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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