ShowAllUtilities: Function ShowAllUtilities sums up all results of utility...
In conjoint: An Implementation of Conjoint Analysis Method
Description
Usage
Arguments
Author(s)
References
See Also
Examples
View source: R/ShowAllUtilities.R
Description
Function ShowAllUtilities is a combination of following conjoint pakage's functions: caPartUtilities, caTotalUtilities, caUtilities and caImportance. Function ShowAllUtilities returns: matrix of partial utilities (basic matrix of utilities with the intercept), matrix of total utilities for n profiles and all respondents, vector of utilities for attribute's levels and vector of percentage attributes' importance, with sum of importance. The sum of importance should be 100%.
Usage
1
ShowAllUtilities(y, x, z)
Arguments
y
matrix of preferences
x
matrix of profiles
z
matrix of levles 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. (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.
Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, 103-123.
SPSS 6.1 Categories (1994), SPSS Inc., Chicago.
See Also
caImportance, caPartUtilities, caTotalUtilities and caUtilities
Examples
1
2
3
4
5
6
7
8
9
Example output
Call:
lm(formula = frml)
Residuals:
Min 1Q Median 3Q Max
-5,1888 -2,3761 -0,7512 2,2128 7,5134
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3,55336 0,09068 39,184 < 2e-16 ***
factor(x$price)1 0,24023 0,13245 1,814 0,070 .
factor(x$price)2 -0,14311 0,11485 -1,246 0,213
factor(x$variety)1 0,61489 0,11485 5,354 1,02e-07 ***
factor(x$variety)2 0,03489 0,11485 0,304 0,761
factor(x$kind)1 0,13689 0,11485 1,192 0,234
factor(x$kind)2 -0,88977 0,13245 -6,718 2,76e-11 ***
factor(x$aroma)1 0,41078 0,08492 4,837 1,48e-06 ***
---
Signif. codes: 0 '***' 0,001 '**' 0,01 '*' 0,05 '.' 0,1 ' ' 1
Residual standard error: 2,967 on 1292 degrees of freedom
Multiple R-squared: 0,09003, Adjusted R-squared: 0,0851
F-statistic: 18,26 on 7 and 1292 DF, p-value: < 2,2e-16
dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
[1] "Part worths (utilities) of levels (model parameters for whole sample):"
levnms utls
1 intercept 3,5534
2 low 0,2402
3 medium -0,1431
4 high -0,0971
5 black 0,6149
6 green 0,0349
7 red -0,6498
8 bags 0,1369
9 granulated -0,8898
10 leafy 0,7529
11 yes 0,4108
12 no -0,4108
[1] "Part worths (utilities) of all levels including intercept and reference levels a cross of respondents:"
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
[1] "Total utilities of profiles a cross of respondents:"
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[2,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[3,] 2,793 9,338 3,538 6,193 4,138 1,441 3,841 -0,414 -0,814 1,276
[4,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[5,] 4,500 1,800 6,600 8,100 6,000 9,800 6,400 10,500 6,900 5,500
[6,] 6,141 2,372 1,572 4,541 3,372 1,952 0,752 -0,217 1,583 -2,155
[7,] 2,928 1,048 -0,552 4,728 8,848 -0,366 3,634 0,755 1,155 -0,603
[8,] 5,383 1,945 1,545 2,583 3,545 7,903 4,503 9,266 6,266 7,190
[9,] 4,669 2,821 4,621 8,269 1,621 5,986 4,386 0,138 5,138 -1,759
[10,] 5,890 6,807 4,007 10,290 10,007 2,462 3,262 1,579 1,579 1,414
[11,] 4,890 6,207 4,407 10,290 9,207 3,262 3,262 2,379 2,179 2,414
[12,] 6,224 7,117 3,717 10,424 9,517 3,255 3,455 1,948 1,748 1,534
[13,] 0,403 0,331 -0,669 3,403 1,531 2,579 -0,421 2,107 0,307 1,362
[14,] 5,338 0,841 -0,159 4,338 4,641 1,972 -0,028 0,876 2,676 0,483
[15,] 7,414 0,124 -0,076 4,014 -0,476 6,517 1,917 1,028 6,628 -0,552
[16,] 7,569 1,221 0,621 4,369 0,221 6,386 2,786 1,038 6,638 -0,259
[17,] 1,559 5,628 4,428 3,159 3,228 4,648 3,048 7,117 1,917 7,655
[18,] 5,262 2,559 0,759 1,662 1,759 1,428 2,028 -0,276 1,724 -1,483
[19,] 2,603 4,531 7,331 3,203 2,331 2,779 5,779 2,307 3,307 1,362
[20,] 6,703 1,731 -0,469 5,303 1,731 3,979 0,179 -0,593 3,607 -1,138
[21,] 5,503 7,331 1,731 2,303 3,131 0,979 4,179 0,007 -0,593 -1,138
[22,] 7,710 9,393 2,993 6,910 6,993 2,938 4,538 1,421 1,421 1,586
[23,] 0,259 0,228 -0,372 1,059 -0,172 0,848 -0,352 0,017 0,217 0,155
[24,] 0,121 1,586 1,786 1,521 8,986 1,076 6,876 7,341 0,541 3,672
[25,] 1,159 8,628 5,628 3,159 -0,572 2,248 5,048 -0,083 -0,283 0,655
[26,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[27,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[28,] -0,017 8,145 5,145 1,983 -0,255 0,703 4,103 0,066 -2,334 0,190
[29,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[30,] 4,500 1,800 6,600 8,100 6,000 9,800 6,400 10,500 6,900 5,500
[31,] 6,141 2,372 1,572 4,541 3,372 1,952 0,752 -0,217 1,583 -2,155
[32,] 2,928 1,048 -0,552 4,728 8,848 -0,366 3,634 0,755 1,155 -0,603
[33,] 5,383 1,945 1,545 2,583 3,545 7,903 4,503 9,266 6,266 7,190
[34,] 4,669 2,821 4,621 8,269 1,621 5,986 4,386 0,138 5,138 -1,759
[35,] 5,707 7,062 3,662 10,907 9,662 2,559 2,559 1,114 1,114 1,224
[36,] 6,166 6,090 3,690 10,366 9,690 4,007 3,807 2,931 2,931 2,379
[37,] 5,997 7,069 4,469 10,797 9,669 3,021 3,221 1,693 1,893 1,638
[38,] 0,383 0,145 -0,255 3,583 1,145 3,303 -0,497 2,666 1,066 2,190
[39,] 5,338 0,841 -0,159 4,338 4,641 1,972 -0,028 0,876 2,676 0,483
[40,] 7,131 0,179 -0,421 2,931 -0,821 6,214 2,414 1,062 6,662 -0,241
[41,] 7,272 1,152 0,752 3,472 0,352 6,366 3,166 2,045 6,645 0,603
[42,] 1,559 5,628 4,428 3,159 3,228 4,648 3,048 7,117 1,917 7,655
[43,] 5,883 3,545 -1,455 3,883 0,145 4,703 1,703 0,166 2,766 -0,310
[44,] 2,603 4,531 7,331 3,203 2,331 2,779 5,779 2,307 3,307 1,362
[45,] 7,093 3,138 0,138 6,093 1,538 4,641 0,441 -0,314 3,086 -1,224
[46,] 7,097 7,669 3,469 6,697 7,069 1,621 2,821 0,793 0,393 0,138
[47,] 7,710 9,393 2,993 6,910 6,993 2,938 4,538 1,421 1,421 1,586
[48,] 4,900 2,800 0,200 8,700 -0,600 7,400 -1,200 1,100 2,300 -0,500
[49,] 5,779 2,814 6,214 7,579 6,614 2,324 -0,476 2,559 1,959 0,828
[50,] 2,390 2,807 2,407 4,590 2,807 2,062 0,462 1,279 0,679 0,914
[51,] 0,455 1,097 1,297 5,855 4,297 1,669 0,869 0,910 0,910 0,793
[52,] 6,172 1,552 1,352 4,772 4,152 4,166 1,366 2,745 4,545 2,103
[53,] 7,586 9,876 4,476 4,786 1,276 3,083 3,283 -0,828 0,972 -0,448
[54,] 5,507 2,462 2,062 4,707 2,262 4,759 1,759 2,514 3,714 1,224
[55,] 3,555 3,097 4,297 6,955 6,097 4,469 3,269 4,610 3,410 3,293
[56,] 0,752 4,966 2,566 5,952 1,766 3,690 2,290 1,303 1,503 2,931
[57,] 4,897 4,469 1,669 6,297 2,669 4,221 0,221 2,193 0,193 0,138
[58,] 6,700 6,200 8,000 6,300 0,800 6,200 7,200 -0,300 9,500 2,500
[59,] 6,003 4,931 4,731 4,603 6,731 1,779 3,379 2,907 1,907 1,362
[60,] 0,828 9,048 5,248 0,228 4,648 0,034 5,634 4,455 -1,145 5,897
[61,] 5,614 9,324 2,924 3,814 0,324 3,717 4,117 0,228 0,628 0,448
[62,] 3,479 5,814 4,814 3,479 0,414 2,324 2,124 0,259 0,859 0,328
[63,] 2,069 1,421 3,021 5,269 6,221 1,586 2,386 2,538 1,738 1,241
[64,] 4,452 6,566 5,166 3,652 6,166 1,490 4,090 3,403 1,403 3,431
[65,] 6,800 8,400 6,400 6,800 3,600 5,200 3,200 3,400 2,600 3,000
[66,] 1,455 2,097 2,297 5,855 4,297 2,669 1,869 1,910 1,910 1,793
[67,] 6,124 1,517 1,317 4,724 4,317 4,055 1,655 2,648 4,648 2,034
[68,] 8,252 9,366 4,966 5,452 1,966 3,490 3,290 -0,397 1,603 -0,569
[69,] 6,507 2,462 2,062 5,707 2,262 5,759 1,759 2,514 4,714 1,224
[70,] 3,555 3,097 4,297 6,955 6,097 4,469 3,269 4,610 3,410 3,293
[71,] 2,017 5,855 3,655 6,617 2,855 4,497 3,297 2,334 2,534 3,810
[72,] 4,338 0,641 1,041 6,138 0,841 4,172 -0,828 -0,324 3,476 -0,517
[73,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[74,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[75,] 2,793 9,338 3,538 6,193 4,138 1,441 3,841 -0,414 -0,814 1,276
[76,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[77,] 4,500 1,800 6,600 8,100 6,000 9,800 6,400 10,500 6,900 5,500
[78,] 6,141 2,372 1,572 4,541 3,372 1,952 0,752 -0,217 1,583 -2,155
[79,] 3,528 1,848 0,648 5,128 8,848 0,634 4,234 1,755 1,955 0,397
[80,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[81,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[82,] 1,059 8,428 5,828 2,859 0,828 1,648 4,848 1,017 -0,983 1,155
[83,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[84,] 5,707 7,062 3,662 10,907 9,662 2,559 2,559 1,114 1,114 1,224
[85,] 0,383 0,145 -0,255 3,583 1,145 3,303 -0,497 2,666 1,066 2,190
[86,] 5,338 0,841 -0,159 4,338 4,641 1,972 -0,028 0,876 2,676 0,483
[87,] 8,217 2,655 1,255 4,417 1,455 6,897 3,497 2,734 6,934 1,810
[88,] 7,272 1,152 0,752 3,472 0,352 6,366 3,166 2,045 6,645 0,603
[89,] 1,559 5,628 4,428 3,159 3,228 4,648 3,048 7,117 1,917 7,655
[90,] 5,941 4,372 -0,228 3,741 0,172 5,152 2,552 0,983 3,383 0,845
[91,] 2,855 6,697 5,297 4,055 4,097 5,669 3,669 8,110 2,910 8,793
[92,] 6,128 3,648 3,648 5,128 2,448 2,834 1,234 0,155 1,955 -1,603
[93,] 2,603 4,531 7,331 3,203 2,331 2,779 5,779 2,307 3,307 1,362
[94,] 6,752 3,766 2,566 6,352 0,566 5,090 0,890 -0,497 4,503 -0,069
[95,] 5,503 7,331 1,731 2,303 3,131 0,979 4,179 0,007 -0,593 -1,138
[96,] 6,286 8,276 2,676 7,086 6,676 2,683 3,483 1,272 1,272 2,052
[97,] 6,155 2,297 0,497 8,555 -0,503 7,669 -0,331 0,210 5,210 0,293
[98,] 5,090 2,807 1,807 3,090 3,207 8,262 4,462 9,379 5,779 7,414
[99,] 4,976 3,883 4,483 8,176 1,483 6,145 4,945 0,052 5,052 -1,534
[100,] 6,552 7,366 4,566 10,952 9,566 3,290 3,290 1,503 2,503 1,931
[,11] [,12] [,13]
[1,] 1,631 1,807 5,607
[2,] 7,597 5,510 3,510
[3,] 8,386 7,241 7,041
[4,] 5,069 7,993 9,193
[5,] 5,700 10,000 7,200
[6,] 0,783 -0,848 0,152
[7,] 4,555 5,434 8,434
[8,] 3,866 1,703 1,303
[9,] 6,938 7,986 7,186
[10,] 8,779 7,662 8,262
[11,] 9,379 8,662 8,462
[12,] 9,348 7,655 8,055
[13,] 4,307 2,579 1,179
[14,] 2,676 -1,028 0,372
[15,] 3,428 -1,483 -0,483
[16,] 4,038 -0,414 0,786
[17,] 4,717 4,648 2,248
[18,] -0,076 -1,572 0,228
[19,] 1,107 6,379 5,979
[20,] 4,407 -1,221 -0,221
[21,] 1,807 0,979 2,779
[22,] 7,021 3,738 5,338
[23,] 1,617 0,448 0,048
[24,] 1,741 8,276 9,476
[25,] 4,717 7,048 5,648
[26,] 1,631 1,807 5,607
[27,] 7,597 5,510 3,510
[28,] 2,666 6,103 4,503
[29,] 5,069 7,993 9,193
[30,] 5,700 10,000 7,200
[31,] 0,783 -0,848 0,152
[32,] 4,555 5,434 8,434
[33,] 3,866 1,703 1,303
[34,] 6,938 7,986 7,186
[35,] 9,714 7,759 7,959
[36,] 9,531 8,007 8,407
[37,] 9,293 8,021 8,221
[38,] 4,666 2,703 0,903
[39,] 2,676 -1,028 0,372
[40,] 3,062 -1,786 -0,386
[41,] 3,245 -0,634 0,566
[42,] 4,717 4,648 2,248
[43,] 5,766 -0,297 0,503
[44,] 1,107 6,379 5,979
[45,] 5,086 -0,559 -0,159
[46,] 4,193 2,421 3,621
[47,] 7,021 3,738 5,338
[48,] 8,700 2,600 -0,400
[49,] 0,359 1,324 0,124
[50,] 3,279 2,662 1,662
[51,] 6,110 6,269 5,469
[52,] 3,345 -0,034 0,766
[53,] 3,572 0,483 0,883
[54,] 3,314 0,959 0,759
[55,] 5,610 6,669 5,669
[56,] 9,103 7,490 5,690
[57,] 4,393 1,621 0,021
[58,] 7,300 6,800 7,800
[59,] 0,707 1,979 2,979
[60,] 2,055 5,034 5,034
[61,] 5,228 2,317 2,317
[62,] 1,859 2,124 1,124
[63,] 3,338 5,586 5,586
[64,] 2,003 3,290 3,890
[65,] 4,600 3,200 1,800
[66,] 6,110 6,269 5,469
[67,] 3,448 0,255 1,255
[68,] 3,203 0,490 0,890
[69,] 4,314 0,959 0,759
[70,] 5,610 6,669 5,669
[71,] 9,334 7,897 6,297
[72,] 4,876 0,972 0,172
[73,] 1,631 1,807 5,607
[74,] 7,597 5,510 3,510
[75,] 8,386 7,241 7,041
[76,] 5,069 7,993 9,193
[77,] 5,700 10,000 7,200
[78,] 0,783 -0,848 0,152
[79,] 4,755 5,834 8,434
[80,] 1,631 1,807 5,607
[81,] 7,597 5,510 3,510
[82,] 3,417 6,648 5,248
[83,] 5,069 7,993 9,193
[84,] 9,714 7,759 7,959
[85,] 4,666 2,703 0,903
[86,] 2,676 -1,028 0,372
[87,] 4,534 -0,303 0,897
[88,] 3,245 -0,634 0,566
[89,] 4,717 4,648 2,248
[90,] 5,783 0,352 0,952
[91,] 5,510 4,869 2,469
[92,] 0,955 0,234 0,234
[93,] 1,107 6,379 5,979
[94,] 5,303 0,490 0,290
[95,] 1,807 0,979 2,779
[96,] 7,672 4,283 5,283
[97,] 9,410 2,069 0,469
[98,] 4,779 2,462 1,462
[99,] 7,652 8,145 7,545
[100,] 9,703 7,690 8,090
[1] "Average importance of factors (attributes):"
[1] 24,76 32,22 27,15 15,88
[1] Sum of average importance: 100,01
Call:
lm(formula = frml)
Residuals:
Min 1Q Median 3Q Max
-11,3305 -3,5546 0,4799 3,4799 9,8190
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8,68487 0,12648 68,667 < 2e-16 ***
factor(x$kind)1 -1,08908 0,19815 -5,496 4,62e-08 ***
factor(x$kind)2 -0,73276 0,19815 -3,698 0,000226 ***
factor(x$kind)3 -0,92241 0,19815 -4,655 3,55e-06 ***
factor(x$price)1 -0,57088 0,15254 -3,743 0,000190 ***
factor(x$price)2 0,11877 0,17887 0,664 0,506777
factor(x$packing)1 -0,02874 0,11440 -0,251 0,801714
factor(x$weight)1 -0,16858 0,15254 -1,105 0,269272
factor(x$weight)2 0,17337 0,17887 0,969 0,332575
factor(x$calorie)1 -0,64655 0,11440 -5,652 1,93e-08 ***
---
Signif. codes: 0 '***' 0,001 '**' 0,01 '*' 0,05 '.' 0,1 ' ' 1
Residual standard error: 4,268 on 1382 degrees of freedom
Multiple R-squared: 0,1488, Adjusted R-squared: 0,1433
F-statistic: 26,85 on 9 and 1382 DF, p-value: < 2,2e-16
dev.new(): using pdf(file="Rplots4.pdf")
dev.new(): using pdf(file="Rplots5.pdf")
dev.new(): using pdf(file="Rplots6.pdf")
dev.new(): using pdf(file="Rplots7.pdf")
dev.new(): using pdf(file="Rplots8.pdf")
[1] "Part worths (utilities) of levels (model parameters for whole sample):"
levnms utls
1 intercept 8,6849
2 milk -1,0891
3 walnut -0,7328
4 delicaties -0,9224
5 dark 2,7443
6 low -0,5709
7 average 0,1188
8 high 0,4521
9 paperback -0,0287
10 hardback 0,0287
11 light -0,1686
12 middle 0,1734
13 heavy -0,0048
14 little -0,6466
15 much 0,6466
[1] "Part worths (utilities) of all levels including intercept and reference levels a cross of respondents:"
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
[7,] 8,667 -4,50 0,00 -1,25 5,75 0,667 0,667 -1,333 0,125
[8,] 8,042 1,75 4,50 -5,25 -1,00 1,500 -2,375 0,875 -0,625
[9,] 8,375 1,00 -3,25 -1,00 3,25 -0,167 -1,292 1,458 -1,375
[10,] 7,458 0,25 -2,75 -2,00 4,50 2,333 -1,417 -0,917 -0,750
[11,] 9,000 -0,75 1,00 -6,00 5,75 -1,167 1,208 -0,042 0,125
[12,] 8,583 2,00 -2,50 6,00 -5,50 0,000 -0,250 0,250 0,250
[13,] 9,000 -5,00 2,00 -3,00 6,00 -1,667 1,083 0,583 0,500
[14,] 8,500 1,00 -6,00 6,00 -1,00 0,000 -0,250 0,250 0,500
[15,] 8,458 -0,75 -1,75 3,50 -1,00 -0,167 2,708 -2,542 0,750
[16,] 8,708 2,00 -2,00 -6,00 6,00 -0,833 -0,458 1,292 0,125
[17,] 8,250 -2,00 2,00 6,00 -6,00 0,833 -0,792 -0,042 -0,250
[18,] 8,667 2,25 -2,00 -6,00 5,75 -0,667 0,833 -0,167 -0,375
[19,] 8,875 -3,25 2,50 1,75 -1,00 0,833 -0,042 -0,792 -0,875
[20,] 9,583 -2,75 -2,00 3,00 1,75 -1,167 0,458 0,708 0,125
[21,] 9,292 -2,75 2,00 -1,50 2,25 -2,833 -0,708 3,542 -1,250
[22,] 7,833 -0,25 -3,50 -2,25 6,00 2,167 0,042 -2,208 0,750
[23,] 8,542 2,00 -2,00 -6,00 6,00 -1,000 0,000 1,000 0,125
[24,] 8,917 -1,50 -1,25 -3,25 6,00 -0,833 1,292 -0,458 -0,125
[25,] 8,708 -6,00 2,00 -2,00 6,00 -0,667 0,083 0,583 0,125
[26,] 8,333 5,50 -1,25 -1,25 -3,00 2,000 -0,750 -1,250 1,625
[27,] 8,667 -1,75 1,25 -5,50 6,00 -0,667 0,583 0,083 0,875
[28,] 8,583 -6,00 0,75 6,00 -0,75 -0,167 -0,542 0,708 0,500
[29,] 8,667 -6,00 -2,00 2,00 6,00 -0,667 0,333 0,333 0,000
[30,] 8,750 2,00 -2,00 -6,00 6,00 -0,333 -0,083 0,417 0,000
[31,] 8,333 3,00 4,25 -1,25 -6,00 0,000 1,250 -1,250 0,125
[32,] 7,708 -4,25 1,50 2,00 0,75 0,833 -1,542 0,708 -0,250
[33,] 9,292 -1,00 -1,50 2,00 0,50 -1,833 -0,208 2,042 -1,375
[34,] 8,667 -4,50 2,00 -3,50 6,00 -0,500 -0,125 0,625 1,000
[35,] 8,792 -0,25 -6,00 5,25 1,00 -0,500 1,625 -1,125 0,125
[36,] 8,208 5,75 1,00 -6,00 -0,75 0,000 -1,250 1,250 0,750
[37,] 8,875 -0,75 1,50 -6,00 5,25 -1,333 2,167 -0,833 0,250
[38,] 8,583 -1,00 -4,75 1,75 4,00 -1,167 -0,292 1,458 -0,875
[39,] 9,042 4,25 3,50 -1,75 -6,00 -1,667 -0,167 1,833 -0,125
[40,] 8,875 -6,00 -2,00 2,00 6,00 -1,167 -0,042 1,208 -0,125
[41,] 8,792 2,00 -6,00 -2,00 6,00 -1,167 -0,042 1,208 0,125
[42,] 8,625 -1,25 0,00 -0,75 2,00 0,500 -1,875 1,375 0,375
[43,] 8,375 6,00 -2,00 -6,00 2,00 -0,167 -0,042 0,208 -0,125
[44,] 8,375 -2,75 -1,75 -1,50 6,00 0,000 -2,250 2,250 -2,250
[45,] 8,792 -4,25 -2,50 0,75 6,00 0,000 1,500 -1,500 0,375
[46,] 8,792 -4,25 -2,50 0,75 6,00 0,000 1,500 -1,500 0,375
[47,] 8,833 -6,00 2,00 -2,00 6,00 -1,333 0,167 1,167 0,250
[48,] 8,583 -4,25 -3,00 1,25 6,00 0,667 -1,333 0,667 -0,500
[49,] 8,750 -0,75 0,00 -5,25 6,00 0,500 -0,875 0,375 0,000
[50,] 8,458 2,00 -6,00 -2,00 6,00 0,167 -0,458 0,292 -0,125
[51,] 8,792 -2,50 -4,00 0,50 6,00 -0,333 -1,833 2,167 -0,625
[52,] 8,833 -2,00 -6,00 6,00 2,00 -0,500 0,625 -0,125 0,250
[53,] 9,167 -0,50 -0,25 -0,25 1,00 -2,667 0,333 2,333 0,125
[54,] 8,667 2,00 6,00 -2,00 -6,00 -0,667 0,333 0,333 0,000
[55,] 9,000 -0,50 0,25 1,25 -1,00 -1,667 2,583 -0,917 1,625
[56,] 9,083 -2,25 -4,50 1,25 5,50 -1,667 1,083 0,583 -0,500
[57,] 8,958 -2,50 2,50 2,00 -2,00 -2,667 -1,917 4,583 -1,625
[58,] 8,875 -1,50 -2,50 -2,00 6,00 0,667 -1,833 1,167 -0,375
[59,] 9,542 0,75 -0,25 -1,25 0,75 -3,167 0,958 2,208 1,375
[60,] 8,667 -6,00 -2,00 2,00 6,00 -0,667 0,333 0,333 0,000
[61,] 8,333 -6,00 2,00 -2,00 6,00 0,500 -0,375 -0,125 0,500
[62,] 9,333 -3,75 -3,00 1,00 5,75 -1,833 1,542 0,292 0,875
[63,] 8,708 -6,00 2,00 -2,00 6,00 -1,167 -0,042 1,208 0,125
[64,] 8,792 2,25 -2,00 -6,00 5,75 -0,667 -0,167 0,833 0,250
[65,] 8,667 -2,00 -6,00 2,00 6,00 -0,667 0,333 0,333 0,000
[66,] 9,792 2,25 -2,25 -0,75 0,75 -5,333 0,667 4,667 -0,125
[67,] 8,708 -6,00 -1,50 3,00 4,50 -1,667 0,333 1,333 -0,375
[68,] 8,500 -2,00 4,75 -4,25 1,50 -0,667 -0,917 1,583 0,125
[69,] 8,667 -6,00 3,00 5,00 -2,00 -1,000 0,000 1,000 0,250
[70,] 8,667 2,00 -2,00 -6,00 6,00 -0,667 0,333 0,333 0,000
[71,] 8,458 -5,75 0,25 0,00 5,50 0,833 -0,042 -0,792 -1,000
[72,] 8,833 1,25 -2,75 -4,50 6,00 -1,167 1,458 -0,292 -0,375
[73,] 8,542 -6,00 2,00 -2,00 6,00 -0,333 -0,333 0,667 0,125
[74,] 8,458 2,25 0,75 -5,25 2,25 1,667 0,917 -2,583 -1,125
[75,] 8,458 2,25 0,75 -5,25 2,25 1,667 0,917 -2,583 -1,125
[76,] 8,583 -1,00 1,00 -3,00 3,00 -0,167 0,208 -0,042 0,000
[77,] 9,083 -3,75 0,25 -2,50 6,00 -1,000 0,000 1,000 0,625
[78,] 8,167 -3,00 -1,75 -1,25 6,00 0,000 1,000 -1,000 -0,375
[79,] 8,583 -0,50 -3,00 -2,50 6,00 0,167 1,542 -1,708 -0,250
[80,] 8,250 1,75 3,00 -5,00 0,25 -0,500 2,625 -2,125 0,125
[81,] 10,000 0,00 0,00 0,00 0,00 -5,333 0,667 4,667 0,500
[82,] 9,167 -0,50 -0,25 -0,25 1,00 -2,667 0,333 2,333 0,375
[83,] 8,667 2,00 6,00 -2,00 -6,00 -1,167 -0,042 1,208 0,000
[84,] 8,167 6,00 -6,00 -2,00 2,00 0,333 0,083 -0,417 -0,250
[85,] 8,667 -1,75 -1,50 0,50 2,75 -1,167 -0,292 1,458 -0,375
[86,] 8,667 2,00 -6,00 -2,00 6,00 -0,667 0,333 0,333 0,000
[87,] 8,833 2,00 2,00 2,00 -6,00 -1,000 0,000 1,000 -0,250
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
[7,] -0,125 -1,333 0,667 0,667 -0,250 0,250
[8,] 0,625 0,333 0,333 -0,667 -0,375 0,375
[9,] 1,375 0,667 -0,083 -0,583 0,125 -0,125
[10,] 0,750 1,833 1,458 -3,292 0,375 -0,375
[11,] -0,125 -0,833 0,292 0,542 0,500 -0,500
[12,] -0,250 -0,333 0,167 0,167 -1,250 1,250
[13,] -0,500 -0,333 -0,333 0,667 0,500 -0,500
[14,] -0,500 0,000 -1,000 1,000 0,250 -0,250
[15,] -0,750 0,333 -2,667 2,333 0,875 -0,875
[16,] -0,125 0,000 0,500 -0,500 -0,125 0,125
[17,] 0,250 0,167 -0,458 0,292 -0,250 0,250
[18,] 0,375 0,000 -0,250 0,250 0,250 -0,250
[19,] 0,875 -2,333 0,417 1,917 -1,875 1,875
[20,] -0,125 -3,167 -2,042 5,208 0,500 -0,500
[21,] 1,250 -0,333 0,167 0,167 -2,125 2,125
[22,] -0,750 0,500 -0,625 0,125 0,250 -0,250
[23,] -0,125 0,833 -0,292 -0,542 0,125 -0,125
[24,] 0,125 -0,833 1,042 -0,208 -1,750 1,750
[25,] -0,125 -0,167 0,458 -0,292 -0,875 0,875
[26,] -1,625 -1,333 1,917 -0,583 -0,750 0,750
[27,] -0,875 0,000 -1,500 1,500 -0,250 0,250
[28,] -0,500 -0,167 -0,042 0,208 -1,500 1,500
[29,] 0,000 0,000 0,000 0,000 -1,000 1,000
[30,] 0,000 -0,667 0,333 0,333 -0,250 0,250
[31,] -0,125 0,667 -1,583 0,917 1,000 -1,000
[32,] 0,250 2,333 -1,417 -0,917 -0,375 0,375
[33,] 1,375 -1,333 1,917 -0,583 -2,125 2,125
[34,] -1,000 -0,167 -0,292 0,458 0,000 0,000
[35,] -0,125 -0,667 -0,667 1,333 0,875 -0,875
[36,] -0,750 1,167 -0,708 -0,458 -0,375 0,375
[37,] -0,250 -0,167 -0,042 0,208 -0,125 0,125
[38,] 0,875 0,833 0,708 -1,542 -1,500 1,500
[39,] 0,125 -0,500 -0,375 0,875 -0,125 0,125
[40,] 0,125 -0,333 0,417 -0,083 -0,375 0,375
[41,] -0,125 0,000 0,250 -0,250 0,125 -0,125
[42,] -0,375 -1,000 2,000 -1,000 -3,875 3,875
[43,] 0,125 0,667 -0,083 -0,583 0,875 -0,875
[44,] 2,250 0,500 -0,375 -0,125 -0,625 0,625
[45,] -0,375 -1,167 -0,042 1,208 0,125 -0,125
[46,] -0,375 -1,167 -0,042 1,208 0,125 -0,125
[47,] -0,250 0,000 0,000 0,000 0,000 0,000
[48,] 0,500 -1,000 2,000 -1,000 -0,250 0,250
[49,] 0,000 -1,500 0,625 0,875 -1,000 1,000
[50,] 0,125 0,000 0,250 -0,250 0,875 -0,875
[51,] 0,625 -0,833 2,042 -1,208 -1,375 1,375
[52,] -0,250 -0,833 0,292 0,542 0,000 0,000
[53,] -0,125 0,000 -0,250 0,250 -4,000 4,000
[54,] 0,000 0,000 0,000 0,000 -1,000 1,000
[55,] -1,625 -0,333 -1,333 1,667 0,000 0,000
[56,] 0,500 -0,667 -0,417 1,083 -2,000 2,000
[57,] 1,625 0,833 -1,292 0,458 -0,875 0,875
[58,] 0,375 -2,167 1,458 0,708 -1,375 1,375
[59,] -1,375 -1,000 2,500 -1,500 -2,125 2,125
[60,] 0,000 0,000 0,000 0,000 -1,000 1,000
[61,] -0,500 0,167 0,792 -0,958 0,250 -0,250
[62,] -0,875 -1,500 -0,625 2,125 0,250 -0,250
[63,] -0,125 0,333 0,083 -0,417 0,125 -0,125
[64,] -0,250 -0,500 0,625 -0,125 -0,875 0,875
[65,] 0,000 0,000 0,000 0,000 -1,000 1,000
[66,] 0,125 0,167 -0,208 0,042 0,125 -0,125
[67,] 0,375 0,833 0,708 -1,542 0,125 -0,125
[68,] -0,125 0,667 0,417 -1,083 -2,500 2,500
[69,] -0,250 0,333 1,083 -1,417 0,250 -0,250
[70,] 0,000 0,000 0,000 0,000 -1,000 1,000
[71,] 1,000 -0,667 1,083 -0,417 -0,875 0,875
[72,] 0,375 -0,167 0,958 -0,792 -0,750 0,750
[73,] -0,125 0,167 -0,458 0,292 0,375 -0,375
[74,] 1,125 -1,500 2,625 -1,125 -0,125 0,125
[75,] 1,125 -1,500 2,625 -1,125 -0,125 0,125
[76,] 0,000 -0,167 -0,042 0,208 -4,000 4,000
[77,] -0,625 -1,333 0,167 1,167 0,000 0,000
[78,] 0,375 1,333 -0,167 -1,167 -2,500 2,500
[79,] 0,250 -0,500 -0,125 0,625 -1,250 1,250
[80,] -0,125 1,500 -0,875 -0,625 -1,000 1,000
[81,] -0,500 -0,667 0,083 0,583 -0,500 0,500
[82,] -0,375 0,000 0,000 0,000 -4,000 4,000
[83,] 0,000 0,500 -0,375 -0,125 0,250 -0,250
[84,] 0,250 1,000 -0,750 -0,250 0,500 -0,500
[85,] 0,375 0,500 -0,125 -0,375 -4,000 4,000
[86,] 0,000 0,000 0,000 0,000 -1,000 1,000
[87,] 0,250 -0,333 0,417 -0,083 -2,500 2,500
[1] "Total utilities of profiles a cross of respondents:"
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 13,750 15,000 5,250 1,250 1,250 11,500 3,500 9,750 16,000 13,250
[2,] 11,000 11,250 5,500 10,500 9,750 4,000 16,000 8,000 4,000 9,750
[3,] 7,500 6,625 9,375 13,375 13,750 2,000 16,375 2,250 5,750 6,125
[4,] 5,625 6,250 10,500 13,750 15,375 11,625 7,000 4,625 8,125 7,000
[5,] 7,375 4,125 7,125 11,875 14,125 7,625 17,375 4,625 1,875 2,625
[6,] 12,750 14,500 7,625 9,625 10,000 6,625 5,750 6,500 13,125 14,625
[7,] 6,625 6,875 7,625 13,375 15,375 5,625 12,125 5,375 8,875 6,625
[8,] 3,000 1,750 14,625 9,125 5,250 12,625 8,000 5,750 4,625 3,625
[9,] 7,500 8,000 7,125 13,625 11,750 10,375 12,250 6,250 7,875 6,625
[10,] 5,625 6,250 10,000 17,250 13,125 11,875 11,750 2,625 4,875 9,250
[11,] 3,875 2,750 8,375 13,125 16,625 6,750 13,500 10,625 1,750 1,625
[12,] 14,000 15,000 4,250 1,250 1,500 11,750 4,500 9,500 15,750 13,250
[13,] 7,250 5,750 9,000 13,000 15,750 1,000 15,250 6,750 4,000 5,000
[14,] 14,500 13,500 2,250 7,250 6,000 7,750 8,000 11,000 14,750 15,250
[15,] 8,375 13,375 7,000 7,750 7,625 3,250 5,125 14,375 12,500 13,750
[16,] 4,500 2,250 5,625 13,625 14,500 10,375 16,250 9,750 1,375 1,875
[17,] 13,250 14,125 11,250 3,250 1,000 7,125 2,375 5,250 15,875 14,750
[18,] 2,125 3,625 6,625 14,375 15,625 10,125 13,625 11,875 2,375 1,875
[19,] 7,500 11,000 8,875 5,375 7,250 9,625 5,750 4,750 16,125 6,375
[20,] 11,875 9,250 3,625 7,375 10,125 3,000 8,500 13,125 16,000 8,875
[21,] 8,125 10,125 7,250 7,500 10,125 7,250 15,625 2,625 8,500 1,250
[22,] 3,750 5,125 6,500 16,000 12,750 8,125 12,625 8,750 6,875 9,250
[23,] 3,500 3,125 6,375 14,375 14,250 9,000 16,375 10,250 0,750 2,625
[24,] 4,375 8,000 4,375 11,625 15,625 9,500 15,250 6,625 6,500 2,125
[25,] 7,000 7,375 8,875 12,875 14,250 3,250 16,125 1,750 6,500 5,125
[26,] 8,625 4,125 5,375 3,625 4,125 16,875 5,125 13,375 7,625 8,625
[27,] 2,375 3,125 8,125 12,875 12,625 4,125 15,875 9,625 3,375 3,125
[28,] 14,250 14,875 7,000 5,500 5,250 3,375 10,375 1,250 15,625 13,250
[29,] 10,000 12,000 5,000 13,000 14,000 3,000 16,000 2,000 11,000 9,000
[30,] 3,250 2,250 5,500 13,500 14,750 11,000 14,750 10,750 3,000 1,500
[31,] 5,375 7,875 14,125 3,875 2,875 8,625 0,875 14,625 6,875 8,875
[32,] 8,375 11,125 12,250 11,500 5,375 3,500 11,625 0,375 10,250 12,250
[33,] 11,750 13,250 3,875 5,875 10,750 11,875 11,250 4,000 12,375 4,625
[34,] 6,500 3,875 9,000 13,000 13,250 2,375 16,125 5,500 4,125 5,500
[35,] 13,250 14,000 2,375 9,375 11,500 6,375 7,250 12,500 13,875 13,875
[36,] 3,125 1,750 9,250 7,500 4,375 12,875 11,000 12,625 1,375 3,750
[37,] 2,125 4,750 8,500 12,250 15,875 6,625 13,500 10,625 1,625 1,500
[38,] 10,125 13,250 2,875 11,625 12,375 9,500 15,500 3,375 10,000 7,625
[39,] 8,500 6,875 10,375 0,875 2,500 11,500 4,375 13,750 6,750 4,875
[40,] 12,000 11,000 5,125 13,125 15,000 2,625 16,000 2,250 10,125 8,875
[41,] 8,500 6,500 1,625 13,625 15,000 9,625 16,000 10,750 5,125 5,875
[42,] 7,750 8,500 3,875 5,875 6,500 13,375 15,250 1,000 10,875 3,875
[43,] 3,250 2,250 7,875 11,875 11,250 13,375 10,250 14,500 0,875 3,625
[44,] 5,875 8,000 8,750 16,500 13,375 8,125 15,500 0,375 9,625 4,500
[45,] 8,500 9,375 4,875 13,375 16,000 4,000 12,375 7,750 10,250 8,875
[46,] 8,500 9,375 4,875 13,375 16,000 4,000 12,375 7,750 10,250 8,875
[47,] 8,250 6,750 9,250 13,250 14,750 1,250 16,250 3,250 5,250 5,750
[48,] 11,750 8,250 5,500 14,500 15,500 7,750 14,000 1,250 10,250 8,750
[49,] 3,500 2,125 6,750 12,750 13,500 10,125 14,625 7,000 5,875 1,500
[50,] 7,750 5,250 3,625 15,625 15,250 10,125 13,750 10,500 5,625 7,375
[51,] 11,500 8,625 2,875 12,875 14,250 10,000 16,875 1,250 9,750 6,125
[52,] 15,250 14,375 1,250 9,250 11,500 6,375 10,125 8,250 14,625 13,750
[53,] 7,125 13,125 2,125 3,375 6,125 9,625 16,625 5,375 10,375 2,375
[54,] 6,000 8,000 13,000 1,000 2,000 11,000 4,000 10,000 7,000 5,000
[55,] 9,625 10,875 5,625 4,375 7,625 3,875 8,375 14,375 8,625 9,875
[56,] 8,000 13,250 0,750 10,750 13,750 7,250 16,000 6,500 12,250 5,500
[57,] 11,750 12,375 10,375 5,875 4,500 5,000 11,625 2,500 11,250 6,625
[58,] 7,750 4,625 3,875 12,375 13,500 11,250 14,875 4,500 10,000 3,625
[59,] 12,250 9,000 1,625 2,625 10,250 10,375 15,000 9,000 4,375 3,375
[60,] 10,000 12,000 5,000 13,000 14,000 3,000 16,000 2,000 11,000 9,000
[61,] 7,750 5,375 10,750 14,750 14,500 2,875 14,625 1,750 5,125 7,750
[62,] 11,125 9,250 2,375 11,125 15,375 2,000 14,500 10,375 9,500 8,125
[63,] 8,250 6,750 9,875 13,875 14,750 1,375 16,250 2,500 4,875 6,125
[64,] 3,625 2,750 4,500 12,250 13,875 11,625 16,000 10,125 2,625 1,000
[65,] 10,000 12,000 1,000 13,000 14,000 7,000 16,000 6,000 11,000 9,000
[66,] 13,500 9,875 2,625 5,625 11,250 6,500 15,125 12,750 3,750 3,875
[67,] 13,500 13,125 6,875 12,875 14,750 2,000 14,875 1,250 8,750 10,625
[68,] 3,875 6,375 10,625 7,375 6,875 8,625 14,875 2,125 4,875 1,875
[69,] 16,250 13,500 11,000 6,000 7,750 2,250 8,000 1,750 10,750 13,500
[70,] 2,000 4,000 5,000 13,000 14,000 11,000 16,000 10,000 3,000 1,000
[71,] 6,875 9,625 9,000 14,250 15,125 6,500 12,375 0,375 10,750 6,750
[72,] 3,875 6,750 4,375 13,125 16,875 11,000 14,750 9,625 3,500 1,875
[73,] 7,250 5,875 10,625 14,625 14,000 1,250 15,125 3,000 6,000 6,875
[74,] 2,000 3,875 10,375 11,875 15,250 16,250 5,625 9,250 5,000 2,125
[75,] 2,000 3,875 10,375 11,875 15,250 16,250 5,625 9,250 5,000 2,125
[76,] 1,500 9,625 5,250 7,250 7,750 11,375 15,375 4,000 9,625 1,250
[77,] 8,375 4,625 6,375 12,125 14,625 3,875 15,375 7,125 6,125 4,875
[78,] 2,875 12,125 5,625 13,375 12,875 7,875 16,625 2,125 8,625 5,375
[79,] 2,750 8,625 4,250 13,250 15,000 9,625 13,375 8,750 8,375 4,250
[80,] -0,625 8,250 11,125 8,375 9,125 9,500 9,000 11,125 3,000 3,375
[81,] 14,750 10,000 3,000 3,000 9,750 4,750 15,000 11,250 5,250 4,000
[82,] 7,625 12,875 1,875 3,125 6,125 9,625 16,875 5,375 9,875 2,625
[83,] 7,750 6,875 14,250 2,250 2,500 8,875 4,125 10,750 5,125 6,250
[84,] 5,250 7,000 4,250 12,250 10,250 13,500 10,000 14,250 6,000 7,750
[85,] 6,125 13,750 2,875 7,125 7,375 10,000 17,000 1,875 12,000 4,125
[86,] 6,000 8,000 1,000 13,000 14,000 11,000 16,000 10,000 7,000 5,000
[87,] 9,500 13,250 7,250 -0,750 1,000 13,000 5,750 8,000 12,500 6,750
[,11] [,12] [,13] [,14] [,15] [,16]
[1,] 11,500 7,000 6,250 9,250 4,000 7,500
[2,] 12,750 9,000 6,250 9,250 6,750 2,250
[3,] 3,625 11,375 10,500 2,125 14,500 10,750
[4,] 3,000 6,750 5,375 6,750 11,875 12,375
[5,] 9,375 10,125 8,875 5,375 12,625 10,875
[6,] 4,750 6,000 4,750 7,125 6,625 5,625
[7,] 1,625 8,375 7,625 3,375 16,125 10,375
[8,] 12,000 10,250 13,000 10,625 7,625 14,125
[9,] 12,750 3,000 7,500 8,625 9,375 3,375
[10,] 9,000 4,000 1,625 11,500 9,875 7,375
[11,] 6,750 10,000 10,875 6,875 13,750 8,750
[12,] 11,500 7,000 5,000 9,250 4,750 7,750
[13,] 3,250 11,750 12,250 3,000 14,000 9,000
[14,] 9,000 2,500 3,500 10,250 8,750 1,750
[15,] 3,875 9,625 6,625 9,500 9,500 3,750
[16,] 12,000 6,500 7,250 9,875 13,625 6,625
[17,] 6,875 9,625 10,500 6,750 3,375 10,625
[18,] 10,875 6,875 7,375 10,125 13,375 5,125
[19,] 5,250 10,000 11,500 1,375 11,625 13,625
[20,] 3,750 4,500 13,875 3,125 15,000 4,000
[21,] 13,125 11,125 14,125 0,000 9,750 9,500
[22,] 4,875 5,375 1,750 11,250 16,625 6,375
[23,] 12,125 7,375 7,000 10,625 13,000 5,250
[24,] 8,000 9,750 5,375 3,875 15,500 9,500
[25,] 3,875 11,625 10,000 1,125 14,750 11,500
[26,] 10,375 7,375 2,875 15,375 9,125 13,375
[27,] 6,375 11,625 10,375 6,875 16,625 8,875
[28,] 4,125 10,625 8,250 1,250 9,875 11,125
[29,] 4,000 8,000 6,000 1,000 15,000 7,000
[30,] 10,750 6,250 7,250 9,500 15,000 7,000
[31,] 9,625 13,625 13,125 13,125 2,375 10,125
[32,] 7,125 10,125 8,875 6,000 8,500 8,750
[33,] 12,500 7,000 8,500 1,625 8,125 8,625
[34,] 3,625 11,375 10,750 4,500 15,625 10,875
[35,] 5,750 3,000 3,750 8,375 9,875 0,875
[36,] 16,000 10,250 8,875 15,500 8,125 9,625
[37,] 7,000 12,750 9,375 6,750 13,375 9,375
[38,] 12,250 5,000 3,125 4,875 10,500 4,000
[39,] 14,875 11,875 15,250 10,875 2,250 10,500
[40,] 4,250 6,750 7,750 0,875 13,875 6,375
[41,] 11,750 2,750 3,750 9,875 13,375 1,875
[42,] 11,250 10,000 4,750 3,375 14,375 15,375
[43,] 14,500 6,000 7,000 15,625 8,625 5,125
[44,] 11,250 3,250 10,375 3,250 12,625 4,625
[45,] 1,375 6,875 5,750 3,875 16,250 6,500
[46,] 1,375 6,875 5,750 3,875 16,250 6,500
[47,] 3,750 11,250 11,750 1,750 13,750 9,750
[48,] 4,750 3,000 5,500 3,250 14,000 8,000
[49,] 7,875 7,375 9,000 6,000 17,125 10,875
[50,] 10,000 1,000 3,500 11,375 13,375 1,875
[51,] 9,625 2,875 5,000 3,125 14,000 7,250
[52,] 5,625 2,875 3,000 5,750 11,125 2,875
[53,] 14,875 13,375 7,375 2,125 11,875 10,125
[54,] 12,000 16,000 14,000 9,000 3,000 15,000
[55,] 5,625 13,125 8,375 8,125 9,625 7,875
[56,] 9,250 6,500 4,750 2,000 15,500 4,000
[57,] 14,375 9,625 17,250 2,125 4,000 6,750
[58,] 8,125 3,375 7,250 4,125 17,250 9,500
[59,] 12,250 12,750 6,500 5,375 9,125 12,125
[60,] 4,000 8,000 6,000 1,000 15,000 7,000
[61,] 1,625 10,375 9,000 3,750 14,125 11,875
[62,] 3,250 7,000 8,125 3,375 16,000 4,500
[63,] 4,000 11,000 11,500 2,125 13,125 9,625
[64,] 12,000 7,250 6,375 9,250 14,875 7,875
[65,] 8,000 4,000 2,000 5,000 15,000 3,000
[66,] 16,875 8,125 12,500 6,875 5,000 1,750
[67,] 5,125 7,875 7,500 1,625 9,500 5,750
[68,] 11,125 15,625 11,125 4,125 10,875 15,625
[69,] 3,500 12,000 11,250 2,500 4,250 11,750
[70,] 12,000 8,000 6,000 9,000 15,000 7,000
[71,] 3,125 7,875 7,625 1,000 14,250 10,500
[72,] 10,750 7,750 4,625 7,625 13,250 6,250
[73,] 2,875 10,125 11,750 2,875 14,250 9,500
[74,] 7,875 7,625 6,500 9,625 10,250 12,500
[75,] 7,875 7,625 6,500 9,625 10,250 12,500
[76,] 11,375 13,625 5,750 3,250 15,625 13,375
[77,] 4,375 8,625 10,875 3,625 15,875 9,125
[78,] 8,375 10,875 2,125 3,625 15,125 8,375
[79,] 7,375 7,625 3,500 6,250 16,375 6,625
[80,] 10,250 16,500 7,375 10,125 8,500 11,000
[81,] 14,000 11,000 14,250 4,000 6,250 5,750
[82,] 14,625 13,625 6,875 2,375 11,875 10,625
[83,] 12,125 14,875 16,000 10,250 1,125 12,875
[84,] 14,500 2,500 2,250 15,750 9,500 1,000
[85,] 13,250 11,000 4,625 1,875 13,500 9,500
[86,] 12,000 4,000 2,000 9,000 15,000 3,000
[87,] 14,250 12,750 9,500 6,750 4,000 12,500
[1] "Average importance of factors (attributes):"
[1] 56,79 16,42 5,43 10,61 10,75
[1] Sum of average importance: 100
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/ShowAllUtilities.R
Description
Function ShowAllUtilities is a combination of following conjoint pakage's functions: caPartUtilities, caTotalUtilities, caUtilities and caImportance. Function ShowAllUtilities returns: matrix of partial utilities (basic matrix of utilities with the intercept), matrix of total utilities for n profiles and all respondents, vector of utilities for attribute's levels and vector of percentage attributes' importance, with sum of importance. The sum of importance should be 100%.
Usage
1 | ShowAllUtilities(y, x, z)
|
Arguments
y |
matrix of preferences |
x |
matrix of profiles |
z |
matrix of levles 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. (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.
Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, 103-123.
SPSS 6.1 Categories (1994), SPSS Inc., Chicago.
See Also
caImportance, caPartUtilities, caTotalUtilities and caUtilities
Examples
1 2 3 4 5 6 7 8 9 |
Example output
Call:
lm(formula = frml)
Residuals:
Min 1Q Median 3Q Max
-5,1888 -2,3761 -0,7512 2,2128 7,5134
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3,55336 0,09068 39,184 < 2e-16 ***
factor(x$price)1 0,24023 0,13245 1,814 0,070 .
factor(x$price)2 -0,14311 0,11485 -1,246 0,213
factor(x$variety)1 0,61489 0,11485 5,354 1,02e-07 ***
factor(x$variety)2 0,03489 0,11485 0,304 0,761
factor(x$kind)1 0,13689 0,11485 1,192 0,234
factor(x$kind)2 -0,88977 0,13245 -6,718 2,76e-11 ***
factor(x$aroma)1 0,41078 0,08492 4,837 1,48e-06 ***
---
Signif. codes: 0 '***' 0,001 '**' 0,01 '*' 0,05 '.' 0,1 ' ' 1
Residual standard error: 2,967 on 1292 degrees of freedom
Multiple R-squared: 0,09003, Adjusted R-squared: 0,0851
F-statistic: 18,26 on 7 and 1292 DF, p-value: < 2,2e-16
dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
[1] "Part worths (utilities) of levels (model parameters for whole sample):"
levnms utls
1 intercept 3,5534
2 low 0,2402
3 medium -0,1431
4 high -0,0971
5 black 0,6149
6 green 0,0349
7 red -0,6498
8 bags 0,1369
9 granulated -0,8898
10 leafy 0,7529
11 yes 0,4108
12 no -0,4108
[1] "Part worths (utilities) of all levels including intercept and reference levels a cross of respondents:"
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
[1] "Total utilities of profiles a cross of respondents:"
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[2,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[3,] 2,793 9,338 3,538 6,193 4,138 1,441 3,841 -0,414 -0,814 1,276
[4,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[5,] 4,500 1,800 6,600 8,100 6,000 9,800 6,400 10,500 6,900 5,500
[6,] 6,141 2,372 1,572 4,541 3,372 1,952 0,752 -0,217 1,583 -2,155
[7,] 2,928 1,048 -0,552 4,728 8,848 -0,366 3,634 0,755 1,155 -0,603
[8,] 5,383 1,945 1,545 2,583 3,545 7,903 4,503 9,266 6,266 7,190
[9,] 4,669 2,821 4,621 8,269 1,621 5,986 4,386 0,138 5,138 -1,759
[10,] 5,890 6,807 4,007 10,290 10,007 2,462 3,262 1,579 1,579 1,414
[11,] 4,890 6,207 4,407 10,290 9,207 3,262 3,262 2,379 2,179 2,414
[12,] 6,224 7,117 3,717 10,424 9,517 3,255 3,455 1,948 1,748 1,534
[13,] 0,403 0,331 -0,669 3,403 1,531 2,579 -0,421 2,107 0,307 1,362
[14,] 5,338 0,841 -0,159 4,338 4,641 1,972 -0,028 0,876 2,676 0,483
[15,] 7,414 0,124 -0,076 4,014 -0,476 6,517 1,917 1,028 6,628 -0,552
[16,] 7,569 1,221 0,621 4,369 0,221 6,386 2,786 1,038 6,638 -0,259
[17,] 1,559 5,628 4,428 3,159 3,228 4,648 3,048 7,117 1,917 7,655
[18,] 5,262 2,559 0,759 1,662 1,759 1,428 2,028 -0,276 1,724 -1,483
[19,] 2,603 4,531 7,331 3,203 2,331 2,779 5,779 2,307 3,307 1,362
[20,] 6,703 1,731 -0,469 5,303 1,731 3,979 0,179 -0,593 3,607 -1,138
[21,] 5,503 7,331 1,731 2,303 3,131 0,979 4,179 0,007 -0,593 -1,138
[22,] 7,710 9,393 2,993 6,910 6,993 2,938 4,538 1,421 1,421 1,586
[23,] 0,259 0,228 -0,372 1,059 -0,172 0,848 -0,352 0,017 0,217 0,155
[24,] 0,121 1,586 1,786 1,521 8,986 1,076 6,876 7,341 0,541 3,672
[25,] 1,159 8,628 5,628 3,159 -0,572 2,248 5,048 -0,083 -0,283 0,655
[26,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[27,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[28,] -0,017 8,145 5,145 1,983 -0,255 0,703 4,103 0,066 -2,334 0,190
[29,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[30,] 4,500 1,800 6,600 8,100 6,000 9,800 6,400 10,500 6,900 5,500
[31,] 6,141 2,372 1,572 4,541 3,372 1,952 0,752 -0,217 1,583 -2,155
[32,] 2,928 1,048 -0,552 4,728 8,848 -0,366 3,634 0,755 1,155 -0,603
[33,] 5,383 1,945 1,545 2,583 3,545 7,903 4,503 9,266 6,266 7,190
[34,] 4,669 2,821 4,621 8,269 1,621 5,986 4,386 0,138 5,138 -1,759
[35,] 5,707 7,062 3,662 10,907 9,662 2,559 2,559 1,114 1,114 1,224
[36,] 6,166 6,090 3,690 10,366 9,690 4,007 3,807 2,931 2,931 2,379
[37,] 5,997 7,069 4,469 10,797 9,669 3,021 3,221 1,693 1,893 1,638
[38,] 0,383 0,145 -0,255 3,583 1,145 3,303 -0,497 2,666 1,066 2,190
[39,] 5,338 0,841 -0,159 4,338 4,641 1,972 -0,028 0,876 2,676 0,483
[40,] 7,131 0,179 -0,421 2,931 -0,821 6,214 2,414 1,062 6,662 -0,241
[41,] 7,272 1,152 0,752 3,472 0,352 6,366 3,166 2,045 6,645 0,603
[42,] 1,559 5,628 4,428 3,159 3,228 4,648 3,048 7,117 1,917 7,655
[43,] 5,883 3,545 -1,455 3,883 0,145 4,703 1,703 0,166 2,766 -0,310
[44,] 2,603 4,531 7,331 3,203 2,331 2,779 5,779 2,307 3,307 1,362
[45,] 7,093 3,138 0,138 6,093 1,538 4,641 0,441 -0,314 3,086 -1,224
[46,] 7,097 7,669 3,469 6,697 7,069 1,621 2,821 0,793 0,393 0,138
[47,] 7,710 9,393 2,993 6,910 6,993 2,938 4,538 1,421 1,421 1,586
[48,] 4,900 2,800 0,200 8,700 -0,600 7,400 -1,200 1,100 2,300 -0,500
[49,] 5,779 2,814 6,214 7,579 6,614 2,324 -0,476 2,559 1,959 0,828
[50,] 2,390 2,807 2,407 4,590 2,807 2,062 0,462 1,279 0,679 0,914
[51,] 0,455 1,097 1,297 5,855 4,297 1,669 0,869 0,910 0,910 0,793
[52,] 6,172 1,552 1,352 4,772 4,152 4,166 1,366 2,745 4,545 2,103
[53,] 7,586 9,876 4,476 4,786 1,276 3,083 3,283 -0,828 0,972 -0,448
[54,] 5,507 2,462 2,062 4,707 2,262 4,759 1,759 2,514 3,714 1,224
[55,] 3,555 3,097 4,297 6,955 6,097 4,469 3,269 4,610 3,410 3,293
[56,] 0,752 4,966 2,566 5,952 1,766 3,690 2,290 1,303 1,503 2,931
[57,] 4,897 4,469 1,669 6,297 2,669 4,221 0,221 2,193 0,193 0,138
[58,] 6,700 6,200 8,000 6,300 0,800 6,200 7,200 -0,300 9,500 2,500
[59,] 6,003 4,931 4,731 4,603 6,731 1,779 3,379 2,907 1,907 1,362
[60,] 0,828 9,048 5,248 0,228 4,648 0,034 5,634 4,455 -1,145 5,897
[61,] 5,614 9,324 2,924 3,814 0,324 3,717 4,117 0,228 0,628 0,448
[62,] 3,479 5,814 4,814 3,479 0,414 2,324 2,124 0,259 0,859 0,328
[63,] 2,069 1,421 3,021 5,269 6,221 1,586 2,386 2,538 1,738 1,241
[64,] 4,452 6,566 5,166 3,652 6,166 1,490 4,090 3,403 1,403 3,431
[65,] 6,800 8,400 6,400 6,800 3,600 5,200 3,200 3,400 2,600 3,000
[66,] 1,455 2,097 2,297 5,855 4,297 2,669 1,869 1,910 1,910 1,793
[67,] 6,124 1,517 1,317 4,724 4,317 4,055 1,655 2,648 4,648 2,034
[68,] 8,252 9,366 4,966 5,452 1,966 3,490 3,290 -0,397 1,603 -0,569
[69,] 6,507 2,462 2,062 5,707 2,262 5,759 1,759 2,514 4,714 1,224
[70,] 3,555 3,097 4,297 6,955 6,097 4,469 3,269 4,610 3,410 3,293
[71,] 2,017 5,855 3,655 6,617 2,855 4,497 3,297 2,334 2,534 3,810
[72,] 4,338 0,641 1,041 6,138 0,841 4,172 -0,828 -0,324 3,476 -0,517
[73,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[74,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[75,] 2,793 9,338 3,538 6,193 4,138 1,441 3,841 -0,414 -0,814 1,276
[76,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[77,] 4,500 1,800 6,600 8,100 6,000 9,800 6,400 10,500 6,900 5,500
[78,] 6,141 2,372 1,572 4,541 3,372 1,952 0,752 -0,217 1,583 -2,155
[79,] 3,528 1,848 0,648 5,128 8,848 0,634 4,234 1,755 1,955 0,397
[80,] 6,866 2,490 0,690 3,266 8,690 1,807 5,407 3,431 3,431 0,879
[81,] 1,748 9,834 4,034 2,148 1,234 5,110 5,110 6,197 1,397 8,569
[82,] 1,059 8,428 5,828 2,859 0,828 1,648 4,848 1,017 -0,983 1,155
[83,] 5,834 5,310 7,110 6,434 7,310 4,393 7,393 4,069 6,269 3,621
[84,] 5,707 7,062 3,662 10,907 9,662 2,559 2,559 1,114 1,114 1,224
[85,] 0,383 0,145 -0,255 3,583 1,145 3,303 -0,497 2,666 1,066 2,190
[86,] 5,338 0,841 -0,159 4,338 4,641 1,972 -0,028 0,876 2,676 0,483
[87,] 8,217 2,655 1,255 4,417 1,455 6,897 3,497 2,734 6,934 1,810
[88,] 7,272 1,152 0,752 3,472 0,352 6,366 3,166 2,045 6,645 0,603
[89,] 1,559 5,628 4,428 3,159 3,228 4,648 3,048 7,117 1,917 7,655
[90,] 5,941 4,372 -0,228 3,741 0,172 5,152 2,552 0,983 3,383 0,845
[91,] 2,855 6,697 5,297 4,055 4,097 5,669 3,669 8,110 2,910 8,793
[92,] 6,128 3,648 3,648 5,128 2,448 2,834 1,234 0,155 1,955 -1,603
[93,] 2,603 4,531 7,331 3,203 2,331 2,779 5,779 2,307 3,307 1,362
[94,] 6,752 3,766 2,566 6,352 0,566 5,090 0,890 -0,497 4,503 -0,069
[95,] 5,503 7,331 1,731 2,303 3,131 0,979 4,179 0,007 -0,593 -1,138
[96,] 6,286 8,276 2,676 7,086 6,676 2,683 3,483 1,272 1,272 2,052
[97,] 6,155 2,297 0,497 8,555 -0,503 7,669 -0,331 0,210 5,210 0,293
[98,] 5,090 2,807 1,807 3,090 3,207 8,262 4,462 9,379 5,779 7,414
[99,] 4,976 3,883 4,483 8,176 1,483 6,145 4,945 0,052 5,052 -1,534
[100,] 6,552 7,366 4,566 10,952 9,566 3,290 3,290 1,503 2,503 1,931
[,11] [,12] [,13]
[1,] 1,631 1,807 5,607
[2,] 7,597 5,510 3,510
[3,] 8,386 7,241 7,041
[4,] 5,069 7,993 9,193
[5,] 5,700 10,000 7,200
[6,] 0,783 -0,848 0,152
[7,] 4,555 5,434 8,434
[8,] 3,866 1,703 1,303
[9,] 6,938 7,986 7,186
[10,] 8,779 7,662 8,262
[11,] 9,379 8,662 8,462
[12,] 9,348 7,655 8,055
[13,] 4,307 2,579 1,179
[14,] 2,676 -1,028 0,372
[15,] 3,428 -1,483 -0,483
[16,] 4,038 -0,414 0,786
[17,] 4,717 4,648 2,248
[18,] -0,076 -1,572 0,228
[19,] 1,107 6,379 5,979
[20,] 4,407 -1,221 -0,221
[21,] 1,807 0,979 2,779
[22,] 7,021 3,738 5,338
[23,] 1,617 0,448 0,048
[24,] 1,741 8,276 9,476
[25,] 4,717 7,048 5,648
[26,] 1,631 1,807 5,607
[27,] 7,597 5,510 3,510
[28,] 2,666 6,103 4,503
[29,] 5,069 7,993 9,193
[30,] 5,700 10,000 7,200
[31,] 0,783 -0,848 0,152
[32,] 4,555 5,434 8,434
[33,] 3,866 1,703 1,303
[34,] 6,938 7,986 7,186
[35,] 9,714 7,759 7,959
[36,] 9,531 8,007 8,407
[37,] 9,293 8,021 8,221
[38,] 4,666 2,703 0,903
[39,] 2,676 -1,028 0,372
[40,] 3,062 -1,786 -0,386
[41,] 3,245 -0,634 0,566
[42,] 4,717 4,648 2,248
[43,] 5,766 -0,297 0,503
[44,] 1,107 6,379 5,979
[45,] 5,086 -0,559 -0,159
[46,] 4,193 2,421 3,621
[47,] 7,021 3,738 5,338
[48,] 8,700 2,600 -0,400
[49,] 0,359 1,324 0,124
[50,] 3,279 2,662 1,662
[51,] 6,110 6,269 5,469
[52,] 3,345 -0,034 0,766
[53,] 3,572 0,483 0,883
[54,] 3,314 0,959 0,759
[55,] 5,610 6,669 5,669
[56,] 9,103 7,490 5,690
[57,] 4,393 1,621 0,021
[58,] 7,300 6,800 7,800
[59,] 0,707 1,979 2,979
[60,] 2,055 5,034 5,034
[61,] 5,228 2,317 2,317
[62,] 1,859 2,124 1,124
[63,] 3,338 5,586 5,586
[64,] 2,003 3,290 3,890
[65,] 4,600 3,200 1,800
[66,] 6,110 6,269 5,469
[67,] 3,448 0,255 1,255
[68,] 3,203 0,490 0,890
[69,] 4,314 0,959 0,759
[70,] 5,610 6,669 5,669
[71,] 9,334 7,897 6,297
[72,] 4,876 0,972 0,172
[73,] 1,631 1,807 5,607
[74,] 7,597 5,510 3,510
[75,] 8,386 7,241 7,041
[76,] 5,069 7,993 9,193
[77,] 5,700 10,000 7,200
[78,] 0,783 -0,848 0,152
[79,] 4,755 5,834 8,434
[80,] 1,631 1,807 5,607
[81,] 7,597 5,510 3,510
[82,] 3,417 6,648 5,248
[83,] 5,069 7,993 9,193
[84,] 9,714 7,759 7,959
[85,] 4,666 2,703 0,903
[86,] 2,676 -1,028 0,372
[87,] 4,534 -0,303 0,897
[88,] 3,245 -0,634 0,566
[89,] 4,717 4,648 2,248
[90,] 5,783 0,352 0,952
[91,] 5,510 4,869 2,469
[92,] 0,955 0,234 0,234
[93,] 1,107 6,379 5,979
[94,] 5,303 0,490 0,290
[95,] 1,807 0,979 2,779
[96,] 7,672 4,283 5,283
[97,] 9,410 2,069 0,469
[98,] 4,779 2,462 1,462
[99,] 7,652 8,145 7,545
[100,] 9,703 7,690 8,090
[1] "Average importance of factors (attributes):"
[1] 24,76 32,22 27,15 15,88
[1] Sum of average importance: 100,01
Call:
lm(formula = frml)
Residuals:
Min 1Q Median 3Q Max
-11,3305 -3,5546 0,4799 3,4799 9,8190
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8,68487 0,12648 68,667 < 2e-16 ***
factor(x$kind)1 -1,08908 0,19815 -5,496 4,62e-08 ***
factor(x$kind)2 -0,73276 0,19815 -3,698 0,000226 ***
factor(x$kind)3 -0,92241 0,19815 -4,655 3,55e-06 ***
factor(x$price)1 -0,57088 0,15254 -3,743 0,000190 ***
factor(x$price)2 0,11877 0,17887 0,664 0,506777
factor(x$packing)1 -0,02874 0,11440 -0,251 0,801714
factor(x$weight)1 -0,16858 0,15254 -1,105 0,269272
factor(x$weight)2 0,17337 0,17887 0,969 0,332575
factor(x$calorie)1 -0,64655 0,11440 -5,652 1,93e-08 ***
---
Signif. codes: 0 '***' 0,001 '**' 0,01 '*' 0,05 '.' 0,1 ' ' 1
Residual standard error: 4,268 on 1382 degrees of freedom
Multiple R-squared: 0,1488, Adjusted R-squared: 0,1433
F-statistic: 26,85 on 9 and 1382 DF, p-value: < 2,2e-16
dev.new(): using pdf(file="Rplots4.pdf")
dev.new(): using pdf(file="Rplots5.pdf")
dev.new(): using pdf(file="Rplots6.pdf")
dev.new(): using pdf(file="Rplots7.pdf")
dev.new(): using pdf(file="Rplots8.pdf")
[1] "Part worths (utilities) of levels (model parameters for whole sample):"
levnms utls
1 intercept 8,6849
2 milk -1,0891
3 walnut -0,7328
4 delicaties -0,9224
5 dark 2,7443
6 low -0,5709
7 average 0,1188
8 high 0,4521
9 paperback -0,0287
10 hardback 0,0287
11 light -0,1686
12 middle 0,1734
13 heavy -0,0048
14 little -0,6466
15 much 0,6466
[1] "Part worths (utilities) of all levels including intercept and reference levels a cross of respondents:"
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
[7,] 8,667 -4,50 0,00 -1,25 5,75 0,667 0,667 -1,333 0,125
[8,] 8,042 1,75 4,50 -5,25 -1,00 1,500 -2,375 0,875 -0,625
[9,] 8,375 1,00 -3,25 -1,00 3,25 -0,167 -1,292 1,458 -1,375
[10,] 7,458 0,25 -2,75 -2,00 4,50 2,333 -1,417 -0,917 -0,750
[11,] 9,000 -0,75 1,00 -6,00 5,75 -1,167 1,208 -0,042 0,125
[12,] 8,583 2,00 -2,50 6,00 -5,50 0,000 -0,250 0,250 0,250
[13,] 9,000 -5,00 2,00 -3,00 6,00 -1,667 1,083 0,583 0,500
[14,] 8,500 1,00 -6,00 6,00 -1,00 0,000 -0,250 0,250 0,500
[15,] 8,458 -0,75 -1,75 3,50 -1,00 -0,167 2,708 -2,542 0,750
[16,] 8,708 2,00 -2,00 -6,00 6,00 -0,833 -0,458 1,292 0,125
[17,] 8,250 -2,00 2,00 6,00 -6,00 0,833 -0,792 -0,042 -0,250
[18,] 8,667 2,25 -2,00 -6,00 5,75 -0,667 0,833 -0,167 -0,375
[19,] 8,875 -3,25 2,50 1,75 -1,00 0,833 -0,042 -0,792 -0,875
[20,] 9,583 -2,75 -2,00 3,00 1,75 -1,167 0,458 0,708 0,125
[21,] 9,292 -2,75 2,00 -1,50 2,25 -2,833 -0,708 3,542 -1,250
[22,] 7,833 -0,25 -3,50 -2,25 6,00 2,167 0,042 -2,208 0,750
[23,] 8,542 2,00 -2,00 -6,00 6,00 -1,000 0,000 1,000 0,125
[24,] 8,917 -1,50 -1,25 -3,25 6,00 -0,833 1,292 -0,458 -0,125
[25,] 8,708 -6,00 2,00 -2,00 6,00 -0,667 0,083 0,583 0,125
[26,] 8,333 5,50 -1,25 -1,25 -3,00 2,000 -0,750 -1,250 1,625
[27,] 8,667 -1,75 1,25 -5,50 6,00 -0,667 0,583 0,083 0,875
[28,] 8,583 -6,00 0,75 6,00 -0,75 -0,167 -0,542 0,708 0,500
[29,] 8,667 -6,00 -2,00 2,00 6,00 -0,667 0,333 0,333 0,000
[30,] 8,750 2,00 -2,00 -6,00 6,00 -0,333 -0,083 0,417 0,000
[31,] 8,333 3,00 4,25 -1,25 -6,00 0,000 1,250 -1,250 0,125
[32,] 7,708 -4,25 1,50 2,00 0,75 0,833 -1,542 0,708 -0,250
[33,] 9,292 -1,00 -1,50 2,00 0,50 -1,833 -0,208 2,042 -1,375
[34,] 8,667 -4,50 2,00 -3,50 6,00 -0,500 -0,125 0,625 1,000
[35,] 8,792 -0,25 -6,00 5,25 1,00 -0,500 1,625 -1,125 0,125
[36,] 8,208 5,75 1,00 -6,00 -0,75 0,000 -1,250 1,250 0,750
[37,] 8,875 -0,75 1,50 -6,00 5,25 -1,333 2,167 -0,833 0,250
[38,] 8,583 -1,00 -4,75 1,75 4,00 -1,167 -0,292 1,458 -0,875
[39,] 9,042 4,25 3,50 -1,75 -6,00 -1,667 -0,167 1,833 -0,125
[40,] 8,875 -6,00 -2,00 2,00 6,00 -1,167 -0,042 1,208 -0,125
[41,] 8,792 2,00 -6,00 -2,00 6,00 -1,167 -0,042 1,208 0,125
[42,] 8,625 -1,25 0,00 -0,75 2,00 0,500 -1,875 1,375 0,375
[43,] 8,375 6,00 -2,00 -6,00 2,00 -0,167 -0,042 0,208 -0,125
[44,] 8,375 -2,75 -1,75 -1,50 6,00 0,000 -2,250 2,250 -2,250
[45,] 8,792 -4,25 -2,50 0,75 6,00 0,000 1,500 -1,500 0,375
[46,] 8,792 -4,25 -2,50 0,75 6,00 0,000 1,500 -1,500 0,375
[47,] 8,833 -6,00 2,00 -2,00 6,00 -1,333 0,167 1,167 0,250
[48,] 8,583 -4,25 -3,00 1,25 6,00 0,667 -1,333 0,667 -0,500
[49,] 8,750 -0,75 0,00 -5,25 6,00 0,500 -0,875 0,375 0,000
[50,] 8,458 2,00 -6,00 -2,00 6,00 0,167 -0,458 0,292 -0,125
[51,] 8,792 -2,50 -4,00 0,50 6,00 -0,333 -1,833 2,167 -0,625
[52,] 8,833 -2,00 -6,00 6,00 2,00 -0,500 0,625 -0,125 0,250
[53,] 9,167 -0,50 -0,25 -0,25 1,00 -2,667 0,333 2,333 0,125
[54,] 8,667 2,00 6,00 -2,00 -6,00 -0,667 0,333 0,333 0,000
[55,] 9,000 -0,50 0,25 1,25 -1,00 -1,667 2,583 -0,917 1,625
[56,] 9,083 -2,25 -4,50 1,25 5,50 -1,667 1,083 0,583 -0,500
[57,] 8,958 -2,50 2,50 2,00 -2,00 -2,667 -1,917 4,583 -1,625
[58,] 8,875 -1,50 -2,50 -2,00 6,00 0,667 -1,833 1,167 -0,375
[59,] 9,542 0,75 -0,25 -1,25 0,75 -3,167 0,958 2,208 1,375
[60,] 8,667 -6,00 -2,00 2,00 6,00 -0,667 0,333 0,333 0,000
[61,] 8,333 -6,00 2,00 -2,00 6,00 0,500 -0,375 -0,125 0,500
[62,] 9,333 -3,75 -3,00 1,00 5,75 -1,833 1,542 0,292 0,875
[63,] 8,708 -6,00 2,00 -2,00 6,00 -1,167 -0,042 1,208 0,125
[64,] 8,792 2,25 -2,00 -6,00 5,75 -0,667 -0,167 0,833 0,250
[65,] 8,667 -2,00 -6,00 2,00 6,00 -0,667 0,333 0,333 0,000
[66,] 9,792 2,25 -2,25 -0,75 0,75 -5,333 0,667 4,667 -0,125
[67,] 8,708 -6,00 -1,50 3,00 4,50 -1,667 0,333 1,333 -0,375
[68,] 8,500 -2,00 4,75 -4,25 1,50 -0,667 -0,917 1,583 0,125
[69,] 8,667 -6,00 3,00 5,00 -2,00 -1,000 0,000 1,000 0,250
[70,] 8,667 2,00 -2,00 -6,00 6,00 -0,667 0,333 0,333 0,000
[71,] 8,458 -5,75 0,25 0,00 5,50 0,833 -0,042 -0,792 -1,000
[72,] 8,833 1,25 -2,75 -4,50 6,00 -1,167 1,458 -0,292 -0,375
[73,] 8,542 -6,00 2,00 -2,00 6,00 -0,333 -0,333 0,667 0,125
[74,] 8,458 2,25 0,75 -5,25 2,25 1,667 0,917 -2,583 -1,125
[75,] 8,458 2,25 0,75 -5,25 2,25 1,667 0,917 -2,583 -1,125
[76,] 8,583 -1,00 1,00 -3,00 3,00 -0,167 0,208 -0,042 0,000
[77,] 9,083 -3,75 0,25 -2,50 6,00 -1,000 0,000 1,000 0,625
[78,] 8,167 -3,00 -1,75 -1,25 6,00 0,000 1,000 -1,000 -0,375
[79,] 8,583 -0,50 -3,00 -2,50 6,00 0,167 1,542 -1,708 -0,250
[80,] 8,250 1,75 3,00 -5,00 0,25 -0,500 2,625 -2,125 0,125
[81,] 10,000 0,00 0,00 0,00 0,00 -5,333 0,667 4,667 0,500
[82,] 9,167 -0,50 -0,25 -0,25 1,00 -2,667 0,333 2,333 0,375
[83,] 8,667 2,00 6,00 -2,00 -6,00 -1,167 -0,042 1,208 0,000
[84,] 8,167 6,00 -6,00 -2,00 2,00 0,333 0,083 -0,417 -0,250
[85,] 8,667 -1,75 -1,50 0,50 2,75 -1,167 -0,292 1,458 -0,375
[86,] 8,667 2,00 -6,00 -2,00 6,00 -0,667 0,333 0,333 0,000
[87,] 8,833 2,00 2,00 2,00 -6,00 -1,000 0,000 1,000 -0,250
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
[7,] -0,125 -1,333 0,667 0,667 -0,250 0,250
[8,] 0,625 0,333 0,333 -0,667 -0,375 0,375
[9,] 1,375 0,667 -0,083 -0,583 0,125 -0,125
[10,] 0,750 1,833 1,458 -3,292 0,375 -0,375
[11,] -0,125 -0,833 0,292 0,542 0,500 -0,500
[12,] -0,250 -0,333 0,167 0,167 -1,250 1,250
[13,] -0,500 -0,333 -0,333 0,667 0,500 -0,500
[14,] -0,500 0,000 -1,000 1,000 0,250 -0,250
[15,] -0,750 0,333 -2,667 2,333 0,875 -0,875
[16,] -0,125 0,000 0,500 -0,500 -0,125 0,125
[17,] 0,250 0,167 -0,458 0,292 -0,250 0,250
[18,] 0,375 0,000 -0,250 0,250 0,250 -0,250
[19,] 0,875 -2,333 0,417 1,917 -1,875 1,875
[20,] -0,125 -3,167 -2,042 5,208 0,500 -0,500
[21,] 1,250 -0,333 0,167 0,167 -2,125 2,125
[22,] -0,750 0,500 -0,625 0,125 0,250 -0,250
[23,] -0,125 0,833 -0,292 -0,542 0,125 -0,125
[24,] 0,125 -0,833 1,042 -0,208 -1,750 1,750
[25,] -0,125 -0,167 0,458 -0,292 -0,875 0,875
[26,] -1,625 -1,333 1,917 -0,583 -0,750 0,750
[27,] -0,875 0,000 -1,500 1,500 -0,250 0,250
[28,] -0,500 -0,167 -0,042 0,208 -1,500 1,500
[29,] 0,000 0,000 0,000 0,000 -1,000 1,000
[30,] 0,000 -0,667 0,333 0,333 -0,250 0,250
[31,] -0,125 0,667 -1,583 0,917 1,000 -1,000
[32,] 0,250 2,333 -1,417 -0,917 -0,375 0,375
[33,] 1,375 -1,333 1,917 -0,583 -2,125 2,125
[34,] -1,000 -0,167 -0,292 0,458 0,000 0,000
[35,] -0,125 -0,667 -0,667 1,333 0,875 -0,875
[36,] -0,750 1,167 -0,708 -0,458 -0,375 0,375
[37,] -0,250 -0,167 -0,042 0,208 -0,125 0,125
[38,] 0,875 0,833 0,708 -1,542 -1,500 1,500
[39,] 0,125 -0,500 -0,375 0,875 -0,125 0,125
[40,] 0,125 -0,333 0,417 -0,083 -0,375 0,375
[41,] -0,125 0,000 0,250 -0,250 0,125 -0,125
[42,] -0,375 -1,000 2,000 -1,000 -3,875 3,875
[43,] 0,125 0,667 -0,083 -0,583 0,875 -0,875
[44,] 2,250 0,500 -0,375 -0,125 -0,625 0,625
[45,] -0,375 -1,167 -0,042 1,208 0,125 -0,125
[46,] -0,375 -1,167 -0,042 1,208 0,125 -0,125
[47,] -0,250 0,000 0,000 0,000 0,000 0,000
[48,] 0,500 -1,000 2,000 -1,000 -0,250 0,250
[49,] 0,000 -1,500 0,625 0,875 -1,000 1,000
[50,] 0,125 0,000 0,250 -0,250 0,875 -0,875
[51,] 0,625 -0,833 2,042 -1,208 -1,375 1,375
[52,] -0,250 -0,833 0,292 0,542 0,000 0,000
[53,] -0,125 0,000 -0,250 0,250 -4,000 4,000
[54,] 0,000 0,000 0,000 0,000 -1,000 1,000
[55,] -1,625 -0,333 -1,333 1,667 0,000 0,000
[56,] 0,500 -0,667 -0,417 1,083 -2,000 2,000
[57,] 1,625 0,833 -1,292 0,458 -0,875 0,875
[58,] 0,375 -2,167 1,458 0,708 -1,375 1,375
[59,] -1,375 -1,000 2,500 -1,500 -2,125 2,125
[60,] 0,000 0,000 0,000 0,000 -1,000 1,000
[61,] -0,500 0,167 0,792 -0,958 0,250 -0,250
[62,] -0,875 -1,500 -0,625 2,125 0,250 -0,250
[63,] -0,125 0,333 0,083 -0,417 0,125 -0,125
[64,] -0,250 -0,500 0,625 -0,125 -0,875 0,875
[65,] 0,000 0,000 0,000 0,000 -1,000 1,000
[66,] 0,125 0,167 -0,208 0,042 0,125 -0,125
[67,] 0,375 0,833 0,708 -1,542 0,125 -0,125
[68,] -0,125 0,667 0,417 -1,083 -2,500 2,500
[69,] -0,250 0,333 1,083 -1,417 0,250 -0,250
[70,] 0,000 0,000 0,000 0,000 -1,000 1,000
[71,] 1,000 -0,667 1,083 -0,417 -0,875 0,875
[72,] 0,375 -0,167 0,958 -0,792 -0,750 0,750
[73,] -0,125 0,167 -0,458 0,292 0,375 -0,375
[74,] 1,125 -1,500 2,625 -1,125 -0,125 0,125
[75,] 1,125 -1,500 2,625 -1,125 -0,125 0,125
[76,] 0,000 -0,167 -0,042 0,208 -4,000 4,000
[77,] -0,625 -1,333 0,167 1,167 0,000 0,000
[78,] 0,375 1,333 -0,167 -1,167 -2,500 2,500
[79,] 0,250 -0,500 -0,125 0,625 -1,250 1,250
[80,] -0,125 1,500 -0,875 -0,625 -1,000 1,000
[81,] -0,500 -0,667 0,083 0,583 -0,500 0,500
[82,] -0,375 0,000 0,000 0,000 -4,000 4,000
[83,] 0,000 0,500 -0,375 -0,125 0,250 -0,250
[84,] 0,250 1,000 -0,750 -0,250 0,500 -0,500
[85,] 0,375 0,500 -0,125 -0,375 -4,000 4,000
[86,] 0,000 0,000 0,000 0,000 -1,000 1,000
[87,] 0,250 -0,333 0,417 -0,083 -2,500 2,500
[1] "Total utilities of profiles a cross of respondents:"
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 13,750 15,000 5,250 1,250 1,250 11,500 3,500 9,750 16,000 13,250
[2,] 11,000 11,250 5,500 10,500 9,750 4,000 16,000 8,000 4,000 9,750
[3,] 7,500 6,625 9,375 13,375 13,750 2,000 16,375 2,250 5,750 6,125
[4,] 5,625 6,250 10,500 13,750 15,375 11,625 7,000 4,625 8,125 7,000
[5,] 7,375 4,125 7,125 11,875 14,125 7,625 17,375 4,625 1,875 2,625
[6,] 12,750 14,500 7,625 9,625 10,000 6,625 5,750 6,500 13,125 14,625
[7,] 6,625 6,875 7,625 13,375 15,375 5,625 12,125 5,375 8,875 6,625
[8,] 3,000 1,750 14,625 9,125 5,250 12,625 8,000 5,750 4,625 3,625
[9,] 7,500 8,000 7,125 13,625 11,750 10,375 12,250 6,250 7,875 6,625
[10,] 5,625 6,250 10,000 17,250 13,125 11,875 11,750 2,625 4,875 9,250
[11,] 3,875 2,750 8,375 13,125 16,625 6,750 13,500 10,625 1,750 1,625
[12,] 14,000 15,000 4,250 1,250 1,500 11,750 4,500 9,500 15,750 13,250
[13,] 7,250 5,750 9,000 13,000 15,750 1,000 15,250 6,750 4,000 5,000
[14,] 14,500 13,500 2,250 7,250 6,000 7,750 8,000 11,000 14,750 15,250
[15,] 8,375 13,375 7,000 7,750 7,625 3,250 5,125 14,375 12,500 13,750
[16,] 4,500 2,250 5,625 13,625 14,500 10,375 16,250 9,750 1,375 1,875
[17,] 13,250 14,125 11,250 3,250 1,000 7,125 2,375 5,250 15,875 14,750
[18,] 2,125 3,625 6,625 14,375 15,625 10,125 13,625 11,875 2,375 1,875
[19,] 7,500 11,000 8,875 5,375 7,250 9,625 5,750 4,750 16,125 6,375
[20,] 11,875 9,250 3,625 7,375 10,125 3,000 8,500 13,125 16,000 8,875
[21,] 8,125 10,125 7,250 7,500 10,125 7,250 15,625 2,625 8,500 1,250
[22,] 3,750 5,125 6,500 16,000 12,750 8,125 12,625 8,750 6,875 9,250
[23,] 3,500 3,125 6,375 14,375 14,250 9,000 16,375 10,250 0,750 2,625
[24,] 4,375 8,000 4,375 11,625 15,625 9,500 15,250 6,625 6,500 2,125
[25,] 7,000 7,375 8,875 12,875 14,250 3,250 16,125 1,750 6,500 5,125
[26,] 8,625 4,125 5,375 3,625 4,125 16,875 5,125 13,375 7,625 8,625
[27,] 2,375 3,125 8,125 12,875 12,625 4,125 15,875 9,625 3,375 3,125
[28,] 14,250 14,875 7,000 5,500 5,250 3,375 10,375 1,250 15,625 13,250
[29,] 10,000 12,000 5,000 13,000 14,000 3,000 16,000 2,000 11,000 9,000
[30,] 3,250 2,250 5,500 13,500 14,750 11,000 14,750 10,750 3,000 1,500
[31,] 5,375 7,875 14,125 3,875 2,875 8,625 0,875 14,625 6,875 8,875
[32,] 8,375 11,125 12,250 11,500 5,375 3,500 11,625 0,375 10,250 12,250
[33,] 11,750 13,250 3,875 5,875 10,750 11,875 11,250 4,000 12,375 4,625
[34,] 6,500 3,875 9,000 13,000 13,250 2,375 16,125 5,500 4,125 5,500
[35,] 13,250 14,000 2,375 9,375 11,500 6,375 7,250 12,500 13,875 13,875
[36,] 3,125 1,750 9,250 7,500 4,375 12,875 11,000 12,625 1,375 3,750
[37,] 2,125 4,750 8,500 12,250 15,875 6,625 13,500 10,625 1,625 1,500
[38,] 10,125 13,250 2,875 11,625 12,375 9,500 15,500 3,375 10,000 7,625
[39,] 8,500 6,875 10,375 0,875 2,500 11,500 4,375 13,750 6,750 4,875
[40,] 12,000 11,000 5,125 13,125 15,000 2,625 16,000 2,250 10,125 8,875
[41,] 8,500 6,500 1,625 13,625 15,000 9,625 16,000 10,750 5,125 5,875
[42,] 7,750 8,500 3,875 5,875 6,500 13,375 15,250 1,000 10,875 3,875
[43,] 3,250 2,250 7,875 11,875 11,250 13,375 10,250 14,500 0,875 3,625
[44,] 5,875 8,000 8,750 16,500 13,375 8,125 15,500 0,375 9,625 4,500
[45,] 8,500 9,375 4,875 13,375 16,000 4,000 12,375 7,750 10,250 8,875
[46,] 8,500 9,375 4,875 13,375 16,000 4,000 12,375 7,750 10,250 8,875
[47,] 8,250 6,750 9,250 13,250 14,750 1,250 16,250 3,250 5,250 5,750
[48,] 11,750 8,250 5,500 14,500 15,500 7,750 14,000 1,250 10,250 8,750
[49,] 3,500 2,125 6,750 12,750 13,500 10,125 14,625 7,000 5,875 1,500
[50,] 7,750 5,250 3,625 15,625 15,250 10,125 13,750 10,500 5,625 7,375
[51,] 11,500 8,625 2,875 12,875 14,250 10,000 16,875 1,250 9,750 6,125
[52,] 15,250 14,375 1,250 9,250 11,500 6,375 10,125 8,250 14,625 13,750
[53,] 7,125 13,125 2,125 3,375 6,125 9,625 16,625 5,375 10,375 2,375
[54,] 6,000 8,000 13,000 1,000 2,000 11,000 4,000 10,000 7,000 5,000
[55,] 9,625 10,875 5,625 4,375 7,625 3,875 8,375 14,375 8,625 9,875
[56,] 8,000 13,250 0,750 10,750 13,750 7,250 16,000 6,500 12,250 5,500
[57,] 11,750 12,375 10,375 5,875 4,500 5,000 11,625 2,500 11,250 6,625
[58,] 7,750 4,625 3,875 12,375 13,500 11,250 14,875 4,500 10,000 3,625
[59,] 12,250 9,000 1,625 2,625 10,250 10,375 15,000 9,000 4,375 3,375
[60,] 10,000 12,000 5,000 13,000 14,000 3,000 16,000 2,000 11,000 9,000
[61,] 7,750 5,375 10,750 14,750 14,500 2,875 14,625 1,750 5,125 7,750
[62,] 11,125 9,250 2,375 11,125 15,375 2,000 14,500 10,375 9,500 8,125
[63,] 8,250 6,750 9,875 13,875 14,750 1,375 16,250 2,500 4,875 6,125
[64,] 3,625 2,750 4,500 12,250 13,875 11,625 16,000 10,125 2,625 1,000
[65,] 10,000 12,000 1,000 13,000 14,000 7,000 16,000 6,000 11,000 9,000
[66,] 13,500 9,875 2,625 5,625 11,250 6,500 15,125 12,750 3,750 3,875
[67,] 13,500 13,125 6,875 12,875 14,750 2,000 14,875 1,250 8,750 10,625
[68,] 3,875 6,375 10,625 7,375 6,875 8,625 14,875 2,125 4,875 1,875
[69,] 16,250 13,500 11,000 6,000 7,750 2,250 8,000 1,750 10,750 13,500
[70,] 2,000 4,000 5,000 13,000 14,000 11,000 16,000 10,000 3,000 1,000
[71,] 6,875 9,625 9,000 14,250 15,125 6,500 12,375 0,375 10,750 6,750
[72,] 3,875 6,750 4,375 13,125 16,875 11,000 14,750 9,625 3,500 1,875
[73,] 7,250 5,875 10,625 14,625 14,000 1,250 15,125 3,000 6,000 6,875
[74,] 2,000 3,875 10,375 11,875 15,250 16,250 5,625 9,250 5,000 2,125
[75,] 2,000 3,875 10,375 11,875 15,250 16,250 5,625 9,250 5,000 2,125
[76,] 1,500 9,625 5,250 7,250 7,750 11,375 15,375 4,000 9,625 1,250
[77,] 8,375 4,625 6,375 12,125 14,625 3,875 15,375 7,125 6,125 4,875
[78,] 2,875 12,125 5,625 13,375 12,875 7,875 16,625 2,125 8,625 5,375
[79,] 2,750 8,625 4,250 13,250 15,000 9,625 13,375 8,750 8,375 4,250
[80,] -0,625 8,250 11,125 8,375 9,125 9,500 9,000 11,125 3,000 3,375
[81,] 14,750 10,000 3,000 3,000 9,750 4,750 15,000 11,250 5,250 4,000
[82,] 7,625 12,875 1,875 3,125 6,125 9,625 16,875 5,375 9,875 2,625
[83,] 7,750 6,875 14,250 2,250 2,500 8,875 4,125 10,750 5,125 6,250
[84,] 5,250 7,000 4,250 12,250 10,250 13,500 10,000 14,250 6,000 7,750
[85,] 6,125 13,750 2,875 7,125 7,375 10,000 17,000 1,875 12,000 4,125
[86,] 6,000 8,000 1,000 13,000 14,000 11,000 16,000 10,000 7,000 5,000
[87,] 9,500 13,250 7,250 -0,750 1,000 13,000 5,750 8,000 12,500 6,750
[,11] [,12] [,13] [,14] [,15] [,16]
[1,] 11,500 7,000 6,250 9,250 4,000 7,500
[2,] 12,750 9,000 6,250 9,250 6,750 2,250
[3,] 3,625 11,375 10,500 2,125 14,500 10,750
[4,] 3,000 6,750 5,375 6,750 11,875 12,375
[5,] 9,375 10,125 8,875 5,375 12,625 10,875
[6,] 4,750 6,000 4,750 7,125 6,625 5,625
[7,] 1,625 8,375 7,625 3,375 16,125 10,375
[8,] 12,000 10,250 13,000 10,625 7,625 14,125
[9,] 12,750 3,000 7,500 8,625 9,375 3,375
[10,] 9,000 4,000 1,625 11,500 9,875 7,375
[11,] 6,750 10,000 10,875 6,875 13,750 8,750
[12,] 11,500 7,000 5,000 9,250 4,750 7,750
[13,] 3,250 11,750 12,250 3,000 14,000 9,000
[14,] 9,000 2,500 3,500 10,250 8,750 1,750
[15,] 3,875 9,625 6,625 9,500 9,500 3,750
[16,] 12,000 6,500 7,250 9,875 13,625 6,625
[17,] 6,875 9,625 10,500 6,750 3,375 10,625
[18,] 10,875 6,875 7,375 10,125 13,375 5,125
[19,] 5,250 10,000 11,500 1,375 11,625 13,625
[20,] 3,750 4,500 13,875 3,125 15,000 4,000
[21,] 13,125 11,125 14,125 0,000 9,750 9,500
[22,] 4,875 5,375 1,750 11,250 16,625 6,375
[23,] 12,125 7,375 7,000 10,625 13,000 5,250
[24,] 8,000 9,750 5,375 3,875 15,500 9,500
[25,] 3,875 11,625 10,000 1,125 14,750 11,500
[26,] 10,375 7,375 2,875 15,375 9,125 13,375
[27,] 6,375 11,625 10,375 6,875 16,625 8,875
[28,] 4,125 10,625 8,250 1,250 9,875 11,125
[29,] 4,000 8,000 6,000 1,000 15,000 7,000
[30,] 10,750 6,250 7,250 9,500 15,000 7,000
[31,] 9,625 13,625 13,125 13,125 2,375 10,125
[32,] 7,125 10,125 8,875 6,000 8,500 8,750
[33,] 12,500 7,000 8,500 1,625 8,125 8,625
[34,] 3,625 11,375 10,750 4,500 15,625 10,875
[35,] 5,750 3,000 3,750 8,375 9,875 0,875
[36,] 16,000 10,250 8,875 15,500 8,125 9,625
[37,] 7,000 12,750 9,375 6,750 13,375 9,375
[38,] 12,250 5,000 3,125 4,875 10,500 4,000
[39,] 14,875 11,875 15,250 10,875 2,250 10,500
[40,] 4,250 6,750 7,750 0,875 13,875 6,375
[41,] 11,750 2,750 3,750 9,875 13,375 1,875
[42,] 11,250 10,000 4,750 3,375 14,375 15,375
[43,] 14,500 6,000 7,000 15,625 8,625 5,125
[44,] 11,250 3,250 10,375 3,250 12,625 4,625
[45,] 1,375 6,875 5,750 3,875 16,250 6,500
[46,] 1,375 6,875 5,750 3,875 16,250 6,500
[47,] 3,750 11,250 11,750 1,750 13,750 9,750
[48,] 4,750 3,000 5,500 3,250 14,000 8,000
[49,] 7,875 7,375 9,000 6,000 17,125 10,875
[50,] 10,000 1,000 3,500 11,375 13,375 1,875
[51,] 9,625 2,875 5,000 3,125 14,000 7,250
[52,] 5,625 2,875 3,000 5,750 11,125 2,875
[53,] 14,875 13,375 7,375 2,125 11,875 10,125
[54,] 12,000 16,000 14,000 9,000 3,000 15,000
[55,] 5,625 13,125 8,375 8,125 9,625 7,875
[56,] 9,250 6,500 4,750 2,000 15,500 4,000
[57,] 14,375 9,625 17,250 2,125 4,000 6,750
[58,] 8,125 3,375 7,250 4,125 17,250 9,500
[59,] 12,250 12,750 6,500 5,375 9,125 12,125
[60,] 4,000 8,000 6,000 1,000 15,000 7,000
[61,] 1,625 10,375 9,000 3,750 14,125 11,875
[62,] 3,250 7,000 8,125 3,375 16,000 4,500
[63,] 4,000 11,000 11,500 2,125 13,125 9,625
[64,] 12,000 7,250 6,375 9,250 14,875 7,875
[65,] 8,000 4,000 2,000 5,000 15,000 3,000
[66,] 16,875 8,125 12,500 6,875 5,000 1,750
[67,] 5,125 7,875 7,500 1,625 9,500 5,750
[68,] 11,125 15,625 11,125 4,125 10,875 15,625
[69,] 3,500 12,000 11,250 2,500 4,250 11,750
[70,] 12,000 8,000 6,000 9,000 15,000 7,000
[71,] 3,125 7,875 7,625 1,000 14,250 10,500
[72,] 10,750 7,750 4,625 7,625 13,250 6,250
[73,] 2,875 10,125 11,750 2,875 14,250 9,500
[74,] 7,875 7,625 6,500 9,625 10,250 12,500
[75,] 7,875 7,625 6,500 9,625 10,250 12,500
[76,] 11,375 13,625 5,750 3,250 15,625 13,375
[77,] 4,375 8,625 10,875 3,625 15,875 9,125
[78,] 8,375 10,875 2,125 3,625 15,125 8,375
[79,] 7,375 7,625 3,500 6,250 16,375 6,625
[80,] 10,250 16,500 7,375 10,125 8,500 11,000
[81,] 14,000 11,000 14,250 4,000 6,250 5,750
[82,] 14,625 13,625 6,875 2,375 11,875 10,625
[83,] 12,125 14,875 16,000 10,250 1,125 12,875
[84,] 14,500 2,500 2,250 15,750 9,500 1,000
[85,] 13,250 11,000 4,625 1,875 13,500 9,500
[86,] 12,000 4,000 2,000 9,000 15,000 3,000
[87,] 14,250 12,750 9,500 6,750 4,000 12,500
[1] "Average importance of factors (attributes):"
[1] 56,79 16,42 5,43 10,61 10,75
[1] Sum of average importance: 100
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