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
library(appraiseR) data(centro_2015) dados <- centro_2015 vars <- colnames(dados) alltransf(dados, 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 #>#> $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 #>