Weighting method based on geometric aggregation

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Description

Geometric aggregation lets to bypass the full compensability hypothesis using geometric mean.

Usage

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ci_mean_geom(x, indic_col, na.rm=TRUE)

Arguments

x

A data.frame containing simple indicators.

indic_col

Simple indicators column number.

na.rm

Remove NA values before processing; default is TRUE.

Value

An object of class "CI". This is a list containing the following elements:

ci_mean_geom_est

Composite indicator estimated values.

ci_method

Method used; for this function ci_method="mean_geom".

Author(s)

Vidoli F.

References

OECD, Handbook on constructing composite indicators: methodology and user guide, 2008.

See Also

ci_bod, ci_factor

Examples

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i1 <- seq(0.3, 0.5, len = 100) - rnorm (100, 0.2, 0.03)
i2 <- seq(0.3, 1, len = 100)   - rnorm (100, 0.2, 0.03)
Indic = data.frame(i1, i2)
CI = ci_mean_geom(Indic)

data(EU_NUTS1)
CI = ci_mean_geom(EU_NUTS1,c(2:3))