R/alltransf.R
alltransf.RdComputes all the chosen transformations to the input data frame in the chosen parameters.
alltransf(data, subset, select = colnames(data), transf = c("rsqrt", "log", "sqrt"))
| data | A data frame |
|---|---|
| subset | a specification of the rows to be used: defaults to all rows.
This can be any valid indexing vector (see [.data.frame) for the
rows of data or if that is not supplied, a data frame made up of the
variables used in |
| select | expression, indicating columns to select from a data frame. Defaults for all the variables in data. See subset. |
| transf | The chosen transformations to be applied to the data |
A list with all data transformed according to the arguments passed.help
vars <- colnames(centro_2015@data) alltransf(centro_2015@data, select = vars)#> $identity #> valor area_total quartos suites garagens dist_b_mar #> 1 1060000 350.00 3 1 2 720 #> 2 510000 136.56 3 1 1 665 #> 3 780000 164.77 3 1 2 415 #> 4 550000 174.58 3 1 1 320 #> 5 850000 123.01 3 1 3 895 #> 6 300000 89.83 2 0 1 645 #> 7 750000 174.00 2 1 2 860 #> 8 650000 123.00 3 1 1 745 #> 9 620000 121.00 3 1 1 745 #> 10 740000 109.00 3 1 1 300 #> 11 770000 170.00 3 1 2 590 #> 12 680000 141.00 3 1 1 290 #> 13 850000 174.00 3 1 1 465 #> 14 420000 105.00 3 1 0 60 #> 15 547000 128.00 3 1 1 745 #> 16 1600000 163.00 4 2 2 90 #> 17 1320000 230.00 3 1 2 215 #> 18 615000 108.00 3 1 1 745 #> 19 705000 174.00 2 1 2 900 #> 20 418000 85.00 1 0 1 620 #> 21 270000 71.00 2 0 0 1380 #> 22 418000 100.00 1 1 1 620 #> 23 650000 90.00 2 1 1 215 #> 24 700000 161.00 2 1 2 500 #> 25 680000 174.00 2 1 2 860 #> 26 420000 76.00 2 1 1 700 #> 27 195000 48.00 1 0 0 730 #> 28 290000 66.00 1 0 1 745 #> 29 272000 50.00 1 0 1 1430 #> 30 430000 61.00 2 0 1 170 #> 31 895000 109.00 3 1 1 530 #> 32 450000 89.00 2 0 1 745 #> 33 1950000 393.00 3 1 3 550 #> 34 2150000 578.00 3 2 3 260 #> 35 940000 182.00 3 1 2 200 #> 36 1400000 262.00 4 1 1 60 #> 37 1090000 205.00 3 0 3 465 #> 38 1272000 196.00 3 3 2 610 #> 39 2800000 463.00 3 3 3 590 #> 40 1796000 273.00 3 3 4 140 #> 41 1400000 330.00 4 2 2 655 #> 42 3000000 533.00 4 3 4 427 #> 43 1200000 221.00 3 3 2 607 #> 44 800000 220.00 3 1 1 1000 #> 45 950000 127.00 2 1 1 60 #> 46 2061000 362.00 3 3 4 310 #> 47 1326000 315.00 3 3 3 600 #> 48 850000 151.00 3 1 2 660 #> 49 1650000 246.00 3 3 3 307 #> 50 650000 159.72 3 1 1 120 #> #> $rsqrt #> valor area_total quartos suites garagens dist_b_mar #> 1 0.0009712859 0.05345225 0.5773503 1.0000000 0.7071068 0.03726780 #> 2 0.0014002801 0.08557329 0.5773503 1.0000000 1.0000000 0.03877834 #> 3 0.0011322770 0.07790421 0.5773503 1.0000000 0.7071068 0.04908807 #> 4 0.0013483997 0.07568377 0.5773503 1.0000000 1.0000000 0.05590170 #> 5 0.0010846523 0.09016330 0.5773503 1.0000000 0.5773503 0.03342631 #> 6 0.0018257419 0.10550895 0.7071068 Inf 1.0000000 0.03937496 #> 7 0.0011547005 0.07580980 0.7071068 1.0000000 0.7071068 0.03409972 #> 8 0.0012403473 0.09016696 0.5773503 1.0000000 1.0000000 0.03663717 #> 9 0.0012700013 0.09090909 0.5773503 1.0000000 1.0000000 0.03663717 #> 10 0.0011624764 0.09578263 0.5773503 1.0000000 1.0000000 0.05773503 #> 11 0.0011396058 0.07669650 0.5773503 1.0000000 0.7071068 0.04116935 #> 12 0.0012126781 0.08421519 0.5773503 1.0000000 1.0000000 0.05872202 #> 13 0.0010846523 0.07580980 0.5773503 1.0000000 1.0000000 0.04637389 #> 14 0.0015430335 0.09759001 0.5773503 1.0000000 Inf 0.12909944 #> 15 0.0013520923 0.08838835 0.5773503 1.0000000 1.0000000 0.03663717 #> 16 0.0007905694 0.07832604 0.5000000 0.7071068 0.7071068 0.10540926 #> 17 0.0008703883 0.06593805 0.5773503 1.0000000 0.7071068 0.06819943 #> 18 0.0012751534 0.09622504 0.5773503 1.0000000 1.0000000 0.03663717 #> 19 0.0011909827 0.07580980 0.7071068 1.0000000 0.7071068 0.03333333 #> 20 0.0015467206 0.10846523 1.0000000 Inf 1.0000000 0.04016097 #> 21 0.0019245009 0.11867817 0.7071068 Inf Inf 0.02691910 #> 22 0.0015467206 0.10000000 1.0000000 1.0000000 1.0000000 0.04016097 #> 23 0.0012403473 0.10540926 0.7071068 1.0000000 1.0000000 0.06819943 #> 24 0.0011952286 0.07881104 0.7071068 1.0000000 0.7071068 0.04472136 #> 25 0.0012126781 0.07580980 0.7071068 1.0000000 0.7071068 0.03409972 #> 26 0.0015430335 0.11470787 0.7071068 1.0000000 1.0000000 0.03779645 #> 27 0.0022645541 0.14433757 1.0000000 Inf Inf 0.03701166 #> 28 0.0018569534 0.12309149 1.0000000 Inf 1.0000000 0.03663717 #> 29 0.0019174125 0.14142136 1.0000000 Inf 1.0000000 0.02644429 #> 30 0.0015249857 0.12803688 0.7071068 Inf 1.0000000 0.07669650 #> 31 0.0010570328 0.09578263 0.5773503 1.0000000 1.0000000 0.04343722 #> 32 0.0014907120 0.10599979 0.7071068 Inf 1.0000000 0.03663717 #> 33 0.0007161149 0.05044333 0.5773503 1.0000000 0.5773503 0.04264014 #> 34 0.0006819943 0.04159452 0.5773503 0.7071068 0.5773503 0.06201737 #> 35 0.0010314212 0.07412493 0.5773503 1.0000000 0.7071068 0.07071068 #> 36 0.0008451543 0.06178021 0.5000000 1.0000000 1.0000000 0.12909944 #> 37 0.0009578263 0.06984303 0.5773503 Inf 0.5773503 0.04637389 #> 38 0.0008866586 0.07142857 0.5773503 0.5773503 0.7071068 0.04048882 #> 39 0.0005976143 0.04647394 0.5773503 0.5773503 0.5773503 0.04116935 #> 40 0.0007461855 0.06052275 0.5773503 0.5773503 0.5000000 0.08451543 #> 41 0.0008451543 0.05504819 0.5000000 0.7071068 0.7071068 0.03907323 #> 42 0.0005773503 0.04331481 0.5000000 0.5773503 0.5000000 0.04839339 #> 43 0.0009128709 0.06726728 0.5773503 0.5773503 0.7071068 0.04058875 #> 44 0.0011180340 0.06741999 0.5773503 1.0000000 1.0000000 0.03162278 #> 45 0.0010259784 0.08873565 0.7071068 1.0000000 1.0000000 0.12909944 #> 46 0.0006965640 0.05255883 0.5773503 0.5773503 0.5000000 0.05679618 #> 47 0.0008684168 0.05634362 0.5773503 0.5773503 0.5773503 0.04082483 #> 48 0.0010846523 0.08137885 0.5773503 1.0000000 0.7071068 0.03892495 #> 49 0.0007784989 0.06375767 0.5773503 0.5773503 0.5773503 0.05707301 #> 50 0.0012403473 0.07912621 0.5773503 1.0000000 1.0000000 0.09128709 #> #> $log #> valor area_total quartos suites garagens dist_b_mar #> 1 13.87378 5.857933 1.0986123 0.0000000 0.6931472 6.579251 #> 2 13.14217 4.916764 1.0986123 0.0000000 0.0000000 6.499787 #> 3 13.56705 5.104551 1.0986123 0.0000000 0.6931472 6.028279 #> 4 13.21767 5.162383 1.0986123 0.0000000 0.0000000 5.768321 #> 5 13.65299 4.812266 1.0986123 0.0000000 1.0986123 6.796824 #> 6 12.61154 4.497919 0.6931472 -Inf 0.0000000 6.469250 #> 7 13.52783 5.159055 0.6931472 0.0000000 0.6931472 6.756932 #> 8 13.38473 4.812184 1.0986123 0.0000000 0.0000000 6.613384 #> 9 13.33747 4.795791 1.0986123 0.0000000 0.0000000 6.613384 #> 10 13.51441 4.691348 1.0986123 0.0000000 0.0000000 5.703782 #> 11 13.55415 5.135798 1.0986123 0.0000000 0.6931472 6.380123 #> 12 13.42985 4.948760 1.0986123 0.0000000 0.0000000 5.669881 #> 13 13.65299 5.159055 1.0986123 0.0000000 0.0000000 6.142037 #> 14 12.94801 4.653960 1.0986123 0.0000000 -Inf 4.094345 #> 15 13.21220 4.852030 1.0986123 0.0000000 0.0000000 6.613384 #> 16 14.28551 5.093750 1.3862944 0.6931472 0.6931472 4.499810 #> 17 14.09314 5.438079 1.0986123 0.0000000 0.6931472 5.370638 #> 18 13.32938 4.682131 1.0986123 0.0000000 0.0000000 6.613384 #> 19 13.46595 5.159055 0.6931472 0.0000000 0.6931472 6.802395 #> 20 12.94324 4.442651 0.0000000 -Inf 0.0000000 6.429719 #> 21 12.50618 4.262680 0.6931472 -Inf -Inf 7.229839 #> 22 12.94324 4.605170 0.0000000 0.0000000 0.0000000 6.429719 #> 23 13.38473 4.499810 0.6931472 0.0000000 0.0000000 5.370638 #> 24 13.45884 5.081404 0.6931472 0.0000000 0.6931472 6.214608 #> 25 13.42985 5.159055 0.6931472 0.0000000 0.6931472 6.756932 #> 26 12.94801 4.330733 0.6931472 0.0000000 0.0000000 6.551080 #> 27 12.18075 3.871201 0.0000000 -Inf -Inf 6.593045 #> 28 12.57764 4.189655 0.0000000 -Inf 0.0000000 6.613384 #> 29 12.51356 3.912023 0.0000000 -Inf 0.0000000 7.265430 #> 30 12.97154 4.110874 0.6931472 -Inf 0.0000000 5.135798 #> 31 13.70458 4.691348 1.0986123 0.0000000 0.0000000 6.272877 #> 32 13.01700 4.488636 0.6931472 -Inf 0.0000000 6.613384 #> 33 14.48334 5.973810 1.0986123 0.0000000 1.0986123 6.309918 #> 34 14.58098 6.359574 1.0986123 0.6931472 1.0986123 5.560682 #> 35 13.75364 5.204007 1.0986123 0.0000000 0.6931472 5.298317 #> 36 14.15198 5.568345 1.3862944 0.0000000 0.0000000 4.094345 #> 37 13.90169 5.323010 1.0986123 -Inf 1.0986123 6.142037 #> 38 14.05610 5.278115 1.0986123 1.0986123 0.6931472 6.413459 #> 39 14.84513 6.137727 1.0986123 1.0986123 1.0986123 6.380123 #> 40 14.40107 5.609472 1.0986123 1.0986123 1.3862944 4.941642 #> 41 14.15198 5.799093 1.3862944 0.6931472 0.6931472 6.484635 #> 42 14.91412 6.278521 1.3862944 1.0986123 1.3862944 6.056784 #> 43 13.99783 5.398163 1.0986123 1.0986123 0.6931472 6.408529 #> 44 13.59237 5.393628 1.0986123 0.0000000 0.0000000 6.907755 #> 45 13.76422 4.844187 0.6931472 0.0000000 0.0000000 4.094345 #> 46 14.53870 5.891644 1.0986123 1.0986123 1.3862944 5.736572 #> 47 14.09768 5.752573 1.0986123 1.0986123 1.0986123 6.396930 #> 48 13.65299 5.017280 1.0986123 0.0000000 0.6931472 6.492240 #> 49 14.31629 5.505332 1.0986123 1.0986123 1.0986123 5.726848 #> 50 13.38473 5.073422 1.0986123 0.0000000 0.0000000 4.787492 #> #> $sqrt #> valor area_total quartos suites garagens dist_b_mar #> 1 1029.5630 18.708287 1.732051 1.000000 1.414214 26.832816 #> 2 714.1428 11.685889 1.732051 1.000000 1.000000 25.787594 #> 3 883.1761 12.836277 1.732051 1.000000 1.414214 20.371549 #> 4 741.6198 13.212873 1.732051 1.000000 1.000000 17.888544 #> 5 921.9544 11.090987 1.732051 1.000000 1.732051 29.916551 #> 6 547.7226 9.477869 1.414214 0.000000 1.000000 25.396850 #> 7 866.0254 13.190906 1.414214 1.000000 1.414214 29.325757 #> 8 806.2258 11.090537 1.732051 1.000000 1.000000 27.294688 #> 9 787.4008 11.000000 1.732051 1.000000 1.000000 27.294688 #> 10 860.2325 10.440307 1.732051 1.000000 1.000000 17.320508 #> 11 877.4964 13.038405 1.732051 1.000000 1.414214 24.289916 #> 12 824.6211 11.874342 1.732051 1.000000 1.000000 17.029386 #> 13 921.9544 13.190906 1.732051 1.000000 1.000000 21.563859 #> 14 648.0741 10.246951 1.732051 1.000000 0.000000 7.745967 #> 15 739.5945 11.313708 1.732051 1.000000 1.000000 27.294688 #> 16 1264.9111 12.767145 2.000000 1.414214 1.414214 9.486833 #> 17 1148.9125 15.165751 1.732051 1.000000 1.414214 14.662878 #> 18 784.2194 10.392305 1.732051 1.000000 1.000000 27.294688 #> 19 839.6428 13.190906 1.414214 1.000000 1.414214 30.000000 #> 20 646.5292 9.219544 1.000000 0.000000 1.000000 24.899799 #> 21 519.6152 8.426150 1.414214 0.000000 0.000000 37.148351 #> 22 646.5292 10.000000 1.000000 1.000000 1.000000 24.899799 #> 23 806.2258 9.486833 1.414214 1.000000 1.000000 14.662878 #> 24 836.6600 12.688578 1.414214 1.000000 1.414214 22.360680 #> 25 824.6211 13.190906 1.414214 1.000000 1.414214 29.325757 #> 26 648.0741 8.717798 1.414214 1.000000 1.000000 26.457513 #> 27 441.5880 6.928203 1.000000 0.000000 0.000000 27.018512 #> 28 538.5165 8.124038 1.000000 0.000000 1.000000 27.294688 #> 29 521.5362 7.071068 1.000000 0.000000 1.000000 37.815341 #> 30 655.7439 7.810250 1.414214 0.000000 1.000000 13.038405 #> 31 946.0444 10.440307 1.732051 1.000000 1.000000 23.021729 #> 32 670.8204 9.433981 1.414214 0.000000 1.000000 27.294688 #> 33 1396.4240 19.824228 1.732051 1.000000 1.732051 23.452079 #> 34 1466.2878 24.041631 1.732051 1.414214 1.732051 16.124515 #> 35 969.5360 13.490738 1.732051 1.000000 1.414214 14.142136 #> 36 1183.2160 16.186414 2.000000 1.000000 1.000000 7.745967 #> 37 1044.0307 14.317821 1.732051 0.000000 1.732051 21.563859 #> 38 1127.8298 14.000000 1.732051 1.732051 1.414214 24.698178 #> 39 1673.3201 21.517435 1.732051 1.732051 1.732051 24.289916 #> 40 1340.1492 16.522712 1.732051 1.732051 2.000000 11.832160 #> 41 1183.2160 18.165902 2.000000 1.414214 1.414214 25.592968 #> 42 1732.0508 23.086793 2.000000 1.732051 2.000000 20.663978 #> 43 1095.4451 14.866069 1.732051 1.732051 1.414214 24.637370 #> 44 894.4272 14.832397 1.732051 1.000000 1.000000 31.622777 #> 45 974.6794 11.269428 1.414214 1.000000 1.000000 7.745967 #> 46 1435.6183 19.026298 1.732051 1.732051 2.000000 17.606817 #> 47 1151.5207 17.748239 1.732051 1.732051 1.732051 24.494897 #> 48 921.9544 12.288206 1.732051 1.000000 1.414214 25.690465 #> 49 1284.5233 15.684387 1.732051 1.732051 1.732051 17.521415 #> 50 806.2258 12.638038 1.732051 1.000000 1.000000 10.954451 #>alltransf(centro_2015@data, 1:10, c("valor", "area_total"))#> $identity #> valor area_total #> 1 1060000 350.00 #> 2 510000 136.56 #> 3 780000 164.77 #> 4 550000 174.58 #> 5 850000 123.01 #> 6 300000 89.83 #> 7 750000 174.00 #> 8 650000 123.00 #> 9 620000 121.00 #> 10 740000 109.00 #> #> $rsqrt #> valor area_total #> 1 0.0009712859 0.05345225 #> 2 0.0014002801 0.08557329 #> 3 0.0011322770 0.07790421 #> 4 0.0013483997 0.07568377 #> 5 0.0010846523 0.09016330 #> 6 0.0018257419 0.10550895 #> 7 0.0011547005 0.07580980 #> 8 0.0012403473 0.09016696 #> 9 0.0012700013 0.09090909 #> 10 0.0011624764 0.09578263 #> #> $log #> valor area_total #> 1 13.87378 5.857933 #> 2 13.14217 4.916764 #> 3 13.56705 5.104551 #> 4 13.21767 5.162383 #> 5 13.65299 4.812266 #> 6 12.61154 4.497919 #> 7 13.52783 5.159055 #> 8 13.38473 4.812184 #> 9 13.33747 4.795791 #> 10 13.51441 4.691348 #> #> $sqrt #> valor area_total #> 1 1029.5630 18.708287 #> 2 714.1428 11.685889 #> 3 883.1761 12.836277 #> 4 741.6198 13.212873 #> 5 921.9544 11.090987 #> 6 547.7226 9.477869 #> 7 866.0254 13.190906 #> 8 806.2258 11.090537 #> 9 787.4008 11.000000 #> 10 860.2325 10.440307 #>vars <- colnames(itacorubi_2015@data) alltransf(itacorubi_2015@data, select = vars)#> $identity #> valor area_total area_privativa quartos suites garagens #> 1 577000 130 94.00 3 1 2 #> 2 480000 133 90.00 2 1 2 #> 3 650000 170 139.00 2 1 2 #> 4 450000 142 70.00 2 1 2 #> 5 440000 141 68.00 2 1 2 #> 6 815277 241 115.00 3 3 2 #> 7 436422 145 65.00 2 1 2 #> 8 881910 180 128.00 4 1 2 #> 9 498000 125 74.00 2 1 2 #> 10 430000 86 75.00 3 1 1 #> 11 1280000 301 168.00 4 1 3 #> 12 560000 205 146.00 3 2 1 #> 13 660000 145 103.00 3 1 2 #> 14 510600 156 65.00 2 1 2 #> 15 657000 129 94.00 3 1 2 #> 16 697000 176 88.00 3 1 2 #> 17 570000 93 70.00 2 1 2 #> 18 728030 219 105.00 3 1 2 #> 19 490000 86 74.00 2 1 1 #> 20 410000 84 74.00 3 1 2 #> 21 690000 286 194.00 3 1 3 #> 22 499500 86 72.00 3 1 2 #> 23 230000 53 38.00 1 1 1 #> 24 339200 70 49.00 1 1 1 #> 25 1490000 345 253.00 3 3 2 #> 26 490000 113 96.00 2 1 2 #> 27 780000 217 89.00 3 1 4 #> 28 470000 166 151.00 3 1 1 #> 29 440000 105 85.00 3 1 1 #> 30 390000 110 70.00 2 1 1 #> 31 365000 90 73.00 2 1 1 #> 32 595000 168 144.00 2 1 2 #> 33 635000 138 116.00 3 1 1 #> 34 1350000 225 180.00 4 2 3 #> 35 470000 187 77.00 2 2 2 #> 36 415000 90 69.00 2 1 2 #> 37 450000 100 80.00 2 1 2 #> 38 450000 95 80.00 2 1 1 #> 39 385000 78 78.00 2 1 1 #> 40 380000 75 75.00 2 1 1 #> 41 350000 102 69.00 2 1 1 #> 42 575000 118 93.00 3 1 2 #> 43 760000 143 120.00 3 1 2 #> 44 1050000 190 161.00 3 1 2 #> 45 259767 70 65.28 2 1 2 #> 46 900000 193 116.00 4 1 2 #> 47 1380000 301 165.00 4 2 3 #> 48 806388 207 122.00 4 1 2 #> 49 1487000 207 167.00 3 3 3 #> 50 864007 250 231.00 4 3 2 #> 51 1050000 180 166.00 3 3 2 #> 52 935422 246 122.00 4 2 3 #> 53 270000 64 50.00 1 0 1 #> 54 290000 67 51.00 1 0 1 #> 55 230000 52 43.00 1 0 1 #> 56 210000 71 45.00 1 0 1 #> 57 350000 60 48.00 1 1 1 #> 58 288000 80 56.00 2 0 1 #> 59 247000 65 53.00 2 0 1 #> 60 300000 78 66.00 2 0 1 #> 61 255000 65 52.00 2 0 1 #> 62 255000 66 58.00 3 0 1 #> 63 600000 168 144.00 2 1 2 #> #> $rsqrt #> valor area_total area_privativa quartos suites garagens #> 1 0.0013164734 0.08770580 0.10314212 0.5773503 1.0000000 0.7071068 #> 2 0.0014433757 0.08671100 0.10540926 0.7071068 1.0000000 0.7071068 #> 3 0.0012403473 0.07669650 0.08481889 0.7071068 1.0000000 0.7071068 #> 4 0.0014907120 0.08391814 0.11952286 0.7071068 1.0000000 0.7071068 #> 5 0.0015075567 0.08421519 0.12126781 0.7071068 1.0000000 0.7071068 #> 6 0.0011075094 0.06441566 0.09325048 0.5773503 0.5773503 0.7071068 #> 7 0.0015137240 0.08304548 0.12403473 0.7071068 1.0000000 0.7071068 #> 8 0.0010648486 0.07453560 0.08838835 0.5000000 1.0000000 0.7071068 #> 9 0.0014170505 0.08944272 0.11624764 0.7071068 1.0000000 0.7071068 #> 10 0.0015249857 0.10783277 0.11547005 0.5773503 1.0000000 1.0000000 #> 11 0.0008838835 0.05763904 0.07715167 0.5000000 1.0000000 0.5773503 #> 12 0.0013363062 0.06984303 0.08276059 0.5773503 0.7071068 1.0000000 #> 13 0.0012309149 0.08304548 0.09853293 0.5773503 1.0000000 0.7071068 #> 14 0.0013994571 0.08006408 0.12403473 0.7071068 1.0000000 0.7071068 #> 15 0.0012337220 0.08804509 0.10314212 0.5773503 1.0000000 0.7071068 #> 16 0.0011977981 0.07537784 0.10660036 0.5773503 1.0000000 0.7071068 #> 17 0.0013245324 0.10369517 0.11952286 0.7071068 1.0000000 0.7071068 #> 18 0.0011719939 0.06757374 0.09759001 0.5773503 1.0000000 0.7071068 #> 19 0.0014285714 0.10783277 0.11624764 0.7071068 1.0000000 1.0000000 #> 20 0.0015617376 0.10910895 0.11624764 0.5773503 1.0000000 0.7071068 #> 21 0.0012038585 0.05913124 0.07179582 0.5773503 1.0000000 0.5773503 #> 22 0.0014149212 0.10783277 0.11785113 0.5773503 1.0000000 0.7071068 #> 23 0.0020851441 0.13736056 0.16222142 1.0000000 1.0000000 1.0000000 #> 24 0.0017170070 0.11952286 0.14285714 1.0000000 1.0000000 1.0000000 #> 25 0.0008192319 0.05383819 0.06286946 0.5773503 0.5773503 0.7071068 #> 26 0.0014285714 0.09407209 0.10206207 0.7071068 1.0000000 0.7071068 #> 27 0.0011322770 0.06788442 0.10599979 0.5773503 1.0000000 0.5000000 #> 28 0.0014586499 0.07761505 0.08137885 0.5773503 1.0000000 1.0000000 #> 29 0.0015075567 0.09759001 0.10846523 0.5773503 1.0000000 1.0000000 #> 30 0.0016012815 0.09534626 0.11952286 0.7071068 1.0000000 1.0000000 #> 31 0.0016552118 0.10540926 0.11704115 0.7071068 1.0000000 1.0000000 #> 32 0.0012964074 0.07715167 0.08333333 0.7071068 1.0000000 0.7071068 #> 33 0.0012549116 0.08512565 0.09284767 0.5773503 1.0000000 1.0000000 #> 34 0.0008606630 0.06666667 0.07453560 0.5000000 0.7071068 0.5773503 #> 35 0.0014586499 0.07312724 0.11396058 0.7071068 0.7071068 0.7071068 #> 36 0.0015523011 0.10540926 0.12038585 0.7071068 1.0000000 0.7071068 #> 37 0.0014907120 0.10000000 0.11180340 0.7071068 1.0000000 0.7071068 #> 38 0.0014907120 0.10259784 0.11180340 0.7071068 1.0000000 1.0000000 #> 39 0.0016116459 0.11322770 0.11322770 0.7071068 1.0000000 1.0000000 #> 40 0.0016222142 0.11547005 0.11547005 0.7071068 1.0000000 1.0000000 #> 41 0.0016903085 0.09901475 0.12038585 0.7071068 1.0000000 1.0000000 #> 42 0.0013187609 0.09205746 0.10369517 0.5773503 1.0000000 0.7071068 #> 43 0.0011470787 0.08362420 0.09128709 0.5773503 1.0000000 0.7071068 #> 44 0.0009759001 0.07254763 0.07881104 0.5773503 1.0000000 0.7071068 #> 45 0.0019620407 0.11952286 0.12376844 0.7071068 1.0000000 0.7071068 #> 46 0.0010540926 0.07198158 0.09284767 0.5000000 1.0000000 0.7071068 #> 47 0.0008512565 0.05763904 0.07784989 0.5000000 0.7071068 0.5773503 #> 48 0.0011135968 0.06950480 0.09053575 0.5000000 1.0000000 0.7071068 #> 49 0.0008200579 0.06950480 0.07738232 0.5773503 0.5773503 0.5773503 #> 50 0.0010758243 0.06324555 0.06579517 0.5000000 0.5773503 0.7071068 #> 51 0.0009759001 0.07453560 0.07761505 0.5773503 0.5773503 0.7071068 #> 52 0.0010339421 0.06375767 0.09053575 0.5000000 0.7071068 0.5773503 #> 53 0.0019245009 0.12500000 0.14142136 1.0000000 Inf 1.0000000 #> 54 0.0018569534 0.12216944 0.14002801 1.0000000 Inf 1.0000000 #> 55 0.0020851441 0.13867505 0.15249857 1.0000000 Inf 1.0000000 #> 56 0.0021821789 0.11867817 0.14907120 1.0000000 Inf 1.0000000 #> 57 0.0016903085 0.12909944 0.14433757 1.0000000 1.0000000 1.0000000 #> 58 0.0018633900 0.11180340 0.13363062 0.7071068 Inf 1.0000000 #> 59 0.0020121091 0.12403473 0.13736056 0.7071068 Inf 1.0000000 #> 60 0.0018257419 0.11322770 0.12309149 0.7071068 Inf 1.0000000 #> 61 0.0019802951 0.12403473 0.13867505 0.7071068 Inf 1.0000000 #> 62 0.0019802951 0.12309149 0.13130643 0.5773503 Inf 1.0000000 #> 63 0.0012909944 0.07715167 0.08333333 0.7071068 1.0000000 0.7071068 #> #> $log #> valor area_total area_privativa quartos suites garagens #> 1 13.26560 4.867534 4.543295 1.0986123 0.0000000 0.6931472 #> 2 13.08154 4.890349 4.499810 0.6931472 0.0000000 0.6931472 #> 3 13.38473 5.135798 4.934474 0.6931472 0.0000000 0.6931472 #> 4 13.01700 4.955827 4.248495 0.6931472 0.0000000 0.6931472 #> 5 12.99453 4.948760 4.219508 0.6931472 0.0000000 0.6931472 #> 6 13.61128 5.484797 4.744932 1.0986123 1.0986123 0.6931472 #> 7 12.98636 4.976734 4.174387 0.6931472 0.0000000 0.6931472 #> 8 13.68985 5.192957 4.852030 1.3862944 0.0000000 0.6931472 #> 9 13.11836 4.828314 4.304065 0.6931472 0.0000000 0.6931472 #> 10 12.97154 4.454347 4.317488 1.0986123 0.0000000 0.0000000 #> 11 14.06237 5.707110 5.123964 1.3862944 0.0000000 1.0986123 #> 12 13.23569 5.323010 4.983607 1.0986123 0.6931472 0.0000000 #> 13 13.40000 4.976734 4.634729 1.0986123 0.0000000 0.6931472 #> 14 13.14334 5.049856 4.174387 0.6931472 0.0000000 0.6931472 #> 15 13.39544 4.859812 4.543295 1.0986123 0.0000000 0.6931472 #> 16 13.45454 5.170484 4.477337 1.0986123 0.0000000 0.6931472 #> 17 13.25339 4.532599 4.248495 0.6931472 0.0000000 0.6931472 #> 18 13.49810 5.389072 4.653960 1.0986123 0.0000000 0.6931472 #> 19 13.10216 4.454347 4.304065 0.6931472 0.0000000 0.0000000 #> 20 12.92391 4.430817 4.304065 1.0986123 0.0000000 0.6931472 #> 21 13.44445 5.655992 5.267858 1.0986123 0.0000000 1.0986123 #> 22 13.12136 4.454347 4.276666 1.0986123 0.0000000 0.6931472 #> 23 12.34583 3.970292 3.637586 0.0000000 0.0000000 0.0000000 #> 24 12.73435 4.248495 3.891820 0.0000000 0.0000000 0.0000000 #> 25 14.21429 5.843544 5.533389 1.0986123 1.0986123 0.6931472 #> 26 13.10216 4.727388 4.564348 0.6931472 0.0000000 0.6931472 #> 27 13.56705 5.379897 4.488636 1.0986123 0.0000000 1.3862944 #> 28 13.06049 5.111988 5.017280 1.0986123 0.0000000 0.0000000 #> 29 12.99453 4.653960 4.442651 1.0986123 0.0000000 0.0000000 #> 30 12.87390 4.700480 4.248495 0.6931472 0.0000000 0.0000000 #> 31 12.80765 4.499810 4.290459 0.6931472 0.0000000 0.0000000 #> 32 13.29632 5.123964 4.969813 0.6931472 0.0000000 0.6931472 #> 33 13.36138 4.927254 4.753590 1.0986123 0.0000000 0.0000000 #> 34 14.11562 5.416100 5.192957 1.3862944 0.6931472 1.0986123 #> 35 13.06049 5.231109 4.343805 0.6931472 0.6931472 0.6931472 #> 36 12.93603 4.499810 4.234107 0.6931472 0.0000000 0.6931472 #> 37 13.01700 4.605170 4.382027 0.6931472 0.0000000 0.6931472 #> 38 13.01700 4.553877 4.382027 0.6931472 0.0000000 0.0000000 #> 39 12.86100 4.356709 4.356709 0.6931472 0.0000000 0.0000000 #> 40 12.84793 4.317488 4.317488 0.6931472 0.0000000 0.0000000 #> 41 12.76569 4.624973 4.234107 0.6931472 0.0000000 0.0000000 #> 42 13.26213 4.770685 4.532599 1.0986123 0.0000000 0.6931472 #> 43 13.54107 4.962845 4.787492 1.0986123 0.0000000 0.6931472 #> 44 13.86430 5.247024 5.081404 1.0986123 0.0000000 0.6931472 #> 45 12.46754 4.248495 4.178686 0.6931472 0.0000000 0.6931472 #> 46 13.71015 5.262690 4.753590 1.3862944 0.0000000 0.6931472 #> 47 14.13759 5.707110 5.105945 1.3862944 0.6931472 1.0986123 #> 48 13.60032 5.332719 4.804021 1.3862944 0.0000000 0.6931472 #> 49 14.21227 5.332719 5.117994 1.0986123 1.0986123 1.0986123 #> 50 13.66934 5.521461 5.442418 1.3862944 1.0986123 0.6931472 #> 51 13.86430 5.192957 5.111988 1.0986123 1.0986123 0.6931472 #> 52 13.74875 5.505332 4.804021 1.3862944 0.6931472 1.0986123 #> 53 12.50618 4.158883 3.912023 0.0000000 -Inf 0.0000000 #> 54 12.57764 4.204693 3.931826 0.0000000 -Inf 0.0000000 #> 55 12.34583 3.951244 3.761200 0.0000000 -Inf 0.0000000 #> 56 12.25486 4.262680 3.806662 0.0000000 -Inf 0.0000000 #> 57 12.76569 4.094345 3.871201 0.0000000 0.0000000 0.0000000 #> 58 12.57072 4.382027 4.025352 0.6931472 -Inf 0.0000000 #> 59 12.41714 4.174387 3.970292 0.6931472 -Inf 0.0000000 #> 60 12.61154 4.356709 4.189655 0.6931472 -Inf 0.0000000 #> 61 12.44902 4.174387 3.951244 0.6931472 -Inf 0.0000000 #> 62 12.44902 4.189655 4.060443 1.0986123 -Inf 0.0000000 #> 63 13.30468 5.123964 4.969813 0.6931472 0.0000000 0.6931472 #> #> $sqrt #> valor area_total area_privativa quartos suites garagens #> 1 759.6052 11.401754 9.695360 1.732051 1.000000 1.414214 #> 2 692.8203 11.532563 9.486833 1.414214 1.000000 1.414214 #> 3 806.2258 13.038405 11.789826 1.414214 1.000000 1.414214 #> 4 670.8204 11.916375 8.366600 1.414214 1.000000 1.414214 #> 5 663.3250 11.874342 8.246211 1.414214 1.000000 1.414214 #> 6 902.9269 15.524175 10.723805 1.732051 1.732051 1.414214 #> 7 660.6224 12.041595 8.062258 1.414214 1.000000 1.414214 #> 8 939.1006 13.416408 11.313708 2.000000 1.000000 1.414214 #> 9 705.6912 11.180340 8.602325 1.414214 1.000000 1.414214 #> 10 655.7439 9.273618 8.660254 1.732051 1.000000 1.000000 #> 11 1131.3708 17.349352 12.961481 2.000000 1.000000 1.732051 #> 12 748.3315 14.317821 12.083046 1.732051 1.414214 1.000000 #> 13 812.4038 12.041595 10.148892 1.732051 1.000000 1.414214 #> 14 714.5628 12.489996 8.062258 1.414214 1.000000 1.414214 #> 15 810.5554 11.357817 9.695360 1.732051 1.000000 1.414214 #> 16 834.8653 13.266499 9.380832 1.732051 1.000000 1.414214 #> 17 754.9834 9.643651 8.366600 1.414214 1.000000 1.414214 #> 18 853.2467 14.798649 10.246951 1.732051 1.000000 1.414214 #> 19 700.0000 9.273618 8.602325 1.414214 1.000000 1.000000 #> 20 640.3124 9.165151 8.602325 1.732051 1.000000 1.414214 #> 21 830.6624 16.911535 13.928388 1.732051 1.000000 1.732051 #> 22 706.7531 9.273618 8.485281 1.732051 1.000000 1.414214 #> 23 479.5832 7.280110 6.164414 1.000000 1.000000 1.000000 #> 24 582.4088 8.366600 7.000000 1.000000 1.000000 1.000000 #> 25 1220.6556 18.574176 15.905974 1.732051 1.732051 1.414214 #> 26 700.0000 10.630146 9.797959 1.414214 1.000000 1.414214 #> 27 883.1761 14.730920 9.433981 1.732051 1.000000 2.000000 #> 28 685.5655 12.884099 12.288206 1.732051 1.000000 1.000000 #> 29 663.3250 10.246951 9.219544 1.732051 1.000000 1.000000 #> 30 624.4998 10.488088 8.366600 1.414214 1.000000 1.000000 #> 31 604.1523 9.486833 8.544004 1.414214 1.000000 1.000000 #> 32 771.3624 12.961481 12.000000 1.414214 1.000000 1.414214 #> 33 796.8689 11.747340 10.770330 1.732051 1.000000 1.000000 #> 34 1161.8950 15.000000 13.416408 2.000000 1.414214 1.732051 #> 35 685.5655 13.674794 8.774964 1.414214 1.414214 1.414214 #> 36 644.2049 9.486833 8.306624 1.414214 1.000000 1.414214 #> 37 670.8204 10.000000 8.944272 1.414214 1.000000 1.414214 #> 38 670.8204 9.746794 8.944272 1.414214 1.000000 1.000000 #> 39 620.4837 8.831761 8.831761 1.414214 1.000000 1.000000 #> 40 616.4414 8.660254 8.660254 1.414214 1.000000 1.000000 #> 41 591.6080 10.099505 8.306624 1.414214 1.000000 1.000000 #> 42 758.2875 10.862780 9.643651 1.732051 1.000000 1.414214 #> 43 871.7798 11.958261 10.954451 1.732051 1.000000 1.414214 #> 44 1024.6951 13.784049 12.688578 1.732051 1.000000 1.414214 #> 45 509.6734 8.366600 8.079604 1.414214 1.000000 1.414214 #> 46 948.6833 13.892444 10.770330 2.000000 1.000000 1.414214 #> 47 1174.7340 17.349352 12.845233 2.000000 1.414214 1.732051 #> 48 897.9911 14.387495 11.045361 2.000000 1.000000 1.414214 #> 49 1219.4261 14.387495 12.922848 1.732051 1.732051 1.732051 #> 50 929.5198 15.811388 15.198684 2.000000 1.732051 1.414214 #> 51 1024.6951 13.416408 12.884099 1.732051 1.732051 1.414214 #> 52 967.1722 15.684387 11.045361 2.000000 1.414214 1.732051 #> 53 519.6152 8.000000 7.071068 1.000000 0.000000 1.000000 #> 54 538.5165 8.185353 7.141428 1.000000 0.000000 1.000000 #> 55 479.5832 7.211103 6.557439 1.000000 0.000000 1.000000 #> 56 458.2576 8.426150 6.708204 1.000000 0.000000 1.000000 #> 57 591.6080 7.745967 6.928203 1.000000 1.000000 1.000000 #> 58 536.6563 8.944272 7.483315 1.414214 0.000000 1.000000 #> 59 496.9909 8.062258 7.280110 1.414214 0.000000 1.000000 #> 60 547.7226 8.831761 8.124038 1.414214 0.000000 1.000000 #> 61 504.9752 8.062258 7.211103 1.414214 0.000000 1.000000 #> 62 504.9752 8.124038 7.615773 1.732051 0.000000 1.000000 #> 63 774.5967 12.961481 12.000000 1.414214 1.000000 1.414214 #>