caPartUtilities: Function caPartUtilities calculates matrix of individual...
In conjoint: An Implementation of Conjoint Analysis Method
Description
Usage
Arguments
Author(s)
References
See Also
Examples
View source: R/caPartUtilities.R
Description
Function caPartUtilities calculates matrix of individual utilities for respondents. Function returns matrix of partial utilities (parameters of conjoint model regresion) for all artificial variables including parameters for reference levels for respondents (with intercept on first place).
Usage
1
caPartUtilities(y, x, z)
Arguments
y
matrix of preferences
x
matrix of profiles
z
vector of levels names
Author(s)
Andrzej Bak andrzej.bak@ue.wroc.pl,
Tomasz Bartlomowicz tomasz.bartlomowicz@ue.wroc.pl
Department of Econometrics and Computer Science, Wroclaw University of Economics, Poland http://keii.ue.wroc.pl/conjoint
References
Bak A., Bartlomowicz T. (2012), Conjoint analysis method and its implementation in conjoint R package, [In:] Pociecha J., Decker R. (Eds.), Data analysis methods and its applications, C.H.Beck, Warszawa, p.239-248.
Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statystyczna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], Wydawnictwo Naukowe PWN, Warszawa, p. 283-317.
Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, p. 103-123.
SPSS 6.1 Categories (1994), SPSS Inc., Chicago.
See Also
caUtilities, caTotalUtilities and ShowAllUtilities
Examples
1
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18
#Example 1
library(conjoint)
data(tea)
uslall<-caPartUtilities(tprefm,tprof,tlevn)
print(uslall)
#Example 2
library(conjoint)
data(chocolate)
uslall<-caPartUtilities(cprefm,cprof,clevn)
print(head(uslall))
#Example 3
library(conjoint)
data(journey)
usl<-caPartUtilities(jpref[1,],jprof,jlevn)
print("Individual (partial) utilities for first respondent:")
print(usl)
Example output
intercept low medium high black green red bags granulated
[1,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[2,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[3,] 4.029 2.563 -1.182 -1.382 -0.248 2.352 -2.103 -0.382 -2.437
[4,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[5,] 6.250 -2.333 2.567 -0.233 -0.033 -0.633 0.667 -0.233 -0.333
[6,] 1.578 -0.713 -0.144 0.856 1.456 -0.744 -0.713 0.656 -0.713
[7,] 2.635 -0.920 -1.040 1.960 -0.707 0.293 0.414 -1.107 -2.586
[8,] 4.405 -0.425 0.413 0.013 0.546 -2.454 1.908 1.479 0.241
[9,] 3.546 -0.966 0.883 0.083 2.216 1.416 -3.632 -0.917 -0.966
[10,] 5.460 0.678 -0.639 -0.039 0.228 0.428 -0.655 -1.172 -2.655
[11,] 5.626 0.678 -0.239 -0.439 0.228 0.428 -0.655 -1.439 -2.322
[12,] 5.566 0.862 -0.631 -0.231 0.502 0.302 -0.805 -0.898 -2.805
[13,] 1.319 0.552 0.424 -0.976 0.691 -0.909 0.218 -0.243 -1.115
[14,] 1.925 -0.264 -0.568 0.832 1.499 -1.901 0.402 0.099 -0.598
[15,] 1.776 -0.793 -0.103 0.897 3.697 -1.903 -1.793 1.097 0.207
[16,] 2.296 -0.632 -0.284 0.916 3.383 -1.417 -1.966 0.983 0.034
[17,] 4.506 1.379 0.510 -1.890 -1.090 -0.290 1.379 0.377 0.046
[18,] 1.075 -0.402 -0.699 1.101 0.968 -0.232 -0.736 1.101 -0.402
[19,] 3.486 -1.115 0.757 0.357 -0.976 2.424 -1.448 -0.376 0.552
[20,] 1.736 0.218 -0.609 0.391 3.124 -1.676 -1.448 0.591 -0.782
[21,] 2.236 0.885 -1.343 0.457 -0.143 1.257 -1.115 1.591 -1.782
[22,] 4.874 1.655 -1.628 -0.028 0.506 0.506 -1.011 0.772 -2.345
[23,] 0.256 0.379 0.010 -0.390 0.544 -0.256 -0.287 -0.056 -0.287
[24,] 3.664 -1.690 0.245 1.445 -3.622 0.978 2.644 -0.289 -2.023
[25,] 3.006 1.713 -0.156 -1.556 -0.623 3.577 -2.954 0.177 -0.954
[26,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[27,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[28,] 2.239 1.575 0.013 -1.587 -1.454 3.546 -2.092 0.346 -1.092
[29,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[30,] 6.250 -2.333 2.567 -0.233 -0.033 -0.633 0.667 -0.233 -0.333
[31,] 1.578 -0.713 -0.144 0.856 1.456 -0.744 -0.713 0.656 -0.713
[32,] 2.635 -0.920 -1.040 1.960 -0.707 0.293 0.414 -1.107 -2.586
[33,] 4.405 -0.425 0.413 0.013 0.546 -2.454 1.908 1.479 0.241
[34,] 3.546 -0.966 0.883 0.083 2.216 1.416 -3.632 -0.917 -0.966
[35,] 5.388 1.103 -0.652 -0.452 0.548 0.348 -0.897 -1.252 -2.897
[36,] 5.810 0.483 -0.441 -0.041 0.559 -0.041 -0.517 -1.041 -2.517
[37,] 5.681 0.782 -0.491 -0.291 0.443 0.443 -0.885 -1.224 -2.552
[38,] 1.572 0.575 0.613 -1.187 0.879 -1.121 0.241 -0.321 -0.759
[39,] 1.925 -0.264 -0.568 0.832 1.499 -1.901 0.402 0.099 -0.598
[40,] 1.621 -0.701 -0.349 1.051 3.451 -1.749 -1.701 1.251 0.299
[41,] 2.365 -0.747 -0.226 0.974 2.907 -1.493 -1.414 1.174 0.253
[42,] 4.506 1.379 0.510 -1.890 -1.090 -0.290 1.379 0.377 0.046
[43,] 1.822 1.241 -1.021 -0.221 2.779 -1.021 -1.759 1.313 -1.425
[44,] 3.486 -1.115 0.757 0.357 -0.976 2.424 -1.448 -0.376 0.552
[45,] 2.112 0.563 -0.482 -0.082 3.185 -1.415 -1.770 0.852 -1.103
[46,] 3.931 0.782 -0.991 0.209 0.276 0.276 -0.552 0.543 -1.885
[47,] 4.874 1.655 -1.628 -0.028 0.506 0.506 -1.011 0.772 -2.345
[48,] 2.417 1.333 0.833 -2.167 3.967 -1.633 -2.333 0.433 -1.667
[49,] 3.420 -1.310 1.255 0.055 0.455 -1.145 0.690 -0.478 0.356
[50,] 2.210 0.345 0.328 -0.672 0.461 -0.139 -0.322 -0.272 -0.655
[51,] 2.437 0.161 0.320 -0.480 0.253 0.253 -0.506 -1.547 -1.506
[52,] 2.948 -0.414 -0.193 0.607 1.674 -1.926 0.253 0.340 -0.080
[53,] 3.224 1.793 -1.097 -0.697 1.370 1.170 -2.540 1.637 -0.874
[54,] 2.721 -0.230 0.215 0.015 1.682 -1.118 -0.563 0.615 -0.230
[55,] 4.520 -0.506 0.753 -0.247 0.020 -0.180 0.161 -0.780 -0.839
[56,] 3.534 1.943 -0.071 -1.871 0.662 1.062 -1.724 -1.005 -1.391
[57,] 2.598 0.782 0.409 -1.191 1.476 -0.924 -0.552 0.876 -1.552
[58,] 5.250 0.000 -0.500 0.500 2.167 2.167 -4.333 -0.967 1.333
[59,] 3.652 -0.782 -0.109 0.891 -0.576 0.024 0.552 0.424 -0.448
[60,] 4.052 1.747 -0.874 -0.874 -3.340 2.260 1.080 0.593 -0.586
[61,] 3.109 2.207 -1.103 -1.103 1.030 1.430 -2.460 1.630 -1.460
[62,] 2.336 0.690 0.155 -0.845 0.422 1.222 -1.644 0.489 0.023
[63,] 3.046 -0.966 0.483 0.483 -0.584 0.216 0.368 -1.117 -0.966
[64,] 4.118 0.276 -0.438 0.162 -1.305 0.695 0.609 0.295 -0.391
[65,] 4.833 1.000 0.200 -1.200 0.800 0.200 -1.000 0.867 -0.333
[66,] 3.103 0.161 0.320 -0.480 0.253 0.253 -0.506 -1.214 -1.172
[67,] 2.983 -0.471 -0.264 0.736 1.602 -1.798 0.195 0.269 -0.138
[68,] 3.451 1.276 -0.838 -0.438 1.495 0.895 -2.391 1.562 -0.724
[69,] 3.055 -0.230 0.215 0.015 2.348 -1.452 -0.897 0.615 -0.230
[70,] 4.520 -0.506 0.753 -0.247 0.020 -0.180 0.161 -0.780 -0.839
[71,] 4.428 1.759 -0.079 -1.679 0.587 0.987 -1.575 -0.879 -1.241
[72,] 1.759 0.069 0.366 -0.434 2.899 -1.301 -1.598 -0.368 -0.264
[73,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[74,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[75,] 4.029 2.563 -1.182 -1.382 -0.248 2.352 -2.103 -0.382 -2.437
[76,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[77,] 6.250 -2.333 2.567 -0.233 -0.033 -0.633 0.667 -0.233 -0.333
[78,] 1.578 -0.713 -0.144 0.856 1.456 -0.744 -0.713 0.656 -0.713
[79,] 3.302 -0.920 -0.840 1.760 -0.707 0.293 0.414 -0.974 -2.253
[80,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[81,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[82,] 3.089 1.379 0.010 -1.390 -1.323 3.277 -1.954 0.277 -0.954
[83,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[84,] 5.388 1.103 -0.652 -0.452 0.548 0.348 -0.897 -1.252 -2.897
[85,] 1.572 0.575 0.613 -1.187 0.879 -1.121 0.241 -0.321 -0.759
[86,] 1.925 -0.264 -0.568 0.832 1.499 -1.901 0.402 0.099 -0.598
[87,] 3.261 -0.241 -0.479 0.721 2.921 -1.679 -1.241 1.254 0.092
[88,] 2.365 -0.747 -0.226 0.974 2.907 -1.493 -1.414 1.174 0.253
[89,] 4.506 1.379 0.510 -1.890 -1.090 -0.290 1.379 0.377 0.046
[90,] 2.411 1.287 -0.944 -0.344 2.456 -0.744 -1.713 1.323 -1.046
[91,] 5.437 1.494 0.453 -1.947 -0.947 -0.547 1.494 0.520 0.161
[92,] 2.135 -0.586 0.293 0.293 1.426 -0.174 -1.253 0.626 -0.253
[93,] 3.486 -1.115 0.757 0.357 -0.976 2.424 -1.448 -0.376 0.552
[94,] 2.701 0.609 -0.205 -0.405 3.195 -0.805 -2.391 0.329 -0.057
[95,] 2.236 0.885 -1.343 0.457 -0.143 1.257 -1.115 1.591 -1.782
[96,] 4.641 1.793 -1.397 -0.397 0.537 0.337 -0.874 0.203 -2.207
[97,] 2.853 1.161 0.220 -1.380 4.620 -1.780 -2.839 0.020 -0.839
[98,] 4.626 0.011 0.494 -0.506 0.561 -2.239 1.678 1.494 0.011
[99,] 3.767 -0.529 0.564 -0.036 2.231 1.631 -3.862 -0.702 -1.195
[100,] 5.868 0.943 -0.671 -0.271 0.729 0.329 -1.057 -1.205 -2.391
leafy yes no
[1,] 0.859 0.629 -0.629
[2,] -0.495 -0.681 0.681
[3,] 2.818 0.776 -0.776
[4,] 0.975 0.121 -0.121
[5,] 0.567 -1.250 1.250
[6,] 0.056 1.595 -1.595
[7,] 3.693 0.147 -0.147
[8,] -1.721 -1.060 1.060
[9,] 1.883 -0.259 0.259
[10,] 3.828 1.414 -1.414
[11,] 3.761 0.914 -0.914
[12,] 3.702 1.284 -1.284
[13,] 1.357 -0.388 0.388
[14,] 0.499 0.983 -0.983
[15,] -1.303 -0.052 0.052
[16,] -1.017 -0.009 0.009
[17,] -0.423 -0.345 0.345
[18,] -0.699 1.017 -1.017
[19,] -0.176 0.112 -0.112
[20,] 0.191 0.862 -0.862
[21,] 0.191 1.362 -1.362
[22,] 1.572 1.586 -1.586
[23,] 0.344 -0.095 0.095
[24,] 2.311 -1.078 1.078
[25,] 0.777 0.155 -0.155
[26,] 0.859 0.629 -0.629
[27,] -0.495 -0.681 0.681
[28,] 0.746 0.440 -0.440
[29,] 0.975 0.121 -0.121
[30,] 0.567 -1.250 1.250
[31,] 0.056 1.595 -1.595
[32,] 3.693 0.147 -0.147
[33,] -1.721 -1.060 1.060
[34,] 1.883 -0.259 0.259
[35,] 4.148 1.474 -1.474
[36,] 3.559 0.879 -0.879
[37,] 3.776 1.388 -1.388
[38,] 1.079 -0.560 0.560
[39,] 0.499 0.983 -0.983
[40,] -1.549 -0.241 0.241
[41,] -1.426 -0.147 0.147
[42,] -0.423 -0.345 0.345
[43,] 0.113 0.190 -0.190
[44,] -0.176 0.112 -0.112
[45,] 0.252 1.026 -1.026
[46,] 1.343 2.138 -2.138
[47,] 1.572 1.586 -1.586
[48,] 1.233 0.250 -0.250
[49,] 0.122 2.328 -2.328
[50,] 0.928 0.664 -0.664
[51,] 3.053 -0.207 0.207
[52,] -0.260 0.603 -0.603
[53,] -0.763 2.052 -2.052
[54,] -0.385 0.474 -0.474
[55,] 1.620 0.043 -0.043
[56,] 2.395 -0.569 0.569
[57,] 0.676 1.138 -1.138
[58,] -0.367 -0.250 0.250
[59,] 0.024 1.612 -1.612
[60,] -0.007 0.397 -0.397
[61,] -0.170 0.948 -0.948
[62,] -0.511 1.078 -1.078
[63,] 2.083 0.241 -0.241
[64,] 0.095 1.181 -1.181
[65,] -0.533 1.500 -1.500
[66,] 2.386 -0.207 0.207
[67,] -0.131 0.534 -0.534
[68,] -0.838 2.181 -2.181
[69,] -0.385 0.474 -0.474
[70,] 1.620 0.043 -0.043
[71,] 2.121 -0.440 0.440
[72,] 0.632 0.483 -0.483
[73,] 0.859 0.629 -0.629
[74,] -0.495 -0.681 0.681
[75,] 2.818 0.776 -0.776
[76,] 0.975 0.121 -0.121
[77,] 0.567 -1.250 1.250
[78,] 0.056 1.595 -1.595
[79,] 3.226 0.147 -0.147
[80,] 0.859 0.629 -0.629
[81,] -0.495 -0.681 0.681
[82,] 0.677 0.405 -0.405
[83,] 0.975 0.121 -0.121
[84,] 4.148 1.474 -1.474
[85,] 1.079 -0.560 0.560
[86,] 0.499 0.983 -0.983
[87,] -1.346 0.060 -0.060
[88,] -1.426 -0.147 0.147
[89,] -0.423 -0.345 0.345
[90,] -0.277 0.095 -0.095
[91,] -0.680 -0.207 0.207
[92,] -0.374 1.647 -1.647
[93,] -0.176 0.112 -0.112
[94,] -0.271 0.931 -0.931
[95,] 0.191 1.362 -1.362
[96,] 2.003 1.302 -1.302
[97,] 0.820 0.043 -0.043
[98,] -1.506 -1.086 1.086
[99,] 1.898 -0.284 0.284
[100,] 3.595 1.431 -1.431
intercept milk walnut delicaties dark low average high paperback
[1,] 8.583 2.00 -2.00 6.00 -6.00 0.000 -0.250 0.250 0.000
[2,] 8.500 0.00 -2.75 0.50 2.25 -2.667 0.333 2.333 0.500
[3,] 8.625 -6.00 2.00 -2.00 6.00 -0.667 -0.167 0.833 0.375
[4,] 8.208 -2.00 0.25 -1.75 3.50 2.333 0.333 -2.667 -0.750
[5,] 8.833 -1.75 0.75 -4.50 5.50 -1.333 -0.583 1.917 0.375
[6,] 8.292 -2.25 -2.50 5.25 -0.50 0.500 0.875 -1.375 -0.375
hardback light middle heavy little much
[1,] 0.000 -0.333 -0.083 0.417 -1.000 1.000
[2,] -0.500 2.667 -1.083 -1.583 0.250 -0.250
[3,] -0.375 0.167 0.042 -0.208 -0.375 0.375
[4,] 0.750 -1.167 2.458 -1.292 0.125 -0.125
[5,] -0.375 0.000 1.500 -1.500 -0.750 0.750
[6,] 0.375 0.333 0.333 -0.667 0.625 -0.625
[1] "Individual (partial) utilities for first respondent:"
intercept cognitive vacation health business organized own summer winter
[1,] 4.938 -0.937 -2.687 3.639 -0.014 -1.562 1.562 0.692 -0.692
1-2-3 star_hotel 4-5 star_hotel guesthouse hostel
[1,] 0.063 1.639 0.313 -2.014
conjoint documentation built on May 1, 2019, 8:05 p.m.
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Description Usage Arguments Author(s) References See Also Examples
View source: R/caPartUtilities.R
Description
Function caPartUtilities calculates matrix of individual utilities for respondents. Function returns matrix of partial utilities (parameters of conjoint model regresion) for all artificial variables including parameters for reference levels for respondents (with intercept on first place).
Usage
1 | caPartUtilities(y, x, z)
|
Arguments
y |
matrix of preferences |
x |
matrix of profiles |
z |
vector of levels names |
Author(s)
Andrzej Bak andrzej.bak@ue.wroc.pl,
Tomasz Bartlomowicz tomasz.bartlomowicz@ue.wroc.pl
Department of Econometrics and Computer Science, Wroclaw University of Economics, Poland http://keii.ue.wroc.pl/conjoint
References
Bak A., Bartlomowicz T. (2012), Conjoint analysis method and its implementation in conjoint R package, [In:] Pociecha J., Decker R. (Eds.), Data analysis methods and its applications, C.H.Beck, Warszawa, p.239-248.
Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statystyczna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], Wydawnictwo Naukowe PWN, Warszawa, p. 283-317.
Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, p. 103-123.
SPSS 6.1 Categories (1994), SPSS Inc., Chicago.
See Also
caUtilities, caTotalUtilities and ShowAllUtilities
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | #Example 1
library(conjoint)
data(tea)
uslall<-caPartUtilities(tprefm,tprof,tlevn)
print(uslall)
#Example 2
library(conjoint)
data(chocolate)
uslall<-caPartUtilities(cprefm,cprof,clevn)
print(head(uslall))
#Example 3
library(conjoint)
data(journey)
usl<-caPartUtilities(jpref[1,],jprof,jlevn)
print("Individual (partial) utilities for first respondent:")
print(usl)
|
Example output
intercept low medium high black green red bags granulated
[1,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[2,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[3,] 4.029 2.563 -1.182 -1.382 -0.248 2.352 -2.103 -0.382 -2.437
[4,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[5,] 6.250 -2.333 2.567 -0.233 -0.033 -0.633 0.667 -0.233 -0.333
[6,] 1.578 -0.713 -0.144 0.856 1.456 -0.744 -0.713 0.656 -0.713
[7,] 2.635 -0.920 -1.040 1.960 -0.707 0.293 0.414 -1.107 -2.586
[8,] 4.405 -0.425 0.413 0.013 0.546 -2.454 1.908 1.479 0.241
[9,] 3.546 -0.966 0.883 0.083 2.216 1.416 -3.632 -0.917 -0.966
[10,] 5.460 0.678 -0.639 -0.039 0.228 0.428 -0.655 -1.172 -2.655
[11,] 5.626 0.678 -0.239 -0.439 0.228 0.428 -0.655 -1.439 -2.322
[12,] 5.566 0.862 -0.631 -0.231 0.502 0.302 -0.805 -0.898 -2.805
[13,] 1.319 0.552 0.424 -0.976 0.691 -0.909 0.218 -0.243 -1.115
[14,] 1.925 -0.264 -0.568 0.832 1.499 -1.901 0.402 0.099 -0.598
[15,] 1.776 -0.793 -0.103 0.897 3.697 -1.903 -1.793 1.097 0.207
[16,] 2.296 -0.632 -0.284 0.916 3.383 -1.417 -1.966 0.983 0.034
[17,] 4.506 1.379 0.510 -1.890 -1.090 -0.290 1.379 0.377 0.046
[18,] 1.075 -0.402 -0.699 1.101 0.968 -0.232 -0.736 1.101 -0.402
[19,] 3.486 -1.115 0.757 0.357 -0.976 2.424 -1.448 -0.376 0.552
[20,] 1.736 0.218 -0.609 0.391 3.124 -1.676 -1.448 0.591 -0.782
[21,] 2.236 0.885 -1.343 0.457 -0.143 1.257 -1.115 1.591 -1.782
[22,] 4.874 1.655 -1.628 -0.028 0.506 0.506 -1.011 0.772 -2.345
[23,] 0.256 0.379 0.010 -0.390 0.544 -0.256 -0.287 -0.056 -0.287
[24,] 3.664 -1.690 0.245 1.445 -3.622 0.978 2.644 -0.289 -2.023
[25,] 3.006 1.713 -0.156 -1.556 -0.623 3.577 -2.954 0.177 -0.954
[26,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[27,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[28,] 2.239 1.575 0.013 -1.587 -1.454 3.546 -2.092 0.346 -1.092
[29,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[30,] 6.250 -2.333 2.567 -0.233 -0.033 -0.633 0.667 -0.233 -0.333
[31,] 1.578 -0.713 -0.144 0.856 1.456 -0.744 -0.713 0.656 -0.713
[32,] 2.635 -0.920 -1.040 1.960 -0.707 0.293 0.414 -1.107 -2.586
[33,] 4.405 -0.425 0.413 0.013 0.546 -2.454 1.908 1.479 0.241
[34,] 3.546 -0.966 0.883 0.083 2.216 1.416 -3.632 -0.917 -0.966
[35,] 5.388 1.103 -0.652 -0.452 0.548 0.348 -0.897 -1.252 -2.897
[36,] 5.810 0.483 -0.441 -0.041 0.559 -0.041 -0.517 -1.041 -2.517
[37,] 5.681 0.782 -0.491 -0.291 0.443 0.443 -0.885 -1.224 -2.552
[38,] 1.572 0.575 0.613 -1.187 0.879 -1.121 0.241 -0.321 -0.759
[39,] 1.925 -0.264 -0.568 0.832 1.499 -1.901 0.402 0.099 -0.598
[40,] 1.621 -0.701 -0.349 1.051 3.451 -1.749 -1.701 1.251 0.299
[41,] 2.365 -0.747 -0.226 0.974 2.907 -1.493 -1.414 1.174 0.253
[42,] 4.506 1.379 0.510 -1.890 -1.090 -0.290 1.379 0.377 0.046
[43,] 1.822 1.241 -1.021 -0.221 2.779 -1.021 -1.759 1.313 -1.425
[44,] 3.486 -1.115 0.757 0.357 -0.976 2.424 -1.448 -0.376 0.552
[45,] 2.112 0.563 -0.482 -0.082 3.185 -1.415 -1.770 0.852 -1.103
[46,] 3.931 0.782 -0.991 0.209 0.276 0.276 -0.552 0.543 -1.885
[47,] 4.874 1.655 -1.628 -0.028 0.506 0.506 -1.011 0.772 -2.345
[48,] 2.417 1.333 0.833 -2.167 3.967 -1.633 -2.333 0.433 -1.667
[49,] 3.420 -1.310 1.255 0.055 0.455 -1.145 0.690 -0.478 0.356
[50,] 2.210 0.345 0.328 -0.672 0.461 -0.139 -0.322 -0.272 -0.655
[51,] 2.437 0.161 0.320 -0.480 0.253 0.253 -0.506 -1.547 -1.506
[52,] 2.948 -0.414 -0.193 0.607 1.674 -1.926 0.253 0.340 -0.080
[53,] 3.224 1.793 -1.097 -0.697 1.370 1.170 -2.540 1.637 -0.874
[54,] 2.721 -0.230 0.215 0.015 1.682 -1.118 -0.563 0.615 -0.230
[55,] 4.520 -0.506 0.753 -0.247 0.020 -0.180 0.161 -0.780 -0.839
[56,] 3.534 1.943 -0.071 -1.871 0.662 1.062 -1.724 -1.005 -1.391
[57,] 2.598 0.782 0.409 -1.191 1.476 -0.924 -0.552 0.876 -1.552
[58,] 5.250 0.000 -0.500 0.500 2.167 2.167 -4.333 -0.967 1.333
[59,] 3.652 -0.782 -0.109 0.891 -0.576 0.024 0.552 0.424 -0.448
[60,] 4.052 1.747 -0.874 -0.874 -3.340 2.260 1.080 0.593 -0.586
[61,] 3.109 2.207 -1.103 -1.103 1.030 1.430 -2.460 1.630 -1.460
[62,] 2.336 0.690 0.155 -0.845 0.422 1.222 -1.644 0.489 0.023
[63,] 3.046 -0.966 0.483 0.483 -0.584 0.216 0.368 -1.117 -0.966
[64,] 4.118 0.276 -0.438 0.162 -1.305 0.695 0.609 0.295 -0.391
[65,] 4.833 1.000 0.200 -1.200 0.800 0.200 -1.000 0.867 -0.333
[66,] 3.103 0.161 0.320 -0.480 0.253 0.253 -0.506 -1.214 -1.172
[67,] 2.983 -0.471 -0.264 0.736 1.602 -1.798 0.195 0.269 -0.138
[68,] 3.451 1.276 -0.838 -0.438 1.495 0.895 -2.391 1.562 -0.724
[69,] 3.055 -0.230 0.215 0.015 2.348 -1.452 -0.897 0.615 -0.230
[70,] 4.520 -0.506 0.753 -0.247 0.020 -0.180 0.161 -0.780 -0.839
[71,] 4.428 1.759 -0.079 -1.679 0.587 0.987 -1.575 -0.879 -1.241
[72,] 1.759 0.069 0.366 -0.434 2.899 -1.301 -1.598 -0.368 -0.264
[73,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[74,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[75,] 4.029 2.563 -1.182 -1.382 -0.248 2.352 -2.103 -0.382 -2.437
[76,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[77,] 6.250 -2.333 2.567 -0.233 -0.033 -0.633 0.667 -0.233 -0.333
[78,] 1.578 -0.713 -0.144 0.856 1.456 -0.744 -0.713 0.656 -0.713
[79,] 3.302 -0.920 -0.840 1.760 -0.707 0.293 0.414 -0.974 -2.253
[80,] 3.394 -1.517 -1.141 2.659 -0.475 -0.675 1.149 0.659 -1.517
[81,] 5.049 3.391 -0.695 -2.695 -1.029 0.971 0.057 1.105 -0.609
[82,] 3.089 1.379 0.010 -1.390 -1.323 3.277 -1.954 0.277 -0.954
[83,] 5.856 -1.149 -0.025 1.175 -0.492 1.308 -0.816 -0.825 -0.149
[84,] 5.388 1.103 -0.652 -0.452 0.548 0.348 -0.897 -1.252 -2.897
[85,] 1.572 0.575 0.613 -1.187 0.879 -1.121 0.241 -0.321 -0.759
[86,] 1.925 -0.264 -0.568 0.832 1.499 -1.901 0.402 0.099 -0.598
[87,] 3.261 -0.241 -0.479 0.721 2.921 -1.679 -1.241 1.254 0.092
[88,] 2.365 -0.747 -0.226 0.974 2.907 -1.493 -1.414 1.174 0.253
[89,] 4.506 1.379 0.510 -1.890 -1.090 -0.290 1.379 0.377 0.046
[90,] 2.411 1.287 -0.944 -0.344 2.456 -0.744 -1.713 1.323 -1.046
[91,] 5.437 1.494 0.453 -1.947 -0.947 -0.547 1.494 0.520 0.161
[92,] 2.135 -0.586 0.293 0.293 1.426 -0.174 -1.253 0.626 -0.253
[93,] 3.486 -1.115 0.757 0.357 -0.976 2.424 -1.448 -0.376 0.552
[94,] 2.701 0.609 -0.205 -0.405 3.195 -0.805 -2.391 0.329 -0.057
[95,] 2.236 0.885 -1.343 0.457 -0.143 1.257 -1.115 1.591 -1.782
[96,] 4.641 1.793 -1.397 -0.397 0.537 0.337 -0.874 0.203 -2.207
[97,] 2.853 1.161 0.220 -1.380 4.620 -1.780 -2.839 0.020 -0.839
[98,] 4.626 0.011 0.494 -0.506 0.561 -2.239 1.678 1.494 0.011
[99,] 3.767 -0.529 0.564 -0.036 2.231 1.631 -3.862 -0.702 -1.195
[100,] 5.868 0.943 -0.671 -0.271 0.729 0.329 -1.057 -1.205 -2.391
leafy yes no
[1,] 0.859 0.629 -0.629
[2,] -0.495 -0.681 0.681
[3,] 2.818 0.776 -0.776
[4,] 0.975 0.121 -0.121
[5,] 0.567 -1.250 1.250
[6,] 0.056 1.595 -1.595
[7,] 3.693 0.147 -0.147
[8,] -1.721 -1.060 1.060
[9,] 1.883 -0.259 0.259
[10,] 3.828 1.414 -1.414
[11,] 3.761 0.914 -0.914
[12,] 3.702 1.284 -1.284
[13,] 1.357 -0.388 0.388
[14,] 0.499 0.983 -0.983
[15,] -1.303 -0.052 0.052
[16,] -1.017 -0.009 0.009
[17,] -0.423 -0.345 0.345
[18,] -0.699 1.017 -1.017
[19,] -0.176 0.112 -0.112
[20,] 0.191 0.862 -0.862
[21,] 0.191 1.362 -1.362
[22,] 1.572 1.586 -1.586
[23,] 0.344 -0.095 0.095
[24,] 2.311 -1.078 1.078
[25,] 0.777 0.155 -0.155
[26,] 0.859 0.629 -0.629
[27,] -0.495 -0.681 0.681
[28,] 0.746 0.440 -0.440
[29,] 0.975 0.121 -0.121
[30,] 0.567 -1.250 1.250
[31,] 0.056 1.595 -1.595
[32,] 3.693 0.147 -0.147
[33,] -1.721 -1.060 1.060
[34,] 1.883 -0.259 0.259
[35,] 4.148 1.474 -1.474
[36,] 3.559 0.879 -0.879
[37,] 3.776 1.388 -1.388
[38,] 1.079 -0.560 0.560
[39,] 0.499 0.983 -0.983
[40,] -1.549 -0.241 0.241
[41,] -1.426 -0.147 0.147
[42,] -0.423 -0.345 0.345
[43,] 0.113 0.190 -0.190
[44,] -0.176 0.112 -0.112
[45,] 0.252 1.026 -1.026
[46,] 1.343 2.138 -2.138
[47,] 1.572 1.586 -1.586
[48,] 1.233 0.250 -0.250
[49,] 0.122 2.328 -2.328
[50,] 0.928 0.664 -0.664
[51,] 3.053 -0.207 0.207
[52,] -0.260 0.603 -0.603
[53,] -0.763 2.052 -2.052
[54,] -0.385 0.474 -0.474
[55,] 1.620 0.043 -0.043
[56,] 2.395 -0.569 0.569
[57,] 0.676 1.138 -1.138
[58,] -0.367 -0.250 0.250
[59,] 0.024 1.612 -1.612
[60,] -0.007 0.397 -0.397
[61,] -0.170 0.948 -0.948
[62,] -0.511 1.078 -1.078
[63,] 2.083 0.241 -0.241
[64,] 0.095 1.181 -1.181
[65,] -0.533 1.500 -1.500
[66,] 2.386 -0.207 0.207
[67,] -0.131 0.534 -0.534
[68,] -0.838 2.181 -2.181
[69,] -0.385 0.474 -0.474
[70,] 1.620 0.043 -0.043
[71,] 2.121 -0.440 0.440
[72,] 0.632 0.483 -0.483
[73,] 0.859 0.629 -0.629
[74,] -0.495 -0.681 0.681
[75,] 2.818 0.776 -0.776
[76,] 0.975 0.121 -0.121
[77,] 0.567 -1.250 1.250
[78,] 0.056 1.595 -1.595
[79,] 3.226 0.147 -0.147
[80,] 0.859 0.629 -0.629
[81,] -0.495 -0.681 0.681
[82,] 0.677 0.405 -0.405
[83,] 0.975 0.121 -0.121
[84,] 4.148 1.474 -1.474
[85,] 1.079 -0.560 0.560
[86,] 0.499 0.983 -0.983
[87,] -1.346 0.060 -0.060
[88,] -1.426 -0.147 0.147
[89,] -0.423 -0.345 0.345
[90,] -0.277 0.095 -0.095
[91,] -0.680 -0.207 0.207
[92,] -0.374 1.647 -1.647
[93,] -0.176 0.112 -0.112
[94,] -0.271 0.931 -0.931
[95,] 0.191 1.362 -1.362
[96,] 2.003 1.302 -1.302
[97,] 0.820 0.043 -0.043
[98,] -1.506 -1.086 1.086
[99,] 1.898 -0.284 0.284
[100,] 3.595 1.431 -1.431
intercept milk walnut delicaties dark low average high paperback
[1,] 8.583 2.00 -2.00 6.00 -6.00 0.000 -0.250 0.250 0.000
[2,] 8.500 0.00 -2.75 0.50 2.25 -2.667 0.333 2.333 0.500
[3,] 8.625 -6.00 2.00 -2.00 6.00 -0.667 -0.167 0.833 0.375
[4,] 8.208 -2.00 0.25 -1.75 3.50 2.333 0.333 -2.667 -0.750
[5,] 8.833 -1.75 0.75 -4.50 5.50 -1.333 -0.583 1.917 0.375
[6,] 8.292 -2.25 -2.50 5.25 -0.50 0.500 0.875 -1.375 -0.375
hardback light middle heavy little much
[1,] 0.000 -0.333 -0.083 0.417 -1.000 1.000
[2,] -0.500 2.667 -1.083 -1.583 0.250 -0.250
[3,] -0.375 0.167 0.042 -0.208 -0.375 0.375
[4,] 0.750 -1.167 2.458 -1.292 0.125 -0.125
[5,] -0.375 0.000 1.500 -1.500 -0.750 0.750
[6,] 0.375 0.333 0.333 -0.667 0.625 -0.625
[1] "Individual (partial) utilities for first respondent:"
intercept cognitive vacation health business organized own summer winter
[1,] 4.938 -0.937 -2.687 3.639 -0.014 -1.562 1.562 0.692 -0.692
1-2-3 star_hotel 4-5 star_hotel guesthouse hostel
[1,] 0.063 1.639 0.313 -2.014
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