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# Dataset B.1 from "Statistical analysis of circular data" by Fisher, N.I.
#
# Data      Arrival times on a 24-hour clock of 254 patients at an intensive
#           care unit, over a period of about 12 months.
# Type      Vectors.
# Source    Cox, D.R. & Lewis, P.A.W. (1966). The statistical Analysis of
#           Series of Events. London: Methuen & Co. Lts. (239)

11.00   17.00   23.15   10.00   12.00   08.45   16.00   10.00   15.30   20.20
04.00   12.00   02.20   12.00   05.30   07.30   12.00   16.00   16.00   01.30
11.05   16.00   19.00   17.45   20.20   21.00   12.00   12.00   18.00   22.00
22.00   22.05   12.45   19.30   18.45   16.15   16.00   20.30   23.40   20.20
18.45   16.30   22.00   08.45   19.15   15.30   12.00   18.15   14.00   13.00
23.00   19.15   22.00   10.15   12.30   18.15   21.05   21.00   00.30   01.45
12.20   14.45   22.30   12.30   13.15   17.30   11.20   17.30   23.00   10.55
13.30   11.00   18.30   11.05   04.00   07.30   20.00   21.30   06.30   17.30
20.45   22.00   20.15   21.00   17.30   19.50   02.00   01.45   03.40   04.15
23.55   03.15   19.00   21.45   21.30   00.45   02.30   15.30   21.00   08.45
14.30   17.00   03.30   15.45   17.30   14.00   02.00   11.30   17.30   17.10
21.20   03.00   13.30   23.00   20.10   23.15   20.00   16.00   18.30   21.00
21.10   17.00   13.25   15.05   14.10   19.15   14.05   22.40   09.30   17.30
12.30   17.30   14.30   16.00   14.10   14.00   15.30   04.30   11.50   11.55
15.20   15.40   11.15   02.15   11.15   21.30   03.00   00.40   10.00   09.45
23.45   10.00   07.50   13.30   12.30   13.45   19.30   00.15   07.45   15.20
18.40   19.50   23.55   01.45   10.50   07.50   15.30   18.00   23.05   19.30
19.00   16.10   10.00   02.30   22.00   21.50   19.10   11.45   15.45   16.30
18.30   10.05   20.00   13.35   16.45   02.15   20.30   14.00   21.15   18.45
14.05   14.15   01.15   01.45   18.00   14.15   15.15   16.15   10.20   13.35
17.15   19.50   22.45   07.25   17.00   12.30   23.15   10.30   13.45   02.30
12.00   15.45   17.00   17.00   01.30   20.15   12.30   15.40   03.30   18.45
13.30   16.40   18.00   20.00   11.15   16.40   13.55   21.00   07.45   22.30
16.40   23.10   19.15   11.00   00.15   14.40   15.45   12.45   17.00   18.00
21.45   16.00   12.00   02.30   12.55   20.20   10.30   15.50   17.30   20.00
02.00   01.45   01.45   02.05




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