Restrict a sample to the region of common support
Source:R/matching.R
morie_matching_common_support.RdDrops units whose propensity score falls outside the overlap region of treated and control units.
Usage
morie_matching_common_support(
data,
treatment,
ps_col = "propensity_score",
method = "minmax"
)Examples
# \donttest{
set.seed(1)
df <- data.frame(y = rnorm(200), d = rbinom(200, 1, 0.4),
x1 = rnorm(200), x2 = rnorm(200))
df$propensity_score <- morie_matching_estimate_propensity(df, "d",
c("x1", "x2"))
morie_matching_common_support(df, "d")
#> y d x1 x2 propensity_score
#> 1 -0.626453811 1 0.893673702 0.077303123 0.4634452
#> 2 0.183643324 0 -1.047298149 -0.296868642 0.4030224
#> 3 -0.835628612 1 1.971337386 -1.183242240 0.4192011
#> 4 1.595280802 1 -0.383632106 0.011292688 0.4329559
#> 5 0.329507772 1 1.654145302 0.991601036 0.5288385
#> 7 0.487429052 0 0.082965734 -1.372711271 0.3709441
#> 8 0.738324705 1 0.567220915 -0.249610933 0.4391024
#> 9 0.575781352 0 -1.024548480 1.159424527 0.4807228
#> 10 -0.305388387 1 0.323006503 -1.114222348 0.3888929
#> 11 1.511781168 1 1.043612458 -2.528500689 0.3328853
#> 12 0.389843236 0 0.099078487 -0.935902559 0.3934888
#> 13 -0.621240581 1 -0.454136909 -0.967239458 0.3806774
#> 14 -2.214699887 1 -0.655781852 0.047488592 0.4291680
#> 15 1.124930918 1 -0.035922423 -0.403736793 0.4183545
#> 16 -0.044933609 0 1.069161461 0.231496128 0.4754530
#> 17 -0.016190263 0 -0.483974930 -0.422372408 0.4081022
#> 18 0.943836211 0 -0.121010111 0.374118395 0.4578032
#> 19 0.821221195 1 -1.294140004 -0.366005775 0.3943967
#> 20 0.593901321 1 0.494312836 1.190101447 0.5147935
#> 21 0.918977372 0 1.307901520 -0.737327525 0.4288279
#> 22 0.782136301 0 1.497041009 0.290666645 0.4877596
#> 23 0.074564983 1 0.814702731 -0.884849568 0.4108271
#> 24 -1.989351696 0 -1.869788790 0.208006479 0.4123283
#> 25 0.619825748 0 0.482029504 -0.047730172 0.4480428
#> 26 -0.056128740 0 0.456135603 -1.684520646 0.3627419
#> 27 -0.155795507 0 -0.353400286 -0.144226557 0.4253791
#> 28 -1.470752384 1 0.170489471 1.180213666 0.5073501
#> 29 -0.478150055 1 -0.864035954 0.681399923 0.4584856
#> 30 0.417941560 1 0.679230774 0.143247631 0.4624242
#> 31 1.358679552 1 -0.327101015 -1.192316444 0.3718421
#> 32 -0.102787727 0 -1.569082185 1.169228653 0.4696514
#> 33 0.387671612 0 -0.367450756 0.079201709 0.4368918
#> 34 -0.053805041 0 1.364434929 -0.451773753 0.4451526
#> 35 -1.377059557 0 -0.334281365 1.642028213 0.5214367
#> 36 -0.414994563 1 0.732750042 -0.769592322 0.4151509
#> 37 -0.394289954 1 0.946585640 0.303360961 0.4767041
#> 38 -0.059313397 0 0.004398704 1.281737421 0.5092720
#> 39 1.100025372 0 -0.352322306 0.602222795 0.4651080
#> 40 0.763175748 1 -0.529695509 -0.307022265 0.4131724
#> 41 -0.164523596 0 0.739589226 -0.418418103 0.4337769
#> 42 -0.253361680 0 -1.063457415 0.355135530 0.4368944
#> 43 0.696963375 0 0.246210844 0.513481115 0.4730772
#> 44 0.556663199 1 -0.289499367 0.018607400 0.4353183
#> 45 -0.688755695 0 -2.264889356 1.318448972 0.4628634
#> 46 -0.707495157 0 -1.408850456 -0.065832000 0.4075784
#> 47 0.364581962 0 0.916019329 -0.700296078 0.4225957
#> 48 0.768532925 1 -0.191278951 0.537326132 0.4650511
#> 49 -0.112346212 0 0.803283216 -2.201782322 0.3440515
#> 50 0.881107726 0 1.887474463 0.391973744 0.5015514
#> 51 0.398105880 1 1.473881181 0.496960952 0.4983755
#> 52 -0.612026393 0 0.677268492 -0.224874715 0.4427333
#> 53 0.341119691 0 0.379962687 -1.117143165 0.3898999
#> 54 -1.129363096 0 -0.192798426 -0.394994603 0.4155552
#> 55 1.433023702 0 1.577891795 1.549830342 0.5570639
#> 56 1.980399899 1 0.596234109 -0.743514480 0.4136850
#> 58 -1.044134626 1 -0.155642535 0.812245442 0.4805744
#> 59 0.569719627 1 -1.918909820 -0.501310657 0.3748688
#> 60 -0.135054604 0 -0.195258846 -0.510886566 0.4094525
#> 61 2.401617761 0 -2.592327670 -1.215364041 0.3267844
#> 62 -0.039240003 0 1.314002167 -0.022558628 0.4670235
#> 63 0.689739362 0 -0.635543001 0.701239300 0.4643979
#> 64 0.028002159 0 -0.429978839 -0.587482026 0.4006442
#> 65 -0.743273209 0 -0.169318332 -0.606727941 0.4050022
#> 66 0.188792300 1 0.612218174 1.096640215 0.5122783
#> 67 -1.804958629 1 0.678340177 -0.247509677 0.4415529
#> 68 1.465554862 0 0.567951972 -0.159901713 0.4438841
#> 69 0.153253338 0 -0.572542604 -0.625778251 0.3957489
#> 70 2.172611670 1 -1.363291256 0.900434636 0.4596167
#> 71 0.475509529 0 -0.388722244 -0.994193629 0.3806254
#> 72 -0.709946431 1 0.277914132 0.849250386 0.4918165
#> 73 0.610726353 1 -0.823081122 0.805702289 0.4660129
#> 74 -0.934097632 0 -0.068840934 -0.467600936 0.4143274
#> 75 -1.253633400 0 -1.167662326 0.848420314 0.4609833
#> 76 0.291446236 0 -0.008309014 0.986769864 0.4931125
#> 77 -0.443291873 1 0.128855402 0.575620289 0.4739164
#> 78 0.001105352 0 -0.145875628 2.024842045 0.5459646
#> 79 0.074341324 0 -0.163910957 -1.962353191 0.3370856
#> 80 -0.589520946 1 1.763552003 -1.164920931 0.4158451
#> 81 -0.568668733 1 0.762586512 -1.376519214 0.3843933
#> 82 -0.135178615 0 1.111431081 0.167679934 0.4729246
#> 83 1.178086997 1 -0.923206953 1.584629079 0.5057823
#> 84 -1.523566800 1 0.164341838 1.677888953 0.5339763
#> 85 0.593946188 0 1.154825187 0.488296698 0.4910970
#> 86 0.332950371 0 -0.056521425 0.878673263 0.4862630
#> 87 1.063099837 0 -2.129360648 -0.144874874 0.3887530
#> 88 -0.304183924 0 0.344845762 0.468971760 0.4727865
#> 89 0.370018810 1 -1.904955446 0.376235477 0.4204070
#> 90 0.267098791 0 -0.811170153 -0.761040275 0.3839685
#> 91 -0.542520031 0 1.324004321 -0.293294934 0.4527463
#> 92 1.207867806 1 0.615636849 -0.134841264 0.4462237
#> 93 1.160402616 0 1.091668956 1.393845816 0.5384526
#> 94 0.700213650 0 0.306604862 -1.036988690 0.3925211
#> 95 1.586833455 0 -0.110158762 -2.114335148 0.3308227
#> 96 0.558486426 0 -0.924312773 0.768278218 0.4618571
#> 97 -1.276592208 0 1.592913754 -0.816160621 0.4306308
#> 98 -0.573265414 0 0.045010598 -0.436106923 0.4183394
#> 99 -1.224612615 1 -0.715128401 0.904705031 0.4736232
#> 100 -0.473400636 0 0.865223100 -0.763086265 0.4182418
#> 101 -0.620366677 0 1.074440958 -0.341066980 0.4449268
#> 103 -0.910921649 1 -0.602997304 0.528307712 0.4558322
#> 104 0.158028772 1 -0.390867821 0.542191355 0.4610732
#> 105 -0.654584644 0 -0.416222032 -0.136673356 0.4244656
#> 106 1.767287269 1 -0.375657423 -1.136733853 0.3736727
#> 107 0.716707476 0 -0.366630946 -1.496627154 0.3558848
#> 108 0.910174229 1 -0.295677453 -0.223385644 0.4224177
#> 110 1.682176081 0 -0.697538292 0.221703816 0.4375101
#> 111 -0.635736454 1 -0.388167506 0.164372909 0.4409757
#> 112 -0.461644730 0 0.652536452 0.332623609 0.4720140
#> 113 1.432282239 0 1.124772447 -0.385207999 0.4436399
#> 114 -0.650696353 1 -0.772110803 -1.398754027 0.3527864
#> 116 -0.392807929 0 0.523620590 -0.423686089 0.4289739
#> 117 -0.319992869 1 1.017754227 -0.298601512 0.4459912
#> 118 -0.279113303 0 -0.251164588 -1.792341727 0.3436371
#> 119 0.494188331 0 -1.429993447 -0.248008225 0.3977029
#> 120 -0.177330482 1 1.709121032 -0.247303918 0.4633714
#> 121 -0.505957462 1 1.435069572 -0.255510379 0.4571174
#> 122 1.343038825 1 -0.710371146 -1.786938100 0.3351050
#> 123 -0.214579409 0 -0.065067574 1.784662816 0.5348255
#> 124 -0.179556530 0 -1.759468735 1.763586348 0.4975663
#> 125 -0.100190741 0 0.569722972 0.689600222 0.4894480
#> 126 0.712666307 1 1.612346798 -1.100740644 0.4160673
#> 127 -0.073564404 1 -1.637280647 0.714509357 0.4438996
#> 128 -0.037634171 1 -0.779568513 -0.246470317 0.4111628
#> 129 -0.681660479 1 -0.641176934 -0.319786166 0.4102001
#> 130 -0.324270272 1 -0.681131394 1.362644293 0.4989934
#> 131 0.060160440 1 -2.033285596 -1.227882590 0.3367718
#> 132 -0.588894486 0 0.500963559 -0.511219233 0.4238873
#> 133 0.531496193 0 -1.531798140 -0.731194999 0.3710170
#> 134 -1.518394082 0 -0.024997639 0.019752007 0.4409403
#> 135 0.306557861 0 0.592984721 -1.572863915 0.3710452
#> 136 -1.536449824 0 -0.198195421 -0.703333270 0.3994043
#> 137 -0.300976127 0 0.892008392 0.715932089 0.4977467
#> 138 -0.528279904 0 -0.025715071 0.465214906 0.4647035
#> 139 -0.652094781 0 -0.647660451 -0.973902306 0.3764512
#> 140 -0.056896778 1 0.646359415 0.559217730 0.4840647
#> 142 1.176583312 1 1.772611185 -0.340484927 0.4597292
#> 143 -1.664972436 1 -0.018259711 0.713033195 0.4781676
#> 144 -0.463530401 0 0.852814994 -0.659037386 0.4234480
#> 145 -1.115920105 0 0.205162903 -0.036402623 0.4428044
#> 147 2.087166546 1 -1.366111931 0.847792797 0.4567409
#> 148 0.017395620 0 -0.424102260 -1.850388849 0.3375108
#> 149 -1.286300530 0 0.236803664 -0.323650632 0.4282533
#> 150 -1.640605534 1 -2.342723120 -0.255248113 0.3788192
#> 151 0.450187101 1 0.961696633 0.060921227 0.4640122
#> 152 -0.018559833 0 -0.604425734 -0.823491629 0.3849628
#> 153 -0.318068375 0 -0.752877279 1.829730485 0.5226076
#> 154 -0.929362147 1 -1.555611593 -1.429916216 0.3361612
#> 155 -1.487460310 1 -1.453893738 0.254137143 0.4233866
#> 157 1.000028804 0 0.509369407 0.002415809 0.4512946
#> 158 -0.621266695 0 -2.097882960 0.509665571 0.4234003
#> 159 -1.384426847 1 -1.004361979 -1.084720001 0.3637827
#> 160 1.869290622 1 0.535771722 0.704832977 0.4895436
#> 161 0.425100377 1 -0.453037085 0.330976350 0.4484724
#> 162 -0.238647101 0 2.165368502 0.976327473 0.5388852
#> 163 1.058483049 0 1.245746673 -0.843339880 0.4219468
#> 164 0.886422651 1 0.595498034 -0.970579905 0.4018548
#> 165 -0.619243048 1 0.004884450 -1.771531349 0.3496054
#> 166 2.206102465 1 0.279360782 -0.322470342 0.4292059
#> 167 -0.255027030 0 -0.705906125 -1.338800742 0.3570387
#> 168 -1.424494650 1 0.628017153 0.688156028 0.4906145
#> 169 -0.144399602 0 1.480213960 0.071280652 0.4755991
#> 171 2.307978399 0 -0.813244257 -1.157707599 0.3639207
#> 172 0.105802368 0 -1.618876849 1.181688064 0.4692607
#> 173 0.456998805 0 -0.109655699 -0.527368362 0.4103620
#> 174 -0.077152935 0 0.440889371 -1.456628011 0.3738629
#> 175 -0.334000842 1 1.350993980 0.572967370 0.4998459
#> 176 -0.034726028 0 -1.318609485 -1.433377705 0.3405259
#> 177 0.787639606 1 0.364384593 -1.055185019 0.3927630
#> 178 2.075245009 0 0.233499835 -0.733111877 0.4067318
#> 179 1.027392439 1 1.193955261 0.210907264 0.4770051
#> 180 1.207908398 1 -0.027909972 -0.998920727 0.3876750
#> 181 -1.231323422 0 -0.357298855 1.077850323 0.4905677
#> 182 0.983895570 1 -1.146814136 -1.198974383 0.3553121
#> 183 0.219924804 1 -0.517420484 0.216637035 0.4410304
#> 184 -1.467250029 0 -0.362123773 0.143087030 0.4403935
#> 185 0.521022743 0 2.350554326 -1.065750091 0.4333128
#> 186 -0.158754605 0 2.446531376 -0.428623411 0.4693225
#> 187 1.464587312 0 -0.166703279 -0.656179477 0.4024908
#> 188 -0.766082000 0 -1.043667439 0.959394327 0.4695672
#> 189 -0.430211754 1 -1.972934934 1.556052636 0.4818365
#> 190 -0.926109497 1 0.514671633 -1.040796434 0.3965703
#> 191 -0.177103961 0 -1.090573584 0.930572409 0.4670233
#> 192 0.402011779 0 2.284659326 -0.075445931 0.4848575
#> 193 -0.731748173 1 -0.885617573 -1.967195349 0.3232241
#> 194 0.830373168 1 0.111106430 -0.755903643 0.4030296
#> 195 -1.208082786 1 3.810276681 0.461149161 0.5462030
#> 196 -1.047984413 1 -1.108909998 0.145106631 0.4248452
#> 198 -1.015847465 0 -1.106894472 0.580318685 0.4479482
#> 199 0.411974712 0 0.347653649 0.655051998 0.4828503
#> 200 -0.381076051 0 -0.873264535 -0.304508837 0.4062067
# }