 347 1.351 1.272 -0.400
## 354 0.479 1.440 -0.892
## 365 0.554 1.634 -0.978
## 371 1.314 0.975 0.033
## 377 0.133 5.350 -5.533
## 383 0.300 -0.024 -0.553
## 389 0.666 1.579 -0.645
## 395 1.137 1.311 -0.484
## 401 1.227 0.719 0.061
## 407 0.482 1.441 -0.741
## 413 0.407 0.835 -0.429
## 419 0.520 2.523 -1.597
## 425 0.917 0.601 -0.398
## 430 0.782 1.410 -0.617
## 436 0.820 1.220 -0.428
## 442 0.937 0.804 -0.065
## 448 0.098 7.032 -8.376
## 454 0.942 1.447 -0.685
## 460 0.701 1.040 -0.230
## 466 0.290 1.172 -0.807
## 467 0.266 2.075 -1.620
## 473 2.206 0.144 0.084
## 479 0.569 1.339 -0.370
## 485 1.364 1.075 -0.151
## 491 1.925 0.251 0.491
## 497 -0.611 -1.718 3.029
## 503 0.911 0.759 -0.319
## 509 0.692 0.606 -0.040
## 516 0.976 1.054 -0.029
## 523 0.409 2.155 -1.101
## 530 0.110 6.240 -7.156
## 538 0.811 0.507 0.156
## 546 0.876 1.185 -0.379
## 553 1.291 1.142 -0.247
## 560 1.560 1.019 -0.067
## 567 1.621 1.557 -0.370
## 574 2.004 1.200 -0.122
## 581 0.580 2.389 -0.941
## 588 1.240 0.851 -0.069
## 595 1.903 0.557 0.137
## 602 36.114 0.015 0.966
## 609 2.259 0.607 0.046
## 616 2.023 0.965 0.100
## 623 1.028 1.150 -0.297
## 628 1.592 0.807 -0.038
## 637 0.694 1.258 -0.488
## 644 0.851 1.271 -0.480
## 651 0.832 0.819 -0.086
## 658 1.146 1.044 -0.192
## 665 0.801 0.449 0.222
## 672 1.004 1.612 -0.733
## 679 1.002 0.888 -0.192
## 4 0.501 1.095 -1.007
## 11 0.707 1.079 -0.439
## 18 0.818 0.909 -0.683
## 25 1.059 1.615 -0.886
## 32 1.759 1.066 -0.066
## 39 1.383 0.914 -0.185
## 46 1.165 0.786 -0.037
## 53 0.388 1.734 -1.208
## 60 -0.540 -0.134 3.492
## 67 1.494 0.765 -0.005
## 74 0.306 2.426 -13.605
## 81 0.658 0.672 0.037
## 88 -0.212 -0.257 4.202
## 95 1.109 1.069 -0.159
## 102 0.457 1.928 -0.493
## 109 1.104 1.375 -0.567
## 116 1.240 0.763 0.107
## 123 0.935 1.600 -0.316
## 130 0.914 1.064 -0.081
## 137 2.075 1.008 -0.035
## 144 1.328 1.705 -0.197
## 151 1.213 1.175 -0.039
## 158 0.730 1.282 -1.265
## 165 0.927 1.303 -0.450
## 172 1.279 0.762 0.120
## 179 0.192 3.560 -4.267
## 186 1.505 0.900 -0.042
## 193 1.564 0.919 0.125
## 200 1.519 1.294 -0.415
## 207 2.352 0.784 0.124
## 214 0.797 1.231 -0.415
## 221 3.288 0.051 0.642
## 228 0.504 2.567 -1.047
## 235 0.862 1.209 -0.285
## 242 0.824 1.453 -0.435
## 249 1.048 0.920 0.321
## 256 0.920 0.785 -0.018
## 263 0.421 1.684 -1.096
## 270 0.960 1.371 -0.422
## 277 1.027 0.969 -0.473
## 284 0.603 1.119 -0.368
## 291 0.630 1.200 -0.316
## 298 0.480 2.141 -1.483
## 305 0.736 2.013 -1.097
## 312 -0.991 -0.504 1.488
## 319 1.135 1.032 -0.588
## 326 0.758 0.787 -0.038
## 333 0.574 1.147 -0.319
## 340 0.733 2.298 -1.380
## 346 1.103 1.057 -0.342
## 353 0.861 1.027 -0.117
## 359 0.864 0.362 0.280
## 361 1.242 0.652 0.233
## 364 0.825 0.985 -0.208
## 370 0.230 1.701 -1.430
## 376 0.685 0.737 -0.116
## 382 1.133 0.413 0.117
## 388 0.565 0.612 -0.745
## 394 0.962 1.005 -0.204
## 400 0.890 0.919 -0.260
## 406 0.402 2.612 -1.788
## 412 0.937 0.375 0.496
## 418 0.735 1.411 -0.575
## 424 1.093 1.032 -0.326
## 429 1.040 0.732 0.212
## 435 0.615 2.087 -0.759
## 441 0.691 0.947 0.043
## 447 0.776 0.342 0.510
## 453 1.532 1.153 -0.131
## 459 0.738 0.913 -0.070
## 465 0.792 1.811 -0.677
## 472 0.107 12.486 -8.966
## 478 1.140 1.639 -0.811
## 484 1.201 1.362 -0.874
## 490 0.460 1.722 -0.913
## 496 0.672 2.724 -1.084
## 502 1.169 1.668 -0.803
## 508 1.110 1.145 -0.358
## 515 1.809 1.141 -0.207
## 522 1.473 1.551 -0.594
## 529 1.834 0.827 0.028
## 537 1.231 1.597 -0.578
## 545 1.944 1.003 0.030
## 552 0.751 0.651 -1.667
## 559 1.715 1.512 -0.539
## 566 2.225 1.237 -0.197
## 573 0.510 6.708 -3.690
## 580 -0.506 -4.831 6.372
## 587 1.255 1.449 -0.545
## 594 1.235 1.419 -0.477
## 601 1.304 1.689 -0.646
## 608 1.943 1.127 -0.129
## 615 1.530 1.415 -0.399
## 622 1.301 1.608 -0.706
## 627 0.942 1.991 -1.398
## 636 0.802 2.596 -1.780
## 643 0.822 1.516 -0.689
## 650 1.472 1.546 -0.105
## 657 1.188 1.490 -0.606
## 664 3.390 0.078 0.757
## 671 1.267 1.211 -0.297
## 678 0.789 1.378 -0.608
## 3 0.804 1.474 -0.642
## 10 0.745 1.505 -0.769
## 17 0.858 1.560 -0.935
## 24 1.531 1.220 0.335
## 31 1.141 2.142 -0.442
## 38 1.274 0.768 -0.084
## 45 0.647 1.085 0.089
## 52 -0.500 -1.730 2.989
## 59 0.772 1.688 -0.866
## 66 0.848 1.392 -0.226
## 73 0.593 2.071 -0.339
## 80 0.604 0.971 -0.152
## 87 -0.274 0.542 -3.102
## 94 0.718 1.330 -0.489
## 101 0.782 0.935 -0.870
## 108 -0.124 -5.015 9.265
## 115 0.918 0.766 -0.040
## 122 0.405 2.298 -2.486
## 129 1.219 1.007 -0.072
## 136 1.072 1.015 -0.099
## 143 0.746 1.197 -0.540
## 150 0.871 1.282 -0.476
## 157 0.737 1.123 -0.292
## 164 -1.546 -0.654 1.725
## 171 0.470 1.072 -0.694
## 178 0.657 0.932 -0.494
## 185 0.831 1.556 -0.662
## 192 0.441 3.158 -2.914
## 199 0.927 2.139 -0.764
## 206 1.342 1.029 -0.075
## 213 0.903 0.741 -0.353
## 220 0.852 1.095 -0.421
## 227 0.452 2.661 -2.263
## 234 0.443 2.403 -1.441
## 241 0.866 1.454 -0.685
## 248 0.547 1.453 -1.195
## 255 0.132 4.408 -4.694
## 262 0.626 2.114 -1.515
## 269 0.673 1.370 -1.177
## 276 0.578 1.976 -1.291
## 283 0.320 1.999 -2.154
## 290 1.061 0.811 -0.104
## 297 -0.925 -1.569 -0.809
## 304 0.510 2.193 -1.643
## 311 0.467 1.217 -0.634
## 318 0.704 1.611 -1.086
## 325 0.559 1.954 -1.525
## 332 0.378 3.103 -4.294
## 339 1.083 1.836 -0.613
## 345 0.986 1.404 -0.562
## 352 0.048 13.816 -19.562
## 358 0.591 2.122 -1.815
## 363 0.460 2.015 -1.352
## 369 -0.187 -1.986 6.114
## 375 0.905 2.042 -1.292
## 381 0.565 2.058 -1.355
## 387 0.884 1.239 -0.577
## 393 1.219 1.270 -0.041
## 399 0.782 0.886 -0.792
## 405 0.299 2.319 -3.553
## 411 0.218 2.518 -2.562
## 417 0.451 0.942 -0.354
## 423 0.318 0.578 -1.026
## 434 0.217 5.465 -5.147
## 440 2.846 0.410 0.573
## 446 -0.284 -2.553 4.298
## 452 0.873 1.716 -0.819
## 458 0.328 0.294 -1.476
## 464 -0.394 16.944 9.421
## 471 3.545 0.641 0.357
## 477 1.028 2.471 -1.202
## 483 1.430 1.421 -0.500
## 489 1.176 1.917 -1.047
## 495 2.237 0.916 0.134
## 501 1.521 1.607 -0.608
## 507 1.020 1.899 -0.987
## 514 1.447 2.568 -0.210
## 521 0.826 1.947 -0.953
## 528 0.955 2.102 -1.488
## 536 2.261 1.121 -0.060
## 544 0.944 1.849 -0.981
## 551 1.344 1.099 -0.204
## 558 0.372 5.667 -5.313
## 565 -0.395 -5.943 6.995
## 572 1.738 1.929 -1.895
## 579 0.857 2.349 -1.149
## 586 0.692 1.173 -1.516
## 593 0.700 3.146 -2.291
## 600 1.071 1.269 -0.271
## 607 0.890 1.830 -0.796
## 614 1.368 1.476 -0.462
## 621 1.790 1.092 -0.393
## 635 0.717 1.518 -0.030
## 642 -0.099 -12.936 14.408
## 649 0.681 1.893 -0.994
## 656 1.020 1.479 -0.573
## 663 0.611 2.432 -1.748
## 670 0.684 2.110 -1.228
## 677 0.550 2.523 -1.708
## 2 2.780 0.152 0.597
## 9 0.867 1.431 -0.693
## 16 1.614 0.671 0.319
## 23 1.094 1.079 -0.146
## 30 1.809 0.971 0.195
## 37 0.124 11.275 -14.448
## 44 1.188 1.201 -0.479
## 51 1.469 -0.691 1.183
## 58 1.057 1.146 -0.118
## 65 1.835 0.868 0.247
## 72 0.767 1.445 -0.484
## 79 0.816 0.721 0.100
## 86 1.357 0.758 0.039
## 93 0.913 0.582 -0.142
## 100 0.635 2.130 -1.469
## 107 0.511 2.034 -1.327
## 114 0.618 1.996 -1.116
## 121 -2.156 -0.366 1.414
## 128 0.879 0.229 0.577
## 135 0.895 1.051 -0.167
## 142 0.817 1.313 -0.220
## 149 0.813 1.542 -0.730
## 156 1.160 1.062 -0.225
## 163 0.851 0.411 0.404
## 170 0.440 0.979 -0.435
## 177 0.694 0.751 -0.323
## 184 1.223 0.878 -0.171
## 191 0.630 1.643 -0.806
## 198 0.757 0.719 -0.080
## 205 0.943 1.204 -0.044
## 212 0.381 2.955 -2.861
## 219 0.728 1.950 -1.438
## 226 3.377 0.249 0.356
## 233 -0.135 -2.864 9.636
## 240 0.671 0.809 -0.748
## 247 0.480 1.410 -0.492
## 254 1.005 0.637 0.269
## 261 0.462 1.390 -1.489
## 268 -0.065 -10.756 15.852
## 275 -0.069 -2.557 8.017
## 282 -1.695 -3.186 1.804
## 289 0.266 2.507 -2.083
## 296 -0.083 -4.079 6.771
## 303 0.454 1.194 -0.356
## 310 0.558 1.378 -0.031
## 317 0.336 2.236 -1.722
## 324 0.238 1.646 -1.640
## 331 -1.035 -0.307 3.105
## 338 0.224 3.622 -4.213
## 351 0.507 0.939 -0.070
## 506 0.663 1.608 -1.098
## 513 1.005 2.586 -1.507
## 520 1.109 2.144 -1.193
## 527 1.014 1.957 -1.036
## 535 1.209 1.750 -0.892
## 543 0.765 1.513 -0.446
## 550 0.776 2.703 -0.794
## 557 1.158 1.880 -0.966
## 564 1.531 1.329 -0.330
## 571 1.100 1.097 -0.254
## 578 -2.402 -0.835 2.303
## 585 -3.031 -1.018 1.484
## 592 0.575 2.924 -2.051
## 599 0.357 4.371 -3.299
## 606 1.035 0.737 0.092
## 613 0.823 1.088 0.007
## 620 0.905 0.777 -0.711
## 632 0.990 1.344 -0.581
## 634 0.953 0.819 0.020
## 641 0.607 1.247 -0.028
## 648 1.134 1.529 -0.490
## 655 0.984 1.326 -0.432
## 662 0.808 2.604 -1.157
## 669 1.383 1.340 -0.438
## 676 0.088 4.692 -4.385
## 1 0.559 0.985 -0.504
## 8 0.790 0.587 -0.127
## 15 0.902 0.771 0.067
## 22 0.963 0.652 0.217
## 29 1.279 0.311 -0.006
## 36 -1.044 -0.175 1.674
## 43 0.755 0.589 0.261
## 50 0.654 1.313 -0.467
## 57 0.185 3.032 -2.755
## 64 0.597 0.931 -0.350
## 71 -1.165 -0.571 1.336
## 78 -0.778 -0.547 1.803
## 85 0.658 1.344 -0.742
## 92 1.556 0.575 0.255
## 99 0.530 0.999 -0.851
## 106 0.430 0.814 -0.788
## 113 0.062 7.701 -8.971
## 120 -0.783 -0.841 1.936
## 127 0.916 0.847 -0.076
## 134 0.891 0.874 -0.188
## 141 0.464 2.252 -2.462
## 148 0.776 1.571 -0.704
## 155 1.084 0.667 0.147
## 162 1.300 0.846 -0.425
## 169 -0.275 -3.498 5.680
## 176 -0.590 -1.563 2.361
## 183 2.120 0.204 -0.121
## 190 0.897 0.893 -0.037
## 197 1.701 0.661 0.265
## 204 0.669 0.304 -0.426
## 211 0.477 1.822 -1.320
## 218 0.840 0.659 -0.062
## 225 0.831 1.236 -0.338
## 232 0.505 0.539 0.095
## 239 0.394 0.742 -0.605
## 246 0.099 4.414 -4.953
## 253 0.208 0.427 -1.391
## 260 0.509 1.215 -0.271
## 267 0.780 0.912 0.046
## 274 0.596 0.777 0.332
## 281 -0.173 -2.235 12.502
## 288 0.535 3.960 -0.533
## 295 0.344 1.714 -1.371
## 302 0.623 1.210 -0.892
## 309 -0.610 -0.540 2.026
## 316 0.337 2.131 -2.108
## 323 0.561 0.857 -0.087
## 330 0.556 1.078 -0.117
## 337 0.677 0.737 0.158
## 344 0.700 0.268 -0.255
## 350 0.311 1.798 -1.253
## 357 1.584 0.442 0.445
## 360 0.916 1.310 -0.640
## 362 0.666 1.068 -0.303
## 368 0.605 1.162 -0.288
## 374 0.924 0.776 0.012
## 380 0.545 0.654 -0.008
## 386 -6.087 -0.193 1.239
## 392 0.022 22.432 -14.944
## 398 -0.176 -1.198 28.411
## 404 -3.430 -0.565 1.476
## 410 0.414 1.404 -0.582
## 416 0.232 2.487 -1.733
## 422 0.501 1.102 -0.233
## 428 0.099 0.950 -4.546
## 433 0.465 0.140 -1.063
## 439 0.630 1.153 -0.561
## 445 -0.313 -1.561 2.820
## 451 -0.481 -3.149 5.063
## 457 0.840 0.288 -0.032
## 463 0.745 1.370 -0.857
## 470 0.857 1.877 -1.125
## 476 1.852 1.142 -0.194
## 482 0.706 1.481 -0.806
## 488 1.271 1.509 -0.484
## 494 0.968 1.082 -0.385
## 500 0.635 3.899 -2.990
## 505 1.441 1.688 -1.110
## 512 1.503 1.548 -0.604
## 519 1.735 1.416 -0.467
## 526 1.086 1.976 -1.100
## 534 2.344 1.823 -0.668
## 542 1.161 1.621 -0.575
## 549 1.344 0.923 0.009
## 556 0.729 2.068 -1.482
## 563 0.783 1.127 -0.421
## 570 -6.689 -0.585 1.437
## 577 0.996 1.349 -0.322
## 584 -0.574 -2.095 2.842
## 591 -1.155 -0.693 1.822
## 598 0.132 7.226 -6.853
## 605 2.279 1.177 -0.568
## 612 0.769 2.190 -0.927
## 619 0.902 1.045 -0.220
## 626 0.385 1.175 -0.481
## 631 0.795 1.007 -0.172
## 633 1.346 1.410 -0.455
## 640 0.498 1.952 -1.278
## 647 1.201 1.230 -0.266
## 654 0.528 2.046 -0.990
## 661 0.421 0.997 -0.177
## 668 -0.054 -20.175 18.140
## 675 0.792 1.311 -0.395
## PS1.Oxidized.Centers leaf_thickness Leaf.Temperature SPAD genotype
## 7 0.417 0.16 22.67 7.886 CB5-2
## 14 0.212 0.09 26.11 9.776 Sanzi
## 21 -7.078 0.95 23.99 9.479 UCR779
## 28 0.480 0.16 23.95 10.017 IT97K-499
## 35 0.036 0.46 23.95 9.664 Suvita-2
## 42 -8.305 0.56 22.47 8.587 CB5-2
## 49 0.174 0.79 22.05 10.380 Sanzi
## 56 0.472 0.21 22.71 9.108 UCR779
## 63 2.492 0.22 24.27 9.908 IT97K-499
## 70 0.167 0.18 24.09 9.495 Suvita-2
## 77 0.243 0.32 22.39 6.490 CB5-2
## 84 0.038 0.06 23.01 9.487 Sanzi
## 91 2.470 0.27 25.33 8.157 UCR779
## 98 -0.128 0.93 22.67 9.938 IT97K-499
## 105 0.486 0.66 23.15 9.320 Suvita-2
## 112 0.267 0.16 22.71 7.121 CB5-2
## 119 -2.285 0.54 23.19 9.877 Sanzi
## 126 0.152 0.07 23.73 8.423 UCR779
## 133 0.475 0.18 23.49 9.806 IT97K-499
## 140 0.882 0.71 22.87 10.346 Suvita-2
## 147 -0.356 0.18 23.81 6.234 CB5-2
## 154 0.060 0.20 25.53 10.136 Sanzi
## 161 -0.003 0.88 24.61 7.130 UCR779
## 168 0.393 0.22 25.81 9.809 IT97K-499
## 175 0.204 0.29 25.29 9.414 Suvita-2
## 182 0.837 0.35 25.87 7.106 CB5-2
## 189 0.146 0.45 26.89 10.172 Sanzi
## 196 0.327 0.42 27.39 8.926 UCR779
## 203 0.394 0.65 26.99 9.885 IT97K-499
## 210 0.181 0.25 26.89 10.448 Suvita-2
## 217 0.482 0.10 24.51 6.352 CB5-2
## 224 0.678 0.10 26.93 7.731 Sanzi
## 231 0.786 0.98 26.19 8.582 UCR779
## 238 0.134 0.78 24.91 9.405 IT97K-499
## 245 0.767 0.95 26.15 9.144 Suvita-2
## 252 -12.330 0.29 26.79 7.323 CB5-2
## 259 0.355 0.18 27.53 9.707 Sanzi
## 266 0.675 0.26 27.53 8.690 UCR779
## 273 -0.002 0.18 27.53 9.454 IT97K-499
## 280 0.086 0.26 26.75 9.183 Suvita-2
## 287 1.471 0.17 27.61 7.148 CB5-2
## 294 -2.196 0.22 27.57 8.059 Sanzi
## 301 0.359 0.35 26.29 8.979 UCR779
## 308 0.252 0.24 27.61 9.036 IT97K-499
## 315 0.130 0.14 27.39 8.775 Suvita-2
## 322 0.168 0.25 25.19 6.610 CB5-2
## 329 -0.823 0.13 27.07 9.269 Sanzi
## 336 0.050 0.20 27.29 6.948 UCR779
## 343 0.072 0.24 27.57 10.125 IT97K-499
## 349 0.440 0.21 25.77 9.258 Suvita-2
## 356 2.103 0.41 25.91 7.018 CB5-2
## 367 0.634 0.16 27.11 7.851 IT97K-499
## 373 0.370 0.32 25.63 9.498 Suvita-2
## 379 0.497 0.32 25.29 8.587 CB5-2
## 385 0.346 0.21 26.85 7.613 Sanzi
## 391 -2.339 1.02 24.95 9.425 UCR779
## 397 0.336 0.11 26.89 9.577 IT97K-499
## 403 0.139 0.15 27.03 9.344 Suvita-2
## 409 -8.007 0.19 26.43 7.031 CB5-2
## 415 0.246 0.23 27.07 8.849 Sanzi
## 421 0.143 0.31 25.43 8.605 UCR779
## 427 0.205 0.17 26.89 9.063 IT97K-499
## 432 0.202 0.33 26.93 9.295 Suvita-2
## 438 0.161 0.14 26.29 7.469 CB5-2
## 444 0.676 0.13 26.85 9.553 Sanzi
## 450 0.613 0.09 26.85 7.456 UCR779
## 456 0.181 0.21 26.47 8.516 IT97K-499
## 462 0.271 0.17 25.71 8.445 Suvita-2
## 469 -0.424 0.20 23.11 7.220 CB5-2
## 475 -0.572 0.60 25.47 10.389 Sanzi
## 481 0.023 0.65 25.67 8.110 UCR779
## 487 0.226 0.05 25.95 5.865 IT97K-499
## 493 0.148 0.19 25.95 8.756 Suvita-2
## 499 -0.099 0.17 25.77 6.558 CB5-2
## 511 0.109 0.27 26.05 7.326 UCR779
## 525 0.167 0.11 23.95 9.476 Suvita-2
## 532 0.232 0.46 23.01 7.759 CB5-2
## 540 0.500 0.66 25.33 7.555 UCR779
## 548 0.425 0.24 25.87 7.406 Suvita-2
## 555 0.082 0.16 22.57 7.840 CB5-2
## 562 0.147 0.23 25.09 9.869 Sanzi
## 569 0.058 0.91 23.95 9.174 UCR779
## 576 0.182 0.37 25.23 9.615 IT97K-499
## 583 0.173 0.86 22.81 9.383 Suvita-2
## 590 1.057 0.40 23.49 6.778 CB5-2
## 597 0.390 0.62 24.61 10.669 Sanzi
## 604 0.276 0.67 23.59 8.538 UCR779
## 611 0.070 0.20 25.39 9.550 IT97K-499
## 618 0.187 0.14 23.49 9.897 Suvita-2
## 625 0.317 0.19 23.99 6.270 CB5-2
## 630 0.766 0.22 25.67 5.431 Sanzi
## 639 0.224 0.09 25.87 9.155 IT97K-499
## 646 0.409 0.22 25.47 8.679 Suvita-2
## 653 0.346 0.24 23.95 6.473 CB5-2
## 660 0.684 0.19 25.87 8.668 Sanzi
## 667 -17.184 0.23 22.77 6.933 UCR779
## 674 0.393 0.15 25.67 8.950 IT97K-499
## 681 0.380 0.18 24.03 8.574 Suvita-2
## 6 11.554 1.00 24.47 8.779 CB5-2
## 13 0.201 0.35 24.99 9.592 Sanzi
## 20 0.281 0.20 25.47 9.643 UCR779
## 27 0.478 0.12 24.51 9.843 IT97K-499
## 34 0.233 0.14 24.81 10.312 Suvita-2
## 41 0.334 0.17 24.19 8.440 CB5-2
## 48 0.117 0.26 25.05 9.936 Sanzi
## 55 -0.009 0.24 25.05 9.599 UCR779
## 62 0.179 0.15 25.43 10.305 IT97K-499
## 69 0.055 0.10 25.53 9.969 Suvita-2
## 76 0.340 0.20 25.29 6.199 CB5-2
## 83 0.096 0.13 25.77 8.688 Sanzi
## 90 0.184 0.15 25.81 8.497 UCR779
## 97 0.116 0.10 25.81 9.783 IT97K-499
## 104 0.303 0.31 25.91 9.513 Suvita-2
## 111 0.149 0.16 26.01 6.844 CB5-2
## 118 0.193 0.16 26.11 9.551 Sanzi
## 125 1.045 0.41 24.81 8.783 UCR779
## 132 0.174 0.31 24.99 10.118 IT97K-499
## 139 0.038 0.33 25.95 10.629 Suvita-2
## 146 2.358 0.12 24.43 6.994 CB5-2
## 153 0.059 0.19 26.01 10.032 Sanzi
## 160 0.233 0.29 25.29 7.195 UCR779
## 167 -0.156 0.24 26.15 9.698 IT97K-499
## 174 0.069 0.20 26.25 9.520 Suvita-2
## 181 486.063 0.20 25.23 7.045 CB5-2
## 188 0.259 0.23 26.19 11.203 Sanzi
## 195 0.208 0.25 26.35 9.410 UCR779
## 202 0.003 0.17 26.47 10.528 IT97K-499
## 209 0.035 0.20 26.53 10.426 Suvita-2
## 216 0.083 0.10 23.85 6.659 CB5-2
## 223 0.182 0.10 26.29 9.397 Sanzi
## 230 0.202 0.19 26.39 8.490 UCR779
## 237 0.273 0.24 26.39 9.472 IT97K-499
## 244 0.085 0.26 26.25 9.214 Suvita-2
## 251 0.490 0.18 24.85 7.207 CB5-2
## 258 0.218 0.17 26.53 9.548 Sanzi
## 265 0.188 0.16 26.39 8.852 UCR779
## 272 0.177 0.24 26.43 9.529 IT97K-499
## 279 0.358 0.17 25.39 8.955 Suvita-2
## 286 0.432 0.20 26.35 7.097 CB5-2
## 293 0.179 0.18 26.35 8.413 Sanzi
## 300 0.094 0.37 26.39 9.249 UCR779
## 307 0.985 0.22 26.11 8.906 IT97K-499
## 314 0.046 0.23 26.01 8.793 Suvita-2
## 321 0.243 0.19 24.27 6.762 CB5-2
## 328 0.072 0.17 26.25 9.349 Sanzi
## 335 0.550 0.09 25.43 6.999 UCR779
## 342 0.195 0.26 26.19 9.984 IT97K-499
## 348 -0.090 0.27 26.43 9.080 Suvita-2
## 355 0.357 0.36 24.61 6.743 CB5-2
## 366 -13.259 0.09 26.43 8.024 IT97K-499
## 372 0.132 0.20 26.11 9.361 Suvita-2
## 378 1.640 0.15 25.05 8.652 CB5-2
## 384 -1.850 0.23 26.67 7.758 Sanzi
## 390 0.439 0.68 24.81 9.346 UCR779
## 396 -0.257 0.21 26.61 9.414 IT97K-499
## 402 -0.039 0.10 26.79 9.365 Suvita-2
## 408 0.411 0.13 26.93 6.565 CB5-2
## 414 0.160 0.18 26.99 8.981 Sanzi
## 420 0.240 0.38 24.57 8.840 UCR779
## 426 -0.012 0.15 26.85 9.025 IT97K-499
## 431 0.180 0.60 26.05 9.647 Suvita-2
## 437 0.355 0.35 24.09 7.592 CB5-2
## 443 0.300 0.21 26.29 9.475 Sanzi
## 449 0.459 0.19 26.53 7.439 UCR779
## 455 -0.017 0.23 26.39 8.632 IT97K-499
## 461 -0.308 0.12 25.71 8.232 Suvita-2
## 468 0.200 0.20 23.81 7.320 CB5-2
## 474 0.390 0.21 26.19 10.193 Sanzi
## 480 0.645 0.26 26.01 7.988 UCR779
## 486 0.156 0.20 26.29 8.549 IT97K-499
## 492 0.220 0.13 26.11 8.876 Suvita-2
## 498 -0.228 0.19 25.09 6.691 CB5-2
## 504 0.677 0.06 26.35 5.663 Sanzi
## 510 1.818 0.19 26.35 7.283 UCR779
## 517 0.315 0.19 26.39 8.436 IT97K-499
## 524 0.039 0.18 26.29 9.682 Suvita-2
## 531 0.931 0.42 25.67 7.614 CB5-2
## 539 0.170 0.16 26.19 7.377 UCR779
## 547 0.274 0.15 26.39 7.288 Suvita-2
## 554 0.233 0.24 24.91 8.048 CB5-2
## 561 0.243 0.23 23.53 10.528 Sanzi
## 568 0.289 0.19 25.95 9.366 UCR779
## 575 0.497 0.31 26.15 9.999 IT97K-499
## 582 0.192 0.57 23.95 10.392 Suvita-2
## 589 0.817 0.20 22.43 7.168 CB5-2
## 596 0.117 0.22 25.95 10.416 Sanzi
## 603 0.249 0.28 26.11 8.687 UCR779
## 610 0.093 0.27 26.11 9.979 IT97K-499
## 617 0.070 0.30 26.05 10.658 Suvita-2
## 624 0.172 0.18 26.11 5.992 CB5-2
## 629 -0.847 0.21 26.19 5.470 Sanzi
## 638 -0.003 0.11 26.35 8.977 IT97K-499
## 645 0.394 0.19 26.01 8.808 Suvita-2
## 652 0.455 0.37 24.95 6.512 CB5-2
## 659 0.071 0.09 26.11 8.729 Sanzi
## 666 -2.135 0.12 26.25 6.906 UCR779
## 673 4.942 0.20 26.29 9.080 IT97K-499
## 680 0.251 0.12 26.29 8.419 Suvita-2
## 5 0.621 0.60 23.35 7.814 CB5-2
## 12 0.200 0.28 23.15 9.981 Sanzi
## 19 0.554 0.39 23.53 9.709 UCR779
## 26 0.710 0.12 23.11 10.055 IT97K-499
## 33 0.512 0.13 23.43 10.169 Suvita-2
## 40 0.105 0.14 23.63 8.793 CB5-2
## 47 0.359 0.15 23.59 8.068 Sanzi
## 54 0.408 0.26 24.09 9.795 UCR779
## 61 0.296 0.16 23.89 10.485 IT97K-499
## 68 -0.007 0.25 23.89 10.035 Suvita-2
## 75 0.666 0.33 24.85 6.459 CB5-2
## 82 0.222 0.10 24.43 9.245 Sanzi
## 89 0.129 0.24 24.19 8.890 UCR779
## 96 0.241 0.11 24.57 9.924 IT97K-499
## 103 0.258 0.19 23.77 9.612 Suvita-2
## 110 1.621 0.32 24.95 6.096 CB5-2
## 117 0.409 0.20 24.67 9.641 Sanzi
## 124 -0.503 0.29 23.99 8.991 UCR779
## 131 0.230 0.28 24.95 9.909 IT97K-499
## 138 0.303 0.23 25.43 10.585 Suvita-2
## 145 0.318 0.19 24.43 7.388 CB5-2
## 152 0.231 0.58 25.29 10.265 Sanzi
## 159 0.422 0.23 24.43 9.468 UCR779
## 166 0.329 0.23 25.67 10.047 IT97K-499
## 173 0.229 0.20 25.43 9.518 Suvita-2
## 180 0.529 0.45 24.85 7.790 CB5-2
## 187 -0.145 0.22 26.01 11.694 Sanzi
## 194 0.004 0.31 26.29 9.446 UCR779
## 201 0.200 0.20 26.43 10.399 IT97K-499
## 208 0.100 0.28 26.99 10.856 Suvita-2
## 215 0.779 0.15 24.51 7.147 CB5-2
## 222 0.082 0.14 26.79 9.572 Sanzi
## 229 0.472 0.19 26.19 8.651 UCR779
## 236 0.387 0.20 26.89 9.481 IT97K-499
## 243 0.734 0.14 25.87 9.246 Suvita-2
## 250 1.372 0.26 24.13 7.313 CB5-2
## 257 0.218 0.16 26.93 9.458 Sanzi
## 264 0.214 0.25 27.03 8.822 UCR779
## 271 0.112 0.44 26.85 9.939 IT97K-499
## 278 0.124 0.19 25.57 8.988 Suvita-2
## 285 -0.347 0.27 25.57 7.333 CB5-2
## 292 0.442 0.14 26.85 8.932 Sanzi
## 299 0.622 0.51 26.85 9.702 UCR779
## 306 0.245 0.68 25.91 9.100 IT97K-499
## 313 -0.189 0.14 25.23 8.736 Suvita-2
## 320 0.127 0.25 24.99 7.008 CB5-2
## 327 0.531 0.16 26.61 9.232 Sanzi
## 334 1.122 0.22 26.39 7.141 UCR779
## 341 0.035 0.28 26.15 9.896 IT97K-499
## 347 0.127 0.22 26.35 9.161 Suvita-2
## 354 0.452 0.49 26.43 6.802 CB5-2
## 365 0.344 0.25 27.11 8.156 IT97K-499
## 371 -0.007 0.30 27.21 9.657 Suvita-2
## 377 1.183 0.24 24.71 8.860 CB5-2
## 383 1.578 0.14 27.07 7.425 Sanzi
## 389 0.066 0.45 25.09 9.573 UCR779
## 395 0.173 0.12 27.11 9.482 IT97K-499
## 401 0.220 0.16 27.25 9.191 Suvita-2
## 407 0.300 0.28 27.07 6.931 CB5-2
## 413 0.594 0.19 27.17 9.076 Sanzi
## 419 0.073 0.43 26.61 9.019 UCR779
## 425 0.797 0.17 27.21 9.031 IT97K-499
## 430 0.207 0.20 27.21 9.171 Suvita-2
## 436 0.208 0.32 26.71 7.588 CB5-2
## 442 0.262 0.18 27.07 9.559 Sanzi
## 448 2.344 0.15 26.79 7.640 UCR779
## 454 0.238 0.22 26.89 8.701 IT97K-499
## 460 0.190 0.16 25.95 8.156 Suvita-2
## 466 0.636 0.14 26.67 7.441 CB5-2
## 467 0.544 0.18 24.61 7.431 CB5-2
## 473 0.771 0.31 26.79 7.093 Sanzi
## 479 0.030 0.24 26.89 8.218 UCR779
## 485 0.077 0.45 26.93 8.577 IT97K-499
## 491 0.258 0.20 26.93 8.970 Suvita-2
## 497 -0.310 0.28 26.71 7.565 CB5-2
## 503 0.560 0.18 26.67 6.764 Sanzi
## 509 0.434 0.27 25.91 7.641 UCR779
## 516 -0.025 0.21 26.57 8.101 IT97K-499
## 523 -0.054 0.19 26.43 8.274 Suvita-2
## 530 1.916 0.88 23.85 7.684 CB5-2
## 538 0.337 0.48 26.05 7.725 UCR779
## 546 0.194 0.07 26.19 7.200 Suvita-2
## 553 0.105 0.20 26.05 8.377 CB5-2
## 560 0.047 0.21 26.39 10.022 Sanzi
## 567 -0.187 0.25 26.61 9.592 UCR779
## 574 -0.079 0.27 26.53 10.109 IT97K-499
## 581 -0.448 0.30 25.05 9.832 Suvita-2
## 588 0.218 0.32 23.81 8.174 CB5-2
## 595 0.307 0.38 26.05 11.353 Sanzi
## 602 0.019 0.38 23.73 9.202 UCR779
## 609 0.347 0.66 23.59 10.136 IT97K-499
## 616 -0.064 0.24 23.99 10.690 Suvita-2
## 623 0.148 0.11 25.71 6.836 CB5-2
## 628 0.231 0.13 27.03 5.884 Sanzi
## 637 0.230 0.15 26.79 9.049 IT97K-499
## 644 0.209 0.17 26.29 8.443 Suvita-2
## 651 0.267 0.19 26.71 6.848 CB5-2
## 658 0.148 0.14 26.93 8.976 Sanzi
## 665 0.329 0.19 26.85 7.329 UCR779
## 672 0.121 0.18 27.07 9.104 IT97K-499
## 679 0.304 0.13 27.21 8.645 Suvita-2
## 4 0.912 0.67 23.85 8.388 CB5-2
## 11 0.360 0.45 24.47 9.526 Sanzi
## 18 0.774 0.24 23.85 10.389 UCR779
## 25 0.271 0.18 25.43 9.660 IT97K-499
## 32 0.001 0.11 24.23 10.733 Suvita-2
## 39 0.271 0.24 23.01 8.804 CB5-2
## 46 0.252 0.18 25.47 9.871 Sanzi
## 53 0.474 0.14 25.77 9.593 UCR779
## 60 -2.358 0.18 25.91 10.513 IT97K-499
## 67 0.240 0.24 23.67 10.317 Suvita-2
## 74 12.179 0.39 24.51 6.537 CB5-2
## 81 0.291 0.19 25.81 8.778 Sanzi
## 88 -2.945 0.23 24.09 8.906 UCR779
## 95 0.089 0.12 26.01 9.875 IT97K-499
## 102 -0.434 0.21 26.25 9.673 Suvita-2
## 109 0.192 0.15 26.47 7.251 CB5-2
## 116 0.130 0.10 26.57 9.158 Sanzi
## 123 -0.284 0.29 25.05 9.690 UCR779
## 130 0.017 0.21 26.67 9.974 IT97K-499
## 137 0.027 0.30 26.71 10.938 Suvita-2
## 144 -0.507 0.25 24.85 8.333 CB5-2
## 151 -0.137 0.56 26.85 10.096 Sanzi
## 158 0.983 0.38 25.09 9.299 UCR779
## 165 0.146 0.17 26.85 9.499 IT97K-499
## 172 0.118 0.34 25.71 9.255 Suvita-2
## 179 1.707 0.39 27.35 8.166 CB5-2
## 186 0.142 0.18 26.93 10.861 Sanzi
## 193 -0.044 0.30 27.17 9.720 UCR779
## 200 0.120 0.30 27.29 10.968 IT97K-499
## 207 0.092 0.29 26.19 10.875 Suvita-2
## 214 0.184 0.26 23.99 7.805 CB5-2
## 221 0.307 0.53 27.29 9.691 Sanzi
## 228 -0.520 0.19 27.49 7.966 UCR779
## 235 0.076 0.23 27.57 9.125 IT97K-499
## 242 -0.018 0.28 27.53 8.736 Suvita-2
## 249 -0.241 0.30 25.33 7.205 CB5-2
## 256 0.233 0.56 28.11 9.196 Sanzi
## 263 0.412 0.23 27.99 8.384 UCR779
## 270 0.051 0.21 27.85 9.585 IT97K-499
## 277 0.504 0.13 27.81 8.553 Suvita-2
## 284 0.249 0.17 27.17 7.352 CB5-2
## 291 0.116 0.26 27.85 8.659 Sanzi
## 298 0.343 0.24 27.75 8.853 UCR779
## 305 0.083 0.21 27.75 8.990 IT97K-499
## 312 0.017 0.39 24.85 7.882 Suvita-2
## 319 0.556 0.26 25.19 7.281 CB5-2
## 326 0.251 0.11 27.53 8.768 Sanzi
## 333 0.172 0.13 26.89 7.456 UCR779
## 340 0.082 0.31 27.39 9.981 IT97K-499
## 346 0.285 0.19 27.61 8.757 Suvita-2
## 353 0.090 0.34 27.25 6.991 CB5-2
## 359 0.359 0.15 27.61 6.006 Sanzi
## 361 0.115 0.21 27.67 7.505 UCR779
## 364 0.223 0.21 27.75 8.402 IT97K-499
## 370 0.728 0.11 27.61 8.978 Suvita-2
## 376 0.379 0.20 23.39 8.893 CB5-2
## 382 0.471 0.11 27.39 7.985 Sanzi
## 388 1.133 0.66 23.19 9.496 UCR779
## 394 0.199 0.21 27.03 9.317 IT97K-499
## 400 0.341 0.17 27.17 9.048 Suvita-2
## 406 0.177 0.56 24.43 7.349 CB5-2
## 412 0.129 0.17 26.75 8.855 Sanzi
## 418 0.163 0.17 26.71 8.923 UCR779
## 424 0.294 0.13 27.07 8.502 IT97K-499
## 429 0.056 0.15 27.07 8.928 Suvita-2
## 435 -0.328 0.25 24.19 7.650 CB5-2
## 441 0.010 0.16 26.79 9.358 Sanzi
## 447 0.148 0.19 26.79 7.463 UCR779
## 453 -0.023 0.23 26.79 8.880 IT97K-499
## 459 0.157 0.20 25.47 8.388 Suvita-2
## 465 -0.134 0.42 26.05 8.259 CB5-2
## 472 -2.520 0.23 26.61 10.707 Sanzi
## 478 0.172 0.21 26.67 9.224 UCR779
## 484 0.513 0.19 26.71 8.926 IT97K-499
## 490 0.191 0.12 26.79 9.644 Suvita-2
## 496 -0.640 0.16 26.43 8.493 CB5-2
## 502 0.135 0.14 26.71 8.457 Sanzi
## 508 0.213 0.15 26.79 9.003 UCR779
## 515 0.066 0.29 26.71 9.724 IT97K-499
## 522 0.043 0.25 26.75 9.995 Suvita-2
## 529 0.144 0.26 25.39 9.373 CB5-2
## 537 -0.019 0.24 26.43 9.813 UCR779
## 545 -0.033 0.15 25.87 8.828 Suvita-2
## 552 2.015 0.24 24.91 8.896 CB5-2
## 559 0.027 0.17 26.35 10.302 Sanzi
## 566 -0.040 0.36 26.29 10.585 UCR779
## 573 -2.018 0.25 26.43 10.472 IT97K-499
## 580 -0.541 0.57 25.05 11.153 Suvita-2
## 587 0.096 0.27 24.03 9.015 CB5-2
## 594 0.058 0.20 26.25 9.874 Sanzi
## 601 -0.043 0.32 26.15 9.887 UCR779
## 608 0.002 0.20 26.43 10.484 IT97K-499
## 615 -0.016 0.28 25.67 11.298 Suvita-2
## 622 0.098 0.24 24.85 8.016 CB5-2
## 627 0.408 0.23 25.95 6.673 Sanzi
## 636 0.184 0.20 26.39 9.642 IT97K-499
## 643 0.173 0.20 26.29 8.739 Suvita-2
## 650 -0.441 0.49 24.95 8.132 CB5-2
## 657 0.115 0.27 26.11 9.670 Sanzi
## 664 0.165 0.22 26.25 8.112 UCR779
## 671 0.086 0.13 26.67 9.812 IT97K-499
## 678 0.230 0.16 26.89 8.682 Suvita-2
## 3 0.168 0.36 28.11 8.202 CB5-2
## 10 0.264 0.06 27.81 9.523 Sanzi
## 17 0.375 0.24 29.97 10.249 UCR779
## 24 -0.555 0.91 27.99 9.765 IT97K-499
## 31 -0.700 0.09 28.81 10.240 Suvita-2
## 38 0.316 0.50 28.39 9.139 CB5-2
## 45 -0.173 0.64 27.39 10.201 Sanzi
## 52 -0.259 1.34 26.47 9.939 UCR779
## 59 0.177 0.19 27.21 11.557 IT97K-499
## 66 -0.166 0.52 28.21 9.025 Suvita-2
## 73 -0.733 0.73 27.85 6.581 CB5-2
## 80 0.181 0.19 27.35 8.751 Sanzi
## 87 3.560 1.25 26.71 9.077 UCR779
## 94 0.160 0.08 27.89 9.637 IT97K-499
## 101 0.935 1.00 27.81 9.425 Suvita-2
## 108 -3.250 0.14 28.53 6.190 CB5-2
## 115 0.274 0.31 27.53 9.699 Sanzi
## 122 1.188 0.36 27.21 9.805 UCR779
## 129 0.065 0.82 27.99 9.857 IT97K-499
## 136 0.084 0.17 27.35 11.091 Suvita-2
## 143 0.343 1.11 25.29 7.005 CB5-2
## 150 0.194 0.26 27.29 9.752 Sanzi
## 157 0.169 0.25 26.47 9.341 UCR779
## 164 -0.071 0.55 27.89 9.543 IT97K-499
## 171 0.621 0.32 27.07 8.353 Suvita-2
## 178 0.562 0.37 27.35 8.297 CB5-2
## 185 0.106 0.41 27.21 9.133 Sanzi
## 192 0.756 0.35 28.17 9.022 UCR779
## 199 -0.374 0.15 27.29 11.022 IT97K-499
## 206 0.046 0.41 27.53 11.152 Suvita-2
## 213 0.612 0.27 27.67 7.053 CB5-2
## 220 0.326 0.15 27.21 9.686 Sanzi
## 227 0.602 0.21 28.53 8.500 UCR779
## 234 0.038 0.79 29.11 8.972 IT97K-499
## 241 0.231 0.43 28.85 7.568 Suvita-2
## 248 0.741 0.14 28.49 7.363 CB5-2
## 255 1.286 0.16 28.11 8.921 Sanzi
## 262 0.401 1.29 28.81 8.620 UCR779
## 269 0.807 0.69 29.23 9.759 IT97K-499
## 276 0.316 0.99 29.01 8.707 Suvita-2
## 283 1.155 0.22 26.75 7.709 CB5-2
## 290 0.292 0.22 28.07 8.566 Sanzi
## 297 3.378 1.21 27.49 9.090 UCR779
## 304 0.450 0.26 29.29 8.881 IT97K-499
## 311 0.417 0.46 27.49 7.837 Suvita-2
## 318 0.475 0.44 29.79 8.114 CB5-2
## 325 0.571 0.16 28.89 9.111 Sanzi
## 332 2.191 0.76 28.53 7.683 UCR779
## 339 -0.223 1.04 27.61 9.140 IT97K-499
## 345 0.159 1.08 28.03 8.881 Suvita-2
## 352 6.746 0.16 26.89 6.987 CB5-2
## 358 0.694 0.54 27.67 7.003 Sanzi
## 363 0.337 0.69 27.39 8.758 IT97K-499
## 369 -3.128 0.76 27.43 8.477 Suvita-2
## 375 0.251 0.48 28.21 8.466 CB5-2
## 381 0.297 0.23 28.35 7.760 Sanzi
## 387 0.337 1.37 27.11 10.946 UCR779
## 393 -0.229 0.13 28.39 9.195 IT97K-499
## 399 0.906 0.35 29.33 9.182 Suvita-2
## 405 2.234 0.21 27.99 6.625 CB5-2
## 411 1.045 0.75 27.07 8.388 Sanzi
## 417 0.411 1.10 26.93 9.051 UCR779
## 423 1.448 0.65 27.11 7.503 IT97K-499
## 434 0.682 0.91 27.61 7.739 CB5-2
## 440 0.017 0.10 28.31 9.513 Sanzi
## 446 -0.745 1.39 28.43 7.687 UCR779
## 452 0.103 0.10 27.99 9.226 IT97K-499
## 458 2.182 0.23 27.71 7.261 Suvita-2
## 464 -25.365 0.26 26.75 8.455 CB5-2
## 471 0.003 0.56 26.89 11.174 Sanzi
## 477 -0.269 0.59 28.53 10.155 UCR779
## 483 0.079 0.11 29.07 10.116 IT97K-499
## 489 0.130 0.31 28.43 9.932 Suvita-2
## 495 -0.050 1.18 28.39 9.330 CB5-2
## 501 0.001 0.26 27.93 9.648 Sanzi
## 507 0.088 0.39 27.21 10.181 UCR779
## 514 -1.358 0.57 27.89 10.933 IT97K-499
## 521 0.007 0.41 26.75 12.365 Suvita-2
## 528 0.385 4.18 28.39 9.467 CB5-2
## 536 -0.061 1.07 27.39 11.205 UCR779
## 544 0.132 0.16 28.97 9.827 Suvita-2
## 551 0.106 0.17 27.89 9.531 CB5-2
## 558 0.645 0.70 27.89 9.217 Sanzi
## 565 -0.053 0.72 27.81 10.949 UCR779
## 572 0.966 0.79 27.85 11.253 IT97K-499
## 579 -0.200 0.69 27.49 10.864 Suvita-2
## 586 1.343 0.38 26.05 9.208 CB5-2
## 593 0.145 0.18 27.11 9.338 Sanzi
## 600 0.003 1.52 28.43 10.388 UCR779
## 607 -0.034 0.78 28.11 10.806 IT97K-499
## 614 -0.015 0.96 29.15 11.589 Suvita-2
## 621 0.300 1.44 28.89 8.160 CB5-2
## 635 -0.489 0.18 28.07 9.886 IT97K-499
## 642 -0.472 0.48 28.71 7.919 Suvita-2
## 649 0.101 0.20 26.53 8.689 CB5-2
## 656 0.094 0.34 27.35 10.384 Sanzi
## 663 0.316 1.11 28.49 8.762 UCR779
## 670 0.118 0.21 28.97 9.785 IT97K-499
## 677 0.185 0.40 28.81 8.935 Suvita-2
## 2 0.251 1.00 26.71 7.324 CB5-2
## 9 0.261 0.73 26.93 8.176 Sanzi
## 16 0.010 0.55 26.25 8.220 UCR779
## 23 0.068 0.29 26.25 9.421 IT97K-499
## 30 -0.166 0.31 25.81 9.632 Suvita-2
## 37 4.173 0.30 23.73 8.706 CB5-2
## 44 0.278 0.88 23.59 9.438 Sanzi
## 51 0.508 0.53 24.13 9.489 UCR779
## 58 -0.028 0.29 24.51 11.003 IT97K-499
## 65 -0.115 0.75 25.05 8.751 Suvita-2
## 72 0.039 0.48 24.75 6.668 CB5-2
## 79 0.178 0.59 23.95 8.113 Sanzi
## 86 0.203 1.15 23.77 9.475 UCR779
## 93 0.561 0.35 23.29 9.179 IT97K-499
## 100 0.339 0.91 26.25 7.886 Suvita-2
## 107 0.293 0.09 25.95 6.837 CB5-2
## 114 0.120 0.82 25.53 8.692 Sanzi
## 121 -0.048 1.46 24.09 9.779 UCR779
## 128 0.195 0.61 23.43 8.717 IT97K-499
## 135 0.116 0.50 23.95 8.983 Suvita-2
## 142 -0.094 0.84 24.91 7.921 CB5-2
## 149 0.188 1.00 25.05 8.489 Sanzi
## 156 0.163 0.67 25.15 9.289 UCR779
## 163 0.185 0.27 23.35 8.937 IT97K-499
## 170 0.456 0.20 24.43 7.523 Suvita-2
## 177 0.572 0.28 25.53 8.119 CB5-2
## 184 0.293 0.93 26.15 9.628 Sanzi
## 191 0.163 0.97 27.29 9.270 UCR779
## 198 0.361 0.25 26.67 10.612 IT97K-499
## 205 -0.160 1.27 27.25 9.693 Suvita-2
## 212 0.907 0.77 25.91 7.113 CB5-2
## 219 0.489 0.87 25.91 8.028 Sanzi
## 226 0.395 1.16 25.95 8.489 UCR779
## 233 -5.772 0.78 27.03 8.117 IT97K-499
## 240 0.939 0.46 27.57 7.030 Suvita-2
## 247 0.082 0.41 25.67 7.517 CB5-2
## 254 0.094 0.75 25.29 7.714 Sanzi
## 261 1.099 1.22 26.19 6.830 UCR779
## 268 -4.097 1.01 24.91 9.531 IT97K-499
## 275 -4.460 0.99 24.95 7.851 Suvita-2
## 282 2.382 1.03 25.91 7.488 CB5-2
## 289 0.576 0.81 25.77 9.100 Sanzi
## 296 -1.692 0.37 26.25 7.359 UCR779
## 303 0.162 0.71 24.51 9.204 IT97K-499
## 310 -0.348 1.00 24.85 6.698 Suvita-2
## 317 0.486 0.84 24.95 8.301 CB5-2
## 324 0.995 0.82 24.33 8.377 Sanzi
## 331 -1.797 0.56 25.67 7.957 UCR779
## 338 1.591 0.90 23.99 9.025 IT97K-499
## 351 0.131 0.47 23.11 8.442 CB5-2
## 506 0.490 0.62 29.01 10.413 UCR779
## 513 -0.079 0.74 27.29 11.028 IT97K-499
## 520 0.049 0.69 26.61 11.056 Suvita-2
## 527 0.079 0.48 25.67 11.147 CB5-2
## 535 0.143 0.78 24.71 11.154 UCR779
## 543 -0.067 0.71 25.09 10.405 Suvita-2
## 550 -0.909 0.39 25.43 9.475 CB5-2
## 557 0.085 0.58 25.15 10.862 Sanzi
## 564 0.001 0.54 26.05 11.027 UCR779
## 571 0.157 0.57 25.47 10.929 IT97K-499
## 578 -0.468 0.84 24.27 10.739 Suvita-2
## 585 0.534 0.88 25.71 8.615 CB5-2
## 592 0.126 0.65 25.43 9.585 Sanzi
## 599 -0.072 1.03 24.85 10.448 UCR779
## 606 0.172 1.05 25.23 11.497 IT97K-499
## 613 -0.096 0.96 25.39 11.706 Suvita-2
## 620 0.934 0.30 26.93 8.269 CB5-2
## 632 0.237 0.62 26.61 8.757 UCR779
## 634 0.161 0.55 25.53 10.269 IT97K-499
## 641 -0.219 0.60 26.47 8.445 Suvita-2
## 648 -0.039 0.76 27.03 8.669 CB5-2
## 655 0.106 0.36 26.29 10.438 Sanzi
## 662 -0.446 0.87 24.99 8.604 UCR779
## 669 0.098 0.89 24.03 9.728 IT97K-499
## 676 0.693 0.29 24.43 9.007 Suvita-2
## 1 0.519 0.68 24.61 7.214 CB5-2
## 8 0.541 0.15 23.05 7.814 Sanzi
## 15 0.162 0.18 23.35 9.389 UCR779
## 22 0.130 0.11 23.35 8.630 IT97K-499
## 29 0.696 0.23 23.43 8.896 Suvita-2
## 36 -0.499 0.19 24.61 7.072 CB5-2
## 43 0.150 0.12 23.95 8.319 Sanzi
## 50 0.154 0.24 24.19 9.375 UCR779
## 57 0.722 0.25 24.27 9.727 IT97K-499
## 64 0.419 0.16 25.19 7.268 Suvita-2
## 71 0.235 0.39 24.51 5.818 CB5-2
## 78 -0.256 0.28 24.91 7.017 Sanzi
## 85 0.398 0.36 25.05 8.716 UCR779
## 92 0.170 0.20 25.09 9.132 IT97K-499
## 99 0.852 0.37 25.05 7.306 Suvita-2
## 106 0.974 0.26 24.91 7.318 CB5-2
## 113 2.270 0.20 25.57 7.154 Sanzi
## 120 -0.095 0.24 24.75 8.942 UCR779
## 127 0.229 0.19 25.53 9.232 IT97K-499
## 134 0.314 0.20 25.71 9.172 Suvita-2
## 141 1.210 0.49 25.05 7.722 CB5-2
## 148 0.133 0.32 25.53 8.343 Sanzi
## 155 0.186 0.31 25.77 8.960 UCR779
## 162 0.580 0.28 26.11 8.921 IT97K-499
## 169 -1.182 0.46 26.01 7.012 Suvita-2
## 176 0.203 0.33 25.71 7.665 CB5-2
## 183 0.917 0.25 26.29 8.035 Sanzi
## 190 0.144 0.37 26.43 8.866 UCR779
## 197 0.074 0.19 26.57 9.445 IT97K-499
## 204 1.122 0.36 26.67 7.118 Suvita-2
## 211 0.498 0.21 26.75 7.260 CB5-2
## 218 0.403 0.19 27.43 8.067 Sanzi
## 225 0.102 0.29 27.35 8.700 UCR779
## 232 0.367 0.20 27.57 4.057 IT97K-499
## 239 0.863 0.29 27.25 6.724 Suvita-2
## 246 1.540 0.30 25.57 6.893 CB5-2
## 253 1.965 0.15 27.57 7.003 Sanzi
## 260 0.056 0.27 27.67 8.014 UCR779
## 267 0.042 0.17 27.67 8.522 IT97K-499
## 274 -0.109 0.26 26.75 7.162 Suvita-2
## 281 -9.267 0.43 27.49 6.841 CB5-2
## 288 -2.427 0.25 27.61 7.344 Sanzi
## 295 0.657 0.29 27.85 8.481 UCR779
## 302 0.681 0.22 27.99 8.341 IT97K-499
## 309 -0.486 0.33 28.07 5.620 Suvita-2
## 316 0.977 0.28 26.93 7.155 CB5-2
## 323 0.231 0.21 27.17 8.060 Sanzi
## 330 0.038 0.28 26.53 7.315 UCR779
## 337 0.105 0.26 26.11 9.151 IT97K-499
## 344 0.987 0.13 27.25 7.475 Suvita-2
## 350 0.455 0.59 26.61 6.511 CB5-2
## 357 0.113 0.21 27.21 6.717 Sanzi
## 360 0.329 0.13 27.29 8.710 UCR779
## 362 0.235 0.18 27.43 8.271 IT97K-499
## 368 0.126 0.28 27.49 7.154 Suvita-2
## 374 0.211 0.34 23.39 8.194 CB5-2
## 380 0.354 0.53 23.85 7.411 Sanzi
## 386 -0.046 4.16 25.23 9.802 UCR779
## 392 -6.487 1.05 23.19 7.734 IT97K-499
## 398 -26.213 1.06 24.47 6.589 Suvita-2
## 404 0.089 1.22 25.71 6.953 CB5-2
## 410 0.178 0.80 24.71 7.803 Sanzi
## 416 0.245 1.24 23.81 8.202 UCR779
## 422 0.130 0.83 24.37 8.761 IT97K-499
## 428 4.596 0.98 23.53 6.789 Suvita-2
## 433 1.923 1.09 25.39 6.958 CB5-2
## 439 0.408 0.89 25.53 8.294 Sanzi
## 445 -0.259 0.74 25.81 7.345 UCR779
## 451 -0.914 1.00 25.81 9.330 IT97K-499
## 457 0.745 0.80 25.47 5.934 Suvita-2
## 463 0.487 0.98 25.05 8.337 CB5-2
## 470 0.249 0.72 25.05 9.807 Sanzi
## 476 0.052 1.36 24.43 10.038 UCR779
## 482 0.325 0.94 24.37 10.738 IT97K-499
## 488 -0.025 0.98 24.47 10.645 Suvita-2
## 494 0.303 0.29 23.95 9.599 CB5-2
## 500 0.091 0.86 26.11 11.064 Sanzi
## 505 0.422 1.07 23.77 10.704 UCR779
## 512 0.056 0.70 23.67 10.816 IT97K-499
## 519 0.051 0.64 24.43 11.433 Suvita-2
## 526 0.124 1.13 25.33 10.600 CB5-2
## 534 -0.155 1.07 23.19 11.418 UCR779
## 542 -0.046 0.65 23.77 11.018 Suvita-2
## 549 0.068 1.07 25.63 8.210 CB5-2
## 556 0.415 0.36 23.59 9.188 Sanzi
## 563 0.294 1.26 22.67 10.707 UCR779
## 570 0.148 1.21 22.81 10.525 IT97K-499
## 577 -0.027 0.91 22.77 10.384 Suvita-2
## 584 0.253 0.33 23.99 8.338 CB5-2
## 591 -0.128 0.70 24.27 9.542 Sanzi
## 598 0.626 1.16 22.95 9.711 UCR779
## 605 0.391 0.83 23.53 10.595 IT97K-499
## 612 -0.263 0.94 24.37 9.246 Suvita-2
## 619 0.175 0.56 25.29 8.391 CB5-2
## 626 0.305 0.41 22.09 8.498 Sanzi
## 631 0.165 0.74 22.91 8.500 UCR779
## 633 0.045 0.89 23.73 9.653 IT97K-499
## 640 0.325 1.41 25.71 7.773 Suvita-2
## 647 0.036 0.43 25.63 8.519 CB5-2
## 654 -0.057 0.48 23.43 8.300 Sanzi
## 661 0.180 0.96 23.19 8.604 UCR779
## 668 3.035 0.51 23.81 9.632 IT97K-499
## 675 0.084 1.05 24.51 9.321 Suvita-2Photosyn_geno$Pot_Day <- paste(Photosyn_geno$Pot.number, Photosyn_geno$Day, sep = "_")
Photosyn_geno2 <- subset(Photosyn_geno, Photosyn_geno$Pot_Day != "26_14")
Photosyn_geno2$PS1.Active.Centers <- gsub("277.723", "n.a.", Photosyn_geno2$PS1.Active.Centers)
Photosyn_geno2$PS1.Active.Centers <- as.numeric(as.character(Photosyn_geno2$PS1.Active.Centers))## Warning: NAs introduced by coercionPhotosyn_geno2$leaf_thickness <- gsub("4.16", "n.a.", Photosyn_geno2$leaf_thickness)
Photosyn_geno2$leaf_thickness <- as.numeric(as.character(Photosyn_geno2$leaf_thickness))## Warning: NAs introduced by coercionPhotosyn_geno2$leaf_thickness <- gsub("4.18", "n.a.", Photosyn_geno2$leaf_thickness)
Photosyn_geno2$leaf_thickness <- as.numeric(as.character(Photosyn_geno2$leaf_thickness))## Warning: NAs introduced by coercionPhotosyn_geno2$Day <- gsub("12", "-2", Photosyn_geno2$Day)
Photosyn_geno2$Day <- gsub("14", "0", Photosyn_geno2$Day)
Photosyn_geno2$Day <- gsub("16", "2", Photosyn_geno2$Day)
Photosyn_geno2$Day <- gsub("19", "5", Photosyn_geno2$Day)
Photosyn_geno2$Day <- gsub("21", "8", Photosyn_geno2$Day)
Photosyn_geno2$Day <- gsub("23", "10", Photosyn_geno2$Day)
Photosyn_geno2$Day <- gsub("26", "13", Photosyn_geno2$Day)
Photosyn_geno2## Pot.number Day Treatment FoPrime PhiNPQ FvP_over_FmP FmPrime
## 1 1 13 Control 401 0.258 0.672 1223.85
## 2 1 10 Control 339 0.242 0.677 1048.70
## 3 1 8 Control 365 0.160 0.728 1340.80
## 4 1 5 Control 465 0.201 0.694 1520.71
## 5 1 2 Control 424 0.181 0.717 1496.55
## 6 1 0 Control 353 0.134 0.742 1368.85
## 7 1 -2 Control 343 0.104 0.765 1457.11
## 8 2 13 Control 393 0.272 0.647 1113.53
## 9 2 10 Control 325 0.100 0.761 1361.79
## 10 2 8 Control 392 0.118 0.740 1506.93
## 11 2 5 Control 369 0.105 0.761 1544.38
## 12 2 2 Control 481 0.208 0.693 1565.74
## 13 2 0 Control 413 0.102 0.749 1646.23
## 14 2 -2 Control 369 0.090 0.771 1609.82
## 15 3 13 Control 466 0.155 0.729 1719.21
## 16 3 10 Control 323 0.101 0.757 1327.91
## 17 3 8 Control 395 0.200 0.694 1291.75
## 18 3 5 Control 429 0.121 0.745 1683.06
## 19 3 2 Control 503 0.207 0.692 1635.29
## 20 3 0 Control 387 0.084 0.774 1715.35
## 21 3 -2 Control 326 0.088 0.776 1452.38
## 22 4 13 Control 403 0.155 0.730 1494.42
## 23 4 10 Control 385 0.133 0.731 1433.15
## 24 4 8 Control 345 0.138 0.736 1308.08
## 25 4 5 Control 387 0.132 0.731 1438.18
## 26 4 2 Control 522 0.274 0.614 1353.84
## 27 4 0 Control 404 0.096 0.757 1662.66
## 28 4 -2 Control 419 0.172 0.717 1479.84
## 29 5 13 Control 409 0.314 0.598 1018.23
## 30 5 10 Control 350 0.107 0.746 1377.85
## 31 5 8 Control 359 0.111 0.758 1483.08
## 32 5 5 Control 401 0.155 0.726 1462.78
## 33 5 2 Control 480 0.393 0.548 1062.55
## 34 5 0 Control 411 0.095 0.756 1686.16
## 35 5 -2 Control 401 0.133 0.746 1576.68
## 36 6 13 Control 368 0.189 0.715 1292.19
## 37 6 10 Control 348 0.139 0.735 1314.38
## 38 6 8 Control 407 0.204 0.691 1317.91
## 39 6 5 Control 362 0.216 0.680 1129.82
## 40 6 2 Control 405 0.119 0.755 1653.61
## 41 6 0 Control 372 0.102 0.764 1573.63
## 42 6 -2 Control 336 0.082 0.776 1497.66
## 43 7 13 Control 398 0.142 0.733 1489.36
## 44 7 10 Control 344 0.102 0.751 1382.41
## 45 7 8 Control 376 0.109 0.745 1476.02
## 46 7 5 Control 376 0.118 0.744 1469.56
## 47 7 2 Control 367 0.135 0.747 1451.22
## 48 7 0 Control 360 0.086 0.771 1572.80
## 49 7 -2 Control 337 0.087 0.767 1444.92
## 50 8 13 Control 411 0.129 0.746 1615.55
## 51 8 10 Control 343 0.107 0.759 1422.95
## 52 8 8 Control 460 0.164 0.698 1523.80
## 53 8 5 Control 430 0.148 0.724 1559.25
## 54 8 2 Control 439 0.142 0.736 1664.95
## 55 8 0 Control 391 0.092 0.766 1672.32
## 56 8 -2 Control 363 0.102 0.761 1519.21
## 57 9 13 Control 399 0.175 0.709 1372.73
## 58 9 10 Control 341 0.077 0.767 1464.33
## 59 9 8 Control 397 0.125 0.726 1451.13
## 60 9 5 Control 431 0.149 0.729 1590.69
## 61 9 2 Control 448 0.171 0.711 1551.54
## 62 9 0 Control 382 0.103 0.751 1533.99
## 63 9 -2 Control 518 0.245 0.630 1401.30
## 64 10 13 Control 365 0.224 0.687 1164.49
## 65 10 10 Control 321 0.130 0.748 1275.77
## 66 10 8 Control 373 0.179 0.707 1273.10
## 67 10 5 Control 369 0.129 0.744 1442.57
## 68 10 2 Control 387 0.120 0.752 1558.06
## 69 10 0 Control 383 0.092 0.762 1605.95
## 70 10 -2 Control 389 0.141 0.742 1505.45
## 71 11 13 Control 257 0.269 0.667 771.57
## 72 11 10 Control 263 0.190 0.712 913.61
## 73 11 8 Control 260 0.199 0.705 882.85
## 74 11 5 Control 295 0.204 0.696 969.37
## 75 11 2 Control 297 0.163 0.731 1105.25
## 76 11 0 Control 265 0.196 0.703 890.84
## 77 11 -2 Control 298 0.191 0.714 1042.08
## 78 12 13 Control 382 0.332 0.614 989.93
## 79 12 10 Control 347 0.142 0.734 1302.75
## 80 12 8 Control 344 0.151 0.725 1250.40
## 81 12 5 Control 370 0.135 0.742 1432.42
## 82 12 2 Control 390 0.109 0.758 1612.42
## 83 12 0 Control 346 0.090 0.770 1501.69
## 84 12 -2 Control 343 0.069 0.778 1545.97
## 85 13 13 Control 343 0.120 0.754 1396.18
## 86 13 10 Control 300 0.107 0.762 1260.44
## 87 13 8 Control 316 0.099 0.761 1323.40
## 88 13 5 Control 430 0.170 0.725 1563.18
## 89 13 2 Control 364 0.109 0.764 1541.49
## 90 13 0 Control 353 0.110 0.758 1458.68
## 91 13 -2 Control 325 0.113 0.758 1345.21
## 92 14 13 Control 339 0.172 0.707 1157.07
## 93 14 10 Control 355 0.125 0.745 1392.88
## 94 14 8 Control 346 0.109 0.750 1384.75
## 95 14 5 Control 343 0.112 0.754 1394.60
## 96 14 2 Control 375 0.111 0.759 1558.99
## 97 14 0 Control 342 0.092 0.767 1469.30
## 98 14 -2 Control 343 0.095 0.762 1442.96
## 99 15 13 Control 321 0.245 0.670 973.57
## 100 15 10 Control 335 0.152 0.719 1191.75
## 101 15 8 Control 330 0.296 0.615 856.34
## 102 15 5 Control 375 0.146 0.731 1396.50
## 103 15 2 Control 381 0.141 0.739 1460.68
## 104 15 0 Control 365 0.151 0.728 1343.32
## 105 15 -2 Control 341 0.103 0.766 1459.27
## 106 16 13 Control 335 0.112 0.755 1365.67
## 107 16 10 Control 280 0.110 0.762 1174.69
## 108 16 8 Control 316 0.206 0.687 1011.11
## 109 16 5 Control 314 0.156 0.733 1175.88
## 110 16 2 Control 295 0.155 0.742 1143.84
## 111 16 0 Control 316 0.149 0.739 1209.46
## 112 16 -2 Control 321 0.112 0.764 1362.36
## 113 17 13 Control 328 0.192 0.695 1076.09
## 114 17 10 Control 308 0.096 0.759 1278.55
## 115 17 8 Control 343 0.107 0.751 1376.62
## 116 17 5 Control 359 0.124 0.747 1419.37
## 117 17 2 Control 427 0.154 0.730 1579.65
## 118 17 0 Control 355 0.102 0.763 1500.85
## 119 17 -2 Control 360 0.077 0.776 1604.68
## 120 18 13 Control 388 0.141 0.735 1463.21
## 121 18 10 Control 342 0.102 0.760 1426.23
## 122 18 8 Control 365 0.121 0.740 1403.78
## 123 18 5 Control 353 0.096 0.765 1504.36
## 124 18 2 Control 442 0.147 0.717 1561.39
## 125 18 0 Control 346 0.089 0.773 1524.24
## 126 18 -2 Control 350 0.100 0.765 1486.38
## 127 19 13 Control 359 0.130 0.743 1397.86
## 128 19 10 Control 322 0.102 0.763 1357.71
## 129 19 8 Control 311 0.106 0.756 1276.47
## 130 19 5 Control 357 0.104 0.760 1488.23
## 131 19 2 Control 355 0.100 0.765 1513.69
## 132 19 0 Control 355 0.100 0.765 1508.09
## 133 19 -2 Control 371 0.114 0.751 1492.54
## 134 20 13 Control 371 0.188 0.701 1238.82
## 135 20 10 Control 348 0.102 0.760 1449.22
## 136 20 8 Control 366 0.113 0.747 1447.97
## 137 20 5 Control 336 0.090 0.767 1444.86
## 138 20 2 Control 346 0.088 0.773 1525.23
## 139 20 0 Control 338 0.079 0.779 1527.07
## 140 20 -2 Control 404 0.128 0.738 1542.85
## 141 21 13 Control 319 0.139 0.743 1242.85
## 142 21 10 Control 301 0.142 0.739 1155.19
## 143 21 8 Control 283 0.117 0.746 1114.36
## 144 21 5 Control 331 0.114 0.757 1361.12
## 145 21 2 Control 342 0.127 0.751 1375.97
## 146 21 0 Control 318 0.126 0.751 1278.17
## 147 21 -2 Control 272 0.169 0.729 1002.67
## 148 22 13 Control 310 0.091 0.766 1326.08
## 149 22 10 Control 282 0.080 0.775 1251.27
## 150 22 8 Control 352 0.131 0.742 1365.64
## 151 22 5 Control 363 0.107 0.754 1474.52
## 152 22 2 Control 436 0.156 0.722 1569.45
## 153 22 0 Control 353 0.088 0.771 1541.68
## 154 22 -2 Control 356 0.115 0.752 1432.99
## 155 23 13 Control 366 0.145 0.738 1399.05
## 156 23 10 Control 319 0.095 0.768 1377.51
## 157 23 8 Control 398 0.127 0.732 1483.29
## 158 23 5 Control 349 0.089 0.765 1487.45
## 159 23 2 Control 372 0.091 0.767 1596.41
## 160 23 0 Control 297 0.126 0.749 1182.90
## 161 23 -2 Control 295 0.127 0.751 1183.95
## 162 24 13 Control 333 0.106 0.753 1348.18
## 163 24 10 Control 356 0.121 0.745 1396.19
## 164 24 8 Control 387 0.164 0.708 1324.75
## 165 24 5 Control 339 0.110 0.756 1386.69
## 166 24 2 Control 411 0.192 0.702 1380.79
## 167 24 0 Control 316 0.089 0.772 1383.95
## 168 24 -2 Control 369 0.103 0.754 1502.47
## 169 25 13 Control 301 0.277 0.644 846.34
## 170 25 10 Control 322 0.159 0.731 1194.87
## 171 25 8 Control 357 0.209 0.674 1093.57
## 172 25 5 Control 366 0.133 0.743 1426.79
## 173 25 2 Control 359 0.148 0.733 1342.30
## 174 25 0 Control 338 0.099 0.767 1450.31
## 175 25 -2 Control 385 0.154 0.730 1424.99
## 176 26 13 Control 319 0.118 0.747 1263.14
## 177 26 10 Control 403 0.261 0.654 1164.54
## 178 26 8 Control 335 0.141 0.733 1254.42
## 179 26 5 Control 349 0.127 0.743 1356.22
## 180 26 2 Control 317 0.097 0.767 1360.68
## 182 26 -2 Control 303 0.198 0.712 1050.44
## 183 27 13 Control 365 0.170 0.713 1273.02
## 184 27 10 Control 335 0.095 0.757 1376.24
## 185 27 8 Control 376 0.102 0.748 1489.33
## 186 27 5 Control 355 0.095 0.762 1493.51
## 187 27 2 Control 411 0.120 0.743 1601.09
## 188 27 0 Control 379 0.099 0.753 1536.68
## 189 27 -2 Control 400 0.133 0.733 1495.92
## 190 28 13 Control 369 0.138 0.736 1397.06
## 191 28 10 Control 311 0.084 0.772 1363.95
## 192 28 8 Control 334 0.128 0.742 1294.84
## 193 28 5 Control 334 0.090 0.768 1440.35
## 194 28 2 Control 321 0.074 0.781 1467.82
## 195 28 0 Control 328 0.087 0.774 1448.79
## 196 28 -2 Control 335 0.112 0.760 1398.70
## 197 29 13 Control 367 0.129 0.741 1419.34
## 198 29 10 Control 362 0.100 0.759 1500.70
## 199 29 8 Control 355 0.108 0.743 1383.53
## 200 29 5 Control 338 0.088 0.768 1458.93
## 201 29 2 Control 336 0.083 0.774 1488.98
## 202 29 0 Control 337 0.082 0.775 1500.32
## 203 29 -2 Control 351 0.102 0.762 1472.93
## 204 30 13 Control 331 0.348 0.574 776.94
## 205 30 10 Control 350 0.189 0.697 1153.94
## 206 30 8 Control 378 0.127 0.735 1425.11
## 207 30 5 Control 338 0.094 0.765 1438.13
## 208 30 2 Control 377 0.101 0.762 1586.12
## 209 30 0 Control 333 0.092 0.770 1444.81
## 210 30 -2 Control 431 0.152 0.723 1557.83
## 211 31 13 Control 306 0.155 0.730 1132.10
## 212 31 10 Control 266 0.198 0.705 901.43
## 213 31 8 Control 285 0.157 0.729 1051.18
## 214 31 5 Control 323 0.116 0.753 1305.23
## 215 31 2 Control 293 0.105 0.764 1241.25
## 216 31 0 Control 286 0.120 0.753 1156.93
## 217 31 -2 Control 258 0.170 0.726 940.79
## 218 32 13 Control 335 0.234 0.667 1004.87
## 219 32 10 Control 268 0.086 0.768 1155.22
## 220 32 8 Control 345 0.131 0.737 1311.60
## 221 32 5 Control 333 0.118 0.748 1321.57
## 222 32 2 Control 361 0.138 0.738 1376.09
## 223 32 0 Control 332 0.104 0.753 1346.15
## 224 32 -2 Control 299 0.101 0.764 1269.54
## 225 33 13 Control 367 0.128 0.742 1423.86
## 226 33 10 Control 270 0.075 0.771 1179.97
## 227 33 8 Control 325 0.133 0.740 1248.72
## 228 33 5 Control 315 0.102 0.760 1313.51
## 229 33 2 Control 406 0.167 0.717 1434.57
## 230 33 0 Control 335 0.102 0.765 1424.29
## 231 33 -2 Control 358 0.129 0.747 1416.67
## 232 34 13 Control 225 0.260 0.649 641.70
## 233 34 10 Control 287 0.120 0.746 1131.21
## 234 34 8 Control 300 0.148 0.732 1118.64
## 235 34 5 Control 323 0.119 0.750 1291.94
## 236 34 2 Control 367 0.183 0.712 1272.30
## 237 34 0 Control 330 0.106 0.760 1373.35
## 238 34 -2 Control 302 0.116 0.759 1254.66
## 239 35 13 Control 297 0.289 0.638 820.72
## 240 35 10 Control 275 0.313 0.604 694.37
## 241 35 8 Control 271 0.149 0.738 1035.32
## 242 35 5 Control 377 0.163 0.717 1331.64
## 243 35 2 Control 359 0.230 0.677 1112.45
## 244 35 0 Control 348 0.221 0.681 1092.35
## 245 35 -2 Control 330 0.130 0.744 1289.16
## 246 36 13 Drought 282 0.141 0.737 1073.66
## 247 36 10 Drought 301 0.141 0.739 1151.89
## 248 36 8 Drought 334 0.233 0.672 1018.62
## 249 36 5 Drought 317 0.135 0.742 1229.17
## 250 36 2 Drought 317 0.169 0.725 1152.63
## 251 36 0 Drought 313 0.109 0.758 1294.02
## 252 36 -2 Drought 398 0.239 0.661 1175.27
## 253 37 13 Drought 327 0.301 0.614 846.65
## 254 37 10 Drought 327 0.224 0.668 984.13
## 255 37 8 Drought 372 0.162 0.718 1317.19
## 256 37 5 Drought 366 0.132 0.739 1401.67
## 257 37 2 Drought 361 0.226 0.688 1157.87
## 258 37 0 Drought 367 0.094 0.758 1515.36
## 259 37 -2 Drought 381 0.181 0.710 1314.91
## 260 38 13 Drought 368 0.140 0.735 1386.73
## 261 38 10 Drought 243 0.189 0.716 854.68
## 262 38 8 Drought 346 0.160 0.720 1237.64
## 263 38 5 Drought 393 0.152 0.727 1437.45
## 264 38 2 Drought 370 0.136 0.744 1447.11
## 265 38 0 Drought 359 0.098 0.767 1537.78
## 266 38 -2 Drought 363 0.153 0.735 1370.49
## 267 39 13 Drought 359 0.156 0.724 1298.84
## 268 39 10 Drought 353 0.114 0.746 1388.62
## 269 39 8 Drought 323 0.117 0.750 1290.08
## 270 39 5 Drought 337 0.159 0.724 1222.93
## 271 39 2 Drought 339 0.107 0.761 1418.46
## 272 39 0 Drought 357 0.102 0.757 1468.08
## 273 39 -2 Drought 452 0.232 0.657 1317.19
## 274 40 13 Drought 357 0.546 0.418 613.14
## 275 40 10 Drought 317 0.291 0.622 838.97
## 276 40 8 Drought 291 0.203 0.701 972.21
## 277 40 5 Drought 329 0.239 0.673 1006.29
## 278 40 2 Drought 356 0.149 0.733 1334.80
## 279 40 0 Drought 341 0.103 0.760 1418.16
## 280 40 -2 Drought 383 0.161 0.724 1385.97
## 281 41 13 Drought 333 0.318 0.610 854.90
## 282 41 10 Drought 277 0.158 0.726 1009.59
## 283 41 8 Drought 388 0.341 0.585 934.74
## 284 41 5 Drought 295 0.141 0.743 1148.32
## 285 41 2 Drought 322 0.141 0.744 1258.21
## 286 41 0 Drought 320 0.107 0.759 1327.75
## 287 41 -2 Drought 313 0.126 0.740 1203.07
## 288 42 13 Drought 404 0.260 0.651 1157.44
## 289 42 10 Drought 323 0.109 0.755 1318.06
## 290 42 8 Drought 431 0.234 0.664 1282.38
## 291 42 5 Drought 374 0.204 0.696 1229.40
## 292 42 2 Drought 409 0.167 0.725 1486.26
## 293 42 0 Drought 335 0.090 0.764 1421.17
## 294 42 -2 Drought 342 0.104 0.756 1401.96
## 295 43 13 Drought 419 0.163 0.707 1428.78
## 296 43 10 Drought 295 0.156 0.733 1106.32
## 297 43 8 Drought 317 0.127 0.744 1236.83
## 298 43 5 Drought 379 0.127 0.742 1467.17
## 299 43 2 Drought 409 0.182 0.711 1415.95
## 300 43 0 Drought 355 0.088 0.770 1541.34
## 301 43 -2 Drought 341 0.103 0.761 1426.13
## 302 44 13 Drought 314 0.140 0.732 1173.23
## 303 44 10 Drought 337 0.101 0.760 1406.42
## 304 44 8 Drought 309 0.120 0.747 1219.05
## 305 44 5 Drought 321 0.121 0.751 1287.98
## 306 44 2 Drought 315 0.119 0.753 1277.65
## 307 44 0 Drought 373 0.130 0.738 1422.69
## 308 44 -2 Drought 325 0.098 0.755 1326.24
## 309 45 13 Drought 220 0.251 0.680 686.89
## 310 45 10 Drought 247 0.168 0.725 898.78
## 311 45 8 Drought 284 0.173 0.712 984.70
## 312 45 5 Drought 357 0.198 0.703 1201.80
## 313 45 2 Drought 365 0.255 0.660 1073.01
## 314 45 0 Drought 347 0.172 0.711 1200.89
## 315 45 -2 Drought 379 0.146 0.735 1432.16
## 316 46 13 Drought 293 0.142 0.739 1121.53
## 317 46 10 Drought 291 0.139 0.741 1124.91
## 318 46 8 Drought 294 0.170 0.719 1047.55
## 319 46 5 Drought 294 0.101 0.760 1225.88
## 320 46 2 Drought 275 0.105 0.764 1163.72
## 321 46 0 Drought 294 0.111 0.756 1203.13
## 322 46 -2 Drought 286 0.122 0.756 1170.98
## 323 47 13 Drought 347 0.139 0.737 1318.37
## 324 47 10 Drought 319 0.125 0.746 1256.45
## 325 47 8 Drought 341 0.161 0.721 1221.73
## 326 47 5 Drought 322 0.096 0.765 1368.45
## 327 47 2 Drought 345 0.101 0.763 1456.68
## 328 47 0 Drought 352 0.094 0.759 1463.31
## 329 47 -2 Drought 354 0.098 0.760 1477.80
## 330 48 13 Drought 321 0.204 0.698 1061.89
## 331 48 10 Drought 326 0.170 0.726 1191.01
## 332 48 8 Drought 271 0.183 0.715 949.22
## 333 48 5 Drought 303 0.094 0.769 1312.09
## 334 48 2 Drought 285 0.088 0.773 1257.52
## 335 48 0 Drought 296 0.118 0.755 1206.97
## 336 48 -2 Drought 302 0.130 0.747 1193.82
## 337 49 13 Drought 377 0.189 0.702 1266.81
## 338 49 10 Drought 301 0.113 0.757 1241.04
## 339 49 8 Drought 274 0.100 0.763 1156.93
## 340 49 5 Drought 336 0.111 0.757 1385.09
## 341 49 2 Drought 331 0.101 0.764 1404.56
## 342 49 0 Drought 356 0.114 0.750 1426.06
## 343 49 -2 Drought 373 0.115 0.741 1442.45
## 344 50 13 Drought 335 0.441 0.490 657.01
## 345 50 8 Drought 307 0.214 0.687 979.45
## 346 50 5 Drought 323 0.138 0.742 1252.91
## 347 50 2 Drought 329 0.106 0.760 1368.14
## 348 50 0 Drought 329 0.110 0.757 1353.48
## 349 50 -2 Drought 367 0.120 0.746 1447.29
## 350 51 13 Drought 238 0.213 0.694 777.81
## 351 51 10 Drought 363 0.175 0.716 1276.43
## 352 51 8 Drought 286 0.210 0.699 951.45
## 353 51 5 Drought 262 0.160 0.728 962.95
## 354 51 2 Drought 267 0.129 0.752 1074.82
## 355 51 0 Drought 276 0.147 0.734 1039.10
## 356 51 -2 Drought 292 0.178 0.727 1069.15
## 357 52 13 Drought 251 0.106 0.763 1057.45
## 358 52 8 Drought 279 0.132 0.738 1065.10
## 359 52 5 Drought 249 0.137 0.748 987.46
## 360 53 13 Drought 299 0.070 0.787 1402.33
## 361 53 5 Drought 288 0.097 0.771 1256.34
## 362 54 13 Drought 294 0.130 0.747 1162.05
## 363 54 8 Drought 339 0.127 0.740 1302.11
## 364 54 5 Drought 305 0.103 0.764 1294.67
## 365 54 2 Drought 299 0.090 0.773 1315.18
## 366 54 0 Drought 314 0.077 0.778 1417.19
## 367 54 -2 Drought 316 0.124 0.752 1272.96
## 368 55 13 Drought 290 0.184 0.714 1015.27
## 369 55 8 Drought 307 0.376 0.565 705.51
## 370 55 5 Drought 396 0.213 0.692 1286.97
## 371 55 2 Drought 385 0.181 0.708 1316.31
## 372 55 0 Drought 367 0.142 0.730 1361.53
## 373 55 -2 Drought 381 0.125 0.742 1477.87
## 374 56 13 Drought 323 0.209 0.695 1060.44
## 375 56 8 Drought 373 0.185 0.704 1258.83
## 376 56 5 Drought 362 0.135 0.745 1418.15
## 377 56 2 Drought 366 0.111 0.756 1498.55
## 378 56 0 Drought 446 0.155 0.708 1527.36
## 379 56 -2 Drought 445 0.210 0.674 1365.78
## 380 57 13 Drought 289 0.159 0.725 1051.79
## 381 57 8 Drought 329 0.158 0.719 1170.27
## 382 57 5 Drought 305 0.115 0.756 1250.77
## 383 57 2 Drought 288 0.101 0.767 1237.13
## 384 57 0 Drought 312 0.089 0.771 1364.93
## 385 57 -2 Drought 331 0.126 0.751 1331.25
## 386 58 13 Drought 417 0.130 0.726 1521.22
## 387 58 8 Drought 381 0.164 0.716 1341.93
## 388 58 5 Drought 339 0.129 0.746 1336.65
## 389 58 2 Drought 362 0.094 0.768 1560.05
## 390 58 0 Drought 348 0.081 0.772 1523.74
## 391 58 -2 Drought 356 0.129 0.743 1387.72
## 392 59 13 Drought 316 0.172 0.719 1125.81
## 393 59 8 Drought 329 0.140 0.737 1251.36
## 394 59 5 Drought 343 0.122 0.748 1362.93
## 395 59 2 Drought 329 0.105 0.763 1387.94
## 396 59 0 Drought 325 0.095 0.768 1400.74
## 397 59 -2 Drought 363 0.138 0.743 1410.15
## 398 60 13 Drought 232 0.544 0.416 397.32
## 399 60 8 Drought 308 0.332 0.583 738.13
## 400 60 5 Drought 348 0.242 0.662 1030.95
## 401 60 2 Drought 353 0.177 0.712 1227.01
## 402 60 0 Drought 332 0.092 0.771 1449.01
## 403 60 -2 Drought 325 0.077 0.780 1479.41
## 404 61 13 Drought 233 0.155 0.738 888.45
## 405 61 8 Drought 228 0.144 0.742 885.08
## 406 61 5 Drought 276 0.132 0.749 1099.73
## 407 61 2 Drought 256 0.137 0.746 1007.42
## 408 61 0 Drought 261 0.129 0.749 1038.66
## 409 61 -2 Drought 279 0.117 0.758 1150.76
## 410 62 13 Drought 311 0.137 0.739 1189.35
## 411 62 8 Drought 329 0.120 0.743 1280.79
## 412 62 5 Drought 333 0.140 0.740 1280.34
## 413 62 2 Drought 339 0.111 0.759 1406.75
## 414 62 0 Drought 314 0.070 0.784 1450.75
## 415 62 -2 Drought 315 0.080 0.779 1423.13
## 416 63 13 Drought 335 0.148 0.736 1270.08
## 417 63 8 Drought 327 0.098 0.760 1362.21
## 418 63 5 Drought 334 0.093 0.770 1449.38
## 419 63 2 Drought 315 0.076 0.781 1437.35
## 420 63 0 Drought 311 0.066 0.785 1443.35
## 421 63 -2 Drought 335 0.093 0.770 1456.99
## 422 64 13 Drought 322 0.157 0.731 1196.76
## 423 64 8 Drought 270 0.142 0.729 994.97
## 424 64 5 Drought 332 0.120 0.752 1339.78
## 425 64 2 Drought 306 0.122 0.753 1240.36
## 426 64 0 Drought 311 0.083 0.777 1397.62
## 427 64 -2 Drought 325 0.095 0.769 1406.39
## 428 65 13 Drought 259 0.433 0.501 518.53
## 429 65 5 Drought 335 0.171 0.717 1185.78
## 430 65 2 Drought 337 0.163 0.724 1221.19
## 431 65 0 Drought 337 0.124 0.747 1333.60
## 432 65 -2 Drought 330 0.080 0.778 1484.05
## 433 66 13 Drought 250 0.214 0.695 819.50
## 434 66 8 Drought 262 0.147 0.734 986.13
## 435 66 5 Drought 298 0.120 0.753 1205.90
## 436 66 2 Drought 309 0.138 0.746 1216.62
## 437 66 0 Drought 316 0.147 0.738 1205.30
## 438 66 -2 Drought 318 0.134 0.747 1255.99
## 439 67 13 Drought 327 0.163 0.723 1180.78
## 440 67 8 Drought 334 0.100 0.762 1402.32
## 441 67 5 Drought 363 0.136 0.743 1414.57
## 442 67 2 Drought 352 0.118 0.753 1426.65
## 443 67 0 Drought 341 0.111 0.759 1416.99
## 444 67 -2 Drought 340 0.119 0.754 1384.05
## 445 68 13 Drought 312 0.184 0.720 1113.70
## 446 68 8 Drought 278 0.156 0.731 1034.28
## 447 68 5 Drought 306 0.135 0.747 1208.50
## 448 68 2 Drought 321 0.172 0.729 1185.22
## 449 68 0 Drought 300 0.122 0.754 1220.45
## 450 68 -2 Drought 323 0.187 0.719 1147.97
## 451 69 13 Drought 300 0.103 0.765 1275.37
## 452 69 8 Drought 309 0.111 0.756 1264.67
## 453 69 5 Drought 306 0.106 0.763 1289.02
## 454 69 2 Drought 297 0.092 0.772 1302.31
## 455 69 0 Drought 299 0.101 0.760 1243.58
## 456 69 -2 Drought 303 0.088 0.774 1339.92
## 457 70 13 Drought 205 0.475 0.494 405.32
## 458 70 8 Drought 309 0.468 0.462 574.50
## 459 70 5 Drought 349 0.163 0.729 1289.78
## 460 70 2 Drought 328 0.170 0.724 1189.20
## 461 70 0 Drought 337 0.192 0.709 1157.89
## 462 70 -2 Drought 331 0.123 0.752 1334.20
## 463 71 13 Salt 332 0.202 0.698 1097.60
## 464 71 8 Salt 329 0.167 0.723 1189.29
## 465 71 5 Salt 298 0.088 0.774 1316.63
## 466 71 2 Salt 357 0.151 0.730 1322.55
## 467 71 2 Drought 333 0.114 0.751 1339.76
## 468 71 0 Salt 314 0.122 0.753 1273.76
## 469 71 -2 Salt 392 0.173 0.707 1335.81
## 470 72 13 Salt 298 0.105 0.757 1225.33
## 471 72 8 Salt 331 0.114 0.739 1268.08
## 472 72 5 Salt 367 0.119 0.739 1408.63
## 473 72 2 Salt 336 0.116 0.740 1291.89
## 474 72 0 Salt 357 0.106 0.759 1481.50
## 475 72 -2 Salt 315 0.076 0.780 1434.11
## 476 73 13 Salt 315 0.089 0.772 1383.66
## 477 73 8 Salt 320 0.129 0.730 1185.16
## 478 73 5 Salt 303 0.073 0.780 1376.00
## 479 73 2 Salt 324 0.117 0.755 1324.19
## 480 73 0 Salt 315 0.114 0.758 1302.08
## 481 73 -2 Salt 325 0.101 0.767 1394.26
## 482 74 13 Salt 306 0.076 0.780 1388.28
## 483 74 8 Salt 341 0.102 0.745 1337.83
## 484 74 5 Salt 327 0.092 0.765 1393.94
## 485 74 2 Salt 312 0.111 0.760 1300.19
## 486 74 0 Salt 278 0.096 0.770 1211.11
## 487 74 -2 Salt 264 0.080 0.779 1193.07
## 488 75 13 Salt 309 0.086 0.774 1365.33
## 489 75 8 Salt 343 0.154 0.714 1197.25
## 490 75 5 Salt 385 0.119 0.735 1453.56
## 491 75 2 Salt 411 0.123 0.738 1568.48
## 492 75 0 Salt 383 0.117 0.745 1502.42
## 493 75 -2 Salt 335 0.081 0.776 1497.96
## 494 76 13 Salt 427 0.225 0.672 1300.79
## 495 76 8 Salt 308 0.126 0.748 1220.87
## 496 76 5 Salt 310 0.092 0.773 1366.61
## 497 76 2 Salt 289 0.097 0.768 1246.45
## 498 76 0 Salt 283 0.161 0.729 1045.25
## 499 76 -2 Salt 266 0.183 0.711 921.43
## 500 77 13 Salt 336 0.100 0.749 1336.55
## 501 77 8 Salt 359 0.135 0.726 1309.36
## 502 77 5 Salt 319 0.090 0.770 1388.25
## 503 77 2 Salt 345 0.143 0.742 1334.88
## 504 77 0 Salt 270 0.140 0.737 1027.96
## 505 78 13 Salt 291 0.079 0.777 1306.18
## 506 78 10 Salt 383 0.131 0.736 1450.03
## 507 78 8 Salt 356 0.128 0.728 1309.04
## 508 78 5 Salt 334 0.078 0.776 1488.89
## 509 78 2 Salt 303 0.101 0.765 1287.52
## 510 78 0 Salt 317 0.118 0.757 1302.64
## 511 78 -2 Salt 307 0.123 0.751 1232.28
## 512 79 13 Salt 313 0.094 0.764 1323.93
## 513 79 10 Salt 297 0.093 0.759 1233.06
## 514 79 8 Salt 325 0.105 0.751 1306.66
## 515 79 5 Salt 319 0.088 0.770 1386.03
## 516 79 2 Salt 320 0.107 0.761 1336.94
## 517 79 0 Salt 337 0.117 0.745 1321.10
## 519 80 13 Salt 329 0.104 0.760 1372.44
## 520 80 10 Salt 329 0.094 0.756 1351.01
## 521 80 8 Salt 387 0.130 0.714 1354.67
## 522 80 5 Salt 322 0.083 0.770 1402.85
## 523 80 2 Salt 323 0.090 0.769 1398.30
## 524 80 0 Salt 368 0.107 0.755 1503.14
## 525 80 -2 Salt 395 0.122 0.742 1528.53
## 526 81 13 Salt 347 0.114 0.739 1332.04
## 527 81 10 Salt 418 0.158 0.705 1418.83
## 528 81 8 Salt 319 0.122 0.744 1247.77
## 529 81 5 Salt 326 0.091 0.769 1411.56
## 530 81 2 Salt 374 0.125 0.749 1492.35
## 531 81 0 Salt 315 0.112 0.762 1324.32
## 532 81 -2 Salt 362 0.141 0.747 1428.91
## 534 83 13 Salt 327 0.087 0.760 1363.24
## 535 83 10 Salt 304 0.086 0.766 1300.47
## 536 83 8 Salt 311 0.117 0.740 1194.96
## 537 83 5 Salt 309 0.070 0.781 1409.21
## 538 83 2 Salt 314 0.127 0.747 1240.48
## 539 83 0 Salt 299 0.107 0.761 1252.66
## 540 83 -2 Salt 309 0.117 0.754 1254.56
## 542 85 13 Salt 320 0.089 0.766 1368.37
## 543 85 10 Salt 383 0.114 0.744 1496.20
## 544 85 8 Salt 350 0.141 0.720 1248.79
## 545 85 5 Salt 317 0.086 0.770 1380.00
## 546 85 2 Salt 299 0.107 0.757 1230.97
## 547 85 0 Salt 292 0.129 0.748 1158.21
## 548 85 -2 Salt 284 0.103 0.766 1214.91
## 549 86 13 Salt 287 0.131 0.752 1155.16
## 550 86 10 Salt 346 0.136 0.740 1331.83
## 551 86 8 Salt 383 0.161 0.709 1317.41
## 552 86 5 Salt 324 0.092 0.769 1400.87
## 553 86 2 Salt 326 0.101 0.766 1395.43
## 554 86 0 Salt 319 0.105 0.765 1358.97
## 555 86 -2 Salt 317 0.117 0.758 1309.88
## 556 87 13 Salt 314 0.085 0.769 1360.75
## 557 87 10 Salt 318 0.070 0.779 1436.42
## 558 87 8 Salt 285 0.109 0.752 1146.90
## 559 87 5 Salt 325 0.076 0.775 1446.70
## 560 87 2 Salt 335 0.083 0.775 1487.36
## 561 87 0 Salt 375 0.093 0.763 1580.99
## 562 87 -2 Salt 357 0.083 0.767 1529.49
## 563 88 13 Salt 390 0.157 0.712 1356.08
## 564 88 10 Salt 305 0.074 0.776 1361.71
## 565 88 8 Salt 301 0.120 0.742 1164.42
## 566 88 5 Salt 300 0.067 0.783 1380.88
## 567 88 2 Salt 313 0.081 0.777 1403.45
## 568 88 0 Salt 363 0.115 0.752 1466.38
## 569 88 -2 Salt 318 0.090 0.770 1385.32
## 570 89 13 Salt 311 0.090 0.768 1339.19
## 571 89 10 Salt 389 0.148 0.716 1368.77
## 572 89 8 Salt 332 0.124 0.728 1222.43
## 573 89 5 Salt 318 0.089 0.770 1384.98
## 574 89 2 Salt 316 0.092 0.770 1375.01
## 575 89 0 Salt 343 0.111 0.753 1388.25
## 576 89 -2 Salt 327 0.088 0.770 1419.02
## 577 90 13 Salt 324 0.084 0.768 1397.88
## 578 90 10 Salt 339 0.083 0.765 1440.83
## 579 90 8 Salt 340 0.117 0.735 1283.16
## 580 90 5 Salt 364 0.095 0.768 1566.25
## 581 90 2 Salt 447 0.146 0.733 1674.50
## 582 90 0 Salt 422 0.251 0.646 1193.53
## 583 90 -2 Salt 324 0.089 0.771 1413.75
## 584 91 13 Salt 324 0.164 0.728 1190.22
## 585 91 10 Salt 291 0.128 0.747 1149.92
## 586 91 8 Salt 359 0.158 0.718 1271.08
## 587 91 5 Salt 314 0.098 0.767 1347.70
## 588 91 2 Salt 336 0.105 0.765 1431.72
## 589 91 0 Salt 315 0.106 0.762 1322.13
## 590 91 -2 Salt 267 0.157 0.732 997.57
## 591 92 13 Salt 350 0.125 0.744 1369.85
## 592 92 10 Salt 299 0.098 0.766 1280.45
## 593 92 8 Salt 292 0.094 0.763 1233.55
## 594 92 5 Salt 315 0.082 0.774 1396.49
## 595 92 2 Salt 351 0.123 0.749 1396.22
## 596 92 0 Salt 351 0.121 0.745 1377.27
## 597 92 -2 Salt 381 0.096 0.760 1584.23
## 598 93 13 Salt 329 0.084 0.769 1423.66
## 599 93 10 Salt 329 0.097 0.748 1307.51
## 600 93 8 Salt 343 0.105 0.730 1270.85
## 601 93 5 Salt 315 0.079 0.777 1410.79
## 602 93 2 Salt 326 0.099 0.769 1412.05
## 603 93 0 Salt 361 0.118 0.754 1469.10
## 604 93 -2 Salt 330 0.098 0.767 1413.71
## 605 94 13 Salt 324 0.107 0.750 1295.14
## 606 94 10 Salt 382 0.189 0.701 1277.73
## 607 94 8 Salt 329 0.101 0.756 1350.37
## 608 94 5 Salt 335 0.094 0.768 1442.06
## 609 94 2 Salt 321 0.083 0.774 1418.81
## 610 94 0 Salt 328 0.088 0.773 1443.69
## 611 94 -2 Salt 367 0.092 0.764 1556.20
## 612 95 13 Salt 288 0.121 0.755 1176.12
## 613 95 10 Salt 330 0.097 0.766 1411.66
## 614 95 8 Salt 302 0.091 0.765 1286.52
## 615 95 5 Salt 345 0.101 0.762 1449.93
## 616 95 2 Salt 339 0.104 0.763 1430.57
## 617 95 0 Salt 373 0.175 0.703 1257.95
## 618 95 -2 Salt 362 0.084 0.769 1570.30
## 619 96 13 Salt 308 0.134 0.749 1226.64
## 620 96 10 Salt 332 0.203 0.692 1078.96
## 621 96 8 Salt 289 0.138 0.737 1097.79
## 622 96 5 Salt 275 0.080 0.778 1240.04
## 623 96 2 Salt 275 0.121 0.754 1119.01
## 624 96 0 Salt 229 0.227 0.679 712.82
## 625 96 -2 Salt 289 0.178 0.720 1032.24
## 626 97 13 Salt 317 0.065 0.784 1468.04
## 627 97 5 Salt 254 0.086 0.772 1114.07
## 628 97 2 Salt 222 0.097 0.774 981.37
## 629 97 0 Salt 237 0.081 0.780 1075.40
## 630 97 -2 Salt 218 0.127 0.752 879.61
## 631 98 13 Salt 304 0.090 0.776 1355.84
## 632 98 10 Salt 315 0.118 0.752 1271.87
## 633 99 13 Salt 289 0.093 0.769 1251.85
## 634 99 10 Salt 453 0.240 0.657 1322.29
## 635 99 8 Salt 423 0.180 0.695 1388.76
## 636 99 5 Salt 335 0.106 0.759 1388.52
## 637 99 2 Salt 407 0.139 0.725 1482.39
## 638 99 0 Salt 367 0.109 0.757 1511.53
## 639 99 -2 Salt 340 0.086 0.770 1477.67
## 640 100 13 Salt 275 0.223 0.697 908.16
## 641 100 10 Salt 290 0.146 0.739 1110.25
## 642 100 8 Salt 259 0.125 0.753 1047.13
## 643 100 5 Salt 325 0.119 0.755 1328.93
## 644 100 2 Salt 335 0.127 0.750 1338.54
## 645 100 0 Salt 371 0.201 0.680 1157.88
## 646 100 -2 Salt 352 0.107 0.755 1439.10
## 647 101 13 Salt 292 0.097 0.770 1270.09
## 648 101 10 Salt 345 0.156 0.722 1242.61
## 649 101 8 Salt 349 0.144 0.725 1270.22
## 650 101 5 Salt 312 0.098 0.756 1277.23
## 651 101 2 Salt 275 0.111 0.762 1155.41
## 652 101 0 Salt 292 0.148 0.735 1103.16
## 653 101 -2 Salt 285 0.133 0.744 1114.65
## 654 102 13 Salt 310 0.152 0.735 1168.41
## 655 102 10 Salt 330 0.089 0.763 1389.56
## 656 102 8 Salt 329 0.123 0.740 1265.36
## 657 102 5 Salt 319 0.084 0.772 1397.57
## 658 102 2 Salt 333 0.095 0.766 1423.38
## 659 102 0 Salt 352 0.102 0.757 1446.12
## 660 102 -2 Salt 348 0.095 0.762 1461.83
## 661 103 13 Salt 318 0.111 0.758 1312.30
## 662 103 10 Salt 310 0.123 0.752 1249.90
## 663 103 8 Salt 260 0.093 0.767 1116.99
## 664 103 5 Salt 335 0.115 0.746 1317.17
## 665 103 2 Salt 290 0.105 0.764 1227.78
## 666 103 0 Salt 336 0.140 0.744 1314.95
## 667 103 -2 Salt 319 0.136 0.738 1219.74
## 668 104 13 Salt 341 0.116 0.753 1379.31
## 669 104 10 Salt 291 0.086 0.765 1236.89
## 670 104 8 Salt 313 0.104 0.760 1306.61
## 671 104 5 Salt 337 0.111 0.758 1394.32
## 672 104 2 Salt 335 0.103 0.763 1412.40
## 673 104 0 Salt 389 0.137 0.734 1463.67
## 674 104 -2 Salt 359 0.098 0.761 1502.69
## 675 105 13 Salt 294 0.113 0.760 1222.51
## 676 105 10 Salt 302 0.076 0.777 1352.65
## 677 105 8 Salt 306 0.112 0.757 1260.94
## 678 105 5 Salt 314 0.107 0.762 1317.37
## 679 105 2 Salt 331 0.127 0.750 1326.15
## 680 105 0 Salt 335 0.125 0.744 1308.21
## 681 105 -2 Salt 366 0.135 0.743 1422.32
## PS1.Active.Centers PS1.Open.Centers PS1.Over.Reduced.Centers
## 1 0.559 0.985 -0.504
## 2 2.780 0.152 0.597
## 3 0.804 1.474 -0.642
## 4 0.501 1.095 -1.007
## 5 1.135 0.623 -0.244
## 6 0.181 0.124 -10.678
## 7 0.700 0.861 -0.278
## 8 0.790 0.587 -0.127
## 9 0.867 1.431 -0.693
## 10 0.745 1.505 -0.769
## 11 0.707 1.079 -0.439
## 12 1.575 0.577 0.223
## 13 1.265 1.301 -0.502
## 14 0.833 1.106 -0.318
## 15 0.902 0.771 0.067
## 16 1.614 0.671 0.319
## 17 0.858 1.560 -0.935
## 18 0.818 0.909 -0.683
## 19 1.074 0.820 -0.374
## 20 1.103 1.835 -1.116
## 21 0.611 8.546 -0.468
## 22 0.963 0.652 0.217
## 23 1.094 1.079 -0.146
## 24 1.531 1.220 0.335
## 25 1.059 1.615 -0.886
## 26 0.932 1.355 -1.066
## 27 0.785 1.049 -0.527
## 28 1.282 0.515 0.005
## 29 1.279 0.311 -0.006
## 30 1.809 0.971 0.195
## 31 1.141 2.142 -0.442
## 32 1.759 1.066 -0.066
## 33 2.147 0.611 -0.123
## 34 0.899 0.971 -0.203
## 35 -13.460 -0.075 1.038
## 36 -1.044 -0.175 1.674
## 37 0.124 11.275 -14.448
## 38 1.274 0.768 -0.084
## 39 1.383 0.914 -0.185
## 40 1.164 0.790 0.105
## 41 0.751 1.418 -0.752
## 42 -0.093 -3.431 12.736
## 43 0.755 0.589 0.261
## 44 1.188 1.201 -0.479
## 45 0.647 1.085 0.089
## 46 1.165 0.786 -0.037
## 47 1.179 0.483 0.158
## 48 1.470 1.232 -0.349
## 49 1.692 1.283 -0.457
## 50 0.654 1.313 -0.467
## 51 1.469 -0.691 1.183
## 52 -0.500 -1.730 2.989
## 53 0.388 1.734 -1.208
## 54 0.884 0.711 -0.119
## 55 1.218 1.469 -0.460
## 56 0.637 0.881 -0.353
## 57 0.185 3.032 -2.755
## 58 1.057 1.146 -0.118
## 59 0.772 1.688 -0.866
## 60 -0.540 -0.134 3.492
## 61 1.596 0.336 0.368
## 62 1.232 1.345 -0.524
## 63 0.183 2.382 -3.874
## 64 0.597 0.931 -0.350
## 65 1.835 0.868 0.247
## 66 0.848 1.392 -0.226
## 67 1.494 0.765 -0.005
## 68 1.959 0.917 0.090
## 69 1.442 1.285 -0.340
## 70 1.579 0.514 0.319
## 71 -1.165 -0.571 1.336
## 72 0.767 1.445 -0.484
## 73 0.593 2.071 -0.339
## 74 0.306 2.426 -13.605
## 75 2.628 0.161 0.173
## 76 0.687 1.453 -0.793
## 77 0.857 0.354 0.403
## 78 -0.778 -0.547 1.803
## 79 0.816 0.721 0.100
## 80 0.604 0.971 -0.152
## 81 0.658 0.672 0.037
## 82 1.091 0.512 0.267
## 83 1.666 1.112 -0.208
## 84 1.392 1.120 -0.158
## 85 0.658 1.344 -0.742
## 86 1.357 0.758 0.039
## 87 -0.274 0.542 -3.102
## 88 -0.212 -0.257 4.202
## 89 1.498 0.670 0.201
## 90 1.068 1.212 -0.396
## 91 0.138 5.784 -7.254
## 92 1.556 0.575 0.255
## 93 0.913 0.582 -0.142
## 94 0.718 1.330 -0.489
## 95 1.109 1.069 -0.159
## 96 1.459 0.805 -0.046
## 97 1.393 1.314 -0.430
## 98 2.591 0.366 0.763
## 99 0.530 0.999 -0.851
## 100 0.635 2.130 -1.469
## 101 0.782 0.935 -0.870
## 102 0.457 1.928 -0.493
## 103 1.133 0.819 -0.077
## 104 1.677 1.022 -0.326
## 105 1.048 0.752 -0.238
## 106 0.430 0.814 -0.788
## 107 0.511 2.034 -1.327
## 108 -0.124 -5.015 9.265
## 109 1.104 1.375 -0.567
## 110 0.366 0.137 -0.758
## 111 0.842 1.586 -0.735
## 112 1.197 1.353 -0.620
## 113 0.062 7.701 -8.971
## 114 0.618 1.996 -1.116
## 115 0.918 0.766 -0.040
## 116 1.240 0.763 0.107
## 117 0.840 0.660 -0.068
## 118 1.606 0.761 0.046
## 119 0.356 4.121 -0.837
## 120 -0.783 -0.841 1.936
## 121 -2.156 -0.366 1.414
## 122 0.405 2.298 -2.486
## 123 0.935 1.600 -0.316
## 124 -0.842 -0.725 2.228
## 125 0.641 2.082 -2.127
## 126 0.641 1.019 -0.170
## 127 0.916 0.847 -0.076
## 128 0.879 0.229 0.577
## 129 1.219 1.007 -0.072
## 130 0.914 1.064 -0.081
## 131 1.368 0.982 -0.212
## 132 1.585 1.282 -0.455
## 133 0.553 1.329 -0.804
## 134 0.891 0.874 -0.188
## 135 0.895 1.051 -0.167
## 136 1.072 1.015 -0.099
## 137 2.075 1.008 -0.035
## 138 1.793 0.781 -0.084
## 139 2.059 1.175 -0.213
## 140 0.474 0.682 -0.564
## 141 0.464 2.252 -2.462
## 142 0.817 1.313 -0.220
## 143 0.746 1.197 -0.540
## 144 1.328 1.705 -0.197
## 145 0.827 0.970 -0.288
## 146 0.493 0.608 -1.966
## 147 0.348 1.748 -0.391
## 148 0.776 1.571 -0.704
## 149 0.813 1.542 -0.730
## 150 0.871 1.282 -0.476
## 151 1.213 1.175 -0.039
## 152 1.086 1.071 -0.302
## 153 2.021 1.056 -0.115
## 154 1.155 1.537 -0.597
## 155 1.084 0.667 0.147
## 156 1.160 1.062 -0.225
## 157 0.737 1.123 -0.292
## 158 0.730 1.282 -1.265
## 159 0.836 1.080 -0.502
## 160 0.926 0.284 0.483
## 161 NA -0.003 1.006
## 162 1.300 0.846 -0.425
## 163 0.851 0.411 0.404
## 164 -1.546 -0.654 1.725
## 165 0.927 1.303 -0.450
## 166 1.310 0.617 0.054
## 167 1.668 1.735 -0.579
## 168 0.630 1.145 -0.538
## 169 -0.275 -3.498 5.680
## 170 0.440 0.979 -0.435
## 171 0.470 1.072 -0.694
## 172 1.279 0.762 0.120
## 173 1.457 0.860 -0.088
## 174 1.946 0.996 -0.065
## 175 1.283 0.764 0.032
## 176 -0.590 -1.563 2.361
## 177 0.694 0.751 -0.323
## 178 0.657 0.932 -0.494
## 179 0.192 3.560 -4.267
## 180 1.165 0.682 -0.210
## 182 0.725 0.275 -0.112
## 183 2.120 0.204 -0.121
## 184 1.223 0.878 -0.171
## 185 0.831 1.556 -0.662
## 186 1.505 0.900 -0.042
## 187 0.550 0.765 0.380
## 188 0.940 0.775 -0.034
## 189 1.561 0.909 -0.054
## 190 0.897 0.893 -0.037
## 191 0.630 1.643 -0.806
## 192 0.441 3.158 -2.914
## 193 1.564 0.919 0.125
## 194 1.126 1.812 -0.816
## 195 1.656 1.194 -0.402
## 196 0.791 1.471 -0.798
## 197 1.701 0.661 0.265
## 198 0.757 0.719 -0.080
## 199 0.927 2.139 -0.764
## 200 1.519 1.294 -0.415
## 201 1.726 1.222 -0.422
## 202 1.862 1.277 -0.280
## 203 1.709 0.484 0.122
## 204 0.669 0.304 -0.426
## 205 0.943 1.204 -0.044
## 206 1.342 1.029 -0.075
## 207 2.352 0.784 0.124
## 208 2.172 0.944 -0.043
## 209 2.399 0.963 0.002
## 210 1.624 0.672 0.148
## 211 0.477 1.822 -1.320
## 212 0.381 2.955 -2.861
## 213 0.903 0.741 -0.353
## 214 0.797 1.231 -0.415
## 215 0.714 1.118 -0.897
## 216 0.542 2.375 -1.458
## 217 0.546 0.514 0.004
## 218 0.840 0.659 -0.062
## 219 0.728 1.950 -1.438
## 220 0.852 1.095 -0.421
## 221 3.288 0.051 0.642
## 222 1.232 0.815 0.103
## 223 1.894 1.175 -0.358
## 224 0.608 0.404 -0.082
## 225 0.831 1.236 -0.338
## 226 3.377 0.249 0.356
## 227 0.452 2.661 -2.263
## 228 0.504 2.567 -1.047
## 229 0.711 1.076 -0.548
## 230 0.932 1.197 -0.399
## 231 0.562 1.701 -1.487
## 232 0.505 0.539 0.095
## 233 -0.135 -2.864 9.636
## 234 0.443 2.403 -1.441
## 235 0.862 1.209 -0.285
## 236 1.142 0.828 -0.215
## 237 1.440 1.200 -0.474
## 238 1.268 1.213 -0.346
## 239 0.394 0.742 -0.605
## 240 0.671 0.809 -0.748
## 241 0.866 1.454 -0.685
## 242 0.824 1.453 -0.435
## 243 0.153 9.539 -9.274
## 244 2.065 0.859 0.056
## 245 1.610 0.810 -0.578
## 246 0.099 4.414 -4.953
## 247 0.480 1.410 -0.492
## 248 0.547 1.453 -1.195
## 249 1.048 0.920 0.321
## 250 0.293 0.941 -1.313
## 251 0.373 2.339 -1.829
## 252 -0.043 -5.548 18.879
## 253 0.208 0.427 -1.391
## 254 1.005 0.637 0.269
## 255 0.132 4.408 -4.694
## 256 0.920 0.785 -0.018
## 257 1.369 0.564 0.217
## 258 2.462 0.921 -0.138
## 259 1.169 0.665 -0.020
## 260 0.509 1.215 -0.271
## 261 0.462 1.390 -1.489
## 262 0.626 2.114 -1.515
## 263 0.421 1.684 -1.096
## 264 0.871 1.105 -0.319
## 265 0.644 2.187 -1.375
## 266 0.964 0.600 -0.275
## 267 0.780 0.912 0.046
## 268 -0.065 -10.756 15.852
## 269 0.673 1.370 -1.177
## 270 0.960 1.371 -0.422
## 271 1.165 1.441 -0.553
## 272 0.791 1.689 -0.865
## 273 1.165 0.686 0.316
## 274 0.596 0.777 0.332
## 275 -0.069 -2.557 8.017
## 276 0.578 1.976 -1.291
## 277 1.027 0.969 -0.473
## 278 0.951 1.425 -0.549
## 279 1.084 1.213 -0.571
## 280 1.622 0.865 0.049
## 281 -0.173 -2.235 12.502
## 282 -1.695 -3.186 1.804
## 283 0.320 1.999 -2.154
## 284 0.603 1.119 -0.368
## 285 0.340 1.904 -0.557
## 286 0.454 2.283 -1.715
## 287 0.099 6.455 -6.926
## 288 0.535 3.960 -0.533
## 289 0.266 2.507 -2.083
## 290 1.061 0.811 -0.104
## 291 0.630 1.200 -0.316
## 292 0.610 0.924 -0.365
## 293 0.679 2.685 -1.864
## 294 -0.075 -6.530 9.726
## 295 0.344 1.714 -1.371
## 296 -0.083 -4.079 6.771
## 297 -0.925 -1.569 -0.809
## 298 0.480 2.141 -1.483
## 299 0.495 2.179 -1.802
## 300 1.226 1.246 -0.341
## 301 0.673 1.955 -1.313
## 302 0.623 1.210 -0.892
## 303 0.454 1.194 -0.356
## 304 0.510 2.193 -1.643
## 305 0.736 2.013 -1.097
## 306 0.950 1.758 -1.003
## 307 0.195 4.205 -4.191
## 308 1.116 1.382 -0.634
## 309 -0.610 -0.540 2.026
## 310 0.558 1.378 -0.031
## 311 0.467 1.217 -0.634
## 312 -0.991 -0.504 1.488
## 313 1.128 1.041 0.148
## 314 1.493 1.035 -0.080
## 315 0.887 0.583 0.287
## 316 0.337 2.131 -2.108
## 317 0.336 2.236 -1.722
## 318 0.704 1.611 -1.086
## 319 1.135 1.032 -0.588
## 320 0.713 1.598 -0.725
## 321 0.852 1.265 -0.508
## 322 0.481 1.771 -0.939
## 323 0.561 0.857 -0.087
## 324 0.238 1.646 -1.640
## 325 0.559 1.954 -1.525
## 326 0.758 0.787 -0.038
## 327 0.515 1.528 -1.059
## 328 1.433 1.295 -0.366
## 329 -0.060 -9.082 10.905
## 330 0.556 1.078 -0.117
## 331 -1.035 -0.307 3.105
## 332 0.378 3.103 -4.294
## 333 0.574 1.147 -0.319
## 334 0.193 2.870 -2.991
## 335 0.555 1.188 -0.738
## 336 1.001 0.617 0.333
## 337 0.677 0.737 0.158
## 338 0.224 3.622 -4.213
## 339 1.083 1.836 -0.613
## 340 0.733 2.298 -1.380
## 341 1.454 1.081 -0.116
## 342 1.033 1.301 -0.496
## 343 0.821 1.831 -0.903
## 344 0.700 0.268 -0.255
## 345 0.986 1.404 -0.562
## 346 1.103 1.057 -0.342
## 347 1.351 1.272 -0.400
## 348 1.482 1.178 -0.089
## 349 0.624 1.205 -0.645
## 350 0.311 1.798 -1.253
## 351 0.507 0.939 -0.070
## 352 0.048 13.816 -19.562
## 353 0.861 1.027 -0.117
## 354 0.479 1.440 -0.892
## 355 0.615 1.341 -0.698
## 356 0.213 1.614 -2.718
## 357 1.584 0.442 0.445
## 358 0.591 2.122 -1.815
## 359 0.864 0.362 0.280
## 360 0.916 1.310 -0.640
## 361 1.242 0.652 0.233
## 362 0.666 1.068 -0.303
## 363 0.460 2.015 -1.352
## 364 0.825 0.985 -0.208
## 365 0.554 1.634 -0.978
## 366 -0.020 -19.588 33.847
## 367 0.733 1.025 -0.660
## 368 0.605 1.162 -0.288
## 369 -0.187 -1.986 6.114
## 370 0.230 1.701 -1.430
## 371 1.314 0.975 0.033
## 372 1.778 1.075 -0.206
## 373 0.523 1.623 -0.993
## 374 0.924 0.776 0.012
## 375 0.905 2.042 -1.292
## 376 0.685 0.737 -0.116
## 377 0.133 5.350 -5.533
## 378 0.240 0.699 -1.339
## 379 0.778 0.801 -0.298
## 380 0.545 0.654 -0.008
## 381 0.565 2.058 -1.355
## 382 1.133 0.413 0.117
## 383 0.300 -0.024 -0.553
## 384 -0.255 -1.289 4.139
## 385 0.853 1.151 -0.498
## 386 -6.087 -0.193 1.239
## 387 0.884 1.239 -0.577
## 388 0.565 0.612 -0.745
## 389 0.666 1.579 -0.645
## 390 -0.968 -1.393 1.953
## 391 -0.164 -5.300 8.640
## 392 0.022 22.432 -14.944
## 393 1.219 1.270 -0.041
## 394 0.962 1.005 -0.204
## 395 1.137 1.311 -0.484
## 396 1.283 1.890 -0.634
## 397 1.099 1.099 -0.435
## 398 -0.176 -1.198 28.411
## 399 0.782 0.886 -0.792
## 400 0.890 0.919 -0.260
## 401 1.227 0.719 0.061
## 402 1.372 1.427 -0.388
## 403 1.019 1.376 -0.515
## 404 -3.430 -0.565 1.476
## 405 0.299 2.319 -3.553
## 406 0.402 2.612 -1.788
## 407 0.482 1.441 -0.741
## 408 0.518 1.627 -1.038
## 409 -0.028 -17.716 26.723
## 410 0.414 1.404 -0.582
## 411 0.218 2.518 -2.562
## 412 0.937 0.375 0.496
## 413 0.407 0.835 -0.429
## 414 1.085 1.373 -0.533
## 415 0.788 1.471 -0.717
## 416 0.232 2.487 -1.733
## 417 0.451 0.942 -0.354
## 418 0.735 1.411 -0.575
## 419 0.520 2.523 -1.597
## 420 0.889 1.461 -0.701
## 421 0.864 1.657 -0.800
## 422 0.501 1.102 -0.233
## 423 0.318 0.578 -1.026
## 424 1.093 1.032 -0.326
## 425 0.917 0.601 -0.398
## 426 1.163 1.539 -0.527
## 427 1.159 1.502 -0.707
## 428 0.099 0.950 -4.546
## 429 1.040 0.732 0.212
## 430 0.782 1.410 -0.617
## 431 1.300 1.028 -0.208
## 432 0.773 1.901 -1.103
## 433 0.465 0.140 -1.063
## 434 0.217 5.465 -5.147
## 435 0.615 2.087 -0.759
## 436 0.820 1.220 -0.428
## 437 0.799 1.324 -0.679
## 438 0.439 1.381 -0.542
## 439 0.630 1.153 -0.561
## 440 2.846 0.410 0.573
## 441 0.691 0.947 0.043
## 442 0.937 0.804 -0.065
## 443 1.012 1.033 -0.334
## 444 1.151 0.854 -0.530
## 445 -0.313 -1.561 2.820
## 446 -0.284 -2.553 4.298
## 447 0.776 0.342 0.510
## 448 0.098 7.032 -8.376
## 449 0.587 0.665 -0.124
## 450 0.685 1.011 -0.624
## 451 -0.481 -3.149 5.063
## 452 0.873 1.716 -0.819
## 453 1.532 1.153 -0.131
## 454 0.942 1.447 -0.685
## 455 1.577 1.409 -0.391
## 456 0.915 1.818 -0.999
## 457 0.840 0.288 -0.032
## 458 0.328 0.294 -1.476
## 459 0.738 0.913 -0.070
## 460 0.701 1.040 -0.230
## 461 1.131 1.422 -0.114
## 462 0.789 1.168 -0.439
## 463 0.745 1.370 -0.857
## 464 -0.394 16.944 9.421
## 465 0.792 1.811 -0.677
## 466 0.290 1.172 -0.807
## 467 0.266 2.075 -1.620
## 468 0.570 1.589 -0.789
## 469 -0.415 -0.825 2.249
## 470 0.857 1.877 -1.125
## 471 3.545 0.641 0.357
## 472 0.107 12.486 -8.966
## 473 2.206 0.144 0.084
## 474 1.041 1.883 -1.273
## 475 0.365 6.066 -4.494
## 476 1.852 1.142 -0.194
## 477 1.028 2.471 -1.202
## 478 1.140 1.639 -0.811
## 479 0.569 1.339 -0.370
## 480 0.607 0.956 -0.601
## 481 1.001 0.994 -0.017
## 482 0.706 1.481 -0.806
## 483 1.430 1.421 -0.500
## 484 1.201 1.362 -0.874
## 485 1.364 1.075 -0.151
## 486 0.832 1.785 -0.942
## 487 0.871 1.622 -0.848
## 488 1.271 1.509 -0.484
## 489 1.176 1.917 -1.047
## 490 0.460 1.722 -0.913
## 491 1.925 0.251 0.491
## 492 0.756 1.125 -0.345
## 493 0.753 1.633 -0.781
## 494 0.968 1.082 -0.385
## 495 2.237 0.916 0.134
## 496 0.672 2.724 -1.084
## 497 -0.611 -1.718 3.029
## 498 0.378 2.797 -1.568
## 499 0.383 1.927 -0.827
## 500 0.635 3.899 -2.990
## 501 1.521 1.607 -0.608
## 502 1.169 1.668 -0.803
## 503 0.911 0.759 -0.319
## 504 0.668 0.320 0.003
## 505 1.441 1.688 -1.110
## 506 0.663 1.608 -1.098
## 507 1.020 1.899 -0.987
## 508 1.110 1.145 -0.358
## 509 0.692 0.606 -0.040
## 510 0.716 0.330 -1.148
## 511 1.246 0.380 0.511
## 512 1.503 1.548 -0.604
## 513 1.005 2.586 -1.507
## 514 1.447 2.568 -0.210
## 515 1.809 1.141 -0.207
## 516 0.976 1.054 -0.029
## 517 1.311 0.918 -0.233
## 519 1.735 1.416 -0.467
## 520 1.109 2.144 -1.193
## 521 0.826 1.947 -0.953
## 522 1.473 1.551 -0.594
## 523 0.409 2.155 -1.101
## 524 1.606 1.070 -0.109
## 525 0.503 1.762 -0.928
## 526 1.086 1.976 -1.100
## 527 1.014 1.957 -1.036
## 528 0.955 2.102 -1.488
## 529 1.834 0.827 0.028
## 530 0.110 6.240 -7.156
## 531 0.713 1.018 -0.949
## 532 1.286 1.118 -0.350
## 534 2.344 1.823 -0.668
## 535 1.209 1.750 -0.892
## 536 2.261 1.121 -0.060
## 537 1.231 1.597 -0.578
## 538 0.811 0.507 0.156
## 539 0.668 0.677 0.153
## 540 0.246 2.446 -1.945
## 542 1.161 1.621 -0.575
## 543 0.765 1.513 -0.446
## 544 0.944 1.849 -0.981
## 545 1.944 1.003 0.030
## 546 0.876 1.185 -0.379
## 547 0.605 1.398 -0.672
## 548 0.637 1.461 -0.886
## 549 1.344 0.923 0.009
## 550 0.776 2.703 -0.794
## 551 1.344 1.099 -0.204
## 552 0.751 0.651 -1.667
## 553 1.291 1.142 -0.247
## 554 1.311 0.946 -0.180
## 555 1.187 0.888 0.030
## 556 0.729 2.068 -1.482
## 557 1.158 1.880 -0.966
## 558 0.372 5.667 -5.313
## 559 1.715 1.512 -0.539
## 560 1.560 1.019 -0.067
## 561 0.986 0.821 -0.064
## 562 1.137 1.295 -0.441
## 563 0.783 1.127 -0.421
## 564 1.531 1.329 -0.330
## 565 -0.395 -5.943 6.995
## 566 2.225 1.237 -0.197
## 567 1.621 1.557 -0.370
## 568 0.615 0.730 -0.019
## 569 0.997 1.302 -0.359
## 570 -6.689 -0.585 1.437
## 571 1.100 1.097 -0.254
## 572 1.738 1.929 -1.895
## 573 0.510 6.708 -3.690
## 574 2.004 1.200 -0.122
## 575 1.232 0.523 -0.020
## 576 0.865 1.640 -0.823
## 577 0.996 1.349 -0.322
## 578 -2.402 -0.835 2.303
## 579 0.857 2.349 -1.149
## 580 -0.506 -4.831 6.372
## 581 0.580 2.389 -0.941
## 582 2.024 0.853 -0.045
## 583 1.010 1.549 -0.721
## 584 -0.574 -2.095 2.842
## 585 -3.031 -1.018 1.484
## 586 0.692 1.173 -1.516
## 587 1.255 1.449 -0.545
## 588 1.240 0.851 -0.069
## 589 0.167 3.614 -3.431
## 590 0.725 0.001 -0.058
## 591 -1.155 -0.693 1.822
## 592 0.575 2.924 -2.051
## 593 0.700 3.146 -2.291
## 594 1.235 1.419 -0.477
## 595 1.903 0.557 0.137
## 596 1.444 0.835 0.048
## 597 0.842 0.586 0.024
## 598 0.132 7.226 -6.853
## 599 0.357 4.371 -3.299
## 600 1.071 1.269 -0.271
## 601 1.304 1.689 -0.646
## 602 36.114 0.015 0.966
## 603 0.318 1.947 -1.197
## 604 0.734 0.951 -0.226
## 605 2.279 1.177 -0.568
## 606 1.035 0.737 0.092
## 607 0.890 1.830 -0.796
## 608 1.943 1.127 -0.129
## 609 2.259 0.607 0.046
## 610 1.339 1.136 -0.229
## 611 1.037 0.734 0.195
## 612 0.769 2.190 -0.927
## 613 0.823 1.088 0.007
## 614 1.368 1.476 -0.462
## 615 1.530 1.415 -0.399
## 616 2.023 0.965 0.100
## 617 1.963 0.978 -0.048
## 618 0.942 0.483 0.329
## 619 0.902 1.045 -0.220
## 620 0.905 0.777 -0.711
## 621 1.790 1.092 -0.393
## 622 1.301 1.608 -0.706
## 623 1.028 1.150 -0.297
## 624 0.775 0.943 -0.114
## 625 0.719 1.110 -0.427
## 626 0.385 1.175 -0.481
## 627 0.942 1.991 -1.398
## 628 1.592 0.807 -0.038
## 629 -0.247 -2.372 4.219
## 630 0.408 1.062 -0.828
## 631 0.795 1.007 -0.172
## 632 0.990 1.344 -0.581
## 633 1.346 1.410 -0.455
## 634 0.953 0.819 0.020
## 635 0.717 1.518 -0.030
## 636 0.802 2.596 -1.780
## 637 0.694 1.258 -0.488
## 638 0.377 1.709 -0.706
## 639 0.761 1.671 -0.895
## 640 0.498 1.952 -1.278
## 641 0.607 1.247 -0.028
## 642 -0.099 -12.936 14.408
## 643 0.822 1.516 -0.689
## 644 0.851 1.271 -0.480
## 645 1.045 1.294 -0.688
## 646 0.316 3.507 -2.916
## 647 1.201 1.230 -0.266
## 648 1.134 1.529 -0.490
## 649 0.681 1.893 -0.994
## 650 1.472 1.546 -0.105
## 651 0.832 0.819 -0.086
## 652 0.500 1.520 -0.976
## 653 0.364 1.763 -1.109
## 654 0.528 2.046 -0.990
## 655 0.984 1.326 -0.432
## 656 1.020 1.479 -0.573
## 657 1.188 1.490 -0.606
## 658 1.146 1.044 -0.192
## 659 1.057 1.523 -0.594
## 660 0.297 2.924 -2.608
## 661 0.421 0.997 -0.177
## 662 0.808 2.604 -1.157
## 663 0.611 2.432 -1.748
## 664 3.390 0.078 0.757
## 665 0.801 0.449 0.222
## 666 -0.082 -3.519 6.654
## 667 -0.008 -39.183 57.368
## 668 -0.054 -20.175 18.140
## 669 1.383 1.340 -0.438
## 670 0.684 2.110 -1.228
## 671 1.267 1.211 -0.297
## 672 1.004 1.612 -0.733
## 673 0.056 10.701 -14.643
## 674 0.621 1.688 -1.081
## 675 0.792 1.311 -0.395
## 676 0.088 4.692 -4.385
## 677 0.550 2.523 -1.708
## 678 0.789 1.378 -0.608
## 679 1.002 0.888 -0.192
## 680 0.863 1.332 -0.584
## 681 0.658 0.920 -0.300
## PS1.Oxidized.Centers leaf_thickness Leaf.Temperature SPAD genotype
## 1 0.519 0.68 24.61 7.214 CB5-2
## 2 0.251 1.00 26.71 7.324 CB5-2
## 3 0.168 0.36 28.11 8.202 CB5-2
## 4 0.912 0.67 23.85 8.388 CB5-2
## 5 0.621 0.60 23.35 7.814 CB5-2
## 6 11.554 1.00 24.47 8.779 CB5-2
## 7 0.417 0.16 22.67 7.886 CB5-2
## 8 0.541 0.15 23.05 7.814 Sanzi
## 9 0.261 0.73 26.93 8.176 Sanzi
## 10 0.264 0.06 27.81 9.523 Sanzi
## 11 0.360 0.45 24.47 9.526 Sanzi
## 12 0.200 0.28 23.15 9.981 Sanzi
## 13 0.201 0.35 24.99 9.592 Sanzi
## 14 0.212 0.09 26.11 9.776 Sanzi
## 15 0.162 0.18 23.35 9.389 UCR779
## 16 0.010 0.55 26.25 8.220 UCR779
## 17 0.375 0.24 29.97 10.249 UCR779
## 18 0.774 0.24 23.85 10.389 UCR779
## 19 0.554 0.39 23.53 9.709 UCR779
## 20 0.281 0.20 25.47 9.643 UCR779
## 21 -7.078 0.95 23.99 9.479 UCR779
## 22 0.130 0.11 23.35 8.630 IT97K-499
## 23 0.068 0.29 26.25 9.421 IT97K-499
## 24 -0.555 0.91 27.99 9.765 IT97K-499
## 25 0.271 0.18 25.43 9.660 IT97K-499
## 26 0.710 0.12 23.11 10.055 IT97K-499
## 27 0.478 0.12 24.51 9.843 IT97K-499
## 28 0.480 0.16 23.95 10.017 IT97K-499
## 29 0.696 0.23 23.43 8.896 Suvita-2
## 30 -0.166 0.31 25.81 9.632 Suvita-2
## 31 -0.700 0.09 28.81 10.240 Suvita-2
## 32 0.001 0.11 24.23 10.733 Suvita-2
## 33 0.512 0.13 23.43 10.169 Suvita-2
## 34 0.233 0.14 24.81 10.312 Suvita-2
## 35 0.036 0.46 23.95 9.664 Suvita-2
## 36 -0.499 0.19 24.61 7.072 CB5-2
## 37 4.173 0.30 23.73 8.706 CB5-2
## 38 0.316 0.50 28.39 9.139 CB5-2
## 39 0.271 0.24 23.01 8.804 CB5-2
## 40 0.105 0.14 23.63 8.793 CB5-2
## 41 0.334 0.17 24.19 8.440 CB5-2
## 42 -8.305 0.56 22.47 8.587 CB5-2
## 43 0.150 0.12 23.95 8.319 Sanzi
## 44 0.278 0.88 23.59 9.438 Sanzi
## 45 -0.173 0.64 27.39 10.201 Sanzi
## 46 0.252 0.18 25.47 9.871 Sanzi
## 47 0.359 0.15 23.59 8.068 Sanzi
## 48 0.117 0.26 25.05 9.936 Sanzi
## 49 0.174 0.79 22.05 10.380 Sanzi
## 50 0.154 0.24 24.19 9.375 UCR779
## 51 0.508 0.53 24.13 9.489 UCR779
## 52 -0.259 1.34 26.47 9.939 UCR779
## 53 0.474 0.14 25.77 9.593 UCR779
## 54 0.408 0.26 24.09 9.795 UCR779
## 55 -0.009 0.24 25.05 9.599 UCR779
## 56 0.472 0.21 22.71 9.108 UCR779
## 57 0.722 0.25 24.27 9.727 IT97K-499
## 58 -0.028 0.29 24.51 11.003 IT97K-499
## 59 0.177 0.19 27.21 11.557 IT97K-499
## 60 -2.358 0.18 25.91 10.513 IT97K-499
## 61 0.296 0.16 23.89 10.485 IT97K-499
## 62 0.179 0.15 25.43 10.305 IT97K-499
## 63 2.492 0.22 24.27 9.908 IT97K-499
## 64 0.419 0.16 25.19 7.268 Suvita-2
## 65 -0.115 0.75 25.05 8.751 Suvita-2
## 66 -0.166 0.52 28.21 9.025 Suvita-2
## 67 0.240 0.24 23.67 10.317 Suvita-2
## 68 -0.007 0.25 23.89 10.035 Suvita-2
## 69 0.055 0.10 25.53 9.969 Suvita-2
## 70 0.167 0.18 24.09 9.495 Suvita-2
## 71 0.235 0.39 24.51 5.818 CB5-2
## 72 0.039 0.48 24.75 6.668 CB5-2
## 73 -0.733 0.73 27.85 6.581 CB5-2
## 74 12.179 0.39 24.51 6.537 CB5-2
## 75 0.666 0.33 24.85 6.459 CB5-2
## 76 0.340 0.20 25.29 6.199 CB5-2
## 77 0.243 0.32 22.39 6.490 CB5-2
## 78 -0.256 0.28 24.91 7.017 Sanzi
## 79 0.178 0.59 23.95 8.113 Sanzi
## 80 0.181 0.19 27.35 8.751 Sanzi
## 81 0.291 0.19 25.81 8.778 Sanzi
## 82 0.222 0.10 24.43 9.245 Sanzi
## 83 0.096 0.13 25.77 8.688 Sanzi
## 84 0.038 0.06 23.01 9.487 Sanzi
## 85 0.398 0.36 25.05 8.716 UCR779
## 86 0.203 1.15 23.77 9.475 UCR779
## 87 3.560 1.25 26.71 9.077 UCR779
## 88 -2.945 0.23 24.09 8.906 UCR779
## 89 0.129 0.24 24.19 8.890 UCR779
## 90 0.184 0.15 25.81 8.497 UCR779
## 91 2.470 0.27 25.33 8.157 UCR779
## 92 0.170 0.20 25.09 9.132 IT97K-499
## 93 0.561 0.35 23.29 9.179 IT97K-499
## 94 0.160 0.08 27.89 9.637 IT97K-499
## 95 0.089 0.12 26.01 9.875 IT97K-499
## 96 0.241 0.11 24.57 9.924 IT97K-499
## 97 0.116 0.10 25.81 9.783 IT97K-499
## 98 -0.128 0.93 22.67 9.938 IT97K-499
## 99 0.852 0.37 25.05 7.306 Suvita-2
## 100 0.339 0.91 26.25 7.886 Suvita-2
## 101 0.935 1.00 27.81 9.425 Suvita-2
## 102 -0.434 0.21 26.25 9.673 Suvita-2
## 103 0.258 0.19 23.77 9.612 Suvita-2
## 104 0.303 0.31 25.91 9.513 Suvita-2
## 105 0.486 0.66 23.15 9.320 Suvita-2
## 106 0.974 0.26 24.91 7.318 CB5-2
## 107 0.293 0.09 25.95 6.837 CB5-2
## 108 -3.250 0.14 28.53 6.190 CB5-2
## 109 0.192 0.15 26.47 7.251 CB5-2
## 110 1.621 0.32 24.95 6.096 CB5-2
## 111 0.149 0.16 26.01 6.844 CB5-2
## 112 0.267 0.16 22.71 7.121 CB5-2
## 113 2.270 0.20 25.57 7.154 Sanzi
## 114 0.120 0.82 25.53 8.692 Sanzi
## 115 0.274 0.31 27.53 9.699 Sanzi
## 116 0.130 0.10 26.57 9.158 Sanzi
## 117 0.409 0.20 24.67 9.641 Sanzi
## 118 0.193 0.16 26.11 9.551 Sanzi
## 119 -2.285 0.54 23.19 9.877 Sanzi
## 120 -0.095 0.24 24.75 8.942 UCR779
## 121 -0.048 1.46 24.09 9.779 UCR779
## 122 1.188 0.36 27.21 9.805 UCR779
## 123 -0.284 0.29 25.05 9.690 UCR779
## 124 -0.503 0.29 23.99 8.991 UCR779
## 125 1.045 0.41 24.81 8.783 UCR779
## 126 0.152 0.07 23.73 8.423 UCR779
## 127 0.229 0.19 25.53 9.232 IT97K-499
## 128 0.195 0.61 23.43 8.717 IT97K-499
## 129 0.065 0.82 27.99 9.857 IT97K-499
## 130 0.017 0.21 26.67 9.974 IT97K-499
## 131 0.230 0.28 24.95 9.909 IT97K-499
## 132 0.174 0.31 24.99 10.118 IT97K-499
## 133 0.475 0.18 23.49 9.806 IT97K-499
## 134 0.314 0.20 25.71 9.172 Suvita-2
## 135 0.116 0.50 23.95 8.983 Suvita-2
## 136 0.084 0.17 27.35 11.091 Suvita-2
## 137 0.027 0.30 26.71 10.938 Suvita-2
## 138 0.303 0.23 25.43 10.585 Suvita-2
## 139 0.038 0.33 25.95 10.629 Suvita-2
## 140 0.882 0.71 22.87 10.346 Suvita-2
## 141 1.210 0.49 25.05 7.722 CB5-2
## 142 -0.094 0.84 24.91 7.921 CB5-2
## 143 0.343 1.11 25.29 7.005 CB5-2
## 144 -0.507 0.25 24.85 8.333 CB5-2
## 145 0.318 0.19 24.43 7.388 CB5-2
## 146 2.358 0.12 24.43 6.994 CB5-2
## 147 -0.356 0.18 23.81 6.234 CB5-2
## 148 0.133 0.32 25.53 8.343 Sanzi
## 149 0.188 1.00 25.05 8.489 Sanzi
## 150 0.194 0.26 27.29 9.752 Sanzi
## 151 -0.137 0.56 26.85 10.096 Sanzi
## 152 0.231 0.58 25.29 10.265 Sanzi
## 153 0.059 0.19 26.01 10.032 Sanzi
## 154 0.060 0.20 25.53 10.136 Sanzi
## 155 0.186 0.31 25.77 8.960 UCR779
## 156 0.163 0.67 25.15 9.289 UCR779
## 157 0.169 0.25 26.47 9.341 UCR779
## 158 0.983 0.38 25.09 9.299 UCR779
## 159 0.422 0.23 24.43 9.468 UCR779
## 160 0.233 0.29 25.29 7.195 UCR779
## 161 -0.003 0.88 24.61 7.130 UCR779
## 162 0.580 0.28 26.11 8.921 IT97K-499
## 163 0.185 0.27 23.35 8.937 IT97K-499
## 164 -0.071 0.55 27.89 9.543 IT97K-499
## 165 0.146 0.17 26.85 9.499 IT97K-499
## 166 0.329 0.23 25.67 10.047 IT97K-499
## 167 -0.156 0.24 26.15 9.698 IT97K-499
## 168 0.393 0.22 25.81 9.809 IT97K-499
## 169 -1.182 0.46 26.01 7.012 Suvita-2
## 170 0.456 0.20 24.43 7.523 Suvita-2
## 171 0.621 0.32 27.07 8.353 Suvita-2
## 172 0.118 0.34 25.71 9.255 Suvita-2
## 173 0.229 0.20 25.43 9.518 Suvita-2
## 174 0.069 0.20 26.25 9.520 Suvita-2
## 175 0.204 0.29 25.29 9.414 Suvita-2
## 176 0.203 0.33 25.71 7.665 CB5-2
## 177 0.572 0.28 25.53 8.119 CB5-2
## 178 0.562 0.37 27.35 8.297 CB5-2
## 179 1.707 0.39 27.35 8.166 CB5-2
## 180 0.529 0.45 24.85 7.790 CB5-2
## 182 0.837 0.35 25.87 7.106 CB5-2
## 183 0.917 0.25 26.29 8.035 Sanzi
## 184 0.293 0.93 26.15 9.628 Sanzi
## 185 0.106 0.41 27.21 9.133 Sanzi
## 186 0.142 0.18 26.93 10.861 Sanzi
## 187 -0.145 0.22 26.01 11.694 Sanzi
## 188 0.259 0.23 26.19 11.203 Sanzi
## 189 0.146 0.45 26.89 10.172 Sanzi
## 190 0.144 0.37 26.43 8.866 UCR779
## 191 0.163 0.97 27.29 9.270 UCR779
## 192 0.756 0.35 28.17 9.022 UCR779
## 193 -0.044 0.30 27.17 9.720 UCR779
## 194 0.004 0.31 26.29 9.446 UCR779
## 195 0.208 0.25 26.35 9.410 UCR779
## 196 0.327 0.42 27.39 8.926 UCR779
## 197 0.074 0.19 26.57 9.445 IT97K-499
## 198 0.361 0.25 26.67 10.612 IT97K-499
## 199 -0.374 0.15 27.29 11.022 IT97K-499
## 200 0.120 0.30 27.29 10.968 IT97K-499
## 201 0.200 0.20 26.43 10.399 IT97K-499
## 202 0.003 0.17 26.47 10.528 IT97K-499
## 203 0.394 0.65 26.99 9.885 IT97K-499
## 204 1.122 0.36 26.67 7.118 Suvita-2
## 205 -0.160 1.27 27.25 9.693 Suvita-2
## 206 0.046 0.41 27.53 11.152 Suvita-2
## 207 0.092 0.29 26.19 10.875 Suvita-2
## 208 0.100 0.28 26.99 10.856 Suvita-2
## 209 0.035 0.20 26.53 10.426 Suvita-2
## 210 0.181 0.25 26.89 10.448 Suvita-2
## 211 0.498 0.21 26.75 7.260 CB5-2
## 212 0.907 0.77 25.91 7.113 CB5-2
## 213 0.612 0.27 27.67 7.053 CB5-2
## 214 0.184 0.26 23.99 7.805 CB5-2
## 215 0.779 0.15 24.51 7.147 CB5-2
## 216 0.083 0.10 23.85 6.659 CB5-2
## 217 0.482 0.10 24.51 6.352 CB5-2
## 218 0.403 0.19 27.43 8.067 Sanzi
## 219 0.489 0.87 25.91 8.028 Sanzi
## 220 0.326 0.15 27.21 9.686 Sanzi
## 221 0.307 0.53 27.29 9.691 Sanzi
## 222 0.082 0.14 26.79 9.572 Sanzi
## 223 0.182 0.10 26.29 9.397 Sanzi
## 224 0.678 0.10 26.93 7.731 Sanzi
## 225 0.102 0.29 27.35 8.700 UCR779
## 226 0.395 1.16 25.95 8.489 UCR779
## 227 0.602 0.21 28.53 8.500 UCR779
## 228 -0.520 0.19 27.49 7.966 UCR779
## 229 0.472 0.19 26.19 8.651 UCR779
## 230 0.202 0.19 26.39 8.490 UCR779
## 231 0.786 0.98 26.19 8.582 UCR779
## 232 0.367 0.20 27.57 4.057 IT97K-499
## 233 -5.772 0.78 27.03 8.117 IT97K-499
## 234 0.038 0.79 29.11 8.972 IT97K-499
## 235 0.076 0.23 27.57 9.125 IT97K-499
## 236 0.387 0.20 26.89 9.481 IT97K-499
## 237 0.273 0.24 26.39 9.472 IT97K-499
## 238 0.134 0.78 24.91 9.405 IT97K-499
## 239 0.863 0.29 27.25 6.724 Suvita-2
## 240 0.939 0.46 27.57 7.030 Suvita-2
## 241 0.231 0.43 28.85 7.568 Suvita-2
## 242 -0.018 0.28 27.53 8.736 Suvita-2
## 243 0.734 0.14 25.87 9.246 Suvita-2
## 244 0.085 0.26 26.25 9.214 Suvita-2
## 245 0.767 0.95 26.15 9.144 Suvita-2
## 246 1.540 0.30 25.57 6.893 CB5-2
## 247 0.082 0.41 25.67 7.517 CB5-2
## 248 0.741 0.14 28.49 7.363 CB5-2
## 249 -0.241 0.30 25.33 7.205 CB5-2
## 250 1.372 0.26 24.13 7.313 CB5-2
## 251 0.490 0.18 24.85 7.207 CB5-2
## 252 -12.330 0.29 26.79 7.323 CB5-2
## 253 1.965 0.15 27.57 7.003 Sanzi
## 254 0.094 0.75 25.29 7.714 Sanzi
## 255 1.286 0.16 28.11 8.921 Sanzi
## 256 0.233 0.56 28.11 9.196 Sanzi
## 257 0.218 0.16 26.93 9.458 Sanzi
## 258 0.218 0.17 26.53 9.548 Sanzi
## 259 0.355 0.18 27.53 9.707 Sanzi
## 260 0.056 0.27 27.67 8.014 UCR779
## 261 1.099 1.22 26.19 6.830 UCR779
## 262 0.401 1.29 28.81 8.620 UCR779
## 263 0.412 0.23 27.99 8.384 UCR779
## 264 0.214 0.25 27.03 8.822 UCR779
## 265 0.188 0.16 26.39 8.852 UCR779
## 266 0.675 0.26 27.53 8.690 UCR779
## 267 0.042 0.17 27.67 8.522 IT97K-499
## 268 -4.097 1.01 24.91 9.531 IT97K-499
## 269 0.807 0.69 29.23 9.759 IT97K-499
## 270 0.051 0.21 27.85 9.585 IT97K-499
## 271 0.112 0.44 26.85 9.939 IT97K-499
## 272 0.177 0.24 26.43 9.529 IT97K-499
## 273 -0.002 0.18 27.53 9.454 IT97K-499
## 274 -0.109 0.26 26.75 7.162 Suvita-2
## 275 -4.460 0.99 24.95 7.851 Suvita-2
## 276 0.316 0.99 29.01 8.707 Suvita-2
## 277 0.504 0.13 27.81 8.553 Suvita-2
## 278 0.124 0.19 25.57 8.988 Suvita-2
## 279 0.358 0.17 25.39 8.955 Suvita-2
## 280 0.086 0.26 26.75 9.183 Suvita-2
## 281 -9.267 0.43 27.49 6.841 CB5-2
## 282 2.382 1.03 25.91 7.488 CB5-2
## 283 1.155 0.22 26.75 7.709 CB5-2
## 284 0.249 0.17 27.17 7.352 CB5-2
## 285 -0.347 0.27 25.57 7.333 CB5-2
## 286 0.432 0.20 26.35 7.097 CB5-2
## 287 1.471 0.17 27.61 7.148 CB5-2
## 288 -2.427 0.25 27.61 7.344 Sanzi
## 289 0.576 0.81 25.77 9.100 Sanzi
## 290 0.292 0.22 28.07 8.566 Sanzi
## 291 0.116 0.26 27.85 8.659 Sanzi
## 292 0.442 0.14 26.85 8.932 Sanzi
## 293 0.179 0.18 26.35 8.413 Sanzi
## 294 -2.196 0.22 27.57 8.059 Sanzi
## 295 0.657 0.29 27.85 8.481 UCR779
## 296 -1.692 0.37 26.25 7.359 UCR779
## 297 3.378 1.21 27.49 9.090 UCR779
## 298 0.343 0.24 27.75 8.853 UCR779
## 299 0.622 0.51 26.85 9.702 UCR779
## 300 0.094 0.37 26.39 9.249 UCR779
## 301 0.359 0.35 26.29 8.979 UCR779
## 302 0.681 0.22 27.99 8.341 IT97K-499
## 303 0.162 0.71 24.51 9.204 IT97K-499
## 304 0.450 0.26 29.29 8.881 IT97K-499
## 305 0.083 0.21 27.75 8.990 IT97K-499
## 306 0.245 0.68 25.91 9.100 IT97K-499
## 307 0.985 0.22 26.11 8.906 IT97K-499
## 308 0.252 0.24 27.61 9.036 IT97K-499
## 309 -0.486 0.33 28.07 5.620 Suvita-2
## 310 -0.348 1.00 24.85 6.698 Suvita-2
## 311 0.417 0.46 27.49 7.837 Suvita-2
## 312 0.017 0.39 24.85 7.882 Suvita-2
## 313 -0.189 0.14 25.23 8.736 Suvita-2
## 314 0.046 0.23 26.01 8.793 Suvita-2
## 315 0.130 0.14 27.39 8.775 Suvita-2
## 316 0.977 0.28 26.93 7.155 CB5-2
## 317 0.486 0.84 24.95 8.301 CB5-2
## 318 0.475 0.44 29.79 8.114 CB5-2
## 319 0.556 0.26 25.19 7.281 CB5-2
## 320 0.127 0.25 24.99 7.008 CB5-2
## 321 0.243 0.19 24.27 6.762 CB5-2
## 322 0.168 0.25 25.19 6.610 CB5-2
## 323 0.231 0.21 27.17 8.060 Sanzi
## 324 0.995 0.82 24.33 8.377 Sanzi
## 325 0.571 0.16 28.89 9.111 Sanzi
## 326 0.251 0.11 27.53 8.768 Sanzi
## 327 0.531 0.16 26.61 9.232 Sanzi
## 328 0.072 0.17 26.25 9.349 Sanzi
## 329 -0.823 0.13 27.07 9.269 Sanzi
## 330 0.038 0.28 26.53 7.315 UCR779
## 331 -1.797 0.56 25.67 7.957 UCR779
## 332 2.191 0.76 28.53 7.683 UCR779
## 333 0.172 0.13 26.89 7.456 UCR779
## 334 1.122 0.22 26.39 7.141 UCR779
## 335 0.550 0.09 25.43 6.999 UCR779
## 336 0.050 0.20 27.29 6.948 UCR779
## 337 0.105 0.26 26.11 9.151 IT97K-499
## 338 1.591 0.90 23.99 9.025 IT97K-499
## 339 -0.223 1.04 27.61 9.140 IT97K-499
## 340 0.082 0.31 27.39 9.981 IT97K-499
## 341 0.035 0.28 26.15 9.896 IT97K-499
## 342 0.195 0.26 26.19 9.984 IT97K-499
## 343 0.072 0.24 27.57 10.125 IT97K-499
## 344 0.987 0.13 27.25 7.475 Suvita-2
## 345 0.159 1.08 28.03 8.881 Suvita-2
## 346 0.285 0.19 27.61 8.757 Suvita-2
## 347 0.127 0.22 26.35 9.161 Suvita-2
## 348 -0.090 0.27 26.43 9.080 Suvita-2
## 349 0.440 0.21 25.77 9.258 Suvita-2
## 350 0.455 0.59 26.61 6.511 CB5-2
## 351 0.131 0.47 23.11 8.442 CB5-2
## 352 6.746 0.16 26.89 6.987 CB5-2
## 353 0.090 0.34 27.25 6.991 CB5-2
## 354 0.452 0.49 26.43 6.802 CB5-2
## 355 0.357 0.36 24.61 6.743 CB5-2
## 356 2.103 0.41 25.91 7.018 CB5-2
## 357 0.113 0.21 27.21 6.717 Sanzi
## 358 0.694 0.54 27.67 7.003 Sanzi
## 359 0.359 0.15 27.61 6.006 Sanzi
## 360 0.329 0.13 27.29 8.710 UCR779
## 361 0.115 0.21 27.67 7.505 UCR779
## 362 0.235 0.18 27.43 8.271 IT97K-499
## 363 0.337 0.69 27.39 8.758 IT97K-499
## 364 0.223 0.21 27.75 8.402 IT97K-499
## 365 0.344 0.25 27.11 8.156 IT97K-499
## 366 -13.259 0.09 26.43 8.024 IT97K-499
## 367 0.634 0.16 27.11 7.851 IT97K-499
## 368 0.126 0.28 27.49 7.154 Suvita-2
## 369 -3.128 0.76 27.43 8.477 Suvita-2
## 370 0.728 0.11 27.61 8.978 Suvita-2
## 371 -0.007 0.30 27.21 9.657 Suvita-2
## 372 0.132 0.20 26.11 9.361 Suvita-2
## 373 0.370 0.32 25.63 9.498 Suvita-2
## 374 0.211 0.34 23.39 8.194 CB5-2
## 375 0.251 0.48 28.21 8.466 CB5-2
## 376 0.379 0.20 23.39 8.893 CB5-2
## 377 1.183 0.24 24.71 8.860 CB5-2
## 378 1.640 0.15 25.05 8.652 CB5-2
## 379 0.497 0.32 25.29 8.587 CB5-2
## 380 0.354 0.53 23.85 7.411 Sanzi
## 381 0.297 0.23 28.35 7.760 Sanzi
## 382 0.471 0.11 27.39 7.985 Sanzi
## 383 1.578 0.14 27.07 7.425 Sanzi
## 384 -1.850 0.23 26.67 7.758 Sanzi
## 385 0.346 0.21 26.85 7.613 Sanzi
## 386 -0.046 NA 25.23 9.802 UCR779
## 387 0.337 1.37 27.11 10.946 UCR779
## 388 1.133 0.66 23.19 9.496 UCR779
## 389 0.066 0.45 25.09 9.573 UCR779
## 390 0.439 0.68 24.81 9.346 UCR779
## 391 -2.339 1.02 24.95 9.425 UCR779
## 392 -6.487 1.05 23.19 7.734 IT97K-499
## 393 -0.229 0.13 28.39 9.195 IT97K-499
## 394 0.199 0.21 27.03 9.317 IT97K-499
## 395 0.173 0.12 27.11 9.482 IT97K-499
## 396 -0.257 0.21 26.61 9.414 IT97K-499
## 397 0.336 0.11 26.89 9.577 IT97K-499
## 398 -26.213 1.06 24.47 6.589 Suvita-2
## 399 0.906 0.35 29.33 9.182 Suvita-2
## 400 0.341 0.17 27.17 9.048 Suvita-2
## 401 0.220 0.16 27.25 9.191 Suvita-2
## 402 -0.039 0.10 26.79 9.365 Suvita-2
## 403 0.139 0.15 27.03 9.344 Suvita-2
## 404 0.089 1.22 25.71 6.953 CB5-2
## 405 2.234 0.21 27.99 6.625 CB5-2
## 406 0.177 0.56 24.43 7.349 CB5-2
## 407 0.300 0.28 27.07 6.931 CB5-2
## 408 0.411 0.13 26.93 6.565 CB5-2
## 409 -8.007 0.19 26.43 7.031 CB5-2
## 410 0.178 0.80 24.71 7.803 Sanzi
## 411 1.045 0.75 27.07 8.388 Sanzi
## 412 0.129 0.17 26.75 8.855 Sanzi
## 413 0.594 0.19 27.17 9.076 Sanzi
## 414 0.160 0.18 26.99 8.981 Sanzi
## 415 0.246 0.23 27.07 8.849 Sanzi
## 416 0.245 1.24 23.81 8.202 UCR779
## 417 0.411 1.10 26.93 9.051 UCR779
## 418 0.163 0.17 26.71 8.923 UCR779
## 419 0.073 0.43 26.61 9.019 UCR779
## 420 0.240 0.38 24.57 8.840 UCR779
## 421 0.143 0.31 25.43 8.605 UCR779
## 422 0.130 0.83 24.37 8.761 IT97K-499
## 423 1.448 0.65 27.11 7.503 IT97K-499
## 424 0.294 0.13 27.07 8.502 IT97K-499
## 425 0.797 0.17 27.21 9.031 IT97K-499
## 426 -0.012 0.15 26.85 9.025 IT97K-499
## 427 0.205 0.17 26.89 9.063 IT97K-499
## 428 4.596 0.98 23.53 6.789 Suvita-2
## 429 0.056 0.15 27.07 8.928 Suvita-2
## 430 0.207 0.20 27.21 9.171 Suvita-2
## 431 0.180 0.60 26.05 9.647 Suvita-2
## 432 0.202 0.33 26.93 9.295 Suvita-2
## 433 1.923 1.09 25.39 6.958 CB5-2
## 434 0.682 0.91 27.61 7.739 CB5-2
## 435 -0.328 0.25 24.19 7.650 CB5-2
## 436 0.208 0.32 26.71 7.588 CB5-2
## 437 0.355 0.35 24.09 7.592 CB5-2
## 438 0.161 0.14 26.29 7.469 CB5-2
## 439 0.408 0.89 25.53 8.294 Sanzi
## 440 0.017 0.10 28.31 9.513 Sanzi
## 441 0.010 0.16 26.79 9.358 Sanzi
## 442 0.262 0.18 27.07 9.559 Sanzi
## 443 0.300 0.21 26.29 9.475 Sanzi
## 444 0.676 0.13 26.85 9.553 Sanzi
## 445 -0.259 0.74 25.81 7.345 UCR779
## 446 -0.745 1.39 28.43 7.687 UCR779
## 447 0.148 0.19 26.79 7.463 UCR779
## 448 2.344 0.15 26.79 7.640 UCR779
## 449 0.459 0.19 26.53 7.439 UCR779
## 450 0.613 0.09 26.85 7.456 UCR779
## 451 -0.914 1.00 25.81 9.330 IT97K-499
## 452 0.103 0.10 27.99 9.226 IT97K-499
## 453 -0.023 0.23 26.79 8.880 IT97K-499
## 454 0.238 0.22 26.89 8.701 IT97K-499
## 455 -0.017 0.23 26.39 8.632 IT97K-499
## 456 0.181 0.21 26.47 8.516 IT97K-499
## 457 0.745 0.80 25.47 5.934 Suvita-2
## 458 2.182 0.23 27.71 7.261 Suvita-2
## 459 0.157 0.20 25.47 8.388 Suvita-2
## 460 0.190 0.16 25.95 8.156 Suvita-2
## 461 -0.308 0.12 25.71 8.232 Suvita-2
## 462 0.271 0.17 25.71 8.445 Suvita-2
## 463 0.487 0.98 25.05 8.337 CB5-2
## 464 -25.365 0.26 26.75 8.455 CB5-2
## 465 -0.134 0.42 26.05 8.259 CB5-2
## 466 0.636 0.14 26.67 7.441 CB5-2
## 467 0.544 0.18 24.61 7.431 CB5-2
## 468 0.200 0.20 23.81 7.320 CB5-2
## 469 -0.424 0.20 23.11 7.220 CB5-2
## 470 0.249 0.72 25.05 9.807 Sanzi
## 471 0.003 0.56 26.89 11.174 Sanzi
## 472 -2.520 0.23 26.61 10.707 Sanzi
## 473 0.771 0.31 26.79 7.093 Sanzi
## 474 0.390 0.21 26.19 10.193 Sanzi
## 475 -0.572 0.60 25.47 10.389 Sanzi
## 476 0.052 1.36 24.43 10.038 UCR779
## 477 -0.269 0.59 28.53 10.155 UCR779
## 478 0.172 0.21 26.67 9.224 UCR779
## 479 0.030 0.24 26.89 8.218 UCR779
## 480 0.645 0.26 26.01 7.988 UCR779
## 481 0.023 0.65 25.67 8.110 UCR779
## 482 0.325 0.94 24.37 10.738 IT97K-499
## 483 0.079 0.11 29.07 10.116 IT97K-499
## 484 0.513 0.19 26.71 8.926 IT97K-499
## 485 0.077 0.45 26.93 8.577 IT97K-499
## 486 0.156 0.20 26.29 8.549 IT97K-499
## 487 0.226 0.05 25.95 5.865 IT97K-499
## 488 -0.025 0.98 24.47 10.645 Suvita-2
## 489 0.130 0.31 28.43 9.932 Suvita-2
## 490 0.191 0.12 26.79 9.644 Suvita-2
## 491 0.258 0.20 26.93 8.970 Suvita-2
## 492 0.220 0.13 26.11 8.876 Suvita-2
## 493 0.148 0.19 25.95 8.756 Suvita-2
## 494 0.303 0.29 23.95 9.599 CB5-2
## 495 -0.050 1.18 28.39 9.330 CB5-2
## 496 -0.640 0.16 26.43 8.493 CB5-2
## 497 -0.310 0.28 26.71 7.565 CB5-2
## 498 -0.228 0.19 25.09 6.691 CB5-2
## 499 -0.099 0.17 25.77 6.558 CB5-2
## 500 0.091 0.86 26.11 11.064 Sanzi
## 501 0.001 0.26 27.93 9.648 Sanzi
## 502 0.135 0.14 26.71 8.457 Sanzi
## 503 0.560 0.18 26.67 6.764 Sanzi
## 504 0.677 0.06 26.35 5.663 Sanzi
## 505 0.422 1.07 23.77 10.704 UCR779
## 506 0.490 0.62 29.01 10.413 UCR779
## 507 0.088 0.39 27.21 10.181 UCR779
## 508 0.213 0.15 26.79 9.003 UCR779
## 509 0.434 0.27 25.91 7.641 UCR779
## 510 1.818 0.19 26.35 7.283 UCR779
## 511 0.109 0.27 26.05 7.326 UCR779
## 512 0.056 0.70 23.67 10.816 IT97K-499
## 513 -0.079 0.74 27.29 11.028 IT97K-499
## 514 -1.358 0.57 27.89 10.933 IT97K-499
## 515 0.066 0.29 26.71 9.724 IT97K-499
## 516 -0.025 0.21 26.57 8.101 IT97K-499
## 517 0.315 0.19 26.39 8.436 IT97K-499
## 519 0.051 0.64 24.43 11.433 Suvita-2
## 520 0.049 0.69 26.61 11.056 Suvita-2
## 521 0.007 0.41 26.75 12.365 Suvita-2
## 522 0.043 0.25 26.75 9.995 Suvita-2
## 523 -0.054 0.19 26.43 8.274 Suvita-2
## 524 0.039 0.18 26.29 9.682 Suvita-2
## 525 0.167 0.11 23.95 9.476 Suvita-2
## 526 0.124 1.13 25.33 10.600 CB5-2
## 527 0.079 0.48 25.67 11.147 CB5-2
## 528 0.385 NA 28.39 9.467 CB5-2
## 529 0.144 0.26 25.39 9.373 CB5-2
## 530 1.916 0.88 23.85 7.684 CB5-2
## 531 0.931 0.42 25.67 7.614 CB5-2
## 532 0.232 0.46 23.01 7.759 CB5-2
## 534 -0.155 1.07 23.19 11.418 UCR779
## 535 0.143 0.78 24.71 11.154 UCR779
## 536 -0.061 1.07 27.39 11.205 UCR779
## 537 -0.019 0.24 26.43 9.813 UCR779
## 538 0.337 0.48 26.05 7.725 UCR779
## 539 0.170 0.16 26.19 7.377 UCR779
## 540 0.500 0.66 25.33 7.555 UCR779
## 542 -0.046 0.65 23.77 11.018 Suvita-2
## 543 -0.067 0.71 25.09 10.405 Suvita-2
## 544 0.132 0.16 28.97 9.827 Suvita-2
## 545 -0.033 0.15 25.87 8.828 Suvita-2
## 546 0.194 0.07 26.19 7.200 Suvita-2
## 547 0.274 0.15 26.39 7.288 Suvita-2
## 548 0.425 0.24 25.87 7.406 Suvita-2
## 549 0.068 1.07 25.63 8.210 CB5-2
## 550 -0.909 0.39 25.43 9.475 CB5-2
## 551 0.106 0.17 27.89 9.531 CB5-2
## 552 2.015 0.24 24.91 8.896 CB5-2
## 553 0.105 0.20 26.05 8.377 CB5-2
## 554 0.233 0.24 24.91 8.048 CB5-2
## 555 0.082 0.16 22.57 7.840 CB5-2
## 556 0.415 0.36 23.59 9.188 Sanzi
## 557 0.085 0.58 25.15 10.862 Sanzi
## 558 0.645 0.70 27.89 9.217 Sanzi
## 559 0.027 0.17 26.35 10.302 Sanzi
## 560 0.047 0.21 26.39 10.022 Sanzi
## 561 0.243 0.23 23.53 10.528 Sanzi
## 562 0.147 0.23 25.09 9.869 Sanzi
## 563 0.294 1.26 22.67 10.707 UCR779
## 564 0.001 0.54 26.05 11.027 UCR779
## 565 -0.053 0.72 27.81 10.949 UCR779
## 566 -0.040 0.36 26.29 10.585 UCR779
## 567 -0.187 0.25 26.61 9.592 UCR779
## 568 0.289 0.19 25.95 9.366 UCR779
## 569 0.058 0.91 23.95 9.174 UCR779
## 570 0.148 1.21 22.81 10.525 IT97K-499
## 571 0.157 0.57 25.47 10.929 IT97K-499
## 572 0.966 0.79 27.85 11.253 IT97K-499
## 573 -2.018 0.25 26.43 10.472 IT97K-499
## 574 -0.079 0.27 26.53 10.109 IT97K-499
## 575 0.497 0.31 26.15 9.999 IT97K-499
## 576 0.182 0.37 25.23 9.615 IT97K-499
## 577 -0.027 0.91 22.77 10.384 Suvita-2
## 578 -0.468 0.84 24.27 10.739 Suvita-2
## 579 -0.200 0.69 27.49 10.864 Suvita-2
## 580 -0.541 0.57 25.05 11.153 Suvita-2
## 581 -0.448 0.30 25.05 9.832 Suvita-2
## 582 0.192 0.57 23.95 10.392 Suvita-2
## 583 0.173 0.86 22.81 9.383 Suvita-2
## 584 0.253 0.33 23.99 8.338 CB5-2
## 585 0.534 0.88 25.71 8.615 CB5-2
## 586 1.343 0.38 26.05 9.208 CB5-2
## 587 0.096 0.27 24.03 9.015 CB5-2
## 588 0.218 0.32 23.81 8.174 CB5-2
## 589 0.817 0.20 22.43 7.168 CB5-2
## 590 1.057 0.40 23.49 6.778 CB5-2
## 591 -0.128 0.70 24.27 9.542 Sanzi
## 592 0.126 0.65 25.43 9.585 Sanzi
## 593 0.145 0.18 27.11 9.338 Sanzi
## 594 0.058 0.20 26.25 9.874 Sanzi
## 595 0.307 0.38 26.05 11.353 Sanzi
## 596 0.117 0.22 25.95 10.416 Sanzi
## 597 0.390 0.62 24.61 10.669 Sanzi
## 598 0.626 1.16 22.95 9.711 UCR779
## 599 -0.072 1.03 24.85 10.448 UCR779
## 600 0.003 1.52 28.43 10.388 UCR779
## 601 -0.043 0.32 26.15 9.887 UCR779
## 602 0.019 0.38 23.73 9.202 UCR779
## 603 0.249 0.28 26.11 8.687 UCR779
## 604 0.276 0.67 23.59 8.538 UCR779
## 605 0.391 0.83 23.53 10.595 IT97K-499
## 606 0.172 1.05 25.23 11.497 IT97K-499
## 607 -0.034 0.78 28.11 10.806 IT97K-499
## 608 0.002 0.20 26.43 10.484 IT97K-499
## 609 0.347 0.66 23.59 10.136 IT97K-499
## 610 0.093 0.27 26.11 9.979 IT97K-499
## 611 0.070 0.20 25.39 9.550 IT97K-499
## 612 -0.263 0.94 24.37 9.246 Suvita-2
## 613 -0.096 0.96 25.39 11.706 Suvita-2
## 614 -0.015 0.96 29.15 11.589 Suvita-2
## 615 -0.016 0.28 25.67 11.298 Suvita-2
## 616 -0.064 0.24 23.99 10.690 Suvita-2
## 617 0.070 0.30 26.05 10.658 Suvita-2
## 618 0.187 0.14 23.49 9.897 Suvita-2
## 619 0.175 0.56 25.29 8.391 CB5-2
## 620 0.934 0.30 26.93 8.269 CB5-2
## 621 0.300 1.44 28.89 8.160 CB5-2
## 622 0.098 0.24 24.85 8.016 CB5-2
## 623 0.148 0.11 25.71 6.836 CB5-2
## 624 0.172 0.18 26.11 5.992 CB5-2
## 625 0.317 0.19 23.99 6.270 CB5-2
## 626 0.305 0.41 22.09 8.498 Sanzi
## 627 0.408 0.23 25.95 6.673 Sanzi
## 628 0.231 0.13 27.03 5.884 Sanzi
## 629 -0.847 0.21 26.19 5.470 Sanzi
## 630 0.766 0.22 25.67 5.431 Sanzi
## 631 0.165 0.74 22.91 8.500 UCR779
## 632 0.237 0.62 26.61 8.757 UCR779
## 633 0.045 0.89 23.73 9.653 IT97K-499
## 634 0.161 0.55 25.53 10.269 IT97K-499
## 635 -0.489 0.18 28.07 9.886 IT97K-499
## 636 0.184 0.20 26.39 9.642 IT97K-499
## 637 0.230 0.15 26.79 9.049 IT97K-499
## 638 -0.003 0.11 26.35 8.977 IT97K-499
## 639 0.224 0.09 25.87 9.155 IT97K-499
## 640 0.325 1.41 25.71 7.773 Suvita-2
## 641 -0.219 0.60 26.47 8.445 Suvita-2
## 642 -0.472 0.48 28.71 7.919 Suvita-2
## 643 0.173 0.20 26.29 8.739 Suvita-2
## 644 0.209 0.17 26.29 8.443 Suvita-2
## 645 0.394 0.19 26.01 8.808 Suvita-2
## 646 0.409 0.22 25.47 8.679 Suvita-2
## 647 0.036 0.43 25.63 8.519 CB5-2
## 648 -0.039 0.76 27.03 8.669 CB5-2
## 649 0.101 0.20 26.53 8.689 CB5-2
## 650 -0.441 0.49 24.95 8.132 CB5-2
## 651 0.267 0.19 26.71 6.848 CB5-2
## 652 0.455 0.37 24.95 6.512 CB5-2
## 653 0.346 0.24 23.95 6.473 CB5-2
## 654 -0.057 0.48 23.43 8.300 Sanzi
## 655 0.106 0.36 26.29 10.438 Sanzi
## 656 0.094 0.34 27.35 10.384 Sanzi
## 657 0.115 0.27 26.11 9.670 Sanzi
## 658 0.148 0.14 26.93 8.976 Sanzi
## 659 0.071 0.09 26.11 8.729 Sanzi
## 660 0.684 0.19 25.87 8.668 Sanzi
## 661 0.180 0.96 23.19 8.604 UCR779
## 662 -0.446 0.87 24.99 8.604 UCR779
## 663 0.316 1.11 28.49 8.762 UCR779
## 664 0.165 0.22 26.25 8.112 UCR779
## 665 0.329 0.19 26.85 7.329 UCR779
## 666 -2.135 0.12 26.25 6.906 UCR779
## 667 -17.184 0.23 22.77 6.933 UCR779
## 668 3.035 0.51 23.81 9.632 IT97K-499
## 669 0.098 0.89 24.03 9.728 IT97K-499
## 670 0.118 0.21 28.97 9.785 IT97K-499
## 671 0.086 0.13 26.67 9.812 IT97K-499
## 672 0.121 0.18 27.07 9.104 IT97K-499
## 673 4.942 0.20 26.29 9.080 IT97K-499
## 674 0.393 0.15 25.67 8.950 IT97K-499
## 675 0.084 1.05 24.51 9.321 Suvita-2
## 676 0.693 0.29 24.43 9.007 Suvita-2
## 677 0.185 0.40 28.81 8.935 Suvita-2
## 678 0.230 0.16 26.89 8.682 Suvita-2
## 679 0.304 0.13 27.21 8.645 Suvita-2
## 680 0.251 0.12 26.29 8.419 Suvita-2
## 681 0.380 0.18 24.03 8.574 Suvita-2
## Pot_Day
## 1 1_26
## 2 1_23
## 3 1_21
## 4 1_19
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## 681 105_12Photosyn_geno2$Day <- factor(Photosyn_geno2$Day, levels = c("-2", "0", "2", "5", "8", "10", "13"))
Photosyn_geno2_dneg2 <- subset(Photosyn_geno2, Photosyn_geno2$Day == -2)
Photosyn_geno2_d0 <- subset(Photosyn_geno2, Photosyn_geno2$Day == 0)
Photosyn_geno2_d2 <- subset(Photosyn_geno2, Photosyn_geno2$Day == 2)
Photosyn_geno2_d5 <- subset(Photosyn_geno2, Photosyn_geno2$Day == 5)
Photosyn_geno2_d8 <- subset(Photosyn_geno2, Photosyn_geno2$Day == 8)
Photosyn_geno2_d10 <- subset(Photosyn_geno2, Photosyn_geno2$Day == 10)
Photosyn_geno2_d13 <- subset(Photosyn_geno2, Photosyn_geno2$Day == 13)#FoPrime
FoPrime_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_dneg2_mean_by_IT97K <- FoPrime_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_dneg2_mean_by_IT97K <- FoPrime_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_dneg2_mean_by_IT97K
FoPrime_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_d0_mean_by_IT97K <- FoPrime_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_d0_mean_by_IT97K <- FoPrime_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_d0_mean_by_IT97K
FoPrime_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_d2_mean_by_IT97K <- FoPrime_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_d2_mean_by_IT97K <- FoPrime_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_d2_mean_by_IT97K
FoPrime_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_d5_mean_by_IT97K <- FoPrime_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_d5_mean_by_IT97K <- FoPrime_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_d5_mean_by_IT97K
FoPrime_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_d8_mean_by_IT97K <- FoPrime_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_d8_mean_by_IT97K <- FoPrime_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_d8_mean_by_IT97K
FoPrime_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_d10_mean_by_IT97K <- FoPrime_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_d10_mean_by_IT97K <- FoPrime_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_d10_mean_by_IT97K
FoPrime_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "FoPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FoPrime")
FoPrime_d13_mean_by_IT97K <- FoPrime_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FoPrime_d13_mean_by_IT97K <- FoPrime_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FoPrime_d13_mean_by_IT97K
#PhiNPQ
PhiNPQ_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_dneg2_mean_by_IT97K <- PhiNPQ_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_dneg2_mean_by_IT97K <- PhiNPQ_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_dneg2_mean_by_IT97K
PhiNPQ_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_d0_mean_by_IT97K <- PhiNPQ_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_d0_mean_by_IT97K <- PhiNPQ_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_d0_mean_by_IT97K
PhiNPQ_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_d2_mean_by_IT97K <- PhiNPQ_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_d2_mean_by_IT97K <- PhiNPQ_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_d2_mean_by_IT97K
PhiNPQ_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_d5_mean_by_IT97K <- PhiNPQ_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_d5_mean_by_IT97K <- PhiNPQ_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_d5_mean_by_IT97K
PhiNPQ_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_d8_mean_by_IT97K <- PhiNPQ_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_d8_mean_by_IT97K <- PhiNPQ_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_d8_mean_by_IT97K
PhiNPQ_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_d10_mean_by_IT97K <- PhiNPQ_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_d10_mean_by_IT97K <- PhiNPQ_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_d10_mean_by_IT97K
PhiNPQ_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "PhiNPQ", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PhiNPQ")
PhiNPQ_d13_mean_by_IT97K <- PhiNPQ_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PhiNPQ_d13_mean_by_IT97K <- PhiNPQ_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PhiNPQ_d13_mean_by_IT97K
#FmPrime
FmPrime_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_dneg2_mean_by_IT97K <- FmPrime_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_dneg2_mean_by_IT97K <- FmPrime_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_dneg2_mean_by_IT97K
FmPrime_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_d0_mean_by_IT97K <- FmPrime_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_d0_mean_by_IT97K <- FmPrime_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_d0_mean_by_IT97K
FmPrime_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_d2_mean_by_IT97K <- FmPrime_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_d2_mean_by_IT97K <- FmPrime_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_d2_mean_by_IT97K
FmPrime_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_d5_mean_by_IT97K <- FmPrime_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_d5_mean_by_IT97K <- FmPrime_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_d5_mean_by_IT97K
FmPrime_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_d8_mean_by_IT97K <- FmPrime_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_d8_mean_by_IT97K <- FmPrime_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_d8_mean_by_IT97K
FmPrime_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_d10_mean_by_IT97K <- FmPrime_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_d10_mean_by_IT97K <- FmPrime_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_d10_mean_by_IT97K
FmPrime_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "FmPrime", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FmPrime")
FmPrime_d13_mean_by_IT97K <- FmPrime_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FmPrime_d13_mean_by_IT97K <- FmPrime_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FmPrime_d13_mean_by_IT97K
#FvP_over_FmP
FvP_over_FmP_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_dneg2_mean_by_IT97K <- FvP_over_FmP_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_dneg2_mean_by_IT97K <- FvP_over_FmP_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_dneg2_mean_by_IT97K
FvP_over_FmP_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_d0_mean_by_IT97K <- FvP_over_FmP_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_d0_mean_by_IT97K <- FvP_over_FmP_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_d0_mean_by_IT97K
FvP_over_FmP_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_d2_mean_by_IT97K <- FvP_over_FmP_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_d2_mean_by_IT97K <- FvP_over_FmP_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_d2_mean_by_IT97K
FvP_over_FmP_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_d5_mean_by_IT97K <- FvP_over_FmP_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_d5_mean_by_IT97K <- FvP_over_FmP_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_d5_mean_by_IT97K
FvP_over_FmP_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_d8_mean_by_IT97K <- FvP_over_FmP_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_d8_mean_by_IT97K <- FvP_over_FmP_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_d8_mean_by_IT97K
FvP_over_FmP_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_d10_mean_by_IT97K <- FvP_over_FmP_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_d10_mean_by_IT97K <- FvP_over_FmP_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_d10_mean_by_IT97K
FvP_over_FmP_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "FvP_over_FmP", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "FvP_over_FmP")
FvP_over_FmP_d13_mean_by_IT97K <- FvP_over_FmP_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
FvP_over_FmP_d13_mean_by_IT97K <- FvP_over_FmP_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
FvP_over_FmP_d13_mean_by_IT97K
#PS1.Active.Centers
PS1.Active.Centers_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_dneg2_mean_by_IT97K <- PS1.Active.Centers_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_dneg2_mean_by_IT97K <- PS1.Active.Centers_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_dneg2_mean_by_IT97K## Warning: Removed 1 rows containing non-finite values (stat_summary).## Warning: Removed 1 rows containing non-finite values (stat_compare_means).## Warning: Removed 1 rows containing missing values (geom_point).
PS1.Active.Centers_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_d0_mean_by_IT97K <- PS1.Active.Centers_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_d0_mean_by_IT97K <- PS1.Active.Centers_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_d0_mean_by_IT97K
PS1.Active.Centers_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_d2_mean_by_IT97K <- PS1.Active.Centers_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_d2_mean_by_IT97K <- PS1.Active.Centers_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_d2_mean_by_IT97K
PS1.Active.Centers_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_d5_mean_by_IT97K <- PS1.Active.Centers_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_d5_mean_by_IT97K <- PS1.Active.Centers_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_d5_mean_by_IT97K
PS1.Active.Centers_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_d8_mean_by_IT97K <- PS1.Active.Centers_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_d8_mean_by_IT97K <- PS1.Active.Centers_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_d8_mean_by_IT97K
PS1.Active.Centers_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_d10_mean_by_IT97K <- PS1.Active.Centers_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_d10_mean_by_IT97K <- PS1.Active.Centers_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_d10_mean_by_IT97K
PS1.Active.Centers_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "PS1.Active.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Active.Centers")
PS1.Active.Centers_d13_mean_by_IT97K <- PS1.Active.Centers_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Active.Centers_d13_mean_by_IT97K <- PS1.Active.Centers_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Active.Centers_d13_mean_by_IT97K
#PS1.Open.Centers
PS1.Open.Centers_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_dneg2_mean_by_IT97K <- PS1.Open.Centers_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_dneg2_mean_by_IT97K <- PS1.Open.Centers_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_dneg2_mean_by_IT97K
PS1.Open.Centers_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_d0_mean_by_IT97K <- PS1.Open.Centers_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_d0_mean_by_IT97K <- PS1.Open.Centers_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_d0_mean_by_IT97K
PS1.Open.Centers_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_d2_mean_by_IT97K <- PS1.Open.Centers_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_d2_mean_by_IT97K <- PS1.Open.Centers_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_d2_mean_by_IT97K
PS1.Open.Centers_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_d5_mean_by_IT97K <- PS1.Open.Centers_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_d5_mean_by_IT97K <- PS1.Open.Centers_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_d5_mean_by_IT97K
PS1.Open.Centers_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_d8_mean_by_IT97K <- PS1.Open.Centers_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_d8_mean_by_IT97K <- PS1.Open.Centers_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_d8_mean_by_IT97K
PS1.Open.Centers_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_d10_mean_by_IT97K <- PS1.Open.Centers_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_d10_mean_by_IT97K <- PS1.Open.Centers_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_d10_mean_by_IT97K
PS1.Open.Centers_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "PS1.Open.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Open.Centers")
PS1.Open.Centers_d13_mean_by_IT97K <- PS1.Open.Centers_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Open.Centers_d13_mean_by_IT97K <- PS1.Open.Centers_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Open.Centers_d13_mean_by_IT97K
#PS1.Over.Reduced.Centers
PS1.Over.Reduced.Centers_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_dneg2_mean_by_IT97K <- PS1.Over.Reduced.Centers_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_dneg2_mean_by_IT97K <- PS1.Over.Reduced.Centers_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_dneg2_mean_by_IT97K
PS1.Over.Reduced.Centers_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_d0_mean_by_IT97K <- PS1.Over.Reduced.Centers_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_d0_mean_by_IT97K <- PS1.Over.Reduced.Centers_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_d0_mean_by_IT97K
PS1.Over.Reduced.Centers_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_d2_mean_by_IT97K <- PS1.Over.Reduced.Centers_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_d2_mean_by_IT97K <- PS1.Over.Reduced.Centers_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_d2_mean_by_IT97K
PS1.Over.Reduced.Centers_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_d5_mean_by_IT97K <- PS1.Over.Reduced.Centers_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_d5_mean_by_IT97K <- PS1.Over.Reduced.Centers_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_d5_mean_by_IT97K
PS1.Over.Reduced.Centers_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_d8_mean_by_IT97K <- PS1.Over.Reduced.Centers_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_d8_mean_by_IT97K <- PS1.Over.Reduced.Centers_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_d8_mean_by_IT97K
PS1.Over.Reduced.Centers_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_d10_mean_by_IT97K <- PS1.Over.Reduced.Centers_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_d10_mean_by_IT97K <- PS1.Over.Reduced.Centers_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_d10_mean_by_IT97K
PS1.Over.Reduced.Centers_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "PS1.Over.Reduced.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Over.Reduced.Centers")
PS1.Over.Reduced.Centers_d13_mean_by_IT97K <- PS1.Over.Reduced.Centers_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Over.Reduced.Centers_d13_mean_by_IT97K <- PS1.Over.Reduced.Centers_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Over.Reduced.Centers_d13_mean_by_IT97K
#PS1.Oxidized.Centers
PS1.Oxidized.Centers_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_dneg2_mean_by_IT97K <- PS1.Oxidized.Centers_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_dneg2_mean_by_IT97K <- PS1.Oxidized.Centers_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_dneg2_mean_by_IT97K
PS1.Oxidized.Centers_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_d0_mean_by_IT97K <- PS1.Oxidized.Centers_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_d0_mean_by_IT97K <- PS1.Oxidized.Centers_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_d0_mean_by_IT97K
PS1.Oxidized.Centers_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_d2_mean_by_IT97K <- PS1.Oxidized.Centers_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_d2_mean_by_IT97K <- PS1.Oxidized.Centers_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_d2_mean_by_IT97K
PS1.Oxidized.Centers_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_d5_mean_by_IT97K <- PS1.Oxidized.Centers_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_d5_mean_by_IT97K <- PS1.Oxidized.Centers_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_d5_mean_by_IT97K
PS1.Oxidized.Centers_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_d8_mean_by_IT97K <- PS1.Oxidized.Centers_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_d8_mean_by_IT97K <- PS1.Oxidized.Centers_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_d8_mean_by_IT97K
PS1.Oxidized.Centers_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_d10_mean_by_IT97K <- PS1.Oxidized.Centers_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_d10_mean_by_IT97K <- PS1.Oxidized.Centers_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_d10_mean_by_IT97K
PS1.Oxidized.Centers_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "PS1.Oxidized.Centers", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "PS1.Oxidized.Centers")
PS1.Oxidized.Centers_d13_mean_by_IT97K <- PS1.Oxidized.Centers_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
PS1.Oxidized.Centers_d13_mean_by_IT97K <- PS1.Oxidized.Centers_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
PS1.Oxidized.Centers_d13_mean_by_IT97K
#leaf_thickness
leaf_thickness_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_dneg2_mean_by_IT97K <- leaf_thickness_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_dneg2_mean_by_IT97K <- leaf_thickness_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_dneg2_mean_by_IT97K
leaf_thickness_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_d0_mean_by_IT97K <- leaf_thickness_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_d0_mean_by_IT97K <- leaf_thickness_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_d0_mean_by_IT97K
leaf_thickness_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_d2_mean_by_IT97K <- leaf_thickness_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_d2_mean_by_IT97K <- leaf_thickness_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_d2_mean_by_IT97K
leaf_thickness_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_d5_mean_by_IT97K <- leaf_thickness_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_d5_mean_by_IT97K <- leaf_thickness_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_d5_mean_by_IT97K
leaf_thickness_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_d8_mean_by_IT97K <- leaf_thickness_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_d8_mean_by_IT97K <- leaf_thickness_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_d8_mean_by_IT97K## Warning: Removed 1 rows containing non-finite values (stat_summary).## Warning: Removed 1 rows containing non-finite values (stat_compare_means).## Warning: Removed 1 rows containing missing values (geom_point).
leaf_thickness_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_d10_mean_by_IT97K <- leaf_thickness_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_d10_mean_by_IT97K <- leaf_thickness_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_d10_mean_by_IT97K
leaf_thickness_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "leaf_thickness", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "leaf_thickness")
leaf_thickness_d13_mean_by_IT97K <- leaf_thickness_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
leaf_thickness_d13_mean_by_IT97K <- leaf_thickness_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
leaf_thickness_d13_mean_by_IT97K## Warning: Removed 1 rows containing non-finite values (stat_summary).## Warning: Removed 1 rows containing non-finite values (stat_compare_means).## Warning: Removed 1 rows containing missing values (geom_point).
#Leaf.Temperature
Leaf.Temperature_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_dneg2_mean_by_IT97K <- Leaf.Temperature_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_dneg2_mean_by_IT97K <- Leaf.Temperature_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_dneg2_mean_by_IT97K
Leaf.Temperature_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_d0_mean_by_IT97K <- Leaf.Temperature_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_d0_mean_by_IT97K <- Leaf.Temperature_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_d0_mean_by_IT97K
Leaf.Temperature_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_d2_mean_by_IT97K <- Leaf.Temperature_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_d2_mean_by_IT97K <- Leaf.Temperature_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_d2_mean_by_IT97K
Leaf.Temperature_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_d5_mean_by_IT97K <- Leaf.Temperature_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_d5_mean_by_IT97K <- Leaf.Temperature_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_d5_mean_by_IT97K
Leaf.Temperature_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_d8_mean_by_IT97K <- Leaf.Temperature_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_d8_mean_by_IT97K <- Leaf.Temperature_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_d8_mean_by_IT97K
Leaf.Temperature_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_d10_mean_by_IT97K <- Leaf.Temperature_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_d10_mean_by_IT97K <- Leaf.Temperature_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_d10_mean_by_IT97K
Leaf.Temperature_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "Leaf.Temperature", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "Leaf.Temperature")
Leaf.Temperature_d13_mean_by_IT97K <- Leaf.Temperature_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
Leaf.Temperature_d13_mean_by_IT97K <- Leaf.Temperature_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
Leaf.Temperature_d13_mean_by_IT97K
#SPAD
SPAD_dneg2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_dneg2, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_dneg2_mean_by_IT97K <- SPAD_dneg2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_dneg2_mean_by_IT97K <- SPAD_dneg2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_dneg2_mean_by_IT97K
SPAD_d0_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d0, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_d0_mean_by_IT97K <- SPAD_d0_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_d0_mean_by_IT97K <- SPAD_d0_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_d0_mean_by_IT97K
SPAD_d2_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d2, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_d2_mean_by_IT97K <- SPAD_d2_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_d2_mean_by_IT97K <- SPAD_d2_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_d2_mean_by_IT97K
SPAD_d5_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d5, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_d5_mean_by_IT97K <- SPAD_d5_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_d5_mean_by_IT97K <- SPAD_d5_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_d5_mean_by_IT97K
SPAD_d8_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d8, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_d8_mean_by_IT97K <- SPAD_d8_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_d8_mean_by_IT97K <- SPAD_d8_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_d8_mean_by_IT97K
SPAD_d10_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d10, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_d10_mean_by_IT97K <- SPAD_d10_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_d10_mean_by_IT97K <- SPAD_d10_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_d10_mean_by_IT97K
SPAD_d13_mean_by_IT97K <- ggerrorplot(Photosyn_geno2_d13, y = "SPAD", x = "genotype", na.rm = TRUE, fill = "genotype", color = "genotype",
facet.by = c("Day", "Treatment"), ncol = 4,
desc_stat = "mean_sd", add = "jitter",
add.params = list(color = "darkgray"),
xlab = "Genotype", ylab = "SPAD")
SPAD_d13_mean_by_IT97K <- SPAD_d13_mean_by_IT97K + rremove("legend") + stat_compare_means(method = "t.test", ref.group = "IT97K-499", label = "p.signif", hide.ns = TRUE)
SPAD_d13_mean_by_IT97K <- SPAD_d13_mean_by_IT97K + theme(axis.text.x = element_text(angle = 90))
SPAD_d13_mean_by_IT97K