Move plot 2
moveplot2.RdCreate animated biplot on samples and variables in a biplot
Usage
moveplot2(
bp,
time.var,
group.var,
move = TRUE,
hulls = TRUE,
scale.var = 5,
align.time = NA,
reflect = NA
)Arguments
- bp
biplot object from biplotEZ
- time.var
time variable
- group.var
group variable
- move
whether to animate (TRUE) or facet (FALSE) samples and variables, according to time.var
- hulls
whether to display sample points or convex hulls
- scale.var
scaling the vectors representing the variables
- align.time
a vector specifying the levels of time.var for which the biplots should be aligned. Only biplots corresponding to these time points will be used to compute the alignment transformation.
- reflect
a character vector specifying the axis of reflection to apply at each corresponding time point in align.time. One of FALSE (default), "x" for reflection about the x-axis, "y" for reflection about the y-axis and "xy" for reflection about both axes.
Value
- bp
Returns the elements of the biplot object
bpfrombiplotEZ.- plot
An animated or a facet of biplots based on the dynamic frame.
Examples
data(Africa_climate)
bp <- biplot(Africa_climate, scaled = TRUE) |> PCA()
# \donttest{
if(interactive()) {
bp <- bp |> moveplot2(time.var = "Year", group.var = "Region", hulls = TRUE, move = TRUE)}# }
# Extracting measures of fit for PCA
bp <- bp |> moveplot2(time.var = "Year", group.var = "Region", hulls = TRUE, move = FALSE)
bp$quality
#>
#>
#> Table: Biplot qualities per time slice
#>
#> | Time slice | Quality |
#> |:----------:|:-------:|
#> | 1950 | 0.657 |
#> | 1960 | 0.691 |
#> | 1970 | 0.690 |
#> | 1980 | 0.689 |
#> | 1990 | 0.674 |
#> | 2000 | 0.685 |
#> | 2010 | 0.677 |
#> | 2020 | 0.652 |
bp$axis.predictivity
#>
#>
#> Table: Axis predictivities per time slice
#>
#> | Time slice | AccPrec | DailyEva | Temp | SoilMois | SPI6 | wind |
#> |:----------:|:-------:|:--------:|:-----:|:--------:|:-----:|:-----:|
#> | 1950 | 0.754 | 0.757 | 0.527 | 0.887 | 0.420 | 0.596 |
#> | 1960 | 0.789 | 0.718 | 0.683 | 0.919 | 0.305 | 0.735 |
#> | 1970 | 0.777 | 0.638 | 0.726 | 0.896 | 0.389 | 0.715 |
#> | 1980 | 0.801 | 0.781 | 0.607 | 0.887 | 0.296 | 0.760 |
#> | 1990 | 0.824 | 0.783 | 0.583 | 0.909 | 0.221 | 0.723 |
#> | 2000 | 0.760 | 0.617 | 0.727 | 0.905 | 0.535 | 0.571 |
#> | 2010 | 0.763 | 0.772 | 0.632 | 0.873 | 0.293 | 0.727 |
#> | 2020 | 0.784 | 0.794 | 0.547 | 0.895 | 0.149 | 0.743 |
# Extracting measures of fit for CVA
bp <- biplot(Africa_climate) |> CVA(classes = Africa_climate$Region)
bp <- bp |> moveplot2(time.var = "Year", group.var = "Region", hulls = TRUE, move = FALSE)
bp$quality
#>
#>
#> Table: Biplot qualities per time slice
#>
#> | Time slice | Quality.canonical.variables | Quality.original.variables |
#> |:----------:|:---------------------------:|:--------------------------:|
#> | 1950 | 0.910 | 0.865 |
#> | 1960 | 0.955 | 0.904 |
#> | 1970 | 0.962 | 0.904 |
#> | 1980 | 0.939 | 0.889 |
#> | 1990 | 0.977 | 0.899 |
#> | 2000 | 0.935 | 0.896 |
#> | 2010 | 0.967 | 0.887 |
#> | 2020 | 0.950 | 0.892 |
bp$axis.predictivity
#>
#>
#> Table: Axis predictivities per time slice
#>
#> | Time slice | AccPrec | DailyEva | Temp | SoilMois | SPI6 | wind |
#> |:----------:|:-------:|:--------:|:-----:|:--------:|:-----:|:-----:|
#> | 1950 | 0.760 | 0.952 | 0.084 | 0.947 | 0.248 | 0.930 |
#> | 1960 | 0.859 | 0.990 | 0.131 | 0.992 | 0.343 | 0.912 |
#> | 1970 | 0.838 | 0.992 | 0.116 | 0.997 | 0.486 | 0.917 |
#> | 1980 | 0.804 | 0.993 | 0.093 | 0.995 | 0.284 | 0.920 |
#> | 1990 | 0.823 | 0.992 | 0.150 | 0.992 | 0.260 | 0.907 |
#> | 2000 | 0.841 | 0.993 | 0.131 | 0.995 | 0.093 | 0.895 |
#> | 2010 | 0.823 | 0.994 | 0.154 | 0.992 | 0.331 | 0.884 |
#> | 2020 | 0.827 | 0.993 | 0.130 | 0.994 | 0.055 | 0.914 |
bp$within.class.axis.predictivity
#>
#>
#> Table: Class axis predictivities per time slice
#>
#> | Time slice | AccPrec | DailyEva | Temp | SoilMois | SPI6 | wind |
#> |:----------:|:-------:|:--------:|:-----:|:--------:|:-----:|:-----:|
#> | 1950 | 0.042 | 0.746 | 0.003 | 0.317 | 0.061 | 0.145 |
#> | 1960 | 0.042 | 0.713 | 0.004 | 0.285 | 0.027 | 0.095 |
#> | 1970 | 0.041 | 0.751 | 0.005 | 0.327 | 0.012 | 0.154 |
#> | 1980 | 0.047 | 0.674 | 0.004 | 0.397 | 0.024 | 0.147 |
#> | 1990 | 0.042 | 0.748 | 0.004 | 0.359 | 0.001 | 0.097 |
#> | 2000 | 0.040 | 0.708 | 0.004 | 0.354 | 0.008 | 0.178 |
#> | 2010 | 0.034 | 0.724 | 0.007 | 0.347 | 0.009 | 0.112 |
#> | 2020 | 0.031 | 0.679 | 0.004 | 0.307 | 0.004 | 0.135 |
bp$within.class.sample.predictivity
#> $`1950`
#> 1 2 3 4 5 6
#> 0.015746118 0.039730907 0.038497287 0.439666227 0.295784798 0.033879879
#> 7 8 9 10 11 12
#> 0.051984303 0.094404979 0.066739365 0.022906377 0.023222065 0.029903155
#> 13 14 15 16 17 18
#> 0.005232429 0.215091276 0.222586853 0.030373564 0.105045912 0.107605608
#> 19 20 21 22 23 24
#> 0.446808282 0.633012008 0.183867884 0.559753500 0.087099523 0.681736397
#> 25 26 27 28 29 30
#> 0.399452378 0.172633968 0.786841782 0.883491755 0.330237508 0.400795164
#> 31 32 33 34 35 36
#> 0.470506415 0.689945776 0.840671179 0.479041034 0.069240190 0.143161522
#> 37 38 39 40 41 42
#> 0.296027916 0.471274070 0.457073066 0.703790400 0.821506910 0.214198289
#> 43 44 45 46 47 48
#> 0.154020811 0.489285551 0.154766746 0.368023724 0.967064057 0.536786881
#> 49 50 51 52 53 54
#> 0.040982854 0.160021615 0.496128914 0.695456818 0.849843078 0.055428868
#> 55 56 57 58 59 60
#> 0.023828581 0.188415066 0.220614476 0.749728731 0.297507430 0.121130477
#> 61 62 63 64 65 66
#> 0.307879971 0.259804892 0.055035861 0.143700768 0.711699149 0.074593358
#> 67 68 69 70 71 72
#> 0.006633255 0.161860130 0.154779686 0.543050342 0.208432081 0.463612659
#> 73 74 75 76 77 78
#> 0.112775087 0.124347944 0.285748825 0.213332089 0.013906186 0.049204304
#> 79 80 81 82 83 84
#> 0.124145818 0.451076321 0.221528412 0.123613556 0.190230783 0.099612555
#> 85 86 87 88 89 90
#> 0.770378972 0.793227433 0.010329013 0.048953782 0.310027367 0.095276705
#> 91 92 93 94 95 96
#> 0.397702705 0.517912121 0.553885691 0.453997476 0.263336004 0.327643048
#> 97 98 99 100 101 102
#> 0.101118938 0.109911781 0.374738442 0.695604337 0.335158073 0.541239275
#> 103 104 105 106 107 108
#> 0.207538276 0.011108215 0.438678578 0.728913606 0.070711612 0.097076708
#> 109 110 111 112 113 114
#> 0.573464690 0.765842549 0.752050286 0.933697317 0.499467278 0.262198824
#> 115 116 117 118 119 120
#> 0.511451135 0.740709289 0.845680494 0.834522310 0.342733213 0.223301108
#>
#> $`1960`
#> 1 2 3 4 5 6
#> 0.060499428 0.018961596 0.056329076 0.004703855 0.288643056 0.021723795
#> 7 8 9 10 11 12
#> 0.013703293 0.010165941 0.227803484 0.017794324 0.046043589 0.067095034
#> 13 14 15 16 17 18
#> 0.671508663 0.962001931 0.396885090 0.392074415 0.203903629 0.600537339
#> 19 20 21 22 23 24
#> 0.731640884 0.839862893 0.301154983 0.225923041 0.411174608 0.085250985
#> 25 26 27 28 29 30
#> 0.805630467 0.532418211 0.292184270 0.921257429 0.525725624 0.264305394
#> 31 32 33 34 35 36
#> 0.330406701 0.638144147 0.763898940 0.726109231 0.300384013 0.154019409
#> 37 38 39 40 41 42
#> 0.443707027 0.264620328 0.497661840 0.769669595 0.495086418 0.378178904
#> 43 44 45 46 47 48
#> 0.627248991 0.273669813 0.053783098 0.759692435 0.939456312 0.608037343
#> 49 50 51 52 53 54
#> 0.038087224 0.407710145 0.191085763 0.749794649 0.796031927 0.043814526
#> 55 56 57 58 59 60
#> 0.192632624 0.190927078 0.519511487 0.570496756 0.043941646 0.246100995
#> 61 62 63 64 65 66
#> 0.649896006 0.566158740 0.422092426 0.057898811 0.733128684 0.084228546
#> 67 68 69 70 71 72
#> 0.018800946 0.038855140 0.258580302 0.661813791 0.393307520 0.263453964
#> 73 74 75 76 77 78
#> 0.135678570 0.151031107 0.254437615 0.170458577 0.025882858 0.056722040
#> 79 80 81 82 83 84
#> 0.162922207 0.240768230 0.396669069 0.272272419 0.029556698 0.053508394
#> 85 86 87 88 89 90
#> 0.415543790 0.332871714 0.041126541 0.002000071 0.456230794 0.121220963
#> 91 92 93 94 95 96
#> 0.202976483 0.074051178 0.391454374 0.152815915 0.145643526 0.059938395
#> 97 98 99 100 101 102
#> 0.155999530 0.460591713 0.568274807 0.637567775 0.065385090 0.402244083
#> 103 104 105 106 107 108
#> 0.221395609 0.054319631 0.102601511 0.848377379 0.398413591 0.065100542
#> 109 110 111 112 113 114
#> 0.309528521 0.639316347 0.796010926 0.799516803 0.385606804 0.502543619
#> 115 116 117 118 119 120
#> 0.516932435 0.622828455 0.836200706 0.741291674 0.343191932 0.377383751
#>
#> $`1970`
#> 1 2 3 4 5 6
#> 0.025878232 0.047595607 0.112693775 0.002237434 0.028006311 0.033928264
#> 7 8 9 10 11 12
#> 0.038759776 0.099243058 0.203191144 0.017390380 0.027030358 0.116484020
#> 13 14 15 16 17 18
#> 0.792551422 0.928836304 0.799652546 0.353755590 0.342073432 0.497195206
#> 19 20 21 22 23 24
#> 0.829573879 0.787270408 0.934060237 0.422692185 0.897552190 0.362428243
#> 25 26 27 28 29 30
#> 0.528633708 0.749287315 0.846799168 0.654759324 0.273393697 0.418654473
#> 31 32 33 34 35 36
#> 0.365204546 0.698785362 0.792779516 0.403319202 0.157272577 0.335622270
#> 37 38 39 40 41 42
#> 0.440030320 0.308007166 0.708337163 0.851166801 0.648942537 0.625501286
#> 43 44 45 46 47 48
#> 0.076153589 0.019563909 0.289392333 0.402014545 0.925312805 0.600333258
#> 49 50 51 52 53 54
#> 0.359475370 0.093471077 0.125915872 0.358533593 0.311879081 0.327092727
#> 55 56 57 58 59 60
#> 0.064935197 0.112037173 0.151428606 0.820377264 0.028498158 0.091000355
#> 61 62 63 64 65 66
#> 0.579096955 0.741602212 0.493833125 0.242099897 0.644239989 0.033945070
#> 67 68 69 70 71 72
#> 0.003019020 0.042316312 0.614788054 0.509179418 0.389053778 0.751982092
#> 73 74 75 76 77 78
#> 0.037154800 0.082352154 0.066449262 0.178514468 0.044118015 0.025066060
#> 79 80 81 82 83 84
#> 0.137460514 0.317138329 0.346582169 0.166002740 0.067444371 0.086693696
#> 85 86 87 88 89 90
#> 0.202118381 0.886375811 0.076166047 0.089848132 0.558931434 0.204486631
#> 91 92 93 94 95 96
#> 0.057915497 0.282490641 0.318238723 0.388747368 0.217408770 0.166059587
#> 97 98 99 100 101 102
#> 0.029224419 0.086088428 0.049203955 0.557385869 0.345005755 0.265468321
#> 103 104 105 106 107 108
#> 0.147418567 0.006612725 0.065720468 0.559764445 0.052336197 0.012236853
#> 109 110 111 112 113 114
#> 0.268405489 0.801596287 0.685026572 0.236073716 0.037906772 0.302007390
#> 115 116 117 118 119 120
#> 0.406893587 0.606535848 0.870772810 0.969001428 0.478609279 0.517104497
#>
#> $`1980`
#> 1 2 3 4 5 6
#> 0.102221430 0.102665888 0.078385316 0.015525849 0.074167610 0.064845931
#> 7 8 9 10 11 12
#> 0.036215906 0.141994159 0.116634063 0.039351642 0.068581774 0.086786033
#> 13 14 15 16 17 18
#> 0.434222315 0.700545822 0.807637648 0.064368844 0.553285273 0.370599821
#> 19 20 21 22 23 24
#> 0.544101369 0.650992434 0.942860376 0.461942817 0.571165136 0.435408466
#> 25 26 27 28 29 30
#> 0.676893772 0.372441813 0.455591067 0.305269891 0.267628944 0.415053899
#> 31 32 33 34 35 36
#> 0.631256713 0.726776941 0.068220513 0.309182866 0.128582000 0.337191444
#> 37 38 39 40 41 42
#> 0.490495596 0.358218883 0.425731876 0.261517506 0.866876550 0.496484424
#> 43 44 45 46 47 48
#> 0.169003357 0.360468255 0.227866777 0.779837258 0.959574127 0.432882717
#> 49 50 51 52 53 54
#> 0.050964123 0.517332024 0.411420412 0.317211623 0.662438720 0.003746701
#> 55 56 57 58 59 60
#> 0.152617441 0.163289277 0.199051458 0.509982681 0.092491185 0.128072622
#> 61 62 63 64 65 66
#> 0.681338603 0.607734021 0.666470451 0.051724427 0.681165571 0.070075739
#> 67 68 69 70 71 72
#> 0.030685876 0.092453726 0.753744528 0.374809891 0.018883181 0.428714376
#> 73 74 75 76 77 78
#> 0.072686058 0.104790328 0.160892970 0.119644307 0.003938612 0.037265141
#> 79 80 81 82 83 84
#> 0.123344850 0.265239167 0.206538669 0.174591578 0.066746434 0.113270563
#> 85 86 87 88 89 90
#> 0.813030948 0.329378529 0.143458296 0.095815121 0.498223809 0.364841392
#> 91 92 93 94 95 96
#> 0.212250858 0.274736254 0.165164262 0.356008825 0.384441324 0.410948149
#> 97 98 99 100 101 102
#> 0.223268867 0.335416825 0.228429037 0.403133391 0.521966810 0.400744217
#> 103 104 105 106 107 108
#> 0.010834297 0.023003280 0.356100372 0.672335551 0.293062125 0.064946141
#> 109 110 111 112 113 114
#> 0.724763194 0.744075305 0.877362276 0.681021672 0.619348962 0.496292685
#> 115 116 117 118 119 120
#> 0.776590460 0.733985547 0.829267739 0.498456264 0.555212614 0.170756492
#>
#> $`1990`
#> 1 2 3 4 5 6
#> 0.088483025 0.016288793 0.073277745 0.038076995 0.126269234 0.041503951
#> 7 8 9 10 11 12
#> 0.034365413 0.081024733 0.154352033 0.009224013 0.083188835 0.084609443
#> 13 14 15 16 17 18
#> 0.510975671 0.951100944 0.964931399 0.510958439 0.653902191 0.473537805
#> 19 20 21 22 23 24
#> 0.806171228 0.785540272 0.096121823 0.430480155 0.698607125 0.393896551
#> 25 26 27 28 29 30
#> 0.094275838 0.587382535 0.755998177 0.877378451 0.506925085 0.325314546
#> 31 32 33 34 35 36
#> 0.561792474 0.723121194 0.426420107 0.650725118 0.222286215 0.102704894
#> 37 38 39 40 41 42
#> 0.389374541 0.415366326 0.574014576 0.529150473 0.858704646 0.342349401
#> 43 44 45 46 47 48
#> 0.715251361 0.231425029 0.196704852 0.187598023 0.772477087 0.501034050
#> 49 50 51 52 53 54
#> 0.476830196 0.537237295 0.262494529 0.147330246 0.847855054 0.101012504
#> 55 56 57 58 59 60
#> 0.205068160 0.305090193 0.258782027 0.709016327 0.447689899 0.246274213
#> 61 62 63 64 65 66
#> 0.431416706 0.230163892 0.067959451 0.185338687 0.136880049 0.040302779
#> 67 68 69 70 71 72
#> 0.058558313 0.031297510 0.113425432 0.178385430 0.010628615 0.623231015
#> 73 74 75 76 77 78
#> 0.161507625 0.233634035 0.376678428 0.004687426 0.061164320 0.127292291
#> 79 80 81 82 83 84
#> 0.246286836 0.350698168 0.278753042 0.070356975 0.010613556 0.145591464
#> 85 86 87 88 89 90
#> 0.757773704 0.283446474 0.094831339 0.216861387 0.605052840 0.320300301
#> 91 92 93 94 95 96
#> 0.457613704 0.370057175 0.404426975 0.452971887 0.313313179 0.286180696
#> 97 98 99 100 101 102
#> 0.001755563 0.463073056 0.467744777 0.712133284 0.460506540 0.324295207
#> 103 104 105 106 107 108
#> 0.129838793 0.127240180 0.323403092 0.635666117 0.192569535 0.026570620
#> 109 110 111 112 113 114
#> 0.096414142 0.649940479 0.771518067 0.858365924 0.489348042 0.474594135
#> 115 116 117 118 119 120
#> 0.608977258 0.726314238 0.929196822 0.212554830 0.422680013 0.663729294
#>
#> $`2000`
#> 1 2 3 4 5 6
#> 0.164741079 0.161140002 0.141465309 0.048054649 0.119222720 0.080119005
#> 7 8 9 10 11 12
#> 0.059911002 0.113448641 0.084329499 0.013902706 0.039660737 0.067271488
#> 13 14 15 16 17 18
#> 0.085155881 0.309159457 0.700515270 0.379588109 0.267369719 0.556009616
#> 19 20 21 22 23 24
#> 0.765381863 0.781702734 0.634753869 0.158011048 0.478945362 0.098453220
#> 25 26 27 28 29 30
#> 0.301000739 0.017145228 0.678088469 0.869899442 0.217150144 0.413802008
#> 31 32 33 34 35 36
#> 0.318994609 0.582212986 0.624009812 0.609337818 0.103171560 0.663530655
#> 37 38 39 40 41 42
#> 0.415218679 0.497724940 0.500870721 0.127956631 0.153508914 0.769112988
#> 43 44 45 46 47 48
#> 0.711738568 0.157856829 0.263867354 0.615515787 0.563047556 0.254334840
#> 49 50 51 52 53 54
#> 0.127382273 0.301820770 0.325647486 0.399319843 0.846257029 0.123250055
#> 55 56 57 58 59 60
#> 0.231268613 0.135402592 0.474647207 0.591950210 0.046238924 0.033440116
#> 61 62 63 64 65 66
#> 0.504035198 0.566257023 0.677515980 0.141342329 0.722172015 0.036256699
#> 67 68 69 70 71 72
#> 0.021762910 0.074151166 0.671056909 0.518424903 0.250653609 0.411623560
#> 73 74 75 76 77 78
#> 0.119410931 0.225074573 0.305320383 0.002364057 0.060421722 0.054552877
#> 79 80 81 82 83 84
#> 0.104330728 0.282683452 0.219570227 0.072422868 0.006541142 0.026651617
#> 85 86 87 88 89 90
#> 0.750575417 0.475302877 0.153681829 0.751929711 0.262882774 0.383660432
#> 91 92 93 94 95 96
#> 0.271631837 0.277761659 0.497603826 0.935449091 0.242886994 0.393958870
#> 97 98 99 100 101 102
#> 0.025265419 0.158939051 0.440637586 0.121290009 0.398343753 0.343888249
#> 103 104 105 106 107 108
#> 0.082323999 0.202775484 0.088331837 0.828980216 0.260697645 0.001340717
#> 109 110 111 112 113 114
#> 0.871974779 0.757885100 0.816079157 0.899363896 0.114329248 0.598297641
#> 115 116 117 118 119 120
#> 0.697042338 0.888841503 0.542364642 0.538251561 0.304215600 0.066321808
#>
#> $`2010`
#> 1 2 3 4 5 6
#> 0.072962335 0.053336034 0.064198142 0.017554157 0.052177346 0.049181832
#> 7 8 9 10 11 12
#> 0.058075954 0.069694620 0.030983020 0.010913150 0.070657203 0.076467952
#> 13 14 15 16 17 18
#> 0.404402133 0.910281867 0.485895416 0.314292437 0.230557980 0.409467520
#> 19 20 21 22 23 24
#> 0.840653993 0.699909181 0.570553113 0.749057868 0.319974308 0.173907818
#> 25 26 27 28 29 30
#> 0.324206105 0.053606637 0.893217887 0.944418611 0.124849146 0.364116236
#> 31 32 33 34 35 36
#> 0.458039773 0.582439687 0.705618384 0.389818295 0.132225462 0.404389696
#> 37 38 39 40 41 42
#> 0.434513718 0.046826509 0.414755291 0.560770078 0.049189228 0.768477688
#> 43 44 45 46 47 48
#> 0.697256912 0.307997216 0.247209216 0.856657835 0.910043573 0.660258390
#> 49 50 51 52 53 54
#> 0.007605343 0.154752642 0.567548497 0.895140321 0.218048191 0.057255604
#> 55 56 57 58 59 60
#> 0.033636291 0.116557704 0.449557606 0.783127394 0.214720763 0.149575795
#> 61 62 63 64 65 66
#> 0.289373239 0.765082601 0.253529706 0.226316134 0.005966895 0.036136279
#> 67 68 69 70 71 72
#> 0.035106551 0.019345964 0.554675518 0.349499516 0.114667742 0.220516750
#> 73 74 75 76 77 78
#> 0.092220497 0.093773392 0.087333118 0.007769313 0.002270097 0.044719833
#> 79 80 81 82 83 84
#> 0.105993832 0.257137982 0.140612036 0.028313567 0.030631505 0.055359947
#> 85 86 87 88 89 90
#> 0.935762762 0.082356139 0.058925638 0.485880563 0.438212077 0.539917042
#> 91 92 93 94 95 96
#> 0.330524541 0.574432957 0.251139610 0.551101509 0.354307454 0.395516961
#> 97 98 99 100 101 102
#> 0.191024329 0.432341057 0.452667291 0.148126152 0.052022591 0.233455921
#> 103 104 105 106 107 108
#> 0.145768512 0.015681579 0.038088748 0.347777631 0.087163167 0.019657156
#> 109 110 111 112 113 114
#> 0.807584441 0.528042783 0.731135071 0.881031915 0.014411555 0.394700865
#> 115 116 117 118 119 120
#> 0.635443073 0.816384900 0.812357562 0.719929923 0.366473221 0.248178246
#>
#> $`2020`
#> 1 2 3 4 5 6 7
#> 0.05259444 0.14852527 0.10015323 0.07743033 0.05232701 0.03122956 0.04160198
#> 8 9 10 11 12 13 14
#> 0.05010950 0.10443187 0.04009211 0.01072308 0.04005989 0.18742327 0.30594779
#> 15 16 17 18 19 20 21
#> 0.03176701 0.43045390 0.13668456 0.09568843 0.67240720 0.68705733 0.83620456
#> 22 23 24 25 26 27 28
#> 0.69317185 0.65425361 0.10460967 0.05974724 0.37821238 0.85489025 0.58447004
#> 29 30 31 32 33 34 35
#> 0.23490155 0.27375184 0.45852482 0.47946140 0.57908811 0.53154998 0.05459656
#> 36 37 38 39 40 41 42
#> 0.28487328 0.37078226 0.22387021 0.40476458 0.61198086 0.74054872 0.63076832
#> 43 44 45 46 47 48 49
#> 0.76254819 0.55147972 0.31859377 0.87930200 0.68125736 0.50485975 0.25148614
#> 50 51 52 53 54 55 56
#> 0.40440403 0.17191401 0.73498157 0.49306386 0.14785562 0.08800155 0.17110704
#> 57 58 59 60 61 62 63
#> 0.47278607 0.66627381 0.21137850 0.05079902 0.19176583 0.22713882 0.27276147
#> 64 65 66 67 68 69 70
#> 0.24212634 0.68859875 0.03462458 0.02257600 0.16896710 0.62940177 0.18557097
#> 71 72 73 74 75 76 77
#> 0.29648063 0.50636365 0.02693161 0.17227247 0.07831390 0.13730714 0.01769318
#> 78 79 80 81 82 83 84
#> 0.01391310 0.09199678 0.25426887 0.26384462 0.26394779 0.03801322 0.05413875
#> 85 86 87 88 89 90 91
#> 0.66328552 0.67198819 0.29222360 0.01155712 0.69077427 0.50051805 0.16226909
#> 92 93 94 95 96 97 98
#> 0.39147082 0.61446740 0.27477097 0.11739605 0.11816590 0.07481505 0.36807143
#> 99 100 101 102 103 104 105
#> 0.32100968 0.07039846 0.22869381 0.24433082 0.13064224 0.03949532 0.07186804
#> 106 107 108 109 110 111 112
#> 0.89737437 0.28778021 0.03224334 0.46371343 0.52007709 0.87300925 0.88940864
#> 113 114 115 116 117 118 119
#> 0.31988056 0.40797130 0.65332134 0.75136809 0.82957851 0.78105957 0.26858419
#> 120
#> 0.06873887
#>