vottrans {vottrans} | R Documentation |
Voter Transfer Analysis
Description
Calculates the voter transfers between two elections
Usage
vottrans(Ro, Rn, v = 1, nw = FALSE)
Arguments
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) |
Value
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
Author(s)
Michael Gampmayer
Examples
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-01