GiniWegNeg
Computing the Gini-Based Coefficients for Weighted and Negative Attributes

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RSVc: Ordinary (empirical) RSV (Raffinetti, Siletti and Vernizzi,...

RSVc: Ordinary (empirical) RSV (Raffinetti, Siletti and Vernizzi,...
In GiniWegNeg: Computing the Gini-Based Coefficients for Weighted and Negative Attributes

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/RSVc.R

Description

computes the x-axis and y-axis values of the ordinary (empirical) RSV curve of maximum inequality for negative attributes.

Usage

1
RSVc(z,w=rep(1,length(z)),plot=FALSE)

Arguments

z

a vector of attributes containing negative elements

w

a vector containing the weights associated with the elements of the attribute vector

plot

logical. If TRUE the ordinary (empirical) RSV curve of maximum inequality is plotted

Details

RSVc(z,w) provides the points of the ordinary (empirical) RSV curve of maximum inequality.

Value

A list of class RSVc with the following components:

RSV (maximum inequality) x-axis points

vector with the x-axis values of the ordinary (empirical) RSV curve of maximum inequality

RSV (maximum inequality) y-axis points

vector with the y-axis values of the ordinary (empirical) RSV curve of maximum inequality.

Note

If the vector w contains unitary elements, the plot of the ordinary (empirical) RSV curve of maximum inequality is obtained as RSVc(z,plot=TRUE).

Author(s)

Emanuela Raffinetti, Fabio Aimar

References

E. Raffinetti, E. Siletti, A. Vernizzi (2014), Inequality measures and the issue of negative income. Italian Statistical Society Conference (SIS), Book of Short Papers: "SIS 2014. 47th Scientific Meeting of the Italian Statistical Society", CUEC (Cooperativa Universitaria Editrice Cagliaritana), 11-13 June 2014

E. Raffinetti, E. Siletti, A. Vernizzi (2015), On the Gini coefficient normalization when incomes with negative values are considered, Statistical Methods & Applications, 24(3), 507-521

See Also

ineq, IC2

Examples

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# generate the vector of attributes with even negative elements
z<-c(-8,-11,9,-12,7,6,35)
# plot the ordinary (empirical) RSV curve of maximum inequality
RSVc(z,plot=TRUE) 

# generate the vector of attributes with even negative elements
z<-c(12,-21,-10,6,1,-3,40)
# generate the vector of non-unitary weights
w<-c(1.2,2.3,1.6,3.5,4.7,4,2.2)
# plot the ordinary (empirical) RSV curve of maximum inequality
RSVc(z,w,plot=TRUE) 

data(BI2012)
# define the vector of non-unitary weights
w<-BI2012$weight 

# select the vector of incomes (e.g., the incomes from transfers YTA)
z<-BI2012$YTA
# plot the ordinary (empirical) RSV curve of maximum inequality
RSVc(z,w,plot=TRUE) 

# select the vector of incomes (e.g., the incomes from financial capital gain YCF)
z<-BI2012$YCF
# plot the ordinary (empirical) RSV curve of maximum inequality
RSVc(z,w,plot=TRUE)

Example output

$`RSV (maximum inequality) x-axis points`
[1] 0.0000000 0.1428571 0.2857143 0.4285714 0.5714286 0.7142857 0.8571429
[8] 1.0000000

$`RSV (maximum inequality) y-axis points`
[1]  0.000000 -1.192308 -1.192308 -1.192308 -1.192308 -1.192308 -1.192308
[8]  1.000000

$`RSV (maximum inequality) x-axis points`
[1] 0.00000000 0.06153846 0.17948718 0.26153846 0.44102564 0.68205128 0.88717949
[8] 1.00000000

$`RSV (maximum inequality) y-axis points`
[1]  0.000000 -1.472973 -1.472973 -1.472973 -1.472973 -1.472973 -1.472973
[8]  1.000000

$`RSV (maximum inequality) x-axis points`
  [1] 0.000000000 0.002793724 0.009800403 0.012653261 0.016247102 0.017533666
  [7] 0.040996217 0.043388341 0.050347197 0.073820033 0.078678326 0.080427168
 [13] 0.081154780 0.082176523 0.084134136 0.106256646 0.111961335 0.127178981
 [19] 0.129607614 0.131203219 0.138652122 0.147510485 0.149741659 0.153199747
 [25] 0.159073613 0.183109513 0.185721720 0.187714813 0.196980433 0.211448355
 [31] 0.218071945 0.219338454 0.223744752 0.227368418 0.228701774 0.235806154
 [37] 0.237370907 0.240447963 0.243474111 0.247477781 0.249852935 0.255902661
 [43] 0.259575177 0.261253057 0.265895380 0.266720693 0.270309392 0.271289484
 [49] 0.273396732 0.275024219 0.278589264 0.280143219 0.282488034 0.286017084
 [55] 0.286969408 0.295621057 0.303374374 0.305671368 0.311587913 0.316100654
 [61] 0.316100654 0.318329772 0.319200850 0.320487413 0.323697650 0.326336596
 [67] 0.329958205 0.332165725 0.335123998 0.336136485 0.344075947 0.346393509
 [73] 0.348256506 0.351659574 0.353505602 0.359149614 0.364942233 0.366657651
 [79] 0.370253034 0.371816245 0.378410009 0.385897992 0.388570362 0.396310310
 [85] 0.396889829 0.399482495 0.409130691 0.412543014 0.414444063 0.417674869
 [91] 0.421182322 0.423012409 0.426342458 0.432337678 0.448784810 0.455867078
 [97] 0.465190804 0.466604378 0.466604378 0.476536420 0.483224286 0.485210180
[103] 0.485975844 0.490212967 0.493444801 0.496822158 0.499284728 0.500719899
[109] 0.509965980 0.519862026 0.522042807 0.525557459 0.553927154 0.554862509
[115] 0.556076569 0.563872051 0.565610608 0.568039241 0.582204805 0.583508337
[121] 0.603507659 0.607302557 0.609040600 0.610338476 0.614733462 0.634891161
[127] 0.636447173 0.637362473 0.650772658 0.657871381 0.660466618 0.663222291
[133] 0.665093001 0.667994196 0.685583396 0.696343322 0.700978960 0.703960373
[139] 0.703960373 0.716038229 0.716998780 0.724230170 0.728124826 0.729893208
[145] 0.731831794 0.746142882 0.755165279 0.756576282 0.760768153 0.761960615
[151] 0.766072270 0.768489589 0.769765868 0.771253489 0.783015103 0.784527921
[157] 0.787405976 0.789497798 0.795729042 0.798204468 0.800148196 0.801181766
[163] 0.808200272 0.809546998 0.812797858 0.830851908 0.834075515 0.837523834
[169] 0.839772491 0.842578556 0.846267013 0.850413634 0.855391738 0.858111930
[175] 0.861207498 0.869333620 0.877994525 0.897109398 0.913158528 0.916363109
[181] 0.920651139 0.921647685 0.927029962 0.929730614 0.931267599 0.934481950
[187] 0.935897581 0.940582070 0.943219473 0.949608066 0.951285946 0.953675498
[193] 0.955271104 0.956542241 0.967934135 0.970536572 0.979177422 0.981700670
[199] 0.994517966 0.996942998 1.000000000

$`RSV (maximum inequality) y-axis points`
  [1]  0.0000000 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
  [7] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [13] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [19] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [25] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [31] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [37] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [43] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [49] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [55] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [61] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [67] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [73] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [79] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [85] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [91] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
 [97] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[103] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[109] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[115] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[121] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[127] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[133] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[139] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[145] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[151] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[157] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[163] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[169] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[175] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[181] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[187] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[193] -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687 -0.8199687
[199] -0.8199687 -0.8199687  1.0000000

$`RSV (maximum inequality) x-axis points`
  [1] 0.000000000 0.002793724 0.009800403 0.012653261 0.016247102 0.017533666
  [7] 0.040996217 0.043388341 0.050347197 0.073820033 0.078678326 0.080427168
 [13] 0.081154780 0.082176523 0.084134136 0.106256646 0.111961335 0.127178981
 [19] 0.129607614 0.131203219 0.138652122 0.147510485 0.149741659 0.153199747
 [25] 0.159073613 0.183109513 0.185721720 0.187714813 0.196980433 0.211448355
 [31] 0.218071945 0.219338454 0.223744752 0.227368418 0.228701774 0.235806154
 [37] 0.237370907 0.240447963 0.243474111 0.247477781 0.249852935 0.255902661
 [43] 0.259575177 0.261253057 0.265895380 0.266720693 0.270309392 0.271289484
 [49] 0.273396732 0.275024219 0.278589264 0.280143219 0.282488034 0.286017084
 [55] 0.286969408 0.295621057 0.303374374 0.305671368 0.311587913 0.316100654
 [61] 0.316100654 0.318329772 0.319200850 0.320487413 0.323697650 0.326336596
 [67] 0.329958205 0.332165725 0.335123998 0.336136485 0.344075947 0.346393509
 [73] 0.348256506 0.351659574 0.353505602 0.359149614 0.364942233 0.366657651
 [79] 0.370253034 0.371816245 0.378410009 0.385897992 0.388570362 0.396310310
 [85] 0.396889829 0.399482495 0.409130691 0.412543014 0.414444063 0.417674869
 [91] 0.421182322 0.423012409 0.426342458 0.432337678 0.448784810 0.455867078
 [97] 0.465190804 0.466604378 0.466604378 0.476536420 0.483224286 0.485210180
[103] 0.485975844 0.490212967 0.493444801 0.496822158 0.499284728 0.500719899
[109] 0.509965980 0.519862026 0.522042807 0.525557459 0.553927154 0.554862509
[115] 0.556076569 0.563872051 0.565610608 0.568039241 0.582204805 0.583508337
[121] 0.603507659 0.607302557 0.609040600 0.610338476 0.614733462 0.634891161
[127] 0.636447173 0.637362473 0.650772658 0.657871381 0.660466618 0.663222291
[133] 0.665093001 0.667994196 0.685583396 0.696343322 0.700978960 0.703960373
[139] 0.703960373 0.716038229 0.716998780 0.724230170 0.728124826 0.729893208
[145] 0.731831794 0.746142882 0.755165279 0.756576282 0.760768153 0.761960615
[151] 0.766072270 0.768489589 0.769765868 0.771253489 0.783015103 0.784527921
[157] 0.787405976 0.789497798 0.795729042 0.798204468 0.800148196 0.801181766
[163] 0.808200272 0.809546998 0.812797858 0.830851908 0.834075515 0.837523834
[169] 0.839772491 0.842578556 0.846267013 0.850413634 0.855391738 0.858111930
[175] 0.861207498 0.869333620 0.877994525 0.897109398 0.913158528 0.916363109
[181] 0.920651139 0.921647685 0.927029962 0.929730614 0.931267599 0.934481950
[187] 0.935897581 0.940582070 0.943219473 0.949608066 0.951285946 0.953675498
[193] 0.955271104 0.956542241 0.967934135 0.970536572 0.979177422 0.981700670
[199] 0.994517966 0.996942998 1.000000000

$`RSV (maximum inequality) y-axis points`
  [1]  0.0000000 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
  [7] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [13] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [19] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [25] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [31] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [37] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [43] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [49] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [55] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [61] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [67] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [73] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [79] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [85] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [91] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
 [97] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[103] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[109] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[115] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[121] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[127] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[133] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[139] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[145] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[151] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[157] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[163] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[169] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[175] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[181] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[187] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[193] -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762 -0.4598762
[199] -0.4598762 -0.4598762  1.0000000

GiniWegNeg documentation built on May 2, 2019, 6:10 a.m.

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