R/firm-clustering.R
grouping.classify.once.Rdclusters firms based on their cross-sectional wage distributions
grouping.classify.once(measures, k = 10, nstart = 1000, iter.max = 200, step = 20)
| measures | object created using grouping.getMeasures |
|---|---|
| k | number of groups |
| nstart | (default:1000) total number of starting values |
| iter.max | (default:100) max number of step for each repetition |
| step | step size in the repeating |
| sdata | cross sectional data, needs a column j (firm id) and w (log wage) |
| Nw | number of points to use for wage distribution |