ComputePValue: Compute p-values from information gains and return MDFS

Description Usage Arguments Value Examples

View source: R/p_value.R

Description

Compute p-values from information gains and return MDFS

Usage

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ComputePValue(
  IG,
  dimensions,
  divisions,
  response.divisions = 1,
  df = NULL,
  contrast.mask = NULL,
  ig.in.bits = TRUE,
  ig.doubled = FALSE,
  one.dim.mode = "exp",
  irr.vars.num = NULL,
  ign.low.ig.vars.num = NULL,
  min.irr.vars.num = NULL,
  max.ign.low.ig.vars.num = NULL,
  search.points = 8,
  level = 0.05
)

Arguments

IG

max conditional information gains

dimensions

number of dimensions

divisions

number of divisions

response.divisions

number of response divisions (i.e. categories-1)

df

vector of degrees of freedom for each variable (optional)

contrast.mask

boolean mask on IG specifying which variables are contrast variables (or NULL if none, otherwise at least 3 variables must be marked)

ig.in.bits

TRUE if input is in binary log (as opposed to natural log)

ig.doubled

TRUE if input is doubled (to follow the chi-squared distribution)

one.dim.mode

'exp' for exponential distribution, 'lin' for linear function of chi-squared or 'raw' for raw chi-squared

irr.vars.num

if not NULL, number of irrelevant variables, specified by the user

ign.low.ig.vars.num

if not NULL, number of ignored low IG variables, specified by the user

min.irr.vars.num

minimum number of irrelevant variables (NULL selects probable optimal number)

max.ign.low.ig.vars.num

maximum number of ignored low IG variables (NULL selects probable optimal number)

search.points

number of points in search procedure for the optimal number of ignored variables

level

acceptable error level of goodness-of-fit one-sample Kolmogorov-Smirnov test (used only for warning)

Value

A data.frame with class set to MDFS. Can be coerced back to data.frame using as.data.frame.

The following columns are present:

Additionally the following attributes are set:

Examples

1
ComputePValue(madelon$IG.2D, dimensions = 2, divisions = 1)

Example output

$IG
  [1]  10.043188  13.134090  10.321395  12.600691  15.318620  11.705997
  [7]  13.745332  10.588432  14.131674  10.020343   9.764643  11.131984
 [13]   8.372426  12.822207   7.570298  13.456803  14.372312  10.192614
 [19]  12.441112  12.441112   7.911118   9.262213  10.451360   9.138171
 [25]  13.668673  16.338880  17.952275   8.842534 100.960711  14.918233
 [31]   9.393532   8.144310  14.035892   8.781274   8.285783   8.148033
 [37]  11.138584   9.353087  15.245346   9.330242  12.323839  11.628830
 [43]  14.205456   9.621479  13.104306  11.266180  12.990756   9.341749
 [49] 165.704144  11.911098   8.664171   8.757414   9.120571  12.060016
 [55]  10.865962  13.120383  12.197766   7.510392  10.212921  10.490112
 [61]  14.698579  12.504064   9.450053   6.845675  62.643515  14.333390
 [67]   8.022637  12.582754   9.099418   9.795611  10.227475  12.178136
 [73]   9.264413  13.238671  11.494296   9.878532  10.778134   8.889240
 [79]  10.663738   9.456145  15.785344   9.429069  11.530510  18.269742
 [85]  11.347070  11.443021   8.890763  10.746150  13.321084  13.190611
 [91]  12.805793  14.632581  10.204122  10.652738  17.811141  11.630353
 [97]   8.827135   8.959638  13.389620   9.499298  12.563123  13.579322
[103]  13.009371  11.246211  10.590971  70.485081  10.592325  10.804364
[109]  13.864128   8.678385  13.633136  11.758964  12.720672  12.324854
[115]  12.071354   9.892578   9.414008  12.192012   9.323134   9.718275
[121]  15.729669  11.174460  12.212488  13.577122   9.518590  10.986451
[127]  10.966143  12.780747  74.853803  11.164306  13.016986  10.180261
[133]  10.149631  10.514989  10.119847  14.806544  15.294590  21.777615
[139]  14.711778  11.366361   8.084743  12.187612   8.150571   9.458176
[145]   9.189615  11.308486  13.931818  19.029395   9.328211  15.399002
[151]   8.262260  10.432576  10.226629 145.810685  12.295747   8.345688
[157]  10.361670  11.472127  14.242855   9.947914  10.048773  12.763994
[163]  10.509235  11.588385   8.450947  13.473556   8.876718  11.819716
[169]  12.483249  10.404654  12.931189  12.249549  11.098139  11.175475
[175]   9.968560  13.125290  10.795564  20.964825  12.839130  10.043019
[181]  16.927446   9.505390  11.209659  11.657598  10.680829   9.365948
[187]  11.045341   7.868642   7.355381  17.127132  10.713998  19.258187
[193]  10.615847   9.574434  13.158628   8.326566   9.164401  11.124200
[199]  10.518881  11.813286  11.870145   9.541096   9.510467  12.242272
[205]   9.288443  12.192520   9.675292  16.644840   9.901547  13.315330
[211]  10.593678  11.365008  11.059217  10.467944  11.798563  12.652305
[217]  16.175070  10.603832   9.368656  12.164428   9.109064  17.241021
[223]   8.488345   8.220462  17.238821   8.784151  13.548354   9.337180
[229]  12.029387  12.537063  13.874112  14.142165   9.379825  11.730535
[235]   9.892747  13.219379  11.757103  16.931677  14.807560   8.058174
[241]   9.617756 202.878900   7.458440  10.677953  10.563218  10.375208
[247]  10.495189   9.542620  12.029217   9.549219  15.255838  11.957127
[253]   9.803565   8.379195   8.801582  12.120937   9.157463  12.119414
[259]   9.469176  14.950386  10.172476   6.867505  11.869299  14.813313
[265]  13.240702   8.912086  12.395590  18.635269  13.657504   9.237675
[271]  13.788654  11.485496   8.112496  11.378715  10.514142  11.706843
[277]   9.120910  20.445811   7.790798  12.391190   9.256290 142.633140
[283]  15.782975  11.912621  11.602431  11.627815   9.632647  15.702593
[289]  10.543080   9.155432  11.151953  11.946466  10.676260   7.873719
[295]  13.464756   9.346487  15.947293   7.805013  17.428353  10.181615
[301]   7.358766   9.699999   9.984298  10.466590   8.143633   8.592081
[307]  10.726013  12.735056   9.414854  11.126569  11.813117   9.228706
[313]  11.222012  13.979878  11.715304  12.532832  10.299395  12.039879
[319]  99.935206   8.967422   9.322627  14.064829  11.865407  13.210241
[325]  11.436082   9.756859   7.898256  10.949390   8.728815  17.550703
[331]  12.032771  13.282670  16.470368  14.747992  12.888036   9.977021
[337]  66.944040  12.337546 113.290135   9.794258   7.964931   8.401533
[343]  11.332178  12.682766   9.879040  11.674690  11.366531   7.984392
[349]  11.602431   9.833010   8.343319  11.705320  14.017277  12.061878
[355]  11.066663  11.055833  15.754883   8.775182  13.326161  12.894467
[361]  11.262119  13.044908  13.717410  11.050925   9.180308   8.821719
[367]  10.314287  14.573183  10.433253  12.732349  12.593922   8.317428
[373]  12.457865   9.383378   9.399116   8.944746  10.401269  15.278345
[379] 162.169026   9.335318   7.902656  11.993680   8.422009  12.378160
[385]  10.824502  10.772719  10.061295   8.986037  17.957013  11.638307
[391]  10.655446  13.183165  10.195999   8.664509  10.658830   9.032236
[397]   9.271013  11.921421  10.899638  10.882715   8.069682  10.606370
[403]  10.036758   9.940638  10.858178   9.173370  12.857237   9.905946
[409]   9.729614   9.859071  18.436767  13.253225   8.167325  11.052448
[415]  14.607197  12.613553  13.446480  15.532521   8.951684   7.427641
[421]  12.372745   9.964668  13.276916  13.093814  13.727902  14.920771
[427]  10.981881  12.242103  11.679936   6.406535   9.599141  20.678665
[433]  11.685690 139.026270  12.737087  11.630522  13.131721  11.641522
[439]  13.473218   8.324028  16.066258  16.350218  77.574440  14.950386
[445]   9.288612  15.735423  14.347097   9.487790  15.258038   7.841227
[451]   9.924223 106.418230   8.662648 106.562410  12.227042  18.892999
[457]  14.213409  15.352973  10.922145   8.704615  11.635430  14.665410
[463]  10.011882  12.487987   8.468546   8.429624  15.955077   9.811519
[469]  18.709389  10.094802  16.536535  11.623923  73.833374  11.224212
[475]  10.294996 211.013903  12.723380  13.444111   8.266322   8.329612
[481]  10.497558  11.446913   9.223122   8.221308   9.865840  12.653321
[487]  12.159013   9.886655  10.046065   8.304905  13.957371  10.621601
[493]   8.793290 107.877799  11.155168  12.480203  11.683321  10.198368
[499]  10.248289  11.597354

$chi.squared.p.value
  [1] 6.594007e-03 1.405946e-03 5.737697e-03 1.835670e-03 4.716326e-04
  [6] 2.871277e-03 1.035712e-03 5.020548e-03 8.537802e-04 6.669760e-03
 [11] 7.579397e-03 3.825783e-03 1.520375e-02 1.643210e-03 2.270548e-02
 [16] 1.196444e-03 7.569934e-04 6.119303e-03 1.988140e-03 1.988140e-03
 [21] 1.914797e-02 9.743971e-03 5.376703e-03 1.036744e-02 1.076181e-03
 [26] 2.831765e-04 1.263901e-04 1.201899e-02 1.193054e-22 5.761650e-04
 [31] 9.124739e-03 1.704063e-02 8.956633e-04 1.239283e-02 1.587688e-02
 [36] 1.700893e-02 3.813179e-03 9.311142e-03 4.892324e-04 9.418110e-03
 [41] 2.108203e-03 2.984225e-03 8.228572e-04 8.141838e-03 1.427040e-03
 [46] 3.577504e-03 1.510404e-03 9.364077e-03 1.041843e-36 2.591421e-03
 [51] 1.314012e-02 1.254157e-02 1.045907e-02 2.405474e-03 4.370049e-03
 [56] 1.415615e-03 2.245375e-03 2.339587e-02 6.057485e-03 5.273525e-03
 [61] 6.430492e-04 1.926536e-03 8.870478e-03 3.261975e-02 2.495362e-14
 [66] 7.718695e-04 1.810950e-02 1.852208e-03 1.057028e-02 7.462941e-03
 [71] 6.013566e-03 2.267522e-03 9.733259e-03 1.334317e-03 3.191871e-03
 [76] 7.159852e-03 4.566232e-03 1.174157e-02 4.835026e-03 8.843499e-03
 [81] 3.734703e-04 8.964037e-03 3.134596e-03 1.078390e-04 3.435699e-03
 [86] 3.274761e-03 1.173263e-02 4.639841e-03 1.280452e-03 1.366769e-03
 [91] 1.656752e-03 6.646232e-04 6.084196e-03 4.861691e-03 1.356313e-04
 [96] 2.981954e-03 1.211189e-02 1.133546e-02 1.237317e-03 8.654733e-03
[101] 1.870477e-03 1.125350e-03 1.496411e-03 3.613401e-03 5.014180e-03
[106] 4.947197e-16 5.010787e-03 4.506737e-03 9.759843e-04 1.304706e-02
[111] 1.095474e-03 2.796233e-03 1.728786e-03 2.107133e-03 2.391876e-03
[116] 7.109746e-03 9.031795e-03 2.251843e-03 9.451639e-03 7.757170e-03
[121] 3.840129e-04 3.745388e-03 2.228906e-03 1.126589e-03 8.571652e-03
[126] 4.114552e-03 4.156542e-03 1.677629e-03 5.568050e-17 3.764451e-03
[131] 1.490725e-03 6.157217e-03 6.252240e-03 5.208339e-03 6.346044e-03
[136] 6.092559e-04 4.773335e-04 1.866599e-05 6.388192e-04 3.402718e-03
[141] 1.755579e-02 2.256803e-03 1.698736e-02 8.834524e-03 1.010416e-02
[146] 3.502623e-03 9.435047e-04 7.375975e-05 9.427678e-03 4.530531e-04
[151] 1.606471e-02 5.427439e-03 6.016111e-03 2.175766e-32 2.138023e-03
[156] 1.540837e-02 5.623308e-03 3.227448e-03 8.076132e-04 6.915727e-03
[161] 6.575621e-03 1.691741e-03 5.223344e-03 3.045188e-03 1.461841e-02
[166] 1.186464e-03 1.181531e-02 2.712572e-03 1.946691e-03 5.503743e-03
[171] 1.556066e-03 2.187985e-03 3.891076e-03 3.743487e-03 6.844705e-03
[176] 1.412146e-03 4.526609e-03 2.802503e-05 1.629365e-03 6.594565e-03
[181] 2.109851e-04 8.628411e-03 3.680048e-03 2.941607e-03 4.793882e-03
[186] 9.251458e-03 3.995165e-03 1.955898e-02 2.528129e-02 1.909372e-04
[191] 4.715036e-03 6.578665e-05 4.952200e-03 8.335624e-03 1.388802e-03
[196] 1.555640e-02 1.023236e-02 3.840703e-03 5.198213e-03 2.721307e-03
[201] 2.645030e-03 8.475732e-03 8.606536e-03 2.195960e-03 9.617014e-03
[206] 2.251272e-03 7.925688e-03 2.430071e-04 7.077934e-03 1.284141e-03
[211] 5.007396e-03 3.405022e-03 3.967541e-03 5.332303e-03 2.741414e-03
[216] 1.788903e-03 3.073464e-04 4.982039e-03 9.238942e-03 2.283116e-03
[221] 1.051942e-02 1.803682e-04 1.434760e-02 1.640399e-02 1.805667e-04
[226] 1.237502e-02 1.142911e-03 9.385494e-03 2.442597e-03 1.895010e-03
[231] 9.711241e-04 8.493130e-04 9.187491e-03 2.836265e-03 7.109144e-03
[236] 1.347250e-03 2.798837e-03 2.105393e-04 6.089467e-04 1.779056e-02
[241] 8.157008e-03 8.818742e-45 2.401156e-02 4.800783e-03 5.084244e-03
[246] 5.585372e-03 5.260156e-03 8.469280e-03 2.442804e-03 8.441379e-03
[251] 4.866726e-04 2.532461e-03 7.433321e-03 1.515238e-02 1.226764e-02
[256] 2.333307e-03 1.026792e-02 2.335084e-03 8.786069e-03 5.669763e-04
[261] 6.181229e-03 3.226564e-02 2.646150e-03 6.071974e-04 1.332963e-03
[266] 1.160821e-02 2.033910e-03 8.982616e-05 1.082208e-03 9.864255e-03
[271] 1.013519e-03 3.205946e-03 1.731386e-02 3.381765e-03 5.210543e-03
[276] 2.870062e-03 1.045730e-02 3.632859e-05 2.033526e-02 2.038390e-03
[281] 9.772870e-03 1.065632e-31 3.739130e-04 2.589448e-03 3.023877e-03
[286] 2.985741e-03 8.096498e-03 3.892470e-04 5.135696e-03 1.027835e-02
[291] 3.787775e-03 2.545997e-03 4.804846e-03 1.950939e-02 1.191696e-03
[296] 9.341918e-03 3.444208e-04 2.019124e-02 1.642408e-04 6.153051e-03
[301] 2.523854e-02 7.828381e-03 6.791056e-03 5.335914e-03 1.704639e-02
[306] 1.362239e-02 4.686795e-03 1.716397e-03 9.027975e-03 3.836156e-03
[311] 2.721538e-03 9.908590e-03 3.657388e-03 9.211026e-04 2.857946e-03
[316] 1.899022e-03 5.801158e-03 2.429817e-03 1.992259e-22 1.129143e-02
[321] 9.454039e-03 8.827975e-04 2.651304e-03 1.353420e-03 3.286142e-03
[326] 7.608955e-03 1.927150e-02 4.191506e-03 1.272219e-02 1.544946e-04
[331] 2.438467e-03 1.305284e-03 2.651581e-04 6.273561e-04 1.590005e-03
[336] 6.815809e-03 2.905939e-15 2.093804e-03 2.508187e-25 7.467994e-03
[341] 1.863962e-02 1.498409e-02 3.461376e-03 1.761864e-03 7.158035e-03
[346] 2.916576e-03 3.402430e-03 1.845913e-02 3.023877e-03 7.324685e-03
[351] 1.542664e-02 2.872249e-03 9.040385e-04 2.403236e-03 3.952798e-03
[356] 3.974261e-03 3.792019e-04 1.243064e-02 1.277206e-03 1.584901e-03
[361] 3.584776e-03 1.470057e-03 1.050273e-03 3.984025e-03 1.015130e-02
[366] 1.214473e-02 5.758124e-03 6.846579e-04 5.425602e-03 1.718722e-03
[371] 1.841893e-03 1.562764e-02 1.971555e-03 9.171181e-03 9.099296e-03
[376] 1.142018e-02 5.513065e-03 4.812266e-04 6.101597e-36 9.394234e-03
[381] 1.922915e-02 2.486597e-03 1.483146e-02 2.051713e-03 4.461586e-03
[386] 4.578612e-03 6.534577e-03 1.118682e-02 1.260910e-04 2.970119e-03
[391] 4.855113e-03 1.371867e-03 6.108956e-03 1.313789e-02 4.846904e-03
[396] 1.093138e-02 9.701193e-03 2.578080e-03 4.297083e-03 4.333596e-03
[401] 1.768849e-02 4.975720e-03 6.615243e-03 6.940935e-03 4.387091e-03
[406] 1.018657e-02 1.614680e-03 7.062380e-03 7.713318e-03 7.229861e-03
[411] 9.919890e-05 1.324643e-03 1.684566e-02 3.980992e-03 6.731123e-04
[416] 1.823904e-03 1.202635e-03 4.237950e-04 1.138063e-02 2.438419e-02
[421] 2.057276e-03 6.858039e-03 1.309044e-03 1.434546e-03 1.044778e-03
[426] 5.754342e-04 4.123963e-03 2.196146e-03 2.908936e-03 4.062924e-02
[431] 8.233283e-03 3.233590e-05 2.900579e-03 6.468880e-31 1.714655e-03
[436] 2.981702e-03 1.407612e-03 2.965348e-03 1.186665e-03 1.557616e-02
[441] 3.245311e-04 2.815757e-04 1.428645e-17 5.669763e-04 9.616200e-03
[446] 3.829097e-04 7.665975e-04 8.704673e-03 4.861376e-04 1.982892e-02
[451] 6.998137e-03 7.790673e-24 1.315013e-02 7.248809e-24 2.212746e-03
[456] 7.896550e-05 8.195914e-04 4.636009e-04 4.248997e-03 1.287706e-02
[461] 2.974394e-03 6.538025e-04 6.698037e-03 1.942084e-03 1.449034e-02
[466] 1.477510e-02 3.430829e-04 7.403819e-03 8.655810e-05 6.426013e-03
[471] 2.565293e-04 2.991557e-03 9.274414e-17 3.653367e-03 5.813934e-03
[476] 1.509778e-46 1.726447e-03 1.204061e-03 1.603212e-02 1.553273e-02
[481] 5.253929e-03 3.268395e-03 9.936296e-03 1.639705e-02 7.205433e-03
[486] 1.787995e-03 2.289306e-03 7.130832e-03 6.584529e-03 1.572580e-02
[491] 9.315267e-04 4.937973e-03 1.231860e-02 3.755204e-24 3.781691e-03
[496] 1.949658e-03 2.904017e-03 6.101724e-03 5.951305e-03 3.031563e-03

$p.value
  [1] 6.777270e-01 2.140079e-01 6.265168e-01 2.698307e-01 7.756914e-02
  [6] 3.886891e-01 1.625239e-01 5.774606e-01 1.360099e-01 6.819061e-01
 [11] 7.280719e-01 4.811135e-01 9.273595e-01 2.453342e-01 9.803765e-01
 [16] 1.852744e-01 1.215662e-01 6.502676e-01 2.886745e-01 2.886745e-01
 [21] 9.634515e-01 8.128677e-01 6.025754e-01 8.319905e-01 1.683108e-01
 [26] 4.731871e-02 2.140173e-02 8.737653e-01 2.042010e-20 9.393461e-02
 [31] 7.917349e-01 9.472283e-01 1.421867e-01 8.816830e-01 9.353820e-01
 [36] 9.469363e-01 4.799886e-01 7.983344e-01 8.034498e-02 8.020273e-01
 [41] 3.031724e-01 4.004276e-01 1.314210e-01 7.532172e-01 2.168445e-01
 [46] 4.585027e-01 2.279559e-01 8.001704e-01 1.783200e-34 3.586107e-01
 [51] 8.960605e-01 8.846941e-01 8.346323e-01 3.378166e-01 5.274488e-01
 [56] 2.153094e-01 3.193768e-01 9.826121e-01 6.465246e-01 5.954564e-01
 [61] 1.042542e-01 2.811198e-01 7.823853e-01 9.965735e-01 4.271018e-12
 [66] 1.238017e-01 9.561947e-01 2.718984e-01 8.377830e-01 7.225554e-01
 [71] 6.438413e-01 3.219578e-01 8.125209e-01 2.042991e-01 4.214260e-01
 [76] 7.076711e-01 5.431216e-01 8.675510e-01 5.637595e-01 7.813691e-01
 [81] 6.193353e-02 7.858732e-01 4.157081e-01 1.828922e-02 4.451518e-01
 [86] 4.296027e-01 8.673458e-01 5.488679e-01 1.969196e-01 2.087124e-01
 [91] 2.470842e-01 1.075578e-01 6.481467e-01 5.657556e-01 2.294857e-02
 [96] 4.001937e-01 8.757808e-01 8.579020e-01 1.909610e-01 7.741257e-01
[101] 2.741758e-01 1.752883e-01 2.261018e-01 4.618315e-01 5.769975e-01
[106] 8.467535e-14 5.767505e-01 5.384240e-01 1.539098e-01 8.943694e-01
[111] 1.710557e-01 3.807639e-01 2.563256e-01 3.030445e-01 3.362699e-01
[116] 7.051351e-01 7.883644e-01 3.201317e-01 8.031709e-01 7.362833e-01
[121] 6.362533e-02 4.738967e-01 3.174514e-01 1.754633e-01 7.708625e-01
[126] 5.062334e-01 5.097840e-01 2.497743e-01 9.530177e-15 4.756169e-01
[131] 2.253471e-01 6.525437e-01 6.581837e-01 5.908935e-01 6.636621e-01
[136] 9.905490e-02 7.846919e-02 3.189770e-03 1.036050e-01 4.420000e-01
[141] 9.517571e-01 3.207099e-01 9.467366e-01 7.810300e-01 8.241647e-01
[146] 4.514930e-01 1.491886e-01 1.254569e-02 8.023543e-01 7.462975e-02
[151] 9.374590e-01 6.060302e-01 6.439973e-01 3.724003e-30 3.067274e-01
[156] 9.298977e-01 6.190899e-01 4.249496e-01 1.291500e-01 6.951074e-01
[161] 6.767044e-01 2.515873e-01 5.919483e-01 4.066698e-01 9.195831e-01
[166] 1.838798e-01 8.692320e-01 3.718083e-01 2.836002e-01 6.111699e-01
[171] 2.339754e-01 3.126433e-01 4.869022e-01 4.737248e-01 6.913525e-01
[176] 2.148427e-01 5.399984e-01 4.785295e-03 2.435408e-01 6.777579e-01
[181] 3.547126e-02 7.730968e-01 4.679578e-01 3.960249e-01 5.606617e-01
[186] 7.962443e-01 4.959980e-01 9.659815e-01 9.875089e-01 3.215526e-02
[191] 5.546638e-01 1.119714e-02 5.724635e-01 7.613340e-01 2.116949e-01
[196] 9.316787e-01 8.280195e-01 4.824419e-01 5.901801e-01 3.727494e-01
[201] 3.644843e-01 7.670367e-01 7.722383e-01 3.135830e-01 8.087162e-01
[206] 3.200651e-01 7.438396e-01 4.074441e-02 7.035137e-01 1.974271e-01
[211] 5.765036e-01 4.422208e-01 4.935999e-01 5.995273e-01 3.749102e-01
[216] 2.639518e-01 5.125286e-02 5.746523e-01 7.958033e-01 3.237692e-01
[221] 8.363496e-01 3.040254e-02 9.157104e-01 9.410439e-01 3.043549e-02
[226] 8.813172e-01 1.777662e-01 8.009085e-01 3.420209e-01 2.772228e-01
[231] 1.532050e-01 1.353485e-01 7.939803e-01 3.850042e-01 7.051046e-01
[236] 2.060608e-01 3.810406e-01 3.539764e-02 9.900718e-02 9.536907e-01
[241] 7.538624e-01 1.509400e-42 9.843912e-01 5.611828e-01 5.820653e-01
[246] 6.165946e-01 5.945247e-01 7.667771e-01 3.420442e-01 7.656511e-01
[251] 7.994176e-02 3.520886e-01 7.211347e-01 9.267081e-01 8.790880e-01
[256] 3.295669e-01 8.290738e-01 3.297713e-01 7.791902e-01 9.250770e-02
[261] 6.539775e-01 9.963520e-01 3.646064e-01 9.873721e-02 2.041144e-01
[266] 8.644565e-01 2.942364e-01 1.525758e-02 1.691692e-01 8.167183e-01
[271] 1.593334e-01 4.228226e-01 9.496806e-01 4.399885e-01 5.910486e-01
[276] 3.885617e-01 8.345816e-01 6.198759e-03 9.702945e-01 2.947784e-01
[281] 8.138001e-01 1.823917e-29 6.200463e-02 3.583936e-01 4.044951e-01
[286] 4.005835e-01 7.512788e-01 6.446415e-02 5.857483e-01 8.293818e-01
[291] 4.777140e-01 3.535918e-01 5.614894e-01 9.656858e-01 1.846111e-01
[296] 7.994039e-01 5.725610e-02 9.695376e-01 2.772198e-02 6.522943e-01
[301] 9.874148e-01 7.395030e-01 6.884857e-01 5.997761e-01 9.472813e-01
[306] 9.044028e-01 5.524958e-01 2.547443e-01 7.882248e-01 4.820374e-01
[311] 3.727742e-01 8.181176e-01 4.658826e-01 1.459170e-01 3.872887e-01
[316] 2.777200e-01 6.305749e-01 3.405765e-01 3.409916e-20 8.568146e-01
[321] 8.032525e-01 1.402940e-01 3.651682e-01 2.068999e-01 4.307163e-01
[326] 7.294546e-01 9.642310e-01 5.127211e-01 8.882486e-01 2.609845e-02
[331] 3.415545e-01 2.003299e-01 4.437530e-02 1.018434e-01 2.384192e-01
[336] 6.898117e-01 4.973754e-13 3.014493e-01 4.292968e-23 7.227971e-01
[341] 9.600623e-01 9.245329e-01 4.475934e-01 2.605315e-01 7.075796e-01
[346] 3.934241e-01 4.419725e-01 9.587852e-01 4.044951e-01 7.158617e-01
[351] 9.301199e-01 3.887911e-01 1.434166e-01 3.375623e-01 4.923153e-01
[356] 4.941843e-01 6.285368e-02 8.824557e-01 1.964727e-01 2.377526e-01
[361] 4.591787e-01 2.225979e-01 1.646107e-01 4.950322e-01 8.255918e-01
[366] 8.764855e-01 6.278278e-01 1.106149e-01 6.059057e-01 2.550413e-01
[371] 2.706094e-01 9.325198e-01 2.866485e-01 7.933990e-01 7.908176e-01
[376] 8.599710e-01 6.117933e-01 7.908333e-02 1.044339e-33 8.012089e-01
[381] 9.639656e-01 3.469697e-01 9.225049e-01 2.963881e-01 5.348270e-01
[386] 5.440931e-01 6.744102e-01 8.541983e-01 2.135163e-02 3.989738e-01
[391] 5.652641e-01 2.094035e-01 6.496438e-01 8.960205e-01 5.646499e-01
[396] 8.476077e-01 8.114790e-01 3.571407e-01 5.214841e-01 5.244782e-01
[401] 9.528597e-01 5.741897e-01 6.789040e-01 6.964292e-01 5.288312e-01
[406] 8.266525e-01 2.416340e-01 7.027177e-01 7.342810e-01 7.111782e-01
[411] 1.683621e-02 2.029787e-01 9.454062e-01 4.947690e-01 1.088544e-01
[416] 2.683560e-01 1.861383e-01 6.998205e-02 8.590088e-01 9.853788e-01
[421] 2.970591e-01 6.920609e-01 2.008451e-01 2.178515e-01 1.638237e-01
[426] 9.382121e-02 5.070314e-01 3.136049e-01 3.926280e-01 9.991743e-01
[431] 7.570811e-01 5.519357e-03 3.917562e-01 1.107202e-28 2.545217e-01
[436] 4.001677e-01 2.142324e-01 3.984813e-01 1.839079e-01 9.319130e-01
[441] 5.404019e-02 4.705758e-02 2.445244e-15 9.250770e-02 8.086893e-01
[446] 6.344845e-02 1.230101e-01 7.760649e-01 7.985747e-02 9.675477e-01
[451] 6.994075e-01 1.333438e-21 8.962408e-01 1.240693e-21 3.155567e-01
[456] 1.342520e-02 1.309350e-01 7.629961e-02 5.175125e-01 8.912093e-01
[461] 3.994148e-01 1.059024e-01 6.834522e-01 2.830340e-01 9.177742e-01
[466] 9.217423e-01 5.704012e-02 7.197124e-01 1.470656e-02 6.682635e-01
[471] 4.296253e-02 4.011817e-01 1.587392e-14 4.655136e-01 6.313866e-01
[476] 2.584110e-44 2.560273e-01 1.863371e-01 9.371035e-01 9.313969e-01
[481] 5.940900e-01 4.289788e-01 8.189867e-01 9.409726e-01 7.099592e-01
[486] 2.638372e-01 3.244869e-01 7.062050e-01 6.772003e-01 9.336618e-01
[491] 1.474409e-01 5.714160e-01 8.801512e-01 6.427342e-22 4.771677e-01
[496] 2.839646e-01 3.921150e-01 6.492072e-01 6.400025e-01 4.052803e-01

attr(,"class")
[1] "MDFS"
attr(,"row.names")
  [1]   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18
 [19]  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36
 [37]  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54
 [55]  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71  72
 [73]  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89  90
 [91]  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
[163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
[181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
[199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
[217] 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234
[235] 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252
[253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270
[271] 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
[289] 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306
[307] 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324
[325] 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342
[343] 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
[361] 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378
[379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
[397] 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414
[415] 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432
[433] 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450
[451] 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468
[469] 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486
[487] 487 488 489 490 491 492 493 494 495 496 497 498 499 500
attr(,"run.params")
attr(,"run.params")$contrast.mask
NULL

attr(,"run.params")$dimensions
[1] 2

attr(,"run.params")$divisions
[1] 1

attr(,"run.params")$response.divisions
[1] 1

attr(,"run.params")$df
[1] 2

attr(,"run.params")$search.points
[1] 8

attr(,"run.params")$ign.low.ig.vars.num
[1] 0

attr(,"run.params")$max.ign.low.ig.vars.num
[1] 166

attr(,"run.params")$irr.vars.num
[1] 479

attr(,"run.params")$min.irr.vars.num
[1] 30

attr(,"run.params")$one.dim.mode
[1] "exp"

attr(,"run.params")$ig.in.bits
[1] TRUE

attr(,"run.params")$ig.doubled
[1] FALSE

attr(,"sq.dev")
  [1] 2.113086e-06 2.113086e-06 2.112109e-06 2.110948e-06 2.109556e-06
  [6] 2.108117e-06 2.106558e-06 2.104870e-06 2.103042e-06 2.101080e-06
 [11] 2.099005e-06 2.096871e-06 2.094665e-06 2.092383e-06 2.090019e-06
 [16] 2.087565e-06 2.085021e-06 2.082379e-06 2.079640e-06 2.076812e-06
 [21] 2.073897e-06 2.070901e-06 2.067826e-06 2.064673e-06 2.061440e-06
 [26] 2.058131e-06 2.054749e-06 2.051291e-06 2.047753e-06 2.044133e-06
 [31] 2.040436e-06 2.036667e-06 2.032828e-06 2.028922e-06 2.024949e-06
 [36] 2.020910e-06 2.016806e-06 2.012639e-06 2.008405e-06 2.004105e-06
 [41] 1.999735e-06 1.995298e-06 1.990791e-06 1.986219e-06 1.981581e-06
 [46] 1.976881e-06 1.972120e-06 1.967298e-06 1.962418e-06 1.957481e-06
 [51] 1.952493e-06 1.947471e-06 1.942424e-06 1.937349e-06 1.932245e-06
 [56] 1.927111e-06 1.921950e-06 1.916765e-06 1.911558e-06 1.906328e-06
 [61] 1.901074e-06 1.895795e-06 1.890490e-06 1.885159e-06 1.879802e-06
 [66] 1.874419e-06 1.869012e-06 1.863583e-06 1.858132e-06 1.852658e-06
 [71] 1.847163e-06 1.841649e-06 1.836116e-06 1.830562e-06 1.824988e-06
 [76] 1.819396e-06 1.813795e-06 1.808187e-06 1.802571e-06 1.796948e-06
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[101] 1.676609e-06 1.670759e-06 1.664896e-06 1.659018e-06 1.653124e-06
[106] 1.647216e-06 1.641293e-06 1.635355e-06 1.629400e-06 1.623431e-06
[111] 1.617445e-06 1.611443e-06 1.605426e-06 1.599393e-06 1.593345e-06
[116] 1.587283e-06 1.581206e-06 1.575114e-06 1.569009e-06 1.562889e-06
[121] 1.556756e-06 1.550609e-06 1.544447e-06 1.538273e-06 1.532085e-06
[126] 1.525884e-06 1.519671e-06 1.513448e-06 1.507216e-06 1.500974e-06
[131] 1.494723e-06 1.488465e-06 1.482204e-06 1.475939e-06 1.469670e-06
[136] 1.463400e-06 1.457128e-06 1.450856e-06 1.444584e-06 1.438310e-06
[141] 1.432035e-06 1.425760e-06 1.419487e-06 1.413215e-06 1.406944e-06
[146] 1.400673e-06 1.394402e-06 1.388131e-06 1.381859e-06 1.375585e-06
[151] 1.369310e-06 1.363034e-06 1.356758e-06 1.350481e-06 1.344205e-06
[156] 1.337928e-06 1.331650e-06 1.325372e-06 1.319095e-06 1.312819e-06
[161] 1.306544e-06 1.300270e-06 1.293997e-06 1.287722e-06 1.281447e-06
[166] 1.275171e-06 1.268897e-06 1.262626e-06 1.256360e-06 1.250099e-06
[171] 1.243843e-06 1.237592e-06 1.231345e-06 1.225101e-06 1.218861e-06
[176] 1.212623e-06 1.206388e-06 1.200156e-06 1.193927e-06 1.187701e-06
[181] 1.181483e-06 1.175270e-06 1.169063e-06 1.162862e-06 1.156670e-06
[186] 1.150487e-06 1.144313e-06 1.138148e-06 1.131993e-06 1.125847e-06
[191] 1.119712e-06 1.113586e-06 1.107469e-06 1.101363e-06 1.095267e-06
[196] 1.089179e-06 1.083100e-06 1.077030e-06 1.070967e-06 1.064912e-06
[201] 1.058866e-06 1.052829e-06 1.046804e-06 1.040787e-06 1.034779e-06
[206] 1.028779e-06 1.022787e-06 1.016803e-06 1.010826e-06 1.004857e-06
[211] 9.988970e-07 9.929451e-07 9.870007e-07 9.810635e-07 9.751339e-07
[216] 9.692110e-07 9.632942e-07 9.573867e-07 9.514874e-07 9.455974e-07
[221] 9.397179e-07 9.338475e-07 9.279872e-07 9.221364e-07 9.162964e-07
[226] 9.104691e-07 9.046530e-07 8.988488e-07 8.930570e-07 8.872783e-07
[231] 8.815140e-07 8.757638e-07 8.700278e-07 8.643049e-07 8.586008e-07
[236] 8.529121e-07 8.472381e-07 8.415782e-07 8.359322e-07 8.302999e-07
[241] 8.246837e-07 8.190841e-07 8.134992e-07 8.079288e-07 8.023727e-07
[246] 7.968313e-07 7.913037e-07 7.857899e-07 7.802899e-07 7.748028e-07
[251] 7.693314e-07 7.638746e-07 7.584313e-07 7.530031e-07 7.475898e-07
[256] 7.421904e-07 7.368085e-07 7.314435e-07 7.260951e-07 7.207636e-07
[261] 7.154476e-07 7.101464e-07 7.048607e-07 6.995951e-07 6.943464e-07
[266] 6.891141e-07 6.839000e-07 6.787032e-07 6.735235e-07 6.683632e-07
[271] 6.632256e-07 6.581077e-07 6.530088e-07 6.479282e-07 6.428673e-07
[276] 6.378247e-07 6.327998e-07 6.277920e-07 6.228007e-07 6.178258e-07
[281] 6.128668e-07 6.079233e-07 6.029960e-07 5.980852e-07 5.931900e-07
[286] 5.883098e-07 5.834441e-07 5.785941e-07 5.737584e-07 5.689363e-07
[291] 5.641282e-07 5.593346e-07 5.545565e-07 5.497922e-07 5.450448e-07
[296] 5.403131e-07 5.355957e-07 5.308926e-07 5.262073e-07 5.215372e-07
[301] 5.168816e-07 5.122437e-07 5.076209e-07 5.030135e-07 4.984227e-07
[306] 4.938477e-07 4.892907e-07 4.847522e-07 4.802302e-07 4.757244e-07
[311] 4.712347e-07 4.667619e-07 4.623049e-07 4.578636e-07 4.534412e-07
[316] 4.490351e-07 4.446477e-07 4.402772e-07 4.359241e-07 4.315880e-07
[321] 4.272682e-07 4.229641e-07 4.186756e-07 4.144032e-07 4.101468e-07
[326] 4.059065e-07 4.016812e-07 3.974709e-07 3.932783e-07 3.891032e-07
[331] 3.849440e-07 3.808011e-07 3.766760e-07 3.725673e-07 3.684753e-07
[336] 3.643992e-07 3.603416e-07 3.563003e-07 3.522760e-07 3.482691e-07
[341] 3.442786e-07 3.403041e-07 3.363461e-07 3.324055e-07 3.284811e-07
[346] 3.245739e-07 3.206839e-07 3.168107e-07 3.129539e-07 3.091135e-07
[351] 3.052911e-07 3.014851e-07 2.976968e-07 2.939271e-07 2.901745e-07
[356] 2.864390e-07 2.827201e-07 2.790173e-07 2.753316e-07 2.716628e-07
[361] 2.680114e-07 2.643772e-07 2.607601e-07 2.571603e-07 2.535785e-07
[366] 2.500139e-07 2.464677e-07 2.429416e-07 2.394349e-07 2.359468e-07
[371] 2.324783e-07 2.290306e-07 2.256027e-07 2.221946e-07 2.188058e-07
[376] 2.154360e-07 2.120847e-07 2.087526e-07 2.054397e-07 2.021456e-07
[381] 1.988704e-07 1.956138e-07 1.923759e-07 1.891561e-07 1.859544e-07
[386] 1.827711e-07 1.796056e-07 1.764587e-07 1.733297e-07 1.702182e-07
[391] 1.671262e-07 1.640546e-07 1.610022e-07 1.579689e-07 1.549544e-07
[396] 1.519585e-07 1.489805e-07 1.460228e-07 1.430850e-07 1.401665e-07
[401] 1.372686e-07 1.343912e-07 1.315339e-07 1.286978e-07 1.258823e-07
[406] 1.230874e-07 1.203138e-07 1.175630e-07 1.148345e-07 1.121292e-07
[411] 1.094471e-07 1.067883e-07 1.041531e-07 1.015414e-07 9.895341e-08
[416] 9.639018e-08 9.385133e-08 9.133784e-08 8.884931e-08 8.638590e-08
[421] 8.394905e-08 8.153855e-08 7.915444e-08 7.680009e-08 7.447588e-08
[426] 7.218178e-08 6.991794e-08 6.768447e-08 6.548119e-08 6.330822e-08
[431] 6.116609e-08 5.905452e-08 5.697310e-08 5.492290e-08 5.290389e-08
[436] 5.091601e-08 4.895891e-08 4.703574e-08 4.514771e-08 4.329441e-08
[441] 4.147561e-08 3.969113e-08 3.794083e-08 3.622476e-08 3.454312e-08
[446] 3.289699e-08 3.128831e-08 2.971804e-08 2.818596e-08 2.669182e-08
[451] 2.523553e-08 2.381687e-08 2.243650e-08 2.109539e-08 1.979383e-08
[456] 1.853295e-08 1.731410e-08 1.613831e-08 1.500581e-08 1.391753e-08
[461] 1.287406e-08 1.187694e-08 1.092814e-08 1.002794e-08 9.177866e-09
[466] 8.378510e-09 7.630044e-09 6.933912e-09 6.291254e-09 5.703955e-09
[471] 5.172839e-09 4.698193e-09 4.282153e-09 3.925878e-09 3.630601e-09
[476] 3.396919e-09 3.226034e-09 3.118934e-09 3.077347e-09 3.106296e-09
[481] 3.206955e-09 3.380696e-09 3.630023e-09 3.959453e-09 4.370010e-09
[486] 4.862826e-09 5.439156e-09 6.100393e-09 6.848093e-09 7.683995e-09
[491] 8.610058e-09 9.628495e-09 1.074183e-08 1.195298e-08 1.326530e-08
[496] 1.468280e-08 1.621027e-08 1.785364e-08 1.962048e-08 2.152108e-08
attr(,"dist.param")
      alpha 
0.005842546 
attr(,"err.param")
     d.alpha 
0.0002253324 
attr(,"fit.p.value")
[1] 0.6758861

MDFS documentation built on Feb. 10, 2021, 1:08 a.m.

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