IRT2PL Winny
Heru Wiryanto
January 8, 2017
## Loading required package: sm## Package 'sm', version 2.2-5.4: type help(sm) for summary information## Loading required package: ltm## Loading required package: MASS##
## Attaching package: 'MASS'## The following object is masked from 'package:sm':
##
## muscle## Loading required package: msm## Loading required package: polycor1st Round
Estimation
## Warning: glm.fit: algorithm did not converge
## Warning: glm.fit: algorithm did not converge## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred## Warning: glm.fit: algorithm did not converge
## Warning: glm.fit: algorithm did not converge## Warning in tpm(resp, control = list(GHk = nqp), max.guessing = 1): Hessian matrix at convergence contains infinite or missing values; unstable solution.## est sem n
## [1,] -2.25240583 0.4629227 75
## [2,] -0.34324341 0.3333851 75
## [3,] 0.86256600 0.4043994 75
## [4,] -0.05351663 0.3466248 75
## [5,] -0.80933721 0.3169242 75
## [6,] -0.63109485 0.3155080 75Item Parameters
Sort Item Parameters according to Item Discrimination
## discrimination difficulty guessing
## Q..5..1 11.996 2.895000e+00 0.167
## Q..11..1 1.476 -4.000000e-02 0.504
## Q..45..1 0.796 3.477000e+00 0.000
## Q..17..1 0.465 1.885000e+00 0.218
## Q..55..1 0.436 7.606000e+00 0.000
## Q..72..1 0.404 1.505000e+00 0.000
## Q..49..1 0.304 6.497000e+00 0.000
## Q..19..1 0.217 7.660000e-01 0.011
## Q..8..1 0.177 -1.543400e+01 0.061
## Q..18..1 0.060 -9.806000e+00 0.077
## Q..24..1 0.055 2.798000e+00 0.170
## Q..13..1 0.031 -5.738000e+00 0.127
## Q..1..1 0.000 -4.118904e+08 0.051
## Q..71..1 0.000 -4.119748e+08 0.053
## Q..21..1 0.000 -2.719466e+09 0.000
## Q..43..1 -0.011 -1.895300e+01 0.155
## Q..36..1 -0.021 -4.967500e+01 0.018
## Q..15..1 -0.022 3.072000e+00 0.136
## Q..27..1 -0.085 5.259000e+00 0.129
## Q..2..1 -0.092 3.183300e+01 0.063
## Q..74..1 -0.101 -9.317000e+00 0.015
## Q..22..1 -0.121 -1.688000e+00 0.014
## Q..29..1 -0.122 -6.896000e+00 0.027
## Q..34..1 -0.156 -6.180000e-01 0.075
## Q..47..1 -0.167 8.828000e+00 0.070
## Q..7..1 -0.180 -3.957000e+00 0.088
## Q..25..1 -0.210 -1.413000e+00 0.002
## Q..50..1 -0.259 3.809000e+00 0.050
## Q..56..1 -0.264 9.980000e-01 0.001
## Q..66..1 -0.338 2.296000e+00 0.002
## Q..26..1 -0.371 9.491000e+00 0.062
## Q..30..1 -0.383 1.453000e+00 0.004
## Q..14..1 -0.384 2.910000e+00 0.009
## Q..39..1 -0.393 7.667000e+00 0.043
## Q..9..1 -0.431 1.085300e+01 0.055
## Q..10..1 -0.527 3.865000e+00 0.013
## Q..12..1 -0.550 4.092000e+00 0.008
## Q..37..1 -0.554 7.267000e+00 0.070
## Q..28..1 -0.580 -1.435000e+00 0.547
## Q..64..1 -0.580 2.564000e+00 0.084
## Q..44..1 -0.633 5.720000e-01 0.005
## Q..57..1 -0.650 -2.463000e+00 0.000
## Q..41..1 -0.655 1.910000e+00 0.002
## Q..70..1 -0.685 2.502000e+00 0.000
## Q..42..1 -0.698 1.001000e+00 0.000
## Q..35..1 -0.704 1.364000e+00 0.023
## Q..67..1 -0.708 3.098000e+00 0.034
## Q..6..1 -0.789 2.550000e-01 0.449
## Q..48..1 -0.858 -2.040000e-01 0.658
## Q..51..1 -0.859 1.930000e-01 0.000
## Q..31..1 -0.868 -3.019000e+00 0.000
## Q..61..1 -0.907 -3.190000e-01 0.000
## Q..40..1 -0.912 3.712000e+00 0.011
## Q..33..1 -0.925 2.751000e+00 0.037
## Q..58..1 -0.946 4.090000e-01 0.331
## Q..23..1 -1.001 6.930000e-01 0.436
## Q..63..1 -1.010 7.520000e-01 0.000
## Q..62..1 -1.031 -3.420000e-01 0.001
## Q..16..1 -1.080 -1.670000e+00 0.240
## Q..32..1 -1.193 1.470000e-01 0.460
## Q..53..1 -1.210 -1.279000e+00 0.123
## Q..54..1 -1.301 1.136000e+00 0.012
## Q..59..1 -1.315 1.197000e+00 0.000
## Q..38..1 -1.599 -3.820000e-01 0.246
## Q..69..1 -1.801 1.615000e+00 0.000
## Q..68..1 -1.936 2.213000e+00 0.000
## Q..75..1 -2.170 -2.220000e+00 0.210
## Q..3..1 -2.904 -4.320000e-01 0.745
## Q..52..1 -3.331 -4.530000e-01 0.219
## Q..65..1 -3.396 -8.160000e-01 0.357
## Q..20..1 -3.598 -1.482000e+00 0.087
## Q..73..1 -12.357 1.870000e-01 0.605
## Q..60..1 -21.447 -1.103000e+00 0.328
## Q..46..1 -31.107 -1.303000e+00 0.281
## Q..4..1 -110.658 1.815000e+00 0.000Most difficult to easiest items
## discrimination difficulty guessing
## Q..2..1 -0.092 3.183300e+01 0.063
## Q..9..1 -0.431 1.085300e+01 0.055
## Q..26..1 -0.371 9.491000e+00 0.062
## Q..47..1 -0.167 8.828000e+00 0.070
## Q..39..1 -0.393 7.667000e+00 0.043
## Q..55..1 0.436 7.606000e+00 0.000
## Q..37..1 -0.554 7.267000e+00 0.070
## Q..49..1 0.304 6.497000e+00 0.000
## Q..27..1 -0.085 5.259000e+00 0.129
## Q..12..1 -0.550 4.092000e+00 0.008
## Q..10..1 -0.527 3.865000e+00 0.013
## Q..50..1 -0.259 3.809000e+00 0.050
## Q..40..1 -0.912 3.712000e+00 0.011
## Q..45..1 0.796 3.477000e+00 0.000
## Q..67..1 -0.708 3.098000e+00 0.034
## Q..15..1 -0.022 3.072000e+00 0.136
## Q..14..1 -0.384 2.910000e+00 0.009
## Q..5..1 11.996 2.895000e+00 0.167
## Q..24..1 0.055 2.798000e+00 0.170
## Q..33..1 -0.925 2.751000e+00 0.037
## Q..64..1 -0.580 2.564000e+00 0.084
## Q..70..1 -0.685 2.502000e+00 0.000
## Q..66..1 -0.338 2.296000e+00 0.002
## Q..68..1 -1.936 2.213000e+00 0.000
## Q..41..1 -0.655 1.910000e+00 0.002
## Q..17..1 0.465 1.885000e+00 0.218
## Q..4..1 -110.658 1.815000e+00 0.000
## Q..69..1 -1.801 1.615000e+00 0.000
## Q..72..1 0.404 1.505000e+00 0.000
## Q..30..1 -0.383 1.453000e+00 0.004
## Q..35..1 -0.704 1.364000e+00 0.023
## Q..59..1 -1.315 1.197000e+00 0.000
## Q..54..1 -1.301 1.136000e+00 0.012
## Q..42..1 -0.698 1.001000e+00 0.000
## Q..56..1 -0.264 9.980000e-01 0.001
## Q..19..1 0.217 7.660000e-01 0.011
## Q..63..1 -1.010 7.520000e-01 0.000
## Q..23..1 -1.001 6.930000e-01 0.436
## Q..44..1 -0.633 5.720000e-01 0.005
## Q..58..1 -0.946 4.090000e-01 0.331
## Q..6..1 -0.789 2.550000e-01 0.449
## Q..51..1 -0.859 1.930000e-01 0.000
## Q..73..1 -12.357 1.870000e-01 0.605
## Q..32..1 -1.193 1.470000e-01 0.460
## Q..11..1 1.476 -4.000000e-02 0.504
## Q..48..1 -0.858 -2.040000e-01 0.658
## Q..61..1 -0.907 -3.190000e-01 0.000
## Q..62..1 -1.031 -3.420000e-01 0.001
## Q..38..1 -1.599 -3.820000e-01 0.246
## Q..3..1 -2.904 -4.320000e-01 0.745
## Q..52..1 -3.331 -4.530000e-01 0.219
## Q..34..1 -0.156 -6.180000e-01 0.075
## Q..65..1 -3.396 -8.160000e-01 0.357
## Q..60..1 -21.447 -1.103000e+00 0.328
## Q..53..1 -1.210 -1.279000e+00 0.123
## Q..46..1 -31.107 -1.303000e+00 0.281
## Q..25..1 -0.210 -1.413000e+00 0.002
## Q..28..1 -0.580 -1.435000e+00 0.547
## Q..20..1 -3.598 -1.482000e+00 0.087
## Q..16..1 -1.080 -1.670000e+00 0.240
## Q..22..1 -0.121 -1.688000e+00 0.014
## Q..75..1 -2.170 -2.220000e+00 0.210
## Q..57..1 -0.650 -2.463000e+00 0.000
## Q..31..1 -0.868 -3.019000e+00 0.000
## Q..7..1 -0.180 -3.957000e+00 0.088
## Q..13..1 0.031 -5.738000e+00 0.127
## Q..29..1 -0.122 -6.896000e+00 0.027
## Q..74..1 -0.101 -9.317000e+00 0.015
## Q..18..1 0.060 -9.806000e+00 0.077
## Q..8..1 0.177 -1.543400e+01 0.061
## Q..43..1 -0.011 -1.895300e+01 0.155
## Q..36..1 -0.021 -4.967500e+01 0.018
## Q..1..1 0.000 -4.118904e+08 0.051
## Q..71..1 0.000 -4.119748e+08 0.053
## Q..21..1 0.000 -2.719466e+09 0.0002nd round : Item Selection
Deleted Item : Very Hard Item difficulty >=3.0
Item no: 2,21,43,74,8,29,18
dataset$Q..2..1<-NULL
dataset$Q..21..1<-NULL
dataset$Q..43..1<-NULL
dataset$Q..74..1<-NULL
dataset$Q..8..1<-NULL
dataset$Q..29..1<-NULL
dataset$Q..18..1<-NULLDeleted Item : Very Easy Item difficulty <=3.0
Item n0: 67,14,45,10,12,50,40,15,24,49,39,37,47,55,26,9,27,36,1,71,13
dataset$Q..67..1<-NULL
dataset$Q..14..1<-NULL
dataset$Q..45..1<-NULL
dataset$Q..10..1<-NULL
dataset$Q..12..1<-NULL
dataset$Q..50..1<-NULL
dataset$Q..40..1<-NULL
dataset$Q..15..1<-NULL
dataset$Q..24..1<-NULL
dataset$Q..49..1<-NULL
dataset$Q..39..1<-NULL
dataset$Q..37..1<-NULL
dataset$Q..47..1<-NULL
dataset$Q..55..1<-NULL
dataset$Q..26..1<-NULL
dataset$Q..9..1<-NULL
dataset$Q..27..1<-NULL
dataset$Q..36..1<-NULL
dataset$Q..1..1<-NULL
dataset$Q..71..1<-NULL
dataset$Q..13..1<-NULL3PL Estimation
est3PL <- irtoys::est(resp = dataset, model = “3PL”, engine = “ltm”) theta3PL <- irtoys::eap(resp = dataset, ip = est3PL$est, qu = normal.qu()) head(theta3PL)
Item Parameters
Sort Item Parameters according to Item Discrimination
## discrimination difficulty guessing
## Q..5..1 11.996 2.895000e+00 0.167
## Q..11..1 1.476 -4.000000e-02 0.504
## Q..45..1 0.796 3.477000e+00 0.000
## Q..17..1 0.465 1.885000e+00 0.218
## Q..55..1 0.436 7.606000e+00 0.000
## Q..72..1 0.404 1.505000e+00 0.000
## Q..49..1 0.304 6.497000e+00 0.000
## Q..19..1 0.217 7.660000e-01 0.011
## Q..8..1 0.177 -1.543400e+01 0.061
## Q..18..1 0.060 -9.806000e+00 0.077
## Q..24..1 0.055 2.798000e+00 0.170
## Q..13..1 0.031 -5.738000e+00 0.127
## Q..1..1 0.000 -4.118904e+08 0.051
## Q..71..1 0.000 -4.119748e+08 0.053
## Q..21..1 0.000 -2.719466e+09 0.000
## Q..43..1 -0.011 -1.895300e+01 0.155
## Q..36..1 -0.021 -4.967500e+01 0.018
## Q..15..1 -0.022 3.072000e+00 0.136
## Q..27..1 -0.085 5.259000e+00 0.129
## Q..2..1 -0.092 3.183300e+01 0.063
## Q..74..1 -0.101 -9.317000e+00 0.015
## Q..22..1 -0.121 -1.688000e+00 0.014
## Q..29..1 -0.122 -6.896000e+00 0.027
## Q..34..1 -0.156 -6.180000e-01 0.075
## Q..47..1 -0.167 8.828000e+00 0.070
## Q..7..1 -0.180 -3.957000e+00 0.088
## Q..25..1 -0.210 -1.413000e+00 0.002
## Q..50..1 -0.259 3.809000e+00 0.050
## Q..56..1 -0.264 9.980000e-01 0.001
## Q..66..1 -0.338 2.296000e+00 0.002
## Q..26..1 -0.371 9.491000e+00 0.062
## Q..30..1 -0.383 1.453000e+00 0.004
## Q..14..1 -0.384 2.910000e+00 0.009
## Q..39..1 -0.393 7.667000e+00 0.043
## Q..9..1 -0.431 1.085300e+01 0.055
## Q..10..1 -0.527 3.865000e+00 0.013
## Q..12..1 -0.550 4.092000e+00 0.008
## Q..37..1 -0.554 7.267000e+00 0.070
## Q..28..1 -0.580 -1.435000e+00 0.547
## Q..64..1 -0.580 2.564000e+00 0.084
## Q..44..1 -0.633 5.720000e-01 0.005
## Q..57..1 -0.650 -2.463000e+00 0.000
## Q..41..1 -0.655 1.910000e+00 0.002
## Q..70..1 -0.685 2.502000e+00 0.000
## Q..42..1 -0.698 1.001000e+00 0.000
## Q..35..1 -0.704 1.364000e+00 0.023
## Q..67..1 -0.708 3.098000e+00 0.034
## Q..6..1 -0.789 2.550000e-01 0.449
## Q..48..1 -0.858 -2.040000e-01 0.658
## Q..51..1 -0.859 1.930000e-01 0.000
## Q..31..1 -0.868 -3.019000e+00 0.000
## Q..61..1 -0.907 -3.190000e-01 0.000
## Q..40..1 -0.912 3.712000e+00 0.011
## Q..33..1 -0.925 2.751000e+00 0.037
## Q..58..1 -0.946 4.090000e-01 0.331
## Q..23..1 -1.001 6.930000e-01 0.436
## Q..63..1 -1.010 7.520000e-01 0.000
## Q..62..1 -1.031 -3.420000e-01 0.001
## Q..16..1 -1.080 -1.670000e+00 0.240
## Q..32..1 -1.193 1.470000e-01 0.460
## Q..53..1 -1.210 -1.279000e+00 0.123
## Q..54..1 -1.301 1.136000e+00 0.012
## Q..59..1 -1.315 1.197000e+00 0.000
## Q..38..1 -1.599 -3.820000e-01 0.246
## Q..69..1 -1.801 1.615000e+00 0.000
## Q..68..1 -1.936 2.213000e+00 0.000
## Q..75..1 -2.170 -2.220000e+00 0.210
## Q..3..1 -2.904 -4.320000e-01 0.745
## Q..52..1 -3.331 -4.530000e-01 0.219
## Q..65..1 -3.396 -8.160000e-01 0.357
## Q..20..1 -3.598 -1.482000e+00 0.087
## Q..73..1 -12.357 1.870000e-01 0.605
## Q..60..1 -21.447 -1.103000e+00 0.328
## Q..46..1 -31.107 -1.303000e+00 0.281
## Q..4..1 -110.658 1.815000e+00 0.000Most difficult to easiest items
## discrimination difficulty guessing
## Q..2..1 -0.092 3.183300e+01 0.063
## Q..9..1 -0.431 1.085300e+01 0.055
## Q..26..1 -0.371 9.491000e+00 0.062
## Q..47..1 -0.167 8.828000e+00 0.070
## Q..39..1 -0.393 7.667000e+00 0.043
## Q..55..1 0.436 7.606000e+00 0.000
## Q..37..1 -0.554 7.267000e+00 0.070
## Q..49..1 0.304 6.497000e+00 0.000
## Q..27..1 -0.085 5.259000e+00 0.129
## Q..12..1 -0.550 4.092000e+00 0.008
## Q..10..1 -0.527 3.865000e+00 0.013
## Q..50..1 -0.259 3.809000e+00 0.050
## Q..40..1 -0.912 3.712000e+00 0.011
## Q..45..1 0.796 3.477000e+00 0.000
## Q..67..1 -0.708 3.098000e+00 0.034
## Q..15..1 -0.022 3.072000e+00 0.136
## Q..14..1 -0.384 2.910000e+00 0.009
## Q..5..1 11.996 2.895000e+00 0.167
## Q..24..1 0.055 2.798000e+00 0.170
## Q..33..1 -0.925 2.751000e+00 0.037
## Q..64..1 -0.580 2.564000e+00 0.084
## Q..70..1 -0.685 2.502000e+00 0.000
## Q..66..1 -0.338 2.296000e+00 0.002
## Q..68..1 -1.936 2.213000e+00 0.000
## Q..41..1 -0.655 1.910000e+00 0.002
## Q..17..1 0.465 1.885000e+00 0.218
## Q..4..1 -110.658 1.815000e+00 0.000
## Q..69..1 -1.801 1.615000e+00 0.000
## Q..72..1 0.404 1.505000e+00 0.000
## Q..30..1 -0.383 1.453000e+00 0.004
## Q..35..1 -0.704 1.364000e+00 0.023
## Q..59..1 -1.315 1.197000e+00 0.000
## Q..54..1 -1.301 1.136000e+00 0.012
## Q..42..1 -0.698 1.001000e+00 0.000
## Q..56..1 -0.264 9.980000e-01 0.001
## Q..19..1 0.217 7.660000e-01 0.011
## Q..63..1 -1.010 7.520000e-01 0.000
## Q..23..1 -1.001 6.930000e-01 0.436
## Q..44..1 -0.633 5.720000e-01 0.005
## Q..58..1 -0.946 4.090000e-01 0.331
## Q..6..1 -0.789 2.550000e-01 0.449
## Q..51..1 -0.859 1.930000e-01 0.000
## Q..73..1 -12.357 1.870000e-01 0.605
## Q..32..1 -1.193 1.470000e-01 0.460
## Q..11..1 1.476 -4.000000e-02 0.504
## Q..48..1 -0.858 -2.040000e-01 0.658
## Q..61..1 -0.907 -3.190000e-01 0.000
## Q..62..1 -1.031 -3.420000e-01 0.001
## Q..38..1 -1.599 -3.820000e-01 0.246
## Q..3..1 -2.904 -4.320000e-01 0.745
## Q..52..1 -3.331 -4.530000e-01 0.219
## Q..34..1 -0.156 -6.180000e-01 0.075
## Q..65..1 -3.396 -8.160000e-01 0.357
## Q..60..1 -21.447 -1.103000e+00 0.328
## Q..53..1 -1.210 -1.279000e+00 0.123
## Q..46..1 -31.107 -1.303000e+00 0.281
## Q..25..1 -0.210 -1.413000e+00 0.002
## Q..28..1 -0.580 -1.435000e+00 0.547
## Q..20..1 -3.598 -1.482000e+00 0.087
## Q..16..1 -1.080 -1.670000e+00 0.240
## Q..22..1 -0.121 -1.688000e+00 0.014
## Q..75..1 -2.170 -2.220000e+00 0.210
## Q..57..1 -0.650 -2.463000e+00 0.000
## Q..31..1 -0.868 -3.019000e+00 0.000
## Q..7..1 -0.180 -3.957000e+00 0.088
## Q..13..1 0.031 -5.738000e+00 0.127
## Q..29..1 -0.122 -6.896000e+00 0.027
## Q..74..1 -0.101 -9.317000e+00 0.015
## Q..18..1 0.060 -9.806000e+00 0.077
## Q..8..1 0.177 -1.543400e+01 0.061
## Q..43..1 -0.011 -1.895300e+01 0.155
## Q..36..1 -0.021 -4.967500e+01 0.018
## Q..1..1 0.000 -4.118904e+08 0.051
## Q..71..1 0.000 -4.119748e+08 0.053
## Q..21..1 0.000 -2.719466e+09 0.000Deleting item Discrimination >=2 or <=0
item no : 5,20,60,46,4,65,52,3
Estimation using 2PL
## est sem n
## [1,] 2.0087821 0.6036606 39
## [2,] 1.0096856 0.5394583 39
## [3,] -0.8920878 0.4233504 39
## [4,] 0.3051886 0.4913474 39
## [5,] 1.0683980 0.5433778 39
## [6,] 0.9874824 0.5379713 39Item Parameters
Sort Item Parameters according to Item Discrimination
## discrimination difficulty
## Q..54..1 1.567 -1.021
## Q..68..1 1.540 -2.423
## Q..69..1 1.512 -1.745
## Q..73..1 1.401 -1.413
## Q..59..1 1.305 -1.187
## Q..33..1 1.213 -2.280
## Q..31..1 1.025 2.669
## Q..63..1 0.885 -0.811
## Q..62..1 0.882 0.394
## Q..38..1 0.878 -0.226
## Q..23..1 0.867 -1.801
## Q..61..1 0.771 0.378
## Q..35..1 0.763 -1.306
## Q..41..1 0.744 -1.701
## Q..51..1 0.742 -0.200
## Q..32..1 0.719 -1.671
## Q..6..1 0.711 -1.685
## Q..44..1 0.700 -0.523
## Q..42..1 0.685 -0.997
## Q..53..1 0.628 1.304
## Q..30..1 0.611 -0.948
## Q..16..1 0.599 0.898
## Q..58..1 0.559 -1.789
## Q..48..1 0.525 -2.991
## Q..57..1 0.524 2.997
## Q..70..1 0.521 -3.142
## Q..66..1 0.476 -1.659
## Q..56..1 0.444 -0.596
## Q..64..1 0.418 -3.685
## Q..28..1 0.404 -2.046
## Q..75..1 0.329 3.539
## Q..25..1 0.241 1.236
## Q..7..1 0.238 1.932
## Q..22..1 0.062 2.850
## Q..34..1 0.030 -1.957
## Q..19..1 -0.262 -0.528
## Q..17..1 -0.321 -0.558
## Q..72..1 -0.476 -1.276
## Q..11..1 -0.744 1.705Most difficult to easiest items
## discrimination difficulty
## Q..75..1 0.329 3.539
## Q..57..1 0.524 2.997
## Q..22..1 0.062 2.850
## Q..31..1 1.025 2.669
## Q..7..1 0.238 1.932
## Q..11..1 -0.744 1.705
## Q..53..1 0.628 1.304
## Q..25..1 0.241 1.236
## Q..16..1 0.599 0.898
## Q..62..1 0.882 0.394
## Q..61..1 0.771 0.378
## Q..51..1 0.742 -0.200
## Q..38..1 0.878 -0.226
## Q..44..1 0.700 -0.523
## Q..19..1 -0.262 -0.528
## Q..17..1 -0.321 -0.558
## Q..56..1 0.444 -0.596
## Q..63..1 0.885 -0.811
## Q..30..1 0.611 -0.948
## Q..42..1 0.685 -0.997
## Q..54..1 1.567 -1.021
## Q..59..1 1.305 -1.187
## Q..72..1 -0.476 -1.276
## Q..35..1 0.763 -1.306
## Q..73..1 1.401 -1.413
## Q..66..1 0.476 -1.659
## Q..32..1 0.719 -1.671
## Q..6..1 0.711 -1.685
## Q..41..1 0.744 -1.701
## Q..69..1 1.512 -1.745
## Q..58..1 0.559 -1.789
## Q..23..1 0.867 -1.801
## Q..34..1 0.030 -1.957
## Q..28..1 0.404 -2.046
## Q..33..1 1.213 -2.280
## Q..68..1 1.540 -2.423
## Q..48..1 0.525 -2.991
## Q..70..1 0.521 -3.142
## Q..64..1 0.418 -3.685Total Score 27
| Q..6..1 | Q..7..1 | Q..11..1 | Q..16..1 | Q..17..1 | Q..19..1 | Q..22..1 | Q..23..1 | Q..25..1 | Q..28..1 | Q..30..1 | Q..31..1 | Q..32..1 | Q..33..1 | Q..34..1 | Q..35..1 | Q..38..1 | Q..41..1 | Q..42..1 | Q..44..1 | Q..48..1 | Q..51..1 | Q..53..1 | Q..54..1 | Q..56..1 | Q..57..1 | Q..58..1 | Q..59..1 | Q..61..1 | Q..62..1 | Q..63..1 | Q..64..1 | Q..66..1 | Q..68..1 | Q..69..1 | Q..70..1 | Q..72..1 | Q..73..1 | Q..75..1 | theta | dataset.score | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0.359 | 27 |
| 16 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | -0.299 | 27 |
| 27 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0.641 | 27 |
| 29 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1.249 | 27 |
| 35 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | -0.108 | 27 |
| 60 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0.853 | 27 |
| 82 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1.103 | 27 |
| 90 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0.846 | 27 |
| 92 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | -0.077 | 27 |
| 102 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1.092 | 27 |
| 104 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0.563 | 27 |
Catatan : lihat Total Skore 27 tetapi kemampuannya beda.
Histogram total Score
Histogram Theta
Blue = Cutting Score