Description Usage Arguments Details Value Author(s) References Examples

Computes point and synthetic Zenga 2007 indexes on a variable *Y*.

1 | ```
zenga(x)
``` |

`x ` |
List containing: |

`zenga`

compute point and synthetic Zenga 2007 indexes on a variable `y`

, e.g. income, on a statistical population that could be partitioned in `g`

subpopultions and could be considered as sum of `c`

sources, e.g. income sources.

`index ` |
String denoting computed index. |

`decomposition ` |
Array containing the decompositions. |

`x ` |
Object usually of class |

Alberto Arcagni, Igor Valli

Zenga M. M.(2007). Inequality Curve and Inequality Index based on the Ratios between lower and upper means . Statistica and Applicazioni, V (1), 3-27.

Zenga M. (2015) Joint decomposition by subpopulations and sources of the point and synthetic Zenga(2007) Index I(Y). Statistica and Applicazioni, XIII (2), pp.163-195.

1 2 3 4 5 6 7 8 9 10 11 | ```
G <- c(1, 2, 3, 1, 2, 3, 1, 1, 2, 3, 3, 3) # vector denoting group membership
X1 <- c(0, 0, 0, 500, 700, 300, 750, 1000, 500, 500, 500, 1000) # vector of the first source
X2 <- c(0, 0, 0, 500, 300, 700, 750, 500, 700, 700, 1000,600) # vector of the second source
data <- data.frame(G, X1, X2) # no sample weights are considered
x <- dataProcessing( # data preparation
units = data[, c('X1', 'X2')],
groups = data[, 'G'],
)
decomposition <- zenga(x)
decomposition
``` |

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