I have a sample of observations:

> yy
  [1]   0.00000000   2.39722222   4.35000000  -4.19722222   0.63611111
  [6]   1.08055556   5.90555556  -1.87222222   2.13333333  -1.18055556
 [11]   3.61666667   0.87777778   8.33888889   3.84166667   1.11111111
 [16]  -3.76111111 -11.67777778  -2.03055556   6.94444444 -11.76666667
 [21]   4.81111111  -7.25833333   1.42222222   5.37222222   4.68055556
 [26]   0.69166667  -5.36944444   5.35555556   4.26944444   6.14722222
 [31]   0.42500000   2.90555556  11.74166667   5.99444444   3.60555556
 [36]  -2.18333333   2.07777778  -9.79722222   7.26111111   4.50277778
 [41]   0.84722222   0.42222222   1.01388889  -0.04722222   5.03611111
 [46]   0.26666667   0.10555556   1.01666667   5.65833333   4.11111111
 [51]   0.23055556   8.53611111   4.42222222   4.93055556  13.41111111
 [56]   0.00000000   0.00000000  13.37500000   1.52500000   6.35833333

I want to make an empirical distribution plot. But, I wish that the y-axis
is the count instead of probability.

plot(ecdf(yy))

can only give the cumulative distribution on the y-axix.

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