Operators acting on objects to extract parts.
Arguments
- x
An object from which to extract element(s) or in which to replace element(s).
- i
A
characterstring specifying elements to extract. Any unambiguous substring can be given (see details).
Value
A list.
Details
If i is "data", returns a list with the following elements:
dataA
numericmatrix of raw data.meanA
numericvector giving the variables means (PCA).sdA
numericvector giving the variables standard deviations (PCA).
If i is "rows", returns a list with the following elements:
coordA
numericmatrix of rows/individuals coordinates.cos2A
numericmatrix of rows/individuals squared cosine.massesA
numericvector giving the rows masses/individual weights.supA
logicalvector specifying whether a point is a supplementary observation or not.
If i is "columns", returns a list with the following elements:
coordA
numericmatrix of columns/variables coordinates.corA
numericmatrix of correlation between variables and the dimensions (PCA).cos2A
numericmatrix of columns/variables squared cosine.massesA
numericvector giving the columns masses/variable weights.supA
logicalvector specifying whether a point is a supplementary observation or not.
If i is "eigenvalues", returns a numeric vector of eigenvalues.
See also
Other mutators:
dimnames(),
get_contributions(),
get_coordinates(),
get_data(),
get_distances(),
get_eigenvalues(),
loadings()
Examples
## Load data
data("iris")
## Compute principal components analysis
X <- pca(iris, scale = TRUE, sup_row = 8:10, sup_col = 1)
#> 1 qualitative variable was removed: Species.
## Get results for the individuals
X[["rows"]]
#> $coordinates
#> F1 F2
#> 1 -2.1799607 0.107860619
#> 2 -1.6996139 -0.926588874
#> 3 -1.9288393 -0.527485410
#> 4 -1.7585967 -0.705022642
#> 5 -2.2760301 0.314750517
#> 6 -2.2841520 1.069266219
#> 7 -1.9994783 -0.054120776
#> 11 -2.3350128 0.536316749
#> 12 -2.0097181 -0.069676614
#> 13 -1.7840271 -0.971497378
#> 14 -1.8952870 -1.015526377
#> 15 -2.7344808 1.112957446
#> 16 -2.8386721 2.074363046
#> 17 -2.4324986 1.010560888
#> 18 -2.0955476 0.152769123
#> 19 -2.2724958 0.817467817
#> 20 -2.3466691 0.788115151
#> 21 -1.9726315 -0.055000281
#> 22 -2.1661866 0.626133757
#> 23 -2.4243767 0.256045186
#> 24 -1.6233228 -0.127164668
#> 25 -1.8984582 -0.025647615
#> 26 -1.6254407 -0.897236208
#> 27 -1.8408919 0.020140394
#> 28 -2.1428741 0.122536952
#> 29 -2.0838914 -0.099029280
#> 30 -1.8175794 -0.483456411
#> 31 -1.7215100 -0.690346310
#> 32 -1.8779785 0.005464061
#> 33 -2.8037034 1.318967839
#> 34 -2.8524463 1.556089908
#> 35 -1.7585967 -0.705022642
#> 36 -1.9659259 -0.542161743
#> 37 -2.2170474 0.093184286
#> 38 -2.3604432 0.269842013
#> 39 -1.7367006 -0.941265207
#> 40 -2.0468047 -0.084352947
#> 41 -2.1326343 0.138092790
#> 42 -0.9798020 -2.344585993
#> 43 -1.9288393 -0.527485410
#> 44 -1.7681350 0.316847300
#> 45 -2.1139094 0.891728987
#> 46 -1.6152008 -0.881680370
#> 47 -2.3939955 0.757882980
#> 48 -1.8917527 -0.512809077
#> 49 -2.3350128 0.536316749
#> 50 -1.9878220 -0.305919178
#> 51 0.3450638 0.510411957
#> 52 0.3553036 0.525967795
#> 53 0.5997195 0.377783228
#> 54 0.8656684 -1.499239964
#> 55 0.7766677 -0.286915466
#> 56 0.5707548 -0.391408807
#> 57 0.4178206 0.807118863
#> 58 0.2567533 -1.529809908
#> 59 0.5117721 -0.169842576
#> 60 0.5287175 -0.641448199
#> 61 0.7152040 -2.328016836
#> 62 0.4361824 0.068158999
#> 63 0.7084985 -1.840855375
#> 64 0.6332719 -0.110257739
#> 65 0.1409057 -0.316605905
#> 66 0.3298732 0.259493060
#> 67 0.5474423 0.112187998
#> 68 0.2652383 -0.791729549
#> 69 1.3159972 -1.542931190
#> 70 0.4676168 -1.189953508
#> 71 0.7198029 0.704722305
#> 72 0.3853216 -0.464790472
#> 73 1.1761357 -0.863556163
#> 74 0.5605150 -0.406964645
#> 75 0.4005122 -0.213871574
#> 76 0.4259426 0.052603161
#> 77 0.7664279 -0.302471304
#> 78 0.9017017 0.275386670
#> 79 0.6435117 -0.094701901
#> 80 0.1387878 -1.086677445
#> 81 0.5265996 -1.411519740
#> 82 0.4050998 -1.471104576
#> 83 0.3598912 -0.731265207
#> 84 1.1425834 -0.375515196
#> 85 0.5474423 0.112187998
#> 86 0.2475780 0.984656096
#> 87 0.5255462 0.348430562
#> 88 1.0140150 -1.440534633
#> 89 0.2302695 -0.036334342
#> 90 0.6735297 -1.085460167
#> 91 0.6413938 -0.864773441
#> 92 0.5001159 0.081955827
#> 93 0.4930472 -0.923478773
#> 94 0.3528226 -1.736699807
#> 95 0.5555643 -0.642327704
#> 96 0.1829431 -0.066566513
#> 97 0.3634255 -0.228547907
#> 98 0.4005122 -0.213871574
#> 99 0.1338371 -1.322040504
#> 100 0.4224083 -0.450114139
#> 101 1.6596649 1.402087727
#> 102 1.3958227 -0.240789684
#> 103 1.5731339 0.587107682
#> 104 1.3047041 0.201463273
#> 105 1.6204604 0.617339853
#> 106 1.8327404 0.689842013
#> 107 1.1966153 -0.832444487
#> 108 1.5643105 0.304197604
#> 109 1.7631548 -0.596743655
#> 110 1.4085435 2.037433755
#> 111 0.9998890 0.838568312
#> 112 1.4699960 -0.211437019
#> 113 1.4247874 0.528402351
#> 114 1.6352879 -0.624337311
#> 115 1.7218189 0.190642734
#> 116 1.3273016 1.002646490
#> 117 1.1715481 0.393676839
#> 118 1.1856853 2.404546038
#> 119 2.4971040 -0.003871575
#> 120 1.5014304 -1.469549526
#> 121 1.4756482 1.061351821
#> 122 1.3099931 -0.018343948
#> 123 1.9775527 0.245830045
#> 124 1.2372363 -0.315050854
#> 125 1.2107526 1.178424712
#> 126 1.1648425 0.880838301
#> 127 1.1040803 -0.122837289
#> 128 0.9490282 0.305618841
#> 129 1.6540127 0.129298887
#> 130 1.1139818 0.347888830
#> 131 1.6706197 0.112863543
#> 132 0.9055992 2.270700031
#> 133 1.7384258 0.174207390
#> 134 0.9621009 -0.213533802
#> 135 1.2552597 -0.598840438
#> 136 1.8161334 0.706277356
#> 137 1.3308359 1.505363789
#> 138 1.0754787 0.600566737
#> 139 0.9119416 0.290942508
#> 140 1.2916314 0.720615916
#> 141 1.6190440 0.884694094
#> 142 1.3491977 0.766403925
#> 143 1.3958227 -0.240789684
#> 144 1.5498214 1.090704487
#> 145 1.5484050 1.358058728
#> 146 1.4823537 0.574190360
#> 147 1.5508748 -0.669245814
#> 148 1.2291144 0.439464848
#> 149 1.1722495 1.431102620
#> 150 1.0232015 0.334971507
#> 8 -2.0468047 -0.084352947
#> 9 -1.6035446 -1.133478772
#> 10 -1.8430098 -0.749931146
#>
#> $contributions
#> F1 F2
#> 1 1.453343684 0.0106993487
#> 2 0.883428800 0.7895973615
#> 3 1.137792525 0.2558894786
#> 4 0.945809064 0.4571278240
#> 5 1.584261926 0.0911096611
#> 6 1.595588876 1.0514853344
#> 7 1.222656219 0.0026937641
#> 11 1.667437334 0.2645295822
#> 12 1.235211341 0.0044648369
#> 13 0.973360803 0.8679901399
#> 14 1.098552806 0.9484489111
#> 15 2.286760836 1.1391702764
#> 16 2.464344658 3.9573190026
#> 17 1.809573309 0.9391965689
#> 18 1.342969212 0.0214636064
#> 19 1.579345535 0.6145721192
#> 20 1.684126390 0.5712298316
#> 21 1.190043653 0.0027820270
#> 22 1.435035728 0.3605502185
#> 23 1.797509409 0.0602927030
#> 24 0.805899240 0.0148718312
#> 25 1.102232091 0.0006049584
#> 26 0.808003463 0.7403636858
#> 27 1.036400344 0.0003730503
#> 28 1.404314222 0.0138091094
#> 29 1.328070529 0.0090190079
#> 30 1.010317225 0.2149543180
#> 31 0.906337800 0.4382940161
#> 32 1.078579659 0.0000274576
#> 33 2.404003572 1.5999261560
#> 34 2.488318246 2.2269009410
#> 35 0.945809064 0.4571278240
#> 36 1.181966834 0.2703268996
#> 37 1.503214416 0.0079857717
#> 38 1.703954895 0.0669654302
#> 39 0.922403375 0.8148084750
#> 40 1.281220300 0.0065438305
#> 41 1.390925123 0.0175377362
#> 42 0.293594279 5.0554970160
#> 43 1.137792525 0.2558894786
#> 44 0.956096741 0.0923276004
#> 45 1.366607256 0.7313028984
#> 46 0.797855133 0.7149141115
#> 47 1.752740637 0.5282455348
#> 48 1.094459487 0.2418482414
#> 49 1.667437334 0.2645295822
#> 50 1.208442464 0.0860686388
#> 51 0.036414113 0.2395924925
#> 52 0.038607369 0.2544191706
#> 53 0.109993587 0.1312553072
#> 54 0.229178638 2.0671587361
#> 55 0.184476671 0.0757075942
#> 56 0.099625421 0.1408940695
#> 57 0.053388873 0.5991099343
#> 58 0.020160574 2.1523181354
#> 59 0.080098468 0.0265292309
#> 60 0.085490582 0.3784031185
#> 61 0.156433881 4.9842952461
#> 62 0.058184494 0.0042724593
#> 63 0.153514287 3.1165268007
#> 64 0.122645427 0.0111802030
#> 65 0.006071949 0.0921869714
#> 66 0.033278603 0.0619274246
#> 67 0.091653220 0.0115750885
#> 68 0.021515104 0.5764813136
#> 69 0.529640167 2.1893976274
#> 70 0.066873073 1.3022414468
#> 71 0.158452140 0.4567384375
#> 72 0.045406471 0.1986762522
#> 73 0.423044289 0.6858240370
#> 74 0.096082758 0.1523157768
#> 75 0.049057166 0.0420666239
#> 76 0.055484680 0.0025448091
#> 77 0.179644343 0.0841394918
#> 78 0.248654774 0.0697456870
#> 79 0.126643778 0.0082480050
#> 80 0.005890792 1.0860075196
#> 81 0.084807053 1.8323373666
#> 82 0.050187444 1.9903003497
#> 83 0.039610792 0.4917918728
#> 84 0.399251696 0.1296840484
#> 85 0.091653220 0.0115750885
#> 86 0.018745415 0.8916628530
#> 87 0.084468126 0.1116513580
#> 88 0.314455886 1.9084418605
#> 89 0.016216010 0.0012141326
#> 90 0.138734505 1.0835758275
#> 91 0.125811545 0.6877588893
#> 92 0.076491334 0.0061771934
#> 93 0.074344362 0.7843056805
#> 94 0.038070081 2.7738376469
#> 95 0.094392957 0.3794415052
#> 96 0.010235356 0.0040751457
#> 97 0.040392607 0.0480381224
#> 98 0.049057166 0.0420666239
#> 99 0.005478023 1.6073892100
#> 100 0.054567719 0.1863274482
#> 101 0.842387320 1.8079312085
#> 102 0.595842510 0.0533221045
#> 103 0.756837054 0.3170056865
#> 104 0.520589025 0.0373270182
#> 105 0.803059702 0.3504936509
#> 106 1.027242319 0.4376539041
#> 107 0.437905211 0.6372973156
#> 108 0.748370960 0.0851026540
#> 109 0.950718311 0.3274968644
#> 110 0.606752411 3.8176711884
#> 111 0.305755696 0.6467082790
#> 112 0.660850565 0.0411143642
#> 113 0.620827724 0.2567798899
#> 114 0.817823172 0.3584842707
#> 115 0.906663024 0.0334250480
#> 116 0.538778450 0.9245431850
#> 117 0.419750477 0.1425316314
#> 118 0.429941982 5.3173802664
#> 119 1.906971687 0.0000137850
#> 120 0.689416059 1.9860948268
#> 121 0.665942333 1.0359773621
#> 122 0.524818373 0.0003094690
#> 123 1.195988781 0.0555778122
#> 124 0.468140574 0.0912836189
#> 125 0.448313474 1.2771303006
#> 126 0.414959229 0.7135491729
#> 127 0.372796904 0.0138768844
#> 128 0.275441407 0.0858997255
#> 129 0.836659379 0.0153752114
#> 130 0.379513426 0.1113044416
#> 131 0.853544550 0.0117149082
#> 132 0.250808937 4.7418854471
#> 133 0.924236944 0.0279103111
#> 134 0.283081973 0.0419338551
#> 135 0.481879173 0.3298023644
#> 136 1.008710388 0.4587563529
#> 137 0.541651566 2.0840803395
#> 138 0.353732210 0.3317065721
#> 139 0.254334345 0.0778477176
#> 140 0.510209050 0.4775724073
#> 141 0.801656426 0.7198098450
#> 142 0.556701191 0.5401905310
#> 143 0.595842510 0.0533221045
#> 144 0.734571902 1.0940715530
#> 145 0.733229824 1.6961670731
#> 146 0.672008322 0.3032098599
#> 147 0.735570728 0.4119104916
#> 148 0.462014453 0.1776150699
#> 149 0.420253277 1.8835323329
#> 150 0.320179346 0.1031922926
#>
#> $cos2
#> F1 F2
#> 1 0.997537883 2.442069e-03
#> 2 0.770275213 2.289389e-01
#> 3 0.929285621 6.949892e-02
#> 4 0.861533164 1.384668e-01
#> 5 0.981140144 1.876324e-02
#> 6 0.820250332 1.797497e-01
#> 7 0.997006440 7.304536e-04
#> 11 0.948921305 5.006041e-02
#> 12 0.997254638 1.198698e-03
#> 13 0.771015900 2.286355e-01
#> 14 0.775718588 2.227084e-01
#> 15 0.857879117 1.421129e-01
#> 16 0.651874030 3.480990e-01
#> 17 0.849498051 1.466163e-01
#> 18 0.993184069 5.278443e-03
#> 19 0.884472859 1.144510e-01
#> 20 0.898639841 1.013588e-01
#> 21 0.995527356 7.739112e-04
#> 22 0.920782450 7.693067e-02
#> 23 0.985634960 1.099383e-02
#> 24 0.983278582 6.033923e-03
#> 25 0.988580295 1.804280e-04
#> 26 0.766287189 2.334871e-01
#> 27 0.996619952 1.192913e-04
#> 28 0.996181238 3.257461e-03
#> 29 0.997744694 2.253183e-03
#> 30 0.933168940 6.602192e-02
#> 31 0.861052131 1.384664e-01
#> 32 0.993951874 8.414246e-06
#> 33 0.814686002 1.802995e-01
#> 34 0.769931500 2.291324e-01
#> 35 0.861533164 1.384668e-01
#> 36 0.926583440 7.047060e-02
#> 37 0.998037699 1.763122e-03
#> 38 0.984800233 1.287005e-02
#> 39 0.771150422 2.265235e-01
#> 40 0.997960094 1.694966e-03
#> 41 0.992507874 4.161436e-03
#> 42 0.146925900 8.413062e-01
#> 43 0.929285621 6.949892e-02
#> 44 0.946393484 3.039071e-02
#> 45 0.848161656 1.509286e-01
#> 46 0.765582021 2.281188e-01
#> 47 0.906464208 9.084652e-02
#> 48 0.931348538 6.843763e-02
#> 49 0.948921305 5.006041e-02
#> 50 0.976803096 2.313478e-02
#> 51 0.277995466 6.082479e-01
#> 52 0.311683132 6.830184e-01
#> 53 0.664146963 2.635440e-01
#> 54 0.249361414 7.479428e-01
#> 55 0.878241702 1.198537e-01
#> 56 0.637260992 2.996949e-01
#> 57 0.210729871 7.863598e-01
#> 58 0.027308118 9.694709e-01
#> 59 0.758623302 8.355378e-02
#> 60 0.387926000 5.709851e-01
#> 61 0.086194377 9.132535e-01
#> 62 0.926162213 2.261503e-02
#> 63 0.128022840 8.642691e-01
#> 64 0.898327863 2.723157e-02
#> 65 0.130964651 6.612032e-01
#> 66 0.593595505 3.673229e-01
#> 67 0.958380776 4.024891e-02
#> 68 0.090772461 8.087892e-01
#> 69 0.420435646 5.779399e-01
#> 70 0.133260226 8.629393e-01
#> 71 0.504882110 4.839482e-01
#> 72 0.406578554 5.915782e-01
#> 73 0.645293645 3.478754e-01
#> 74 0.519247169 2.737241e-01
#> 75 0.734870489 2.095489e-01
#> 76 0.958138539 1.461335e-02
#> 77 0.812191218 1.264981e-01
#> 78 0.912896321 8.514938e-02
#> 79 0.978657862 2.119510e-02
#> 80 0.016044824 9.836341e-01
#> 81 0.122144323 8.775790e-01
#> 82 0.070309187 9.272035e-01
#> 83 0.194938448 8.048312e-01
#> 84 0.891022209 9.624269e-02
#> 85 0.958380776 4.024891e-02
#> 86 0.059437245 9.401643e-01
#> 87 0.672034771 2.953945e-01
#> 88 0.330736771 6.674844e-01
#> 89 0.946744678 2.357189e-02
#> 90 0.277285564 7.201808e-01
#> 91 0.342463747 6.225436e-01
#> 92 0.891508689 2.394109e-02
#> 93 0.221487022 7.770072e-01
#> 94 0.039508517 9.572545e-01
#> 95 0.426831711 5.705601e-01
#> 96 0.490691231 6.496627e-02
#> 97 0.698527791 2.762532e-01
#> 98 0.734870489 2.095489e-01
#> 99 0.009680752 9.445952e-01
#> 100 0.467996371 5.314018e-01
#> 101 0.576108690 4.111629e-01
#> 102 0.961696898 2.861893e-02
#> 103 0.877177165 1.221776e-01
#> 104 0.958249977 2.284791e-02
#> 105 0.870879776 1.263950e-01
#> 106 0.851672810 1.206619e-01
#> 107 0.657810722 3.183482e-01
#> 108 0.886186912 3.351128e-02
#> 109 0.885499558 1.014339e-01
#> 110 0.321916434 6.735496e-01
#> 111 0.577480507 4.061726e-01
#> 112 0.978244776 2.023845e-02
#> 113 0.873487112 1.201395e-01
#> 114 0.848034409 1.236129e-01
#> 115 0.885718143 1.085828e-02
#> 116 0.607788840 3.468240e-01
#> 117 0.884632536 9.989009e-02
#> 118 0.191705611 7.884282e-01
#> 119 0.992440547 2.385649e-06
#> 120 0.508966080 4.875811e-01
#> 121 0.651305390 3.369285e-01
#> 122 0.949464886 1.861772e-04
#> 123 0.939398567 1.451656e-02
#> 124 0.929464957 6.026831e-02
#> 125 0.513528277 4.864713e-01
#> 126 0.594651369 3.400324e-01
#> 127 0.968111697 1.198353e-02
#> 128 0.898455967 9.317487e-02
#> 129 0.989867285 6.049073e-03
#> 130 0.787377903 7.679059e-02
#> 131 0.967682818 4.416571e-03
#> 132 0.132869218 8.353566e-01
#> 133 0.977445867 9.815525e-03
#> 134 0.899008289 4.428491e-02
#> 135 0.716813201 1.631402e-01
#> 136 0.867820065 1.312456e-01
#> 137 0.428750425 5.485781e-01
#> 138 0.748409494 2.333771e-01
#> 139 0.890507966 9.063963e-02
#> 140 0.754859896 2.349616e-01
#> 141 0.744129523 2.221864e-01
#> 142 0.695525700 2.244282e-01
#> 143 0.961696898 2.861893e-02
#> 144 0.666268263 3.299894e-01
#> 145 0.547542725 4.211977e-01
#> 146 0.810397292 1.215923e-01
#> 147 0.830568366 1.546654e-01
#> 148 0.874671814 1.118173e-01
#> 149 0.391519529 5.835188e-01
#> 150 0.903130625 9.679300e-02
#> 8 0.997960094 1.694966e-03
#> 9 0.666045138 3.327885e-01
#> 10 0.856123843 1.417503e-01
#>
#> $masses
#> 1 2 3 4 5 6
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 7 14 15 16 17 18
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 19 20 21 22 23 24
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 25 26 27 28 29 30
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 31 32 33 34 35 36
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 37 38 39 40 41 42
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 43 44 45 46 47 48
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 49 50 51 52 53 54
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 55 56 57 58 59 60
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 61 62 63 64 65 66
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 67 68 69 70 71 72
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 73 74 75 76 77 78
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 79 80 81 82 83 84
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 85 86 87 88 89 90
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 91 92 93 94 95 96
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 97 98 99 100 101 102
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 103 104 105 106 107 108
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 109 110 111 112 113 114
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 115 116 117 118 119 120
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 121 122 123 124 125 126
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 127 128 129 130 131 132
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 133 134 135 136 137 138
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 139 140 141 142 143 144
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 145 146 147 148 149 150
#> 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721 0.006802721
#> 8 9 10
#> 0.006802721 0.006802721 0.006802721
#>
#> $supplement
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [73] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [85] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [109] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [145] FALSE FALSE FALSE TRUE TRUE TRUE
#>