wINEQ
News
wINEQ 1.2.1 (2024-08-03)
New features
- Package has been enriched with additional functions, that is:
- Quantilecomputes quantile derived for the given
probability taking into account weights
- LowerSumcomputes weighted sum of values lower then a
quantile derived for the given probability. It is a part of very
well-know inequality indices.
 
- Function Theil_T,Theil_LandEntropyhave an option to deal with zeroes in a data
vector.
Bugs fixed
- Functions PalmaandProp20_20incorrectly
determined quantiles.
Changes
- Function Ginihave an alternative computing algorithm:
slower but memory saving.
Future works
- new inequality measures
- vignette presenting an example workflow with our package
- enhanced dataset with tourists’ expenditures on trips
wINEQ 1.2.0 (2023-04-22)
New features
- Package has been enriched with new inequality measures for variables
on an ordinal scale, that is:
- Apouey index
- Abul Naga and Yalcin index
- Blair and Lacy index
 
- Functions ineq.weightedandineq.weighted.bootnow start with assessing if variable of
interest is numeric whether ordered factor. Then the inequality measures
appropriate for the given variable are returned.
- New function medianFreturns median for an ordered
factor.
Changes
- Improvement of handling with missing data or wrong data format.
- Allison and Foster index formula is not suitable for an ordered
factor. Hence, function AFconverts an ordered factor
variable to numeric variable and then performs calculation.
wINEQ 1.1.2 (2023-02-16)
Bugs fixed
- Function ineq.weighted.bootworked incorrectly for
calibrated bootstrap storing results in an object of wrong
dimensions.
Changes
- Function ineq.weighted.bootreturns named list to
access its items easily.
Future works
- more inequality measures for ordinal data
wINEQ 1.1.1 (2023-01-13)
Changes
- R Documentation is enriched with formula for each inequality
measure, more details and more references.
- Letifunction works for numerical and now also for
ordered factor variable.
- A warning was added for Kolmformula that the result is
scale dependent. Example provided.Kolmfunction is
enriched with some standardization methods.
New features
- Added new data Well_being- data from sample survey on
quality of life conducted on Polish-Ukrainian border. Modified due to
SDC.
- Added new data Tourism- data from sample survey on
trips conducted in Polish households. Modified due to SDC.
- Added examples for new datasets.
Bugs fixed
- Function ineq.weighted.bootdid not take a defaultboundsparameter forcalibfunction. Nowboundsparameter is added with default values.
- Letifunction incorrectly calculated a cumulative
distribution. Fixed.
- Letifunction standardized its results to unit interval
without option to change it. Additional parameter- normprovided.
wINEQ 1.0.1 (2022-02-11)
First CRAN Release