Library: | stats |
See also: | median quantilecl meancl |
Quantlet: | mediancl | |
Description: | Computes the empirical medians of a classified data set. |
Usage: | med = mediancl(gr, fr) | |
Input: | ||
gr | m x n grid matrix, each column must be ordered ascendently | |
fr | (m-1) x n matrix of frequencies for each interval in each column | |
Output: | ||
med | 1 x n row vector of medians for each column |
library("stats") randomize(666) ; make four columns each with 15 random intervals gr = sort(normal(5,4)|5+normal(5,4)|10+normal(5,4),0) gr[,3] = 10 + gr[,3] fr = ceil(30*uniform(14)~20*uniform(14,2)~2*uniform(14)) mediancl(gr,fr)
Contents of med [1,] 5.7963 4.8599 15.313 3.9398