[R] Gini coefficient sensitive to skewness of Lorenz curve?

Dear list, I have already posted to sci.stat.consult, however, I was hoping that there might be some experience in the R community on the following question: I am wondering whether anyone has experience with variants of (parametric) Gini coefficients (or alternatives) which allow for

[R] Fitting pareto distribution / plotting observed fitted dists

Some background: I have some data on structural dependencies in a base of code artifacts. The dependency structure is reflected in terms of relative node degrees, with each node representing some code unit (just as an example). This gives me real data of the following form (sorry for the

[R] How to deal with zero-inflated proportion data?

Dear List, In my previous posting (https://stat.ethz.ch/pipermail/r-help/2013-February/347593.html), I refer to playing around with distribution fitting for a particular sort of data (see dat1 in the previous posting): I collected absolute node degrees of some network structure and computed

[R] How to visualize relation between two sets of rel. frequencies?

I am looking at a data set containing two variables (x,y), each of which represents relative frequencies (rounded): data.frame(x = c(0.1,0.6,0.2,0.1), y = c(0.5,0.2,0.2,0.1)) xy 1 0.1 0.5 2 0.6 0.2 3 0.2 0.2 4 0.1 0.1 each of the rows reflects a relation between x and y, for example

Re: [R] How to visualize relation between two sets of rel. frequencies?

Rich, I see at as an application of a Likert plot. I would start with this Indeed, I went with an HH likert() for now. I am not so sure about the scaling, though. So for now, I stick with counts ... but I will revisit that with a fresh mind tomorrow. Many thanks for your suggestion!