| Title: | Voter Transition Analysis |
|---|---|
| Description: | Calculates voter transitions comparing two elections, using the function solve.QP() in package 'quadprog'. |
| Authors: | Michael Gampmayer |
| Maintainer: | Michael Gampmayer <[email protected]> |
| License: | GPL-3 |
| Version: | 1.0 |
| Built: | 2024-11-13 06:16:17 UTC |
| Source: | CRAN |
Calculates the voter transfers between two elections
| Package: | vottrans |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-03-15 |
| License: | GPL-3 |
'Vottrans' calculates voter shifts between the partys comparing two elections. Rn is the matrix with the results of the first election in total. Ro the matrix with the results of the second one. The first columns must contain the respective numbers of eligible voters.
Michael Gampmayer
Maintainer: Michael Gampmayer <[email protected]>
data(X1) ## loading the example data of 2009 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 101131 21491 16006 7480 7095 2483 46576 ## 4388 1463 1487 290 128 80 940 ## 2658 744 940 250 124 79 521 ## 1728 484 661 154 26 25 378 ## ... ... ... ... ... ... ... data(Y1) ## loading the example data of 2013 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 99723 15204 13755 9402 16147 4752 40463 ## 4396 979 1240 373 479 196 1129 ## 2744 402 771 300 497 150 624 ## 1702 308 594 195 129 71 405 ## ... ... ... ... ... ... ... vottrans(X1,Y1,v=1) ## calculating the estimated voter transitions ## [,1] [,2] [,3] [,4] [,5] [,6] ## 5.171150e-01 -6.904960e-18 1.051492e-01 1.992879e-02 8.083999e-02 2.769671e-01 ## 0.000000e+00 7.593029e-01 2.750599e-02 8.736985e-02 6.013103e-02 6.569028e-02 ## -1.738393e-18 -2.520292e-18 8.263083e-01 -8.776092e-19 4.631644e-02 1.273753e-01 ## -1.242397e-17 3.955979e-17 -1.412332e-17 1.000000e+00 5.387532e-18 -1.168024e-16 ## 5.551115e-17 0.000000e+00 -8.729910e-18 8.325580e-01 1.674420e-01 -2.108759e-17 ## 6.898481e-02 2.959417e-02 1.703398e-02 1.273023e-01 3.641480e-02 7.206699e-01data(X1) ## loading the example data of 2009 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 101131 21491 16006 7480 7095 2483 46576 ## 4388 1463 1487 290 128 80 940 ## 2658 744 940 250 124 79 521 ## 1728 484 661 154 26 25 378 ## ... ... ... ... ... ... ... data(Y1) ## loading the example data of 2013 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 99723 15204 13755 9402 16147 4752 40463 ## 4396 979 1240 373 479 196 1129 ## 2744 402 771 300 497 150 624 ## 1702 308 594 195 129 71 405 ## ... ... ... ... ... ... ... vottrans(X1,Y1,v=1) ## calculating the estimated voter transitions ## [,1] [,2] [,3] [,4] [,5] [,6] ## 5.171150e-01 -6.904960e-18 1.051492e-01 1.992879e-02 8.083999e-02 2.769671e-01 ## 0.000000e+00 7.593029e-01 2.750599e-02 8.736985e-02 6.013103e-02 6.569028e-02 ## -1.738393e-18 -2.520292e-18 8.263083e-01 -8.776092e-19 4.631644e-02 1.273753e-01 ## -1.242397e-17 3.955979e-17 -1.412332e-17 1.000000e+00 5.387532e-18 -1.168024e-16 ## 5.551115e-17 0.000000e+00 -8.729910e-18 8.325580e-01 1.674420e-01 -2.108759e-17 ## 6.898481e-02 2.959417e-02 1.703398e-02 1.273023e-01 3.641480e-02 7.206699e-01
Calculates the voter transfers between two elections
vottrans(Ro, Rn, v = 1, nw = FALSE)vottrans(Ro, Rn, v = 1, nw = FALSE)
Ro |
Matrix containing the results of the first election in total. The first column has to contain the number of eligible voters. |
Rn |
Matrix containing the results of the second election in total. The first column has to contain the number of eligible voters. |
v |
Specifies how the entries are weighted. Version 1 calculates with the percentage values, but weights the residuals with the number of eligible voters per municipalities. Version 2 uses the percentage values without any weight. Version 3 calculates with absolute figures without any weight. (Default: v=1) |
nw |
Specifies whether the difference in the numbers of eligible voters between the two elections is added to the nonvoters of the second election or not. (Default= FALSE) |
Returns a matrix containing the percentage of voter shifts. The voter shifts from party 1 to party 2 are found in entry a_1,2
Michael Gampmayer
data(X1) ## loading the example data of 2009 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 101131 21491 16006 7480 7095 2483 46576 ## 4388 1463 1487 290 128 80 940 ## 2658 744 940 250 124 79 521 ## 1728 484 661 154 26 25 378 ## ... ... ... ... ... ... ... data(Y1) ## loading the example data of 2013 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 99723 15204 13755 9402 16147 4752 40463 ## 4396 979 1240 373 479 196 1129 ## 2744 402 771 300 497 150 624 ## 1702 308 594 195 129 71 405 ## ... ... ... ... ... ... ... vottrans(X1,Y1,v=1) ## calculating the estimated voter transitions ## [,1] [,2] [,3] [,4] [,5] [,6] ## 5.171150e-01 -6.904960e-18 1.051492e-01 1.992879e-02 8.083999e-02 2.769671e-01 ## 0.000000e+00 7.593029e-01 2.750599e-02 8.736985e-02 6.013103e-02 6.569028e-02 ## -1.738393e-18 -2.520292e-18 8.263083e-01 -8.776092e-19 4.631644e-02 1.273753e-01 ## -1.242397e-17 3.955979e-17 -1.412332e-17 1.000000e+00 5.387532e-18 -1.168024e-16 ## 5.551115e-17 0.000000e+00 -8.729910e-18 8.325580e-01 1.674420e-01 -2.108759e-17 ## 6.898481e-02 2.959417e-02 1.703398e-02 1.273023e-01 3.641480e-02 7.206699e-01data(X1) ## loading the example data of 2009 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 101131 21491 16006 7480 7095 2483 46576 ## 4388 1463 1487 290 128 80 940 ## 2658 744 940 250 124 79 521 ## 1728 484 661 154 26 25 378 ## ... ... ... ... ... ... ... data(Y1) ## loading the example data of 2013 ## [,1] [,2] [,3] [,4] [,5] [,6] [,7] ## 99723 15204 13755 9402 16147 4752 40463 ## 4396 979 1240 373 479 196 1129 ## 2744 402 771 300 497 150 624 ## 1702 308 594 195 129 71 405 ## ... ... ... ... ... ... ... vottrans(X1,Y1,v=1) ## calculating the estimated voter transitions ## [,1] [,2] [,3] [,4] [,5] [,6] ## 5.171150e-01 -6.904960e-18 1.051492e-01 1.992879e-02 8.083999e-02 2.769671e-01 ## 0.000000e+00 7.593029e-01 2.750599e-02 8.736985e-02 6.013103e-02 6.569028e-02 ## -1.738393e-18 -2.520292e-18 8.263083e-01 -8.776092e-19 4.631644e-02 1.273753e-01 ## -1.242397e-17 3.955979e-17 -1.412332e-17 1.000000e+00 5.387532e-18 -1.168024e-16 ## 5.551115e-17 0.000000e+00 -8.729910e-18 8.325580e-01 1.674420e-01 -2.108759e-17 ## 6.898481e-02 2.959417e-02 1.703398e-02 1.273023e-01 3.641480e-02 7.206699e-01
The package includes the official results of the state elections in Salzburg of 2009 and 2013. X1 contains the results of the election of 2009, Y1 the results of the election of 2013. Load data(X1) and data(Y1); 'loesung(X1,Y1)' calculates the voter shifts between the parties of the two elections. The example data set X1 contains the results of the following parties: SPOE, OEVP, FPOE, GRUENE, BZOE, OTHERS, NONVOTERS. Each row contains the result of one of the 119 municipalities.
data(X1)data(X1)
http://www.salzburg.gv.at/20003stat/wahlen/ltw/index.htm#dl.5
Official results of the state election in Salzburg 2013. The example dataset Y1 contains the results of the following parties: SPOE, OEVP, FPOE, GRUENE, TEAM, OTHERS, NONVOTERS. Each row contains the result of one of the 119 municipalities.
data(Y1)data(Y1)
http://www.salzburg.gv.at/20003stat/wahlen/ltw/index.htm#dl.5