Print a comresp object in the R console.
# S3 method for class 'comresp'
print(x, ..., category = "blup.main", age = "all")An object of class comresp.
Currently not used.
A string indicating which object to print. Options are "all"
for printing all objects, "summar" for printing the variance components and the
likelihood ratio test (if lrt = TRUE in asr or asr_ma),
"blup.main" (Default) for printing the DGE, IGE and TGV (the main effects
if a multi-age model was fitted), and "blup.within" for printing the DGE,
IGE and TGV within ages (if a multi-age model was fitted).
If category = 'blup.within', a string indicating if this object should be printed per age.
Options are "all" for printing all ages, or the name of a specific age. Defaults
to "all".
# \donttest{
library(gencomp)
comp_mat = prepfor(data = euca, gen = 'clone', area = 'area',
plt = 'tree', age = 'age', row = 'row', col = 'col',
dist.col = 3, dist.row = 2, trait = 'MAI', method = 'SK',
n.dec = 3, verbose = FALSE, effs = c("block"))
model = asr_ma(prep.out = comp_mat,
fixed = MAI~ age,
random = ~ block:age,
lrtest = TRUE,
spatial = TRUE,
cor = TRUE,
maxit = 20)
#> ASReml Version 4.2 21/01/2025 18:22:00
#> LogLik Sigma2 DF wall
#> 1 -5695.638 1.0 1645 18:22:01 ( 4 restrained)
#> 2 -5632.490 1.0 1645 18:22:01 ( 5 restrained)
#> 3 -5562.100 1.0 1645 18:22:02 ( 3 restrained)
#> 4 -5515.785 1.0 1645 18:22:02 ( 2 restrained)
#> 5 -5489.058 1.0 1645 18:22:03 ( 1 restrained)
#> 6 -5461.928 1.0 1645 18:22:03 ( 1 restrained)
#> 7 -5447.018 1.0 1645 18:22:03
#> 8 -5442.411 1.0 1645 18:22:04
#> 9 -5441.232 1.0 1645 18:22:04
#> 10 -5441.178 1.0 1645 18:22:04
#> 11 -5441.176 1.0 1645 18:22:05
#> ====> Starting likelihood ratio tests
#> ASReml Version 4.2 21/01/2025 18:22:05
#> LogLik Sigma2 DF wall
#> 1 -5567.226 1.0 1645 18:22:06 ( 1 restrained)
#> 2 -5502.968 1.0 1645 18:22:06 ( 3 restrained)
#> 3 -5479.250 1.0 1645 18:22:06 ( 1 restrained)
#> 4 -5460.279 1.0 1645 18:22:07 ( 1 restrained)
#> 5 -5453.254 1.0 1645 18:22:07 ( 1 restrained)
#> 6 -5450.791 1.0 1645 18:22:07 ( 1 restrained)
#> 7 -5449.892 1.0 1645 18:22:07
#> 8 -5449.753 1.0 1645 18:22:08
#> 9 -5449.751 1.0 1645 18:22:08
#> ASReml Version 4.2 21/01/2025 18:22:08
#> LogLik Sigma2 DF wall
#> 1 -5596.539 1.0 1645 18:22:09 ( 1 restrained)
#> 2 -5528.593 1.0 1645 18:22:09 ( 3 restrained)
#> 3 -5496.563 1.0 1645 18:22:09 ( 1 restrained)
#> 4 -5469.550 1.0 1645 18:22:09 ( 1 restrained)
#> 5 -5457.877 1.0 1645 18:22:09 ( 1 restrained)
#> 6 -5453.135 1.0 1645 18:22:10 ( 1 restrained)
#> 7 -5451.147 1.0 1645 18:22:10
#> 8 -5450.770 1.0 1645 18:22:10
#> 9 -5450.762 1.0 1645 18:22:10
#> ASReml Version 4.2 21/01/2025 18:22:10
#> LogLik Sigma2 DF wall
#> 1 -5538.532 1.0 1645 18:22:11
#> 2 -5501.241 1.0 1645 18:22:11 ( 2 restrained)
#> 3 -5479.725 1.0 1645 18:22:11 ( 1 restrained)
#> 4 -5466.675 1.0 1645 18:22:11
#> 5 -5455.535 1.0 1645 18:22:11
#> 6 -5450.825 1.0 1645 18:22:11
#> 7 -5449.790 1.0 1645 18:22:11
#> 8 -5449.751 1.0 1645 18:22:11
#> 9 -5449.751 1.0 1645 18:22:12
#> ASReml Version 4.2 21/01/2025 18:22:12
#> LogLik Sigma2 DF wall
#> 1 -5683.330 1.0 1645 18:22:12 ( 1 restrained)
#> 2 -5604.604 1.0 1645 18:22:12 ( 2 restrained)
#> 3 -5565.312 1.0 1645 18:22:13 ( 2 restrained)
#> 4 -5541.890 1.0 1645 18:22:13 ( 2 restrained)
#> 5 -5527.033 1.0 1645 18:22:13 ( 1 restrained)
#> 6 -5512.722 1.0 1645 18:22:13 ( 1 restrained)
#> 7 -5506.215 1.0 1645 18:22:13
#> 8 -5504.876 1.0 1645 18:22:13
#> 9 -5504.665 1.0 1645 18:22:14
#> 10 -5504.661 1.0 1645 18:22:14
#> ASReml Version 4.2 21/01/2025 18:22:14
#> LogLik Sigma2 DF wall
#> 1 -5573.612 1.0 1645 18:22:14
#> 2 -5532.774 1.0 1645 18:22:14 ( 2 restrained)
#> 3 -5509.337 1.0 1645 18:22:14
#> 4 -5489.122 1.0 1645 18:22:15
#> 5 -5480.358 1.0 1645 18:22:15
#> 6 -5478.228 1.0 1645 18:22:15
#> 7 -5478.111 1.0 1645 18:22:15
#> 8 -5478.108 1.0 1645 18:22:15
#> ====> LRT results:
#> effect LR-statistic Pr(Chisq)
#> 1 DGE 1.098212e+02 0.000000e+00
#> 2 IGE 5.671546e+01 2.520206e-14
#> 3 DGE:age 2.022865e+00 7.747327e-02
#> 4 IGE:age -9.514352e-05 5.000000e-01
results = resp(prep.out = comp_mat, model = model, weight.tgv = FALSE, sd.class = 1)
print(results)
#> ===> DGE, IGE and TGV
#> clone DGE se.DGE rel.DGE IGE se.IGE rel.IGE
#> <fctr> <num> <num> <num> <num> <num> <num>
#> 1: C099 24.6155934 3.577760 0.9106661 -0.79919798 2.460610 0.7061682
#> 2: C087 13.2013688 4.119508 0.8815638 2.19377705 2.477019 0.7022363
#> 3: C083 22.7097354 3.620486 0.9085197 -3.44198318 2.510407 0.6941551
#> 4: C028 26.1498864 3.475277 0.9157107 -6.02446200 2.636438 0.6626753
#> 5: C066 8.5283065 3.635331 0.9077680 1.33525136 2.334376 0.7355431
#> 6: C092 28.1174949 3.666496 0.9061798 -7.11882264 2.645961 0.6602338
#> 7: C025 0.3828506 3.581798 0.9104644 4.71115499 2.388269 0.7231915
#> 8: C073 14.4757695 3.552133 0.9119413 -1.34904442 2.389080 0.7230034
#> 9: C023 11.1799264 4.429750 0.8630531 -0.07818138 2.651615 0.6587803
#> 10: C096 8.4122922 3.420055 0.9183681 0.97170205 2.498207 0.6971205
#> 11: C033 0.9581647 3.997578 0.8884710 3.81976471 2.434505 0.7123699
#> 12: C019 -1.7493381 5.512207 0.7879468 4.87424467 2.372559 0.7268210
#> 13: C075 34.7749389 3.446719 0.9170903 -10.86980030 2.542849 0.6861990
#> 14: C093 26.9481426 3.548553 0.9121187 -8.02511580 2.543072 0.6861440
#> 15: C085 7.1142751 3.662342 0.9063923 0.27182076 2.525885 0.6903720
#> 16: C076 -14.0265744 10.313925 0.2575935 9.12471633 2.237582 0.7570198
#> 17: C046 3.6440155 3.469133 0.9160084 1.50515350 2.546888 0.6852015
#> 18: C011 8.8306228 3.819568 0.8981825 -1.15897999 2.523569 0.6909396
#> 19: C039 -12.0444837 4.058322 0.8850559 7.65086450 2.476385 0.7023886
#> 20: C082 -3.6719377 3.551550 0.9119702 4.03958734 2.468875 0.7041910
#> 21: C080 1.3295020 3.453747 0.9167518 1.81315897 2.522621 0.6911717
#> 22: C008 0.6641248 3.423279 0.9182141 1.96879549 2.453173 0.7079417
#> 23: C097 16.1257274 3.620008 0.9085439 -4.66396455 2.530240 0.6893034
#> 24: C089 10.9336620 3.433417 0.9177290 -2.59197392 2.515964 0.6927996
#> 25: C004 -8.1110852 4.080600 0.8837905 5.56384109 2.424791 0.7146605
#> 26: C037 -8.8753419 10.513700 0.2285551 5.77368180 2.601459 0.6715667
#> 27: C016 -10.5108365 6.807094 0.6766169 6.42060688 2.435875 0.7120460
#> 28: C054 4.6542420 3.725631 0.9031291 -0.17742466 2.437575 0.7116439
#> 29: C022 -3.3588666 3.811756 0.8985986 3.14989920 2.659521 0.6567426
#> 30: C020 1.0856965 4.067402 0.8845409 1.12806025 2.426654 0.7142221
#> 31: C038 12.7536946 3.685042 0.9052283 -3.91118102 2.600725 0.6717520
#> 32: C029 9.1263106 3.929047 0.8922622 -2.37897041 2.632571 0.6636640
#> 33: C048 -7.2699648 4.140305 0.8803650 4.62928876 2.518965 0.6920662
#> 34: C030 -9.8780638 4.650783 0.8490455 5.74248980 2.312698 0.7404322
#> 35: C091 16.3893815 3.722072 0.9033141 -5.52886191 2.467639 0.7044872
#> 36: C042 -10.3757947 4.306107 0.8705913 5.70613591 2.532117 0.6888422
#> 37: C094 12.7981424 3.556092 0.9117449 -4.34227862 2.568570 0.6798186
#> 38: C012 1.0520764 3.961655 0.8904665 0.65555788 2.662183 0.6560551
#> 39: C006 5.7488966 3.660083 0.9065077 -1.40256034 2.497139 0.6973793
#> 40: C027 17.7637866 4.127863 0.8810829 -6.57678701 2.661813 0.6561507
#> 41: C058 -4.4052486 4.538619 0.8562389 2.86180659 2.573175 0.6786698
#> 42: C013 -4.4145988 3.830370 0.8976058 2.82351806 2.548220 0.6848720
#> 43: C014 0.6429174 3.439070 0.9174578 0.61302333 2.495953 0.6976667
#> 44: C055 20.3115351 3.588649 0.9101215 -7.88398321 2.639078 0.6619993
#> 45: C098 8.9223245 3.825352 0.8978739 -3.02235243 2.395537 0.7215039
#> 46: C010 4.4739674 3.521331 0.9134619 -1.11738481 2.609469 0.6695412
#> 47: C057 9.2017902 3.533404 0.9128674 -3.33755044 2.549294 0.6846063
#> 48: C069 -8.8977865 4.105342 0.8823769 4.34254687 2.798305 0.6199827
#> 49: C078 0.2608237 3.607569 0.9091713 0.33712395 2.587089 0.6751851
#> 50: C049 1.1412872 3.986351 0.8890966 -0.14664503 2.523758 0.6908933
#> 51: C047 -0.9559314 10.559552 0.2218116 0.62186268 2.678899 0.6517222
#> 52: C045 -7.6352539 4.138562 0.8804656 3.43113860 2.492540 0.6984930
#> 53: C062 1.6158885 3.537829 0.9126491 -0.59025523 2.393447 0.7219899
#> 54: C095 -13.8146351 4.668129 0.8479174 5.98575328 2.480467 0.7014068
#> 55: C001 4.5943942 3.481016 0.9154321 -2.09570546 2.585117 0.6756802
#> 56: C050 0.6659203 10.396883 0.2456028 -0.43320157 2.394549 0.7217338
#> 57: C079 -11.7117120 4.362077 0.8672054 4.74144669 2.423588 0.7149436
#> 58: C032 -3.4555615 3.835731 0.8973190 1.15480877 2.588327 0.6748742
#> 59: C056 2.2619037 4.020630 0.8871811 -1.55786473 2.413082 0.7174098
#> 60: C084 4.8118781 3.659456 0.9065398 -2.73563382 2.465959 0.7048895
#> 61: C067 3.8597666 3.407732 0.9189553 -2.35914171 2.472562 0.7033068
#> 62: C070 1.1098787 3.929629 0.8922303 -1.21558453 2.475821 0.7025242
#> 63: C088 8.8995446 3.359176 0.9212484 -5.01457255 2.403720 0.7195980
#> 64: C065 -9.7579765 3.937199 0.8918146 2.91772336 2.591672 0.6740334
#> 65: C034 -6.1914023 4.461427 0.8610875 1.36788737 2.450179 0.7086542
#> 66: C043 -12.9939921 6.487007 0.7063145 4.25653639 2.292927 0.7448513
#> 67: C074 0.9348632 3.524303 0.9133157 -1.82321355 2.369375 0.7275539
#> 68: C009 9.0797815 3.782424 0.9001532 -5.57642663 2.658715 0.6569505
#> 69: C064 -4.3933717 3.552215 0.9119372 0.04741177 2.603557 0.6710367
#> 70: C077 -10.4876080 3.957612 0.8906899 2.61736719 2.575751 0.6780259
#> 71: C072 -0.3063273 3.349451 0.9217037 -1.75013945 2.423955 0.7148573
#> 72: C005 -13.7764233 3.817664 0.8982840 3.95794324 2.507961 0.6947506
#> 73: C068 -4.0034897 3.441383 0.9173468 -0.35497556 2.339389 0.7344063
#> 74: C061 -2.5219689 3.605702 0.9092653 -1.19247902 2.289162 0.7456884
#> 75: C086 -8.5150245 4.706661 0.8453964 1.37529591 2.372689 0.7267911
#> 76: C071 -2.7793931 3.443594 0.9172405 -1.18719721 2.481478 0.7011633
#> 77: C063 1.3294302 3.897822 0.8939678 -2.96340111 2.536397 0.6877894
#> 78: C031 -13.4924994 3.730517 0.9028748 3.09961485 2.477517 0.7021166
#> 79: C035 -5.8742194 3.749971 0.9018592 -0.23327271 2.457564 0.7068953
#> 80: C051 -2.1297695 3.700997 0.9044059 -2.36740751 2.440174 0.7110287
#> 81: C060 -13.5520826 6.852941 0.6722462 2.23717228 2.579745 0.6770266
#> 82: C003 -13.2013990 5.433674 0.7939461 1.94251059 2.442075 0.7105782
#> 83: C007 -1.2481689 3.612410 0.9089274 -3.28628137 2.611776 0.6689566
#> 84: C021 -17.0669334 5.091737 0.8190637 3.38820032 2.276564 0.7484798
#> 85: C036 -11.1301795 4.267782 0.8728846 0.80807172 2.401419 0.7201348
#> 86: C041 8.9231029 3.665539 0.9062288 -7.79606092 2.589846 0.6744926
#> 87: C081 3.6482350 3.564611 0.9113216 -5.60540972 2.498225 0.6971160
#> 88: C002 -8.0220146 3.458024 0.9165455 -0.68092057 2.457138 0.7069968
#> 89: C015 -0.7109968 6.511596 0.7040838 -3.97026225 2.477670 0.7020797
#> 90: C059 -2.9673707 3.786698 0.8999274 -3.12750744 2.493090 0.6983600
#> 91: C026 -14.6733351 4.093797 0.8830376 1.88981674 2.423228 0.7150283
#> 92: C090 -18.5677349 4.174761 0.8783654 2.80401582 2.386401 0.7236241
#> 93: C040 -12.5826274 4.657878 0.8485846 0.16575960 2.386793 0.7235335
#> 94: C017 -2.9687239 3.459122 0.9164925 -3.97866568 2.427182 0.7140976
#> 95: C052 -12.9669835 4.051819 0.8854240 0.25101011 2.498160 0.6971320
#> 96: C100 -11.7362864 3.614629 0.9088154 -0.37513762 2.323516 0.7379981
#> 97: C024 -8.8179680 3.764385 0.9011033 -2.15000883 2.441655 0.7106779
#> 98: C018 -13.3968346 4.331309 0.8690721 -1.21215364 2.535050 0.6881209
#> 99: C044 -5.6775002 4.146094 0.8800302 -4.72035710 2.544265 0.6858496
#> 100: C053 -10.8967751 4.144844 0.8801025 -2.78307462 2.429144 0.7136352
#> clone DGE se.DGE rel.DGE IGE se.IGE rel.IGE
#> class TGV
#> <char> <num>
#> 1: Homeostatic 22.7522784
#> 2: Homeostatic 18.3161186
#> 3: Homeostatic 14.6848165
#> 4: Aggressive 12.1039669
#> 5: Homeostatic 11.6414199
#> 6: Aggressive 11.5200943
#> 7: Sensitive 11.3668196
#> 8: Homeostatic 11.3304979
#> 9: Homeostatic 10.9976479
#> 10: Homeostatic 10.6777972
#> 11: Sensitive 9.8638740
#> 12: Sensitive 9.6148714
#> 13: Aggressive 9.4322046
#> 14: Aggressive 8.2377365
#> 15: Homeostatic 7.7480201
#> 16: Sensitive 7.2475296
#> 17: Homeostatic 7.1532525
#> 18: Homeostatic 6.1284828
#> 19: Sensitive 5.7933625
#> 20: Sensitive 5.7462839
#> 21: Homeostatic 5.5568479
#> 22: Homeostatic 5.2543344
#> 23: Aggressive 5.2517821
#> 24: Homeostatic 4.8905237
#> 25: Sensitive 4.8609054
#> 26: Sensitive 4.5858883
#> 27: Sensitive 4.4586873
#> 28: Homeostatic 4.2405798
#> 29: Homeostatic 3.9850640
#> 30: Homeostatic 3.7157477
#> 31: Homeostatic 3.6348498
#> 32: Homeostatic 3.5797859
#> 33: Sensitive 3.5231346
#> 34: Sensitive 3.5104428
#> 35: Aggressive 3.4989442
#> 36: Sensitive 2.9279535
#> 37: Aggressive 2.6742017
#> 38: Homeostatic 2.5804972
#> 39: Homeostatic 2.4788536
#> 40: Aggressive 2.4301318
#> 41: Homeostatic 2.2669995
#> 42: Homeostatic 2.1683803
#> 43: Homeostatic 2.0721697
#> 44: Aggressive 1.9301770
#> 45: Homeostatic 1.8757668
#> 46: Homeostatic 1.8688058
#> 47: Homeostatic 1.4203543
#> 48: Sensitive 1.2267796
#> 49: Homeostatic 1.0468218
#> 50: Homeostatic 0.7993871
#> 51: Homeostatic 0.4939297
#> 52: Homeostatic 0.3643810
#> 53: Homeostatic 0.2397196
#> 54: Sensitive 0.1410357
#> 55: Homeostatic -0.2917035
#> 56: Homeostatic -0.3440810
#> 57: Sensitive -0.6571185
#> 58: Homeostatic -0.7631467
#> 59: Homeostatic -1.3702285
#> 60: Homeostatic -1.5662005
#> 61: Homeostatic -1.6405278
#> 62: Homeostatic -1.7242337
#> 63: Aggressive -2.7918368
#> 64: Homeostatic -2.9553596
#> 65: Homeostatic -3.0021987
#> 66: Sensitive -3.0699578
#> 67: Homeostatic -3.3159248
#> 68: Aggressive -3.9215519
#> 69: Homeostatic -4.2828320
#> 70: Homeostatic -4.3852658
#> 71: Homeostatic -4.3867444
#> 72: Sensitive -4.5485533
#> 73: Homeostatic -4.8311086
#> 74: Homeostatic -5.3022113
#> 75: Homeostatic -5.3085481
#> 76: Homeostatic -5.5473210
#> 77: Homeostatic -5.5796836
#> 78: Homeostatic -6.2658059
#> 79: Homeostatic -6.4180904
#> 80: Homeostatic -7.6493355
#> 81: Homeostatic -8.3361576
#> 82: Homeostatic -8.6724722
#> 83: Homeostatic -8.9100719
#> 84: Homeostatic -9.1674083
#> 85: Homeostatic -9.2461755
#> 86: Aggressive -9.2532661
#> 87: Aggressive -9.4206720
#> 88: Homeostatic -9.6095681
#> 89: Aggressive -9.9675884
#> 90: Homeostatic -10.2590953
#> 91: Homeostatic -10.2672630
#> 92: Homeostatic -12.0302249
#> 93: Homeostatic -12.1961620
#> 94: Aggressive -12.2449078
#> 95: Homeostatic -12.3817582
#> 96: Homeostatic -12.6109126
#> 97: Homeostatic -13.8306731
#> 98: Homeostatic -16.2229480
#> 99: Aggressive -16.6829238
#> 100: Homeostatic -17.3854611
#> class TGV
print(results, category = 'summar')
#> ===> Likelihood ratio tests
#> effect LR-statistic Pr(Chisq)
#> 1 DGE 1.098212e+02 0.000000e+00
#> 2 IGE 5.671546e+01 2.520206e-14
#> 3 DGE:age 2.022865e+00 7.747327e-02
#> 4 IGE:age -9.514352e-05 5.000000e-01
#> ===> Variance components
#> component std.error z.ratio bound %ch
#> block:age 1.621697e+01 5.83666336 2.7784659 P 0.0
#> cor(IGE_DGE) -5.829904e-01 0.10731046 -5.4327456 U 0.0
#> DGE 1.432868e+02 23.51414742 6.0936427 P 0.0
#> IGE 2.060568e+01 4.54000889 4.5386865 P 0.0
#> DGE:age 5.282378e+00 4.47060368 1.1815805 P 0.2
#> IGE:age 1.477966e-06 NA NA B NA
#> R=area_A1:age_3y 1.776881e+02 14.08064019 12.6193183 P 0.0
#> R=autocor(row):area_A1:age_3y 7.838337e-02 0.06253917 1.2533485 U 0.1
#> R=autocor(col):area_A1:age_3y -1.413340e-01 0.06366699 -2.2198942 U 0.0
#> R=area_A3:age_3y 1.335698e+02 10.23241149 13.0536001 P 0.0
#> R=autocor(row):area_A3:age_3y 3.150012e-02 0.06750273 0.4666495 U 0.8
#> R=autocor(col):area_A3:age_3y 7.145465e-02 0.06365827 1.1224724 U 0.1
#> R=area_A1:age_6y 4.260002e+02 34.06428764 12.5057708 P 0.0
#> R=autocor(row):area_A1:age_6y -3.134735e-02 0.06819205 -0.4596921 U 0.6
#> R=autocor(col):area_A1:age_6y -1.942322e-01 0.06383635 -3.0426582 U 0.0
#> R=area_A3:age_6y 2.441681e+02 19.30333795 12.6490090 P 0.0
#> R=autocor(row):area_A3:age_6y -3.653100e-02 0.07507359 -0.4866026 U 0.7
#> R=autocor(col):area_A3:age_6y 7.585456e-02 0.06931897 1.0942829 U 0.2
print(results, category = 'blup.main')
#> ===> DGE, IGE and TGV
#> clone DGE se.DGE rel.DGE IGE se.IGE rel.IGE
#> <fctr> <num> <num> <num> <num> <num> <num>
#> 1: C099 24.6155934 3.577760 0.9106661 -0.79919798 2.460610 0.7061682
#> 2: C087 13.2013688 4.119508 0.8815638 2.19377705 2.477019 0.7022363
#> 3: C083 22.7097354 3.620486 0.9085197 -3.44198318 2.510407 0.6941551
#> 4: C028 26.1498864 3.475277 0.9157107 -6.02446200 2.636438 0.6626753
#> 5: C066 8.5283065 3.635331 0.9077680 1.33525136 2.334376 0.7355431
#> 6: C092 28.1174949 3.666496 0.9061798 -7.11882264 2.645961 0.6602338
#> 7: C025 0.3828506 3.581798 0.9104644 4.71115499 2.388269 0.7231915
#> 8: C073 14.4757695 3.552133 0.9119413 -1.34904442 2.389080 0.7230034
#> 9: C023 11.1799264 4.429750 0.8630531 -0.07818138 2.651615 0.6587803
#> 10: C096 8.4122922 3.420055 0.9183681 0.97170205 2.498207 0.6971205
#> 11: C033 0.9581647 3.997578 0.8884710 3.81976471 2.434505 0.7123699
#> 12: C019 -1.7493381 5.512207 0.7879468 4.87424467 2.372559 0.7268210
#> 13: C075 34.7749389 3.446719 0.9170903 -10.86980030 2.542849 0.6861990
#> 14: C093 26.9481426 3.548553 0.9121187 -8.02511580 2.543072 0.6861440
#> 15: C085 7.1142751 3.662342 0.9063923 0.27182076 2.525885 0.6903720
#> 16: C076 -14.0265744 10.313925 0.2575935 9.12471633 2.237582 0.7570198
#> 17: C046 3.6440155 3.469133 0.9160084 1.50515350 2.546888 0.6852015
#> 18: C011 8.8306228 3.819568 0.8981825 -1.15897999 2.523569 0.6909396
#> 19: C039 -12.0444837 4.058322 0.8850559 7.65086450 2.476385 0.7023886
#> 20: C082 -3.6719377 3.551550 0.9119702 4.03958734 2.468875 0.7041910
#> 21: C080 1.3295020 3.453747 0.9167518 1.81315897 2.522621 0.6911717
#> 22: C008 0.6641248 3.423279 0.9182141 1.96879549 2.453173 0.7079417
#> 23: C097 16.1257274 3.620008 0.9085439 -4.66396455 2.530240 0.6893034
#> 24: C089 10.9336620 3.433417 0.9177290 -2.59197392 2.515964 0.6927996
#> 25: C004 -8.1110852 4.080600 0.8837905 5.56384109 2.424791 0.7146605
#> 26: C037 -8.8753419 10.513700 0.2285551 5.77368180 2.601459 0.6715667
#> 27: C016 -10.5108365 6.807094 0.6766169 6.42060688 2.435875 0.7120460
#> 28: C054 4.6542420 3.725631 0.9031291 -0.17742466 2.437575 0.7116439
#> 29: C022 -3.3588666 3.811756 0.8985986 3.14989920 2.659521 0.6567426
#> 30: C020 1.0856965 4.067402 0.8845409 1.12806025 2.426654 0.7142221
#> 31: C038 12.7536946 3.685042 0.9052283 -3.91118102 2.600725 0.6717520
#> 32: C029 9.1263106 3.929047 0.8922622 -2.37897041 2.632571 0.6636640
#> 33: C048 -7.2699648 4.140305 0.8803650 4.62928876 2.518965 0.6920662
#> 34: C030 -9.8780638 4.650783 0.8490455 5.74248980 2.312698 0.7404322
#> 35: C091 16.3893815 3.722072 0.9033141 -5.52886191 2.467639 0.7044872
#> 36: C042 -10.3757947 4.306107 0.8705913 5.70613591 2.532117 0.6888422
#> 37: C094 12.7981424 3.556092 0.9117449 -4.34227862 2.568570 0.6798186
#> 38: C012 1.0520764 3.961655 0.8904665 0.65555788 2.662183 0.6560551
#> 39: C006 5.7488966 3.660083 0.9065077 -1.40256034 2.497139 0.6973793
#> 40: C027 17.7637866 4.127863 0.8810829 -6.57678701 2.661813 0.6561507
#> 41: C058 -4.4052486 4.538619 0.8562389 2.86180659 2.573175 0.6786698
#> 42: C013 -4.4145988 3.830370 0.8976058 2.82351806 2.548220 0.6848720
#> 43: C014 0.6429174 3.439070 0.9174578 0.61302333 2.495953 0.6976667
#> 44: C055 20.3115351 3.588649 0.9101215 -7.88398321 2.639078 0.6619993
#> 45: C098 8.9223245 3.825352 0.8978739 -3.02235243 2.395537 0.7215039
#> 46: C010 4.4739674 3.521331 0.9134619 -1.11738481 2.609469 0.6695412
#> 47: C057 9.2017902 3.533404 0.9128674 -3.33755044 2.549294 0.6846063
#> 48: C069 -8.8977865 4.105342 0.8823769 4.34254687 2.798305 0.6199827
#> 49: C078 0.2608237 3.607569 0.9091713 0.33712395 2.587089 0.6751851
#> 50: C049 1.1412872 3.986351 0.8890966 -0.14664503 2.523758 0.6908933
#> 51: C047 -0.9559314 10.559552 0.2218116 0.62186268 2.678899 0.6517222
#> 52: C045 -7.6352539 4.138562 0.8804656 3.43113860 2.492540 0.6984930
#> 53: C062 1.6158885 3.537829 0.9126491 -0.59025523 2.393447 0.7219899
#> 54: C095 -13.8146351 4.668129 0.8479174 5.98575328 2.480467 0.7014068
#> 55: C001 4.5943942 3.481016 0.9154321 -2.09570546 2.585117 0.6756802
#> 56: C050 0.6659203 10.396883 0.2456028 -0.43320157 2.394549 0.7217338
#> 57: C079 -11.7117120 4.362077 0.8672054 4.74144669 2.423588 0.7149436
#> 58: C032 -3.4555615 3.835731 0.8973190 1.15480877 2.588327 0.6748742
#> 59: C056 2.2619037 4.020630 0.8871811 -1.55786473 2.413082 0.7174098
#> 60: C084 4.8118781 3.659456 0.9065398 -2.73563382 2.465959 0.7048895
#> 61: C067 3.8597666 3.407732 0.9189553 -2.35914171 2.472562 0.7033068
#> 62: C070 1.1098787 3.929629 0.8922303 -1.21558453 2.475821 0.7025242
#> 63: C088 8.8995446 3.359176 0.9212484 -5.01457255 2.403720 0.7195980
#> 64: C065 -9.7579765 3.937199 0.8918146 2.91772336 2.591672 0.6740334
#> 65: C034 -6.1914023 4.461427 0.8610875 1.36788737 2.450179 0.7086542
#> 66: C043 -12.9939921 6.487007 0.7063145 4.25653639 2.292927 0.7448513
#> 67: C074 0.9348632 3.524303 0.9133157 -1.82321355 2.369375 0.7275539
#> 68: C009 9.0797815 3.782424 0.9001532 -5.57642663 2.658715 0.6569505
#> 69: C064 -4.3933717 3.552215 0.9119372 0.04741177 2.603557 0.6710367
#> 70: C077 -10.4876080 3.957612 0.8906899 2.61736719 2.575751 0.6780259
#> 71: C072 -0.3063273 3.349451 0.9217037 -1.75013945 2.423955 0.7148573
#> 72: C005 -13.7764233 3.817664 0.8982840 3.95794324 2.507961 0.6947506
#> 73: C068 -4.0034897 3.441383 0.9173468 -0.35497556 2.339389 0.7344063
#> 74: C061 -2.5219689 3.605702 0.9092653 -1.19247902 2.289162 0.7456884
#> 75: C086 -8.5150245 4.706661 0.8453964 1.37529591 2.372689 0.7267911
#> 76: C071 -2.7793931 3.443594 0.9172405 -1.18719721 2.481478 0.7011633
#> 77: C063 1.3294302 3.897822 0.8939678 -2.96340111 2.536397 0.6877894
#> 78: C031 -13.4924994 3.730517 0.9028748 3.09961485 2.477517 0.7021166
#> 79: C035 -5.8742194 3.749971 0.9018592 -0.23327271 2.457564 0.7068953
#> 80: C051 -2.1297695 3.700997 0.9044059 -2.36740751 2.440174 0.7110287
#> 81: C060 -13.5520826 6.852941 0.6722462 2.23717228 2.579745 0.6770266
#> 82: C003 -13.2013990 5.433674 0.7939461 1.94251059 2.442075 0.7105782
#> 83: C007 -1.2481689 3.612410 0.9089274 -3.28628137 2.611776 0.6689566
#> 84: C021 -17.0669334 5.091737 0.8190637 3.38820032 2.276564 0.7484798
#> 85: C036 -11.1301795 4.267782 0.8728846 0.80807172 2.401419 0.7201348
#> 86: C041 8.9231029 3.665539 0.9062288 -7.79606092 2.589846 0.6744926
#> 87: C081 3.6482350 3.564611 0.9113216 -5.60540972 2.498225 0.6971160
#> 88: C002 -8.0220146 3.458024 0.9165455 -0.68092057 2.457138 0.7069968
#> 89: C015 -0.7109968 6.511596 0.7040838 -3.97026225 2.477670 0.7020797
#> 90: C059 -2.9673707 3.786698 0.8999274 -3.12750744 2.493090 0.6983600
#> 91: C026 -14.6733351 4.093797 0.8830376 1.88981674 2.423228 0.7150283
#> 92: C090 -18.5677349 4.174761 0.8783654 2.80401582 2.386401 0.7236241
#> 93: C040 -12.5826274 4.657878 0.8485846 0.16575960 2.386793 0.7235335
#> 94: C017 -2.9687239 3.459122 0.9164925 -3.97866568 2.427182 0.7140976
#> 95: C052 -12.9669835 4.051819 0.8854240 0.25101011 2.498160 0.6971320
#> 96: C100 -11.7362864 3.614629 0.9088154 -0.37513762 2.323516 0.7379981
#> 97: C024 -8.8179680 3.764385 0.9011033 -2.15000883 2.441655 0.7106779
#> 98: C018 -13.3968346 4.331309 0.8690721 -1.21215364 2.535050 0.6881209
#> 99: C044 -5.6775002 4.146094 0.8800302 -4.72035710 2.544265 0.6858496
#> 100: C053 -10.8967751 4.144844 0.8801025 -2.78307462 2.429144 0.7136352
#> clone DGE se.DGE rel.DGE IGE se.IGE rel.IGE
#> class TGV
#> <char> <num>
#> 1: Homeostatic 22.7522784
#> 2: Homeostatic 18.3161186
#> 3: Homeostatic 14.6848165
#> 4: Aggressive 12.1039669
#> 5: Homeostatic 11.6414199
#> 6: Aggressive 11.5200943
#> 7: Sensitive 11.3668196
#> 8: Homeostatic 11.3304979
#> 9: Homeostatic 10.9976479
#> 10: Homeostatic 10.6777972
#> 11: Sensitive 9.8638740
#> 12: Sensitive 9.6148714
#> 13: Aggressive 9.4322046
#> 14: Aggressive 8.2377365
#> 15: Homeostatic 7.7480201
#> 16: Sensitive 7.2475296
#> 17: Homeostatic 7.1532525
#> 18: Homeostatic 6.1284828
#> 19: Sensitive 5.7933625
#> 20: Sensitive 5.7462839
#> 21: Homeostatic 5.5568479
#> 22: Homeostatic 5.2543344
#> 23: Aggressive 5.2517821
#> 24: Homeostatic 4.8905237
#> 25: Sensitive 4.8609054
#> 26: Sensitive 4.5858883
#> 27: Sensitive 4.4586873
#> 28: Homeostatic 4.2405798
#> 29: Homeostatic 3.9850640
#> 30: Homeostatic 3.7157477
#> 31: Homeostatic 3.6348498
#> 32: Homeostatic 3.5797859
#> 33: Sensitive 3.5231346
#> 34: Sensitive 3.5104428
#> 35: Aggressive 3.4989442
#> 36: Sensitive 2.9279535
#> 37: Aggressive 2.6742017
#> 38: Homeostatic 2.5804972
#> 39: Homeostatic 2.4788536
#> 40: Aggressive 2.4301318
#> 41: Homeostatic 2.2669995
#> 42: Homeostatic 2.1683803
#> 43: Homeostatic 2.0721697
#> 44: Aggressive 1.9301770
#> 45: Homeostatic 1.8757668
#> 46: Homeostatic 1.8688058
#> 47: Homeostatic 1.4203543
#> 48: Sensitive 1.2267796
#> 49: Homeostatic 1.0468218
#> 50: Homeostatic 0.7993871
#> 51: Homeostatic 0.4939297
#> 52: Homeostatic 0.3643810
#> 53: Homeostatic 0.2397196
#> 54: Sensitive 0.1410357
#> 55: Homeostatic -0.2917035
#> 56: Homeostatic -0.3440810
#> 57: Sensitive -0.6571185
#> 58: Homeostatic -0.7631467
#> 59: Homeostatic -1.3702285
#> 60: Homeostatic -1.5662005
#> 61: Homeostatic -1.6405278
#> 62: Homeostatic -1.7242337
#> 63: Aggressive -2.7918368
#> 64: Homeostatic -2.9553596
#> 65: Homeostatic -3.0021987
#> 66: Sensitive -3.0699578
#> 67: Homeostatic -3.3159248
#> 68: Aggressive -3.9215519
#> 69: Homeostatic -4.2828320
#> 70: Homeostatic -4.3852658
#> 71: Homeostatic -4.3867444
#> 72: Sensitive -4.5485533
#> 73: Homeostatic -4.8311086
#> 74: Homeostatic -5.3022113
#> 75: Homeostatic -5.3085481
#> 76: Homeostatic -5.5473210
#> 77: Homeostatic -5.5796836
#> 78: Homeostatic -6.2658059
#> 79: Homeostatic -6.4180904
#> 80: Homeostatic -7.6493355
#> 81: Homeostatic -8.3361576
#> 82: Homeostatic -8.6724722
#> 83: Homeostatic -8.9100719
#> 84: Homeostatic -9.1674083
#> 85: Homeostatic -9.2461755
#> 86: Aggressive -9.2532661
#> 87: Aggressive -9.4206720
#> 88: Homeostatic -9.6095681
#> 89: Aggressive -9.9675884
#> 90: Homeostatic -10.2590953
#> 91: Homeostatic -10.2672630
#> 92: Homeostatic -12.0302249
#> 93: Homeostatic -12.1961620
#> 94: Aggressive -12.2449078
#> 95: Homeostatic -12.3817582
#> 96: Homeostatic -12.6109126
#> 97: Homeostatic -13.8306731
#> 98: Homeostatic -16.2229480
#> 99: Aggressive -16.6829238
#> 100: Homeostatic -17.3854611
#> class TGV
print(results, category = 'blup.within')
#> ===> DGE, IGE and TGV (all ages)
#> clone age DGE se.DGE rel.DGE IGE se.IGE
#> <char> <char> <num> <num> <num> <num> <num>
#> 1: C099 6y 27.029438 2.172472 0.9670616 -0.7991979 0.001215716
#> 2: C099 3y 23.506051 2.158921 0.9674713 -0.7991975 0.001215716
#> 3: C087 6y 14.493990 2.207611 0.9659875 2.1937774 0.001215716
#> 4: C087 3y 12.833064 2.193758 0.9664130 2.1937772 0.001215716
#> 5: C083 6y 23.676494 2.175711 0.9669633 -3.4419833 0.001215716
#> ---
#> 196: C044 3y -5.192635 2.201943 0.9661619 -4.7203577 0.001215716
#> 197: C018 3y -14.062931 2.210587 0.9658957 -1.2121537 0.001215716
#> 198: C053 6y -11.257675 2.212328 0.9658420 -2.7830745 0.001215716
#> 199: C044 6y -6.883679 2.221672 0.9655528 -4.7203571 0.001215716
#> 200: C053 3y -11.382185 2.198336 0.9662727 -2.7830753 0.001215716
#> rel.IGE class TGV
#> <num> <char> <num>
#> 1: 0.9999999 Homeostatic 25.19806
#> 2: 0.9999999 Aggressive 21.61080
#> 3: 0.9999999 Homeostatic 19.52108
#> 4: 0.9999999 Homeostatic 18.03547
#> 5: 0.9999999 Homeostatic 15.78911
#> ---
#> 196: 0.9999999 Homeostatic -16.38668
#> 197: 0.9999999 Homeostatic -16.93748
#> 198: 0.9999999 Homeostatic -17.63516
#> 199: 0.9999999 Aggressive -17.70049
#> 200: 0.9999999 Sensitive -17.98208
print(results, category = 'blup.within', age = '6y')
#> ===> DGE, IGE and TGV(6y)
#> clone age DGE se.DGE rel.DGE IGE se.IGE
#> <char> <char> <num> <num> <num> <num> <num>
#> 1: C099 6y 27.0294376 2.172472 0.9670616 -0.79919794 0.001215716
#> 2: C087 6y 14.4939900 2.207611 0.9659875 2.19377745 0.001215716
#> 3: C083 6y 23.6764945 2.175711 0.9669633 -3.44198329 0.001215716
#> 4: C028 6y 27.1546610 2.159342 0.9674586 -6.02446202 0.001215716
#> 5: C075 6y 38.2217292 2.159263 0.9674610 -10.86980055 0.001215716
#> 6: C092 6y 29.4694007 2.179840 0.9668378 -7.11882278 0.001215716
#> 7: C073 6y 15.4748916 2.174300 0.9670062 -1.34904430 0.001215716
#> 8: C066 6y 9.3236155 2.180907 0.9668053 1.33525160 0.001215716
#> 9: C023 6y 11.9733495 2.224874 0.9654534 -0.07818142 0.001215716
#> 10: C096 6y 8.9665315 2.162160 0.9673736 0.97170210 0.001215716
#> 11: C025 6y 0.3877892 2.182578 0.9667545 4.71115523 0.001215716
#> 12: C033 6y 1.7190281 2.208970 0.9659456 3.81976486 0.001215716
#> 13: C093 6y 28.3993057 2.172588 0.9670581 -8.02511615 0.001215716
#> 14: C019 6y -1.5481778 2.256954 0.9644500 4.87424515 0.001215716
#> 15: C085 6y 7.4807318 2.179911 0.9668357 0.27182101 0.001215716
#> 16: C046 6y 3.9565075 2.162320 0.9673687 1.50515332 0.001215716
#> 17: C011 6y 9.8009524 2.192499 0.9664515 -1.15897989 0.001215716
#> 18: C076 6y -14.0265744 2.296269 0.9632007 9.12471680 0.001215716
#> 19: C097 6y 17.0096315 2.176737 0.9669322 -4.66396469 0.001215716
#> 20: C080 6y 1.2079222 2.158692 0.9674782 1.81315916 0.001215716
#> 21: C008 6y 0.8271023 2.158616 0.9674804 1.96879560 0.001215716
#> 22: C082 6y -3.9959414 2.174063 0.9670134 4.03958744 0.001215716
#> 23: C038 6y 13.8646061 2.180443 0.9668195 -3.91118123 0.001215716
#> 24: C039 6y -12.6460691 2.216245 0.9657209 7.65086493 0.001215716
#> 25: C004 6y -7.9607236 2.223533 0.9654951 5.56384160 0.001215716
#> 26: C091 6y 17.3968534 2.189911 0.9665307 -5.52886196 0.001215716
#> 27: C016 6y -10.3083173 2.283544 0.9636075 6.42060697 0.001215716
#> 28: C054 6y 4.8051267 2.186872 0.9666235 -0.17742475 0.001215716
#> 29: C037 6y -8.8753419 2.296269 0.9632007 5.77368218 0.001215716
#> 30: C022 6y -3.2746308 2.196783 0.9663203 3.14989915 0.001215716
#> 31: C089 6y 9.6697871 2.157963 0.9675001 -2.59197406 0.001215716
#> 32: C094 6y 13.4964277 2.172179 0.9670705 -4.34227906 0.001215716
#> 33: C029 6y 8.8714633 2.199444 0.9662387 -2.37897033 0.001215716
#> 34: C030 6y -9.8259844 2.250739 0.9646456 5.74249008 0.001215716
#> 35: C027 6y 18.3520002 2.212124 0.9658483 -6.57678723 0.001215716
#> 36: C020 6y 0.4872292 2.216155 0.9657237 1.12806038 0.001215716
#> 37: C048 6y -7.6881195 2.217823 0.9656721 4.62928889 0.001215716
#> 38: C042 6y -10.3380963 2.225769 0.9654257 5.70613646 0.001215716
#> 39: C098 6y 9.5264183 2.204017 0.9660981 -3.02235238 0.001215716
#> 40: C014 6y 1.0114863 2.159360 0.9674580 0.61302368 0.001215716
#> 41: C006 6y 5.5998429 2.180201 0.9668268 -1.40256034 0.001215716
#> 42: C010 6y 4.7611608 2.166062 0.9672557 -1.11738501 0.001215716
#> 43: C012 6y 0.3695906 2.199983 0.9662221 0.65555829 0.001215716
#> 44: C057 6y 9.4629144 2.165518 0.9672722 -3.33755055 0.001215716
#> 45: C058 6y -5.0105925 2.228600 0.9653377 2.86180686 0.001215716
#> 46: C055 6y 19.4600262 2.173077 0.9670433 -7.88398350 0.001215716
#> 47: C001 6y 5.6619727 2.162375 0.9673671 -2.09570559 0.001215716
#> 48: C013 6y -5.6338815 2.191711 0.9664756 2.82351801 0.001215716
#> 49: C069 6y -9.2067488 2.214239 0.9657829 4.34254699 0.001215716
#> 50: C047 6y -0.9559314 2.296269 0.9632007 0.62186289 0.001215716
#> 51: C045 6y -7.8082514 2.219747 0.9656125 3.43113904 0.001215716
#> 52: C049 6y 0.3638449 2.199740 0.9662296 -0.14664502 0.001215716
#> 53: C062 6y 1.3287742 2.168796 0.9671730 -0.59025528 0.001215716
#> 54: C078 6y -1.0920746 2.175823 0.9669599 0.33712399 0.001215716
#> 55: C050 6y 0.6659203 2.296269 0.9632007 -0.43320159 0.001215716
#> 56: C095 6y -14.5934472 2.233451 0.9651866 5.98575361 0.001215716
#> 57: C070 6y 1.8830341 2.212265 0.9658439 -1.21558455 0.001215716
#> 58: C032 6y -3.6088782 2.197059 0.9663118 1.15480898 0.001215716
#> 59: C056 6y 2.3345703 2.202555 0.9661431 -1.55786460 0.001215716
#> 60: C079 6y -12.1551033 2.226101 0.9654153 4.74144695 0.001215716
#> 61: C084 6y 4.3274785 2.180151 0.9668284 -2.73563377 0.001215716
#> 62: C067 6y 2.6303669 2.151483 0.9676950 -2.35914180 0.001215716
#> 63: C074 6y 1.1926201 2.168644 0.9671776 -1.82321388 0.001215716
#> 64: C009 6y 9.6988826 2.187966 0.9665901 -5.57642668 0.001215716
#> 65: C088 6y 8.3666320 2.152061 0.9676776 -5.01457257 0.001215716
#> 66: C043 6y -13.0764058 2.272870 0.9639469 4.25653670 0.001215716
#> 67: C065 6y -10.0373586 2.201023 0.9661902 2.91772338 0.001215716
#> 68: C034 6y -6.5928179 2.223541 0.9654948 1.36788733 0.001215716
#> 69: C064 6y -4.2415910 2.165925 0.9672598 0.04741174 0.001215716
#> 70: C077 6y -10.8128028 2.199713 0.9662304 2.61736714 0.001215716
#> 71: C068 6y -4.1397853 2.162676 0.9673580 -0.35497554 0.001215716
#> 72: C071 6y -2.5724689 2.162032 0.9673775 -1.18719735 0.001215716
#> 73: C072 6y -1.3548142 2.151291 0.9677008 -1.75013964 0.001215716
#> 74: C086 6y -8.5422817 2.240821 0.9649564 1.37529607 0.001215716
#> 75: C061 6y -2.9157133 2.181545 0.9667859 -1.19247901 0.001215716
#> 76: C005 6y -14.7371031 2.197582 0.9662958 3.95794338 0.001215716
#> 77: C063 6y -0.1930758 2.235255 0.9651303 -2.96340114 0.001215716
#> 78: C031 6y -14.0966881 2.183166 0.9667366 3.09961469 0.001215716
#> 79: C035 6y -6.4733368 2.187988 0.9665894 -0.23327281 0.001215716
#> 80: C051 6y -2.2676304 2.185000 0.9666807 -2.36740758 0.001215716
#> 81: C060 6y -13.8539592 2.283159 0.9636197 2.23717225 0.001215716
#> 82: C007 6y -1.3378481 2.172737 0.9670536 -3.28628165 0.001215716
#> 83: C041 6y 8.8436517 2.181826 0.9667774 -7.79606122 0.001215716
#> 84: C081 6y 3.4449007 2.172944 0.9670473 -5.60540988 0.001215716
#> 85: C003 6y -13.8529524 2.262198 0.9642846 1.94251049 0.001215716
#> 86: C021 6y -17.1718467 2.282894 0.9636281 3.38820042 0.001215716
#> 87: C036 6y -11.4103147 2.262723 0.9642681 0.80807171 0.001215716
#> 88: C015 6y -0.7843098 2.272619 0.9639548 -3.97026254 0.001215716
#> 89: C002 6y -8.7113064 2.162486 0.9673637 -0.68092051 0.001215716
#> 90: C059 6y -3.3165128 2.191668 0.9664770 -3.12750759 0.001215716
#> 91: C026 6y -15.1317280 2.207213 0.9659997 1.88981667 0.001215716
#> 92: C040 6y -12.4708920 2.256818 0.9644543 0.16575942 0.001215716
#> 93: C090 6y -18.6810913 2.220425 0.9655915 2.80401604 0.001215716
#> 94: C017 6y -3.6065374 2.168999 0.9671668 -3.97866605 0.001215716
#> 95: C052 6y -13.6342053 2.230359 0.9652829 0.25101014 0.001215716
#> 96: C100 6y -12.6723577 2.175561 0.9669679 -0.37513783 0.001215716
#> 97: C024 6y -8.8974140 2.189143 0.9665542 -2.15000906 0.001215716
#> 98: C018 6y -13.5818008 2.232550 0.9652147 -1.21215403 0.001215716
#> 99: C053 6y -11.2576749 2.212328 0.9658420 -2.78307451 0.001215716
#> 100: C044 6y -6.8836789 2.221672 0.9655528 -4.72035713 0.001215716
#> clone age DGE se.DGE rel.DGE IGE se.IGE
#> rel.IGE class TGV
#> <num> <char> <num>
#> 1: 0.9999999 Homeostatic 25.19805687
#> 2: 0.9999999 Homeostatic 19.52108215
#> 3: 0.9999999 Homeostatic 15.78910955
#> 4: 0.9999999 Homeostatic 13.34946585
#> 5: 0.9999999 Homeostatic 13.31332800
#> 6: 0.9999999 Homeostatic 13.15645244
#> 7: 0.9999999 Homeostatic 12.38352521
#> 8: 0.9999999 Homeostatic 12.38337565
#> 9: 0.9999999 Homeostatic 11.79419491
#> 10: 0.9999999 Aggressive 11.19320948
#> 11: 0.9999999 Homeostatic 11.18351114
#> 12: 0.9999999 Homeostatic 10.47210829
#> 13: 0.9999999 Homeostatic 10.00956509
#> 14: 0.9999999 Homeostatic 9.62126853
#> 15: 0.9999999 Homeostatic 8.10361596
#> 16: 0.9999999 Aggressive 7.40560145
#> 17: 0.9999999 Homeostatic 7.14512294
#> 18: 0.9999999 Homeostatic 6.88292681
#> 19: 0.9999999 Aggressive 6.32204775
#> 20: 0.9999999 Homeostatic 5.36281861
#> 21: 0.9999999 Sensitive 5.33864326
#> 22: 0.9999999 Homeostatic 5.26086738
#> 23: 0.9999999 Sensitive 4.90204316
#> 24: 0.9999999 Homeostatic 4.88606614
#> 25: 0.9999999 Homeostatic 4.78894906
#> 26: 0.9999999 Sensitive 4.72733743
#> 27: 0.9999999 Homeostatic 4.40465316
#> 28: 0.9999999 Homeostatic 4.39855372
#> 29: 0.9999999 Homeostatic 4.35518537
#> 30: 0.9999999 Aggressive 3.94343646
#> 31: 0.9999999 Homeostatic 3.73021812
#> 32: 0.9999999 Aggressive 3.54599401
#> 33: 0.9999999 Homeostatic 3.41999732
#> 34: 0.9999999 Homeostatic 3.33306542
#> 35: 0.9999999 Homeostatic 3.28113905
#> 36: 0.9999999 Homeostatic 3.07220583
#> 37: 0.9999999 Homeostatic 2.92000391
#> 38: 0.9999999 Homeostatic 2.73764839
#> 39: 0.9999999 Homeostatic 2.60062738
#> 40: 0.9999999 Aggressive 2.41624431
#> 41: 0.9999999 Homeostatic 2.38584318
#> 42: 0.9999999 Homeostatic 2.20064700
#> 43: 0.9999999 Homeostatic 1.87181772
#> 44: 0.9999999 Homeostatic 1.81483950
#> 45: 0.9999999 Sensitive 1.54730461
#> 46: 0.9999999 Homeostatic 1.39369426
#> 47: 0.9999999 Homeostatic 0.85961452
#> 48: 0.9999999 Homeostatic 0.83627578
#> 49: 0.9999999 Homeostatic 0.74429881
#> 50: 0.9999999 Aggressive 0.46908187
#> 51: 0.9999999 Homeostatic 0.05428365
#> 52: 0.9999999 Homeostatic 0.02780446
#> 53: 0.9999999 Homeostatic -0.02380954
#> 54: 0.9999999 Homeostatic -0.31954708
#> 55: 0.9999999 Homeostatic -0.32677122
#> 56: 0.9999999 Homeostatic -0.87695332
#> 57: 0.9999999 Homeostatic -0.90250628
#> 58: 0.9999999 Homeostatic -0.96260652
#> 59: 0.9999999 Homeostatic -1.23531272
#> 60: 0.9999999 Homeostatic -1.28996717
#> 61: 0.9999999 Homeostatic -1.94129003
#> 62: 0.9999999 Homeostatic -2.77566149
#> 63: 0.9999999 Sensitive -2.98531696
#> 64: 0.9999999 Homeostatic -3.07962907
#> 65: 0.9999999 Sensitive -3.12437792
#> 66: 0.9999999 Homeostatic -3.32245273
#> 67: 0.9999999 Sensitive -3.35132750
#> 68: 0.9999999 Homeostatic -3.45827217
#> 69: 0.9999999 Aggressive -4.13294587
#> 70: 0.9999999 Homeostatic -4.81504504
#> 71: 0.9999999 Homeostatic -4.95322005
#> 72: 0.9999999 Sensitive -5.29295930
#> 73: 0.9999999 Aggressive -5.36529997
#> 74: 0.9999999 Homeostatic -5.39075870
#> 75: 0.9999999 Homeostatic -5.64830676
#> 76: 0.9999999 Homeostatic -5.66738360
#> 77: 0.9999999 Homeostatic -6.98377853
#> 78: 0.9999999 Homeostatic -6.99384875
#> 79: 0.9999999 Homeostatic -7.00788691
#> 80: 0.9999999 Homeostatic -7.69260001
#> 81: 0.9999999 Homeostatic -8.72742682
#> 82: 0.9999999 Homeostatic -8.86843909
#> 83: 0.9999999 Sensitive -9.02120429
#> 84: 0.9999999 Homeostatic -9.40002664
#> 85: 0.9999999 Homeostatic -9.40164433
#> 86: 0.9999999 Sensitive -9.40770645
#> 87: 0.9999999 Homeostatic -9.55859951
#> 88: 0.9999999 Sensitive -9.88225889
#> 89: 0.9999999 Sensitive -10.27165160
#> 90: 0.9999999 Homeostatic -10.48326936
#> 91: 0.9999999 Homeostatic -10.80116908
#> 92: 0.9999999 Homeostatic -12.09105037
#> 93: 0.9999999 Homeostatic -12.25562326
#> 94: 0.9999999 Homeostatic -12.72374332
#> 95: 0.9999999 Sensitive -13.05900971
#> 96: 0.9999999 Homeostatic -13.53199475
#> 97: 0.9999999 Sensitive -13.82420989
#> 98: 0.9999999 Homeostatic -16.35947999
#> 99: 0.9999999 Homeostatic -17.63515503
#> 100: 0.9999999 Aggressive -17.70048727
#> rel.IGE class TGV
# Note that the ages are labelled as "3y" and "6y" in the example dataset
# }