[R] Counting number of rain
David L Carlson
dcarlson at tamu.edu
Thu Oct 1 16:45:47 CEST 2015
You should always reply to the list since other posters may have other suggestions. Assuming your data frame is called rain:
> str(rain)
'data.frame': 2192 obs. of 4 variables:
$ Year : int 1960 1960 1960 1960 1960 1960 1960 1960 1960 1960 ...
$ Month : int 1 1 1 1 1 1 1 1 1 1 ...
$ Day : int 1 2 3 4 5 6 7 8 9 10 ...
$ Amount: num 0.3 0 0 0 0 2.7 7.1 14 12.6 11.1 ...
> tbl <- xtabs(~Year+Month, rain, subset=Amount > 0.000001)
> tbl
Month
Year 1 2 3 4 5 6 7 8 9 10 11 12
1960 24 15 2 12 19 22 18 24 22 20 30 29
1961 26 9 10 18 18 11 18 14 24 28 30 31
1962 22 14 19 2 18 19 27 26 26 29 15 28
1963 27 17 15 4 9 23 16 24 19 28 30 22
1964 15 25 9 13 19 14 23 20 24 30 25 27
1965 13 21 12 10 21 24 22 21 28 23 28 31
If you want the month names:
> mnt <- c("Jan", "Feb", "Mar", "Apr", "May", "Jun",
+ "July", "Aug", "Sep", "Oct", "Nov", "Dec")
> dimnames(tbl)$Month <- mnt
> tbl
Month
Year Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec
1960 24 15 2 12 19 22 18 24 22 20 30 29
1961 26 9 10 18 18 11 18 14 24 28 30 31
1962 22 14 19 2 18 19 27 26 26 29 15 28
1963 27 17 15 4 9 23 16 24 19 28 30 22
1964 15 25 9 13 19 14 23 20 24 30 25 27
1965 13 21 12 10 21 24 22 21 28 23 28 31
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
From: smart hendsome [mailto:putra_autumn86 at yahoo.com]
Sent: Wednesday, September 30, 2015 9:24 PM
To: David L Carlson
Subject: Re: [R] Counting number of rain
Hi David,
Thanks for your reply, this is my data using dput;
structure(list(Year = c(1960L, 1960L, 1960L, 1960L, 1960L, 1960L,
1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L,
1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L,
1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L,
1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L,
1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L,
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1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L,
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1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L,
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1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
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1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
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1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
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1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
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1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
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1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1963L,
1963L, 1963L, 1963L, 1963L, 1963L, 1963L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L, 1964L,
1964L, 1964L, 1964L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L,
1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L, 1965L), Month = c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L), Day = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L,
19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,
28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,
31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,
13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L,
26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,
13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L,
26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L,
19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,
31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,
24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,
28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,
24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L,
19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,
31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,
13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L,
26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L,
19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,
28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L,
5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L,
19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,
31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,
24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,
13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L,
26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L, 27L, 28L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L,
17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,
27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L,
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 31L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
25L, 26L, 27L, 28L, 29L, 30L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,
28L, 29L, 30L, 31L), Amount = c(0.3, 0, 0, 0, 0, 2.7, 7.1, 14,
12.6, 11.1, 5.5, 1.2, 1.2, 1, 5.3, 2.5, 0, 0, 0.5, 14.6, 130.4,
66.5, 4.1, 3.7, 1.4, 2, 9.1, 8.8, 7.4, 2.5, 0, 0, 0, 10.1, 5.5,
6.8, 6.3, 1.5, 0, 0, 0, 0, 0, 2.5, 11.7, 6.2, 0.5, 0.7, 0.3,
2.5, 2.3, 1, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0.3,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 16.2, 18.6, 15.2, 48.3, 26.7, 2.9, 0.2, 0, 0,
0, 0, 0, 1.1, 1.4, 0.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5.1,
2.5, 5.2, 2.6, 0.3, 0.2, 1.7, 0.8, 0, 0, 0, 0, 6.1, 4.7, 2.8,
1, 0.5, 1.6, 2.1, 0.7, 0, 6.4, 3.5, 0.2, 0, 0, 0, 0, 0, 0, 0,
21.3, 10.7, 2, 4.2, 1.9, 2.8, 21.1, 9.9, 0.7, 2, 10.4, 5.3, 29.6,
14.7, 0, 0, 0, 4.4, 2.2, 0, 0, 0.8, 0.4, 0, 3.3, 3.1, 1.9, 0.6,
0, 4.7, 2.4, 0, 0, 0, 0, 5.9, 25.7, 11.4, 0, 0, 0, 0, 2.7, 1.3,
0, 0, 0, 0, 0, 0, 5.9, 28.1, 12.6, 68.2, 34.4, 0.6, 8.2, 4.3,
0.2, 17.9, 30.6, 21.1, 5.1, 0, 0, 0.1, 3.6, 8.7, 8.9, 6.7, 13.7,
10, 2.1, 11.8, 5.9, 0, 0, 0, 0, 0, 19.5, 31.1, 38.3, 20, 3.1,
5.1, 6.4, 12.4, 5.2, 2.5, 9, 4, 0.1, 0.1, 0.5, 17, 8.8, 0.6,
0.2, 0, 0, 0, 40.3, 20.1, 5.1, 14.3, 20.2, 13.2, 4.8, 1.4, 0.2,
0, 1, 0.5, 0, 0, 0, 3.7, 1.8, 15.4, 7.7, 0, 3.9, 8, 3, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 45.5, 22.8, 9.9, 5, 4.4, 2.7, 0.2,
0.8, 3.4, 10.3, 6.2, 7.5, 7.3, 20.3, 22, 28.9, 31.7, 39.2, 14.5,
10.5, 34.8, 43.7, 43.5, 144.9, 143, 68, 18.2, 1.8, 0.5, 16.1,
15.5, 3.8, 51.6, 25.8, 0.7, 1.5, 13.8, 27.2, 10.3, 1.5, 1.7,
5.9, 12, 4.6, 1.7, 6.4, 11.7, 16.5, 38.3, 35.8, 16.7, 3.5, 1.8,
35.9, 58.1, 40.9, 15, 14.5, 6.1, 0, 0, 3.3, 13.5, 6.9, 1.2, 2.7,
1.2, 15.2, 16, 12.5, 14.4, 9.3, 2.1, 2.5, 25.6, 96.8, 99.5, 39.9,
23.9, 9.1, 1.7, 3.8, 12, 6.4, 15.4, 8.8, 1.5, 10.7, 26.5, 20.9,
7.7, 1.7, 1.2, 0.8, 0.6, 1, 0.4, 0, 6.1, 3.5, 0.2, 0, 0, 0, 0.8,
3.7, 12.8, 8.9, 5.3, 1.8, 0, 0, 0, 0, 0, 0, 0, 4.4, 2.2, 0, 0,
5.1, 5.9, 10.6, 9.3, 7.6, 4.1, 0.7, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 22.1, 11.1, 0, 0, 23.1, 25.4, 12.8,
2.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 11.8, 13.9, 6,
19.9, 35.9, 13.2, 0, 0, 0, 0, 0, 0, 0, 0, 3.2, 1.6, 0.8, 16.6,
8.1, 11.3, 5.8, 10.9, 7.1, 0.8, 0, 0, 0, 0, 11, 37.3, 18.9, 14.4,
14.5, 4, 0, 0, 1, 0.5, 0.3, 3.7, 1.8, 0, 0, 0, 9.8, 4.9, 3, 1.5,
0, 0, 0, 0, 0, 0, 7.6, 3.8, 0, 0, 2.3, 1.2, 2.5, 1.3, 0.8, 0.4,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27.1, 44.3, 17.4, 1.7, 0.3,
0, 5.4, 2.7, 0, 2.5, 1.3, 0, 0, 4.4, 2.2, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0.5, 0.2, 0, 25, 12.5, 0, 7.4, 7.6, 1.9, 2.5, 1.3, 0,
0, 35.9, 37.1, 20.6, 7.5, 1, 0, 0.1, 0.2, 3.1, 1.5, 0, 0, 0,
0, 0, 12.7, 6.3, 0, 0, 0, 0.1, 4.8, 4.9, 2.1, 23.4, 11.5, 6.9,
31.2, 36.9, 11.5, 32, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.1,
0.1, 0, 0, 6.7, 17, 25.8, 9.5, 6.4, 9.6, 10.3, 5.5, 36.5, 17.9,
0.1, 0.3, 0.2, 14.2, 7.1, 0, 0, 21.5, 30.2, 10.1, 0.2, 0, 9.6,
4.8, 2, 13.3, 13.2, 3.5, 13.7, 12.9, 33.5, 15.2, 0, 5.7, 5.2,
1.2, 10.8, 51.9, 24.3, 1.8, 0.7, 4.9, 21.9, 17.5, 5, 4.4, 1.9,
5.9, 2.9, 0, 8.1, 4, 0, 0.3, 15.7, 71.2, 116, 62.9, 48.5, 28.3,
19.8, 35.7, 20.1, 9.8, 31.3, 32.6, 30.6, 28.4, 15.6, 4.8, 7.8,
44.3, 29.7, 18.2, 6.8, 3.9, 6.5, 31.9, 45.1, 37.3, 14.9, 11.5,
24.9, 25.3, 143.9, 101.9, 28.2, 21.7, 32.2, 13.8, 9.6, 28.9,
12.6, 9.6, 30.5, 12.9, 1.5, 1.9, 0.9, 25.4, 46.4, 28.2, 22.2,
10.8, 7.3, 3, 34.2, 84.8, 71, 28.7, 16.9, 62.1, 104.4, 89.8,
42.9, 9.3, 3.1, 3.5, 2.1, 0.8, 0.2, 0, 0, 0, 5.1, 6.1, 5.8, 4,
1, 4.4, 4.2, 6.1, 7.1, 2.3, 1.5, 2.5, 0.9, 0, 0, 0, 0, 0, 19.3,
10.6, 0.6, 0.1, 0, 1.5, 3.3, 1.3, 3, 1.5, 0, 0.1, 0.1, 0, 0,
0, 0, 0, 0, 0, 0, 0.3, 0.3, 0.5, 0.2, 0, 0, 0, 0.3, 1.6, 0.7,
0, 0, 6.6, 13.6, 6.6, 4.1, 12.7, 31.4, 13.1, 0.1, 0, 0, 0, 0.5,
0.4, 0.1, 0, 5.5, 2.8, 0, 0, 0, 0, 0, 0, 1.1, 25.4, 15.3, 16.6,
7.6, 0, 0, 0.5, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0.3, 0, 5.4, 2.7,
0, 0, 0, 0, 0, 0.3, 0.2, 0, 0, 0, 0, 0.5, 0.2, 32.7, 16.3, 0,
12.9, 6.4, 0, 7.7, 4.2, 6, 2.9, 5.1, 2.7, 0.1, 0, 3.5, 1.8, 0,
0, 8.9, 4.5, 0, 0, 0, 3.9, 1.9, 0, 0, 49.4, 25.7, 0.5, 0, 0,
3.9, 1.9, 0.5, 0.2, 0, 31.6, 20.5, 14.5, 6.1, 0.7, 0.3, 0, 29.9,
39, 12, 7.1, 3.5, 18.9, 9.9, 9.5, 4.6, 0, 1.3, 8.9, 4.1, 4.5,
7.3, 2.5, 0, 0, 0, 18.9, 16.9, 19.8, 8, 3.3, 1.7, 8.4, 13.3,
19.2, 7.3, 2, 6.2, 2.6, 0, 0, 0, 6.6, 3.3, 0.5, 0.2, 0, 0.8,
34.2, 28.9, 28.3, 23.3, 6.1, 0, 1, 0.5, 12.7, 9.2, 6.2, 20, 15.4,
18.8, 28.7, 25.7, 14.2, 3.3, 30.1, 17.7, 23.3, 32.3, 18.7, 5.8,
0.9, 13.9, 11.7, 2.4, 64.7, 54.3, 11.8, 1.1, 8.7, 4.2, 2.3, 31.1,
16.6, 1.2, 5, 2.4, 0, 0, 0, 0, 18.9, 9.5, 10.1, 26.5, 10.9, 7,
3.6, 26.8, 13.4, 7.4, 5.4, 0.8, 2.3, 2.5, 0.7, 0.3, 0.8, 0.7,
0.3, 0.1, 0, 5.2, 4.3, 4, 17.3, 14.6, 24, 27, 22.6, 13, 29.8,
30.8, 8.7, 25.7, 29.9, 36.3, 14.5, 0.3, 0, 0, 0, 0, 37.7, 29.3,
13, 3.9, 1.1, 37.1, 18.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
6.9, 3.5, 26.1, 101, 51.1, 5.3, 8, 25, 109.7, 104.5, 90.3, 50.7,
10.4, 0.5, 0.4, 1.5, 5.1, 4.5, 1.8, 0.3, 0, 0.8, 0.9, 55.8, 44.3,
15.3, 10.3, 5.2, 8.3, 4.5, 4.4, 2, 0.3, 0.2, 0, 0, 25, 13.3,
1.7, 33.3, 74.1, 29.3, 6.1, 15.6, 13.7, 4.2, 0.2, 0, 0, 0.1,
0.1, 1, 0.8, 8.6, 11.8, 3.9, 0.2, 0.1, 10.3, 5.1, 0, 0.1, 0.1,
0, 13.3, 9.9, 7, 3.7, 2, 0.7, 0, 0, 0, 0.3, 6.9, 3.5, 0.1, 0,
0, 0, 1.7, 2.6, 0.9, 0, 0, 0.1, 0.1, 1.5, 0.7, 0, 0, 0, 1.1,
3.8, 4.9, 2.3, 0.3, 2.7, 2.7, 0.7, 0, 0, 0.1, 0.1, 0.3, 0.2,
0, 0, 0.5, 2, 1, 0.7, 0.3, 0, 1.8, 0.9, 1, 0.5, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 16.2, 7.7, 0.1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 0.2,
32, 16.8, 0.4, 0, 0.1, 0.1, 0, 6.7, 8.6, 2.6, 0, 6.2, 9, 9.9,
3.5, 0, 3, 1.5, 0, 0, 0, 6.4, 3.2, 0, 0.5, 4.4, 2.1, 0, 2.7,
9.7, 22.8, 10.3, 5.7, 2.6, 8.6, 23.8, 14.5, 2.4, 1.7, 0.8, 0,
0, 0.3, 0.3, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 4.4, 3.5, 0.7, 0, 0,
0, 0, 0, 3.2, 1.6, 3.5, 1.8, 0.5, 12.2, 6.8, 1.9, 3.4, 7.7, 3.2,
0, 6.9, 3.5, 44.7, 22.3, 0, 5.2, 2.6, 4.2, 6.1, 2, 0, 0, 0.5,
0.2, 4.2, 2.1, 0, 4.9, 5, 2.4, 0.6, 0, 0, 10.5, 9.4, 6.6, 2.7,
11.7, 20.4, 9.5, 39.2, 24.6, 5.8, 10.6, 17.4, 6.4, 0, 0, 0, 0,
3.9, 3.7, 0.9, 0, 0, 0, 0, 9.8, 4.9, 1.5, 0.7, 0, 0, 0, 5.2,
2.9, 0.2, 0.5, 0.2, 0.1, 0.7, 0.3, 3.9, 1.9, 4.2, 2.1, 0.7, 0.3,
1, 6.7, 4.2, 35.1, 17.3, 7.9, 6.8, 1.4, 20.1, 23.6, 20.1, 6.7,
0, 0.7, 2.5, 1.1, 2.3, 1.5, 0.2, 0, 0, 1.1, 0.7, 0.1, 4.2, 2.1,
0.5, 0.2, 3.5, 19.8, 36.2, 58.5, 34.4, 6, 9.3, 16.1, 5.7, 4.4,
4.2, 47.3, 63.2, 32.9, 10.1, 3.3, 0.7, 11.7, 49.3, 48.8, 27.5,
32.5, 42.9, 37.9, 14.4, 18, 85.1, 42.3, 1.9, 0, 0, 0, 0, 2.5,
8.9, 3.8, 0, 0, 0, 0, 15.2, 16.9, 20.8, 12.8, 6.8, 2.5, 1, 11.7,
10.2, 2.3, 0, 0.3, 1.5, 1.1, 1.4, 2.2, 1.6, 0.4, 7.3, 12, 8.9,
4.6, 1.2, 0.1, 0, 0, 0, 0.5, 9.4, 4.6, 0, 35.5, 17.8, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 21.3, 15.4, 3.2, 4.9, 9.9, 3.8, 0,
0, 1.1, 30, 19.8, 6.2, 5.8, 15.9, 30.9, 25, 9.8, 1.7, 0, 0.7,
2.9, 2.6, 2.7, 5.2, 3.8, 1.6, 4.4, 2, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1.1, 1.9, 0.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.5, 118.1,
100.7, 21.1, 0, 0, 0.1, 0.1, 0, 0, 0, 0, 0, 0, 0, 22, 11.5, 0.2,
0.3, 0.2, 1.7, 0.8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.5, 1.7, 0.8,
0, 0, 0, 1.3, 32.3, 16.6, 0.4, 0, 0, 0, 1.3, 0.7, 0, 5.2, 2.6,
0, 6.7, 10.8, 3.7, 0, 17.4, 8.7, 0, 0, 0.8, 1.4, 0.5, 0, 0, 0,
10.5, 5.2, 12.9, 7.4, 0.5, 0, 9.6, 4.8, 0, 2, 2.1, 5, 2.2, 0,
0, 0, 0, 0, 0, 0, 0, 14.3, 7.2, 0, 0, 0, 0, 0.5, 0.2, 1.7, 0.8,
0, 8.3, 4.1, 0, 0, 4.4, 2.2, 0, 0, 0, 2.5, 1.3, 5.2, 3.6, 0.5,
15.4, 8.2, 4.1, 2.3, 0.2, 0, 0, 0, 0, 8.9, 4.5, 1, 0.5, 3.3,
1.7, 2.7, 12.5, 5.6, 23.3, 11.7, 0, 0, 0, 0.1, 0.1, 1.1, 0.6,
6.6, 3.3, 21.1, 37.3, 13.4, 24.3, 12.2, 2.5, 1.3, 23.7, 16.9,
3.5, 0.5, 0, 0, 0, 0, 0, 0, 9.3, 23.4, 9.4, 0, 0, 0, 0.5, 0.2,
0, 0, 8.5, 4.2, 6.1, 19.9, 12.3, 9, 11.3, 4, 10.2, 5.1, 6.2,
4.2, 0.6, 0.1, 11.5, 5.7, 0, 13.2, 19.5, 8.1, 0.8, 0, 1, 0.5,
0, 0, 1.1, 0.6, 1.3, 0.7, 0, 6.1, 3.5, 0.2, 3.7, 1.8, 19.5, 30,
10.1, 14.7, 7.3, 10.7, 5.3, 7.6, 4.6, 5.5, 2.9, 2.4, 7.8, 5.9,
1.3, 2.7, 2.5, 1.2, 5.7, 32.3, 14.8, 0, 0, 0, 0, 0, 17.3, 8.6,
1, 5.2, 3.8, 0.7, 11, 8.7, 2.4, 1.1, 17.9, 40.6, 16.2, 33.8,
38.8, 28.7, 10.9, 12.3, 6.3, 2.5, 3.4, 1.2, 0.7, 5.2, 2.4, 3.9,
6.7, 9.1, 3.5, 34.9, 19.4, 3.5, 1.7, 0.2, 0, 9.1, 5, 63.4, 31.6,
21.5, 62.7, 31, 4.2, 3.4, 15.3, 11.7, 23.5, 13.1, 1.4, 4.3, 5.1,
3.7, 1.1, 0, 0, 0, 0, 0, 2.2, 1.1, 0, 0, 0, 0, 2.3, 1.2, 0, 0.1,
0.4, 0.2, 2.3, 1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0.7, 0,
0.1, 0.4, 10.3, 5.4, 0.6, 0.2, 0.5, 0.7, 0.2, 2.9, 4.6, 1.6,
2.2, 1.2, 0.1, 0, 0, 0, 1.7, 0.8, 0, 0, 0, 0, 2, 58.5, 28.8,
0.3, 0.2, 1.7, 0.8, 0, 1.3, 0.7, 0, 0.1, 2.3, 1.1, 0, 0, 0, 8.9,
4.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10.7, 5.3, 0, 0, 1.7, 0.8,
0, 4.4, 2.2, 0, 0, 46.7, 23.4, 0, 0, 0, 2.3, 12.5, 31.9, 14.1,
2.7, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5.4, 4,
0.8, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8, 0.4, 1.1, 1.6, 0.5,
4.9, 2.4, 0.3, 2.8, 3.5, 7.7, 20.4, 8.5, 15.2, 7.6, 17.4, 8.7,
0, 7.6, 3.8, 2.3, 4.4, 8.3, 8.1, 2.4, 0, 5.9, 8, 3.2, 18.6, 9.1,
0, 0, 18.6, 9.3, 0, 0, 0, 17.7, 12.7, 16.5, 31.3, 12, 2.7, 11.1,
4.9, 16.9, 8.4, 0, 8.8, 6.2, 6.4, 6.1, 1.7, 1, 7.4, 4.5, 0.5,
0, 3.2, 3.6, 3.2, 1.1, 0, 2, 1, 0, 0, 0, 0, 0, 0, 2.5, 21.5,
11.9, 1, 0.1, 9.1, 5.6, 1.2, 11, 18.9, 6.8, 0, 0, 0, 0, 0, 0,
0, 0, 7.4, 5, 6.9, 31.4, 14.1, 8.4, 4.5, 4.6, 2.2, 0, 1, 31.4,
34.6, 9.6, 0, 1.1, 2, 0.7, 9.5, 5.2, 0.6, 10, 5.7, 5.3, 5.4,
8.4, 3.5, 1, 1.6, 0.6, 2.2, 1.1, 0.5, 10, 10.8, 36.9, 17, 0,
36.5, 18.3, 1.8, 0.9, 1, 0.5, 4.7, 4, 1.2, 0.2, 0, 0, 0, 5.5,
30.7, 14, 0, 0, 0, 0.3, 0.2, 54.5, 27.2, 0, 0, 0, 0.5, 28.8,
44.1, 80.8, 37.8, 2.4, 3, 1.5, 0.1, 23.2, 11.6, 0.1, 0.1, 11,
25.1, 11.5, 0.8, 0, 3.5, 2.4, 3.5, 1.6, 0, 14, 9.7, 18.6, 10.4,
0.9, 2, 20.1, 16.3, 9.4, 9.1, 17.7, 22.7, 15.1, 8.2, 11.5, 9.5,
14.9, 18.9, 74.4, 124.4, 114.6, 241.6, 132.2, 114.4, 91.5, 22.4,
71.2, 78.2, 45.8, 33.3, 41.7, 16, 0.6, 5.6, 3.5, 31.7, 54.2,
77.8, 69.5, 37.7, 15.5, 19.6, 18.6, 30.1, 22.2, 18.6, 11.9, 9.1,
18.5, 23, 15.1, 4.7, 1, 2.4)), .Names = c("Year", "Month", "Day",
"Amount"), class = "data.frame", row.names = c(NA, -2192L))
i want the counting number of rain as follows:
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1960 x
1961
1962
1963
1964
1965
x = number of rain for > 0.000001
Thanks for your help.
On Tuesday, September 8, 2015 10:27 PM, David L Carlson <dcarlson at tamu.edu> wrote:
Sorry we don't do homework and you didn't follow the list guidelines
1. NO HTML - look at the mess below to see why.
2. Use dput() to include your data in the list.
Your question is pretty simple, once you have spent a little time reading about R:
https://cran.r-project.org/manuals.html - Official manuals
https://cran.r-project.org/other-docs.html - Contributed tutorials
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of smart hendsome via R-help
Sent: Tuesday, September 8, 2015 1:59 AM
To: r-help at r-project.org
Subject: [R] Counting number of rain
Hello R-users,
I want to ask how to count the number of daily rain data. My data as below:
Year Month Day Amount 1901 1 1 0 1901 1 2 3 1901 1 3 0 1901 1 4 0.5 1901 1 5 0 1901 1 6 0 1901 1 7 0.3 1901 1 8 0 1901 1 9 0 1901 1 10 0 1901 1 11 0.5 1901 1 12 1.8 1901 1 13 0 1901 1 14 0 1901 1 15 2.5 1901 1 16 0 1901 1 17 0 1901 1 18 0 1901 1 19 0 1901 1 20 0 1901 1 21 0 1901 1 22 0 1901 1 23 0 1901 1 24 0 1901 1 25 0 1901 1 26 16.5 1901 1 27 0.3 1901 1 28 0 1901 1 29 0 1901 1 30 0 1901 1 31 0 1901 2 1 0 1901 2 2 0 1901 2 3 0 1901 2 4 0 1901 2 5 0 1901 2 6 0 1901 2 7 0 1901 2 8 0.3 1901 2 9 0 1901 2 10 0 1901 2 11 0 1901 2 12 1 1901 2 13 0.3 1901 2 14 0 1901 2 15 0 1901 2 16 0 1901 2 17 0 1901 2 18 0 1901 2 19 0 1901 2 20 0 1901 2 21 0 1901 2 22 0 1901 2 23 0.3 1901 2 24 0 1901 2 25 0 1901 2 26 0.3 1901 2 27 0 1901 2 28 0 1901 3 1 0 1901 3 2 0.8 1901 3 3 2.3 1901 3 4 0 1901 3 5 0 1901 3 6 0 1901 3 7 0 1901 3 8 0 1901 3 9 0 1901 3 10 2 1901 3 11 0 1901 3 12 0 1901 3 13 0 1901 3 14 0 1901 3 15 0 1901 3 16 0 1901 3 17 0 1901 3 18 0 1901 3 19 0 1901 3 20 0 1901 3 21 0 1901 3 22 1.5 1901 3 23 1.3 1901 3 24 0 1901 3 25 0 1901 3 26 0 1901 3 27 0 1901 3 28 0.3 1901 3 29 0.3 1901 3 30 4.6 1901 3 31 0 1901 4 1 0 1901 4 2 4.6 1901 4 3 30.7 1901 4 4 0 1901 4 5 0 1901 4 6 0 1901 4 7 0 1901 4 8 0 1901 4 9 0 1901 4 10 0 1901 4 11 0 1901 4 12 0 1901 4 13 0 1901 4 14 0 1901 4 15 0.3 1901 4 16 1.3 1901 4 17 0 1901 4 18 0 1901 4 19 0.3 1901 4 20 1 1901 4 21 9.4 1901 4 22 0.5 1901 4 23 0.3 1901 4 24 0 1901 4 25 0 1901 4 26 0 1901 4 27 0 1901 4 28 0 1901 4 29 0 1901 4 30 0 1901 5 1 0 1901 5 2 0 1901 5 3 0 1901 5 4 0 1901 5 5 0 1901 5 6 0 1901 5 7 0 1901 5 8 0.5 1901 5 9 2.3 1901 5 10 0.3 1901 5 11 0 1901 5 12 0 1901 5 13 0 1901 5 14 0 1901 5 15 0 1901 5 16 0 1901 5 17 0 1901 5 18 0 1901 5 19 0 1901 5 20 0 1901 5 21 0.5 1901 5 22 0 1901 5 23 0 1901 5 24 0 1901 5 25 0 1901 5 26 4.8 1901 5 27 10.9 1901 5 28 3.6 1901 5 29 0 1901 5 30 0 1901 5 31 5.1 1901 6 1 0.5 1901 6 2 0 1901 6 3 2 1901 6 4 0 1901 6 5 10.2 1901 6 6 33.3 1901 6 7 0.3 1901 6 8 0 1901 6 9 0 1901 6 10 0.5 1901 6 11 0.5 1901 6 12 0.3 1901 6 13 2.8 1901 6 14 5.6 1901 6 15 0.3 1901 6 16 6.6 1901 6 17 14.2 1901 6 18 4.8 1901 6 19 8.4 1901 6 20 1.8 1901 6 21 1.8 1901 6 22 0.3 1901 6 23 8.6 1901 6 24 0 1901 6 25 0 1901 6 26 0 1901 6 27 0 1901 6 28 0 1901 6 29 0 1901 6 30 0 1901 7 1 0 1901 7 2 0 1901 7 3 0 1901 7 4 0 1901 7 5 1 1901 7 6 0.5 1901 7 7 0.3 1901 7 8 0.3 1901 7 9 6.1 1901 7 10 0.3 1901 7 11 1.5 1901 7 12 0 1901 7 13 1.5 1901 7 14 0.3 1901 7 15 3.3 1901 7 16 2.3 1901 7 17 0.5 1901 7 18 0 1901 7 19 0 1901 7 20 0 1901 7 21 1.8 1901 7 22 0 1901 7 23 1 1901 7 24 0.3 1901 7 25 0.3 1901 7 26 1.3 1901 7 27 17 1901 7 28 6.6 1901 7 29 6.1 1901 7 30 0.5 1901 7 31 0.3 1901 8 1 0 1901 8 2 0 1901 8 3 0 1901 8 4 0 1901 8 5 0 1901 8 6 3.3 1901 8 7 4.1 1901 8 8 0.3 1901 8 9 0 1901 8 10 0 1901 8 11 0 1901 8 12 0 1901 8 13 0 1901 8 14 0 1901 8 15 0 1901 8 16 0 1901 8 17 0.5 1901 8 18 0 1901 8 19 0 1901 8 20 0 1901 8 21 0 1901 8 22 0 1901 8 23 0.3 1901 8 24 1 1901 8 25 0 1901 8 26 0 1901 8 27 10.2 1901 8 28 1.5 1901 8 29 0.5 1901 8 30 1.3 1901 8 31 0 1901 9 1 0 1901 9 2 3 1901 9 3 1 1901 9 4 0.5 1901 9 5 0.3 1901 9 6 0 1901 9 7 0 1901 9 8 2.3 1901 9 9 0.3 1901 9 10 0 1901 9 11 0 1901 9 12 0 1901 9 13 0 1901 9 14 0 1901 9 15 0 1901 9 16 0 1901 9 17 0 1901 9 18 1.8 1901 9 19 8.1 1901 9 20 0.3 1901 9 21 5.8 1901 9 22 4.1 1901 9 23 0.3 1901 9 24 1.8 1901 9 25 0 1901 9 26 0 1901 9 27 0 1901 9 28 0 1901 9 29 1.8 1901 9 30 0.8 1901 10 1 0 1901 10 2 0 1901 10 3 0 1901 10 4 0 1901 10 5 0.3 1901 10 6 0 1901 10 7 0 1901 10 8 0 1901 10 9 0 1901 10 10 0 1901 10 11 0.3 1901 10 12 3.8 1901 10 13 0.4 1901 10 14 9 1901 10 15 2 1901 10 16 1 1901 10 17 0 1901 10 18 0 1901 10 19 0 1901 10 20 0.3 1901 10 21 0 1901 10 22 0 1901 10 23 0 1901 10 24 0 1901 10 25 0 1901 10 26 0 1901 10 27 14.5 1901 10 28 6.4 1901 10 29 0.8 1901 10 30 0 1901 10 31 0 1901 11 1 0 1901 11 2 0 1901 11 3 0 1901 11 4 0 1901 11 5 0 1901 11 6 0 1901 11 7 0 1901 11 8 0 1901 11 9 0 1901 11 10 0 1901 11 11 0 1901 11 12 5.1 1901 11 13 0.3 1901 11 14 5.8 1901 11 15 0 1901 11 16 0 1901 11 17 1 1901 11 18 0.5 1901 11 19 0 1901 11 20 0 1901 11 21 0 1901 11 22 0 1901 11 23 0 1901 11 24 0 1901 11 25 0.3 1901 11 26 0 1901 11 27 0 1901 11 28 0 1901 11 29 0 1901 11 30 3.3 1901 12 1 0 1901 12 2 0 1901 12 3 0 1901 12 4 0 1901 12 5 0 1901 12 6 0 1901 12 7 0 1901 12 8 0 1901 12 9 0 1901 12 10 0 1901 12 11 0 1901 12 12 0 1901 12 13 0 1901 12 14 0 1901 12 15 0 1901 12 16 0 1901 12 17 0 1901 12 18 0 1901 12 19 0 1901 12 20 0 1901 12 21 6.1 1901 12 22 5.6 1901 12 23 0 1901 12 24 0 1901 12 25 0 1901 12 26 0 1901 12 27 0 1901 12 28 0 1901 12 29 0 1901 12 30 0 1901 12 31 9.9 1902 1 1 0 1902 1 2 0 1902 1 3 0 1902 1 4 4.1 1902 1 5 0 1902 1 6 0 1902 1 7 0 1902 1 8 0 1902 1 9 2.5 1902 1 10 0 1902 1 11 0 1902 1 12 0 1902 1 13 0.3 1902 1 14 0 1902 1 15 0 1902 1 16 0 1902 1 17 0 1902 1 18 0 1902 1 19 0 1902 1 20 0.3 1902 1 21 0.8 1902 1 22 1.8 1902 1 23 0 1902 1 24 0 1902 1 25 0 1902 1 26 2.8 1902 1 27 0 1902 1 28 0.3 1902 1 29 0 1902 1 30 0 1902 1 31 0 1902 2 1 2.8 1902 2 2 0 1902 2 3 0.3 1902 2 4 0 1902 2 5 0 1902 2 6 0 1902 2 7 0 1902 2 8 0 1902 2 9 0 1902 2 10 0 1902 2 11 0 1902 2 12 5.6 1902 2 13 0 1902 2 14 0 1902 2 15 0 1902 2 16 0 1902 2 17 0 1902 2 18 0 1902 2 19 0 1902 2 20 0.8 1902 2 21 0 1902 2 22 0 1902 2 23 0 1902 2 24 2.8 1902 2 25 2.8 1902 2 26 0 1902 2 27 0 1902 2 28 0 1902 3 1 0 1902 3 2 0 1902 3 3 0 1902 3 4 0 1902 3 5 0 1902 3 6 0 1902 3 7 0 1902 3 8 0 1902 3 9 0 1902 3 10 0 1902 3 11 0 1902 3 12 0 1902 3 13 0 1902 3 14 0 1902 3 15 0 1902 3 16 0 1902 3 17 0 1902 3 18 0 1902 3 19 0 1902 3 20 0 1902 3 21 0 1902 3 22 0 1902 3 23 0 1902 3 24 0 1902 3 25 4.8 1902 3 26 11.9 1902 3 27 3.8 1902 3 28 1.8 1902 3 29 0 1902 3 30 0 1902 3 31 0 1902 4 1 0 1902 4 2 0 1902 4 3 0 1902 4 4 0 1902 4 5 0 1902 4 6 0 1902 4 7 0 1902 4 8 0 1902 4 9 2.5 1902 4 10 0 1902 4 11 0 1902 4 12 0 1902 4 13 0 1902 4 14 0 1902 4 15 0 1902 4 16 0 1902 4 17 0 1902 4 18 0 1902 4 19 0 1902 4 20 0 1902 4 21 0 1902 4 22 0 1902 4 23 0 1902 4 24 0 1902 4 25 0 1902 4 26 1.3 1902 4 27 8.1 1902 4 28 0 1902 4 29 0 1902 4 30 0 1902 5 1 0 1902 5 2 0 1902 5 3 0 1902 5 4 0 1902 5 5 0 1902 5 6 3 1902 5 7 3.8 1902 5 8 4.3 1902 5 9 2.8 1902 5 10 3 1902 5 11 0 1902 5 12 0.5 1902 5 13 2 1902 5 14 0 1902 5 15 0.3 1902 5 16 0.8 1902 5 17 0.3 1902 5 18 0 1902 5 19 0 1902 5 20 0 1902 5 21 0 1902 5 22 0 1902 5 23 0 1902 5 24 0 1902 5 25 0 1902 5 26 0 1902 5 27 0 1902 5 28 0 1902 5 29 0.3 1902 5 30 1.8 1902 5 31 0 1902 6 1 5.3 1902 6 2 0 1902 6 3 0 1902 6 4 0.3 1902 6 5 0 1902 6 6 0 1902 6 7 4.6 1902 6 8 5.1 1902 6 9 12.4 1902 6 10 5.3 1902 6 11 0.3 1902 6 12 0 1902 6 13 0 1902 6 14 3 1902 6 15 4.1 1902 6 16 7.4 1902 6 17 5.1 1902 6 18 8.1 1902 6 19 18.3 1902 6 20 3.3 1902 6 21 16.5 1902 6 22 0.5 1902 6 23 0 1902 6 24 0 1902 6 25 0 1902 6 26 0 1902 6 27 0 1902 6 28 0 1902 6 29 0 1902 6 30 0 1902 7 1 0 1902 7 2 0 1902 7 3 0 1902 7 4 0 1902 7 5 0 1902 7 6 1.8 1902 7 7 0 1902 7 8 0 1902 7 9 0 1902 7 10 1 1902 7 11 0.3 1902 7 12 0 1902 7 13 0.8 1902 7 14 0 1902 7 15 0 1902 7 16 0 1902 7 17 0.8 1902 7 18 0 1902 7 19 1.3 1902 7 20 0.5 1902 7 21 0 1902 7 22 1.5 1902 7 23 1.3 1902 7 24 2.5 1902 7 25 9.4 1902 7 26 0.3 1902 7 27 0 1902 7 28 0 1902 7 29 0 1902 7 30 5.1 1902 7 31 2 1902 8 1 0 1902 8 2 3 1902 8 3 1.8 1902 8 4 0 1902 8 5 0.5 1902 8 6 3.3 1902 8 7 3.8 1902 8 8 0 1902 8 9 0 1902 8 10 0 1902 8 11 0.3 1902 8 12 0 1902 8 13 0 1902 8 14 0 1902 8 15 0 1902 8 16 0 1902 8 17 0 1902 8 18 0 1902 8 19 0 1902 8 20 0 1902 8 21 0 1902 8 22 0 1902 8 23 1.5 1902 8 24 2.8 1902 8 25 0 1902 8 26 0 1902 8 27 5.8 1902 8 28 0 1902 8 29 1.5 1902 8 30 0 1902 8 31 0 1902 9 1 0 1902 9 2 2.5 1902 9 3 0.8 1902 9 4 0.8 1902 9 5 0 1902 9 6 0 1902 9 7 0 1902 9 8 0 1902 9 9 0 1902 9 10 0 1902 9 11 9.4 1902 9 12 0.5 1902 9 13 6.6 1902 9 14 0.5 1902 9 15 2.8 1902 9 16 4.1 1902 9 17 6.9 1902 9 18 0.5 1902 9 19 0 1902 9 20 0 1902 9 21 0 1902 9 22 0 1902 9 23 0 1902 9 24 0 1902 9 25 0 1902 9 26 1.8 1902 9 27 0.3 1902 9 28 0.3 1902 9 29 0 1902 9 30 0 1902 10 1 0.8 1902 10 2 1.5 1902 10 3 2 1902 10 4 0 1902 10 5 0 1902 10 6 0.3 1902 10 7 0.5 1902 10 8 1 1902 10 9 0 1902 10 10 1 1902 10 11 10.9 1902 10 12 0.3 1902 10 13 0 1902 10 14 0 1902 10 15 0 1902 10 16 0 1902 10 17 0 1902 10 18 2.3 1902 10 19 0.3 1902 10 20 0 1902 10 21 0 1902 10 22 1.8 1902 10 23 0.5 1902 10 24 1.5 1902 10 25 0 1902 10 26 0 1902 10 27 1 1902 10 28 5.3 1902 10 29 0 1902 10 30 0 1902 10 31 0 1902 11 1 0 1902 11 2 0 1902 11 3 0 1902 11 4 0 1902 11 5 0 1902 11 6 0.8 1902 11 7 0.3 1902 11 8 0.5 1902 11 9 1 1902 11 10 0 1902 11 11 0 1902 11 12 0 1902 11 13 7.1 1902 11 14 0.3 1902 11 15 0 1902 11 16 0 1902 11 17 0 1902 11 18 0 1902 11 19 0.3 1902 11 20 1 1902 11 21 0 1902 11 22 0 1902 11 23 0 1902 11 24 0 1902 11 25 0 1902 11 26 0 1902 11 27 0 1902 11 28 0 1902 11 29 0 1902 11 30 0 1902 12 1 0 1902 12 2 0 1902 12 3 0 1902 12 4 0 1902 12 5 1.8 1902 12 6 6.9 1902 12 7 0 1902 12 8 0 1902 12 9 0 1902 12 10 0.5 1902 12 11 4.8 1902 12 12 0 1902 12 13 0 1902 12 14 0 1902 12 15 0 1902 12 16 0.8 1902 12 17 15.5 1902 12 18 11.7 1902 12 19 9.4 1902 12 20 0.3 1902 12 21 0 1902 12 22 0 1902 12 23 0 1902 12 24 0.3 1902 12 25 0.3 1902 12 26 0 1902 12 27 0 1902 12 28 0 1902 12 29 0 1902 12 30 0 1902 12 31 0 1903 1 1 0 1903 1 2 0 1903 1 3 1.3 1903 1 4 2 1903 1 5 0 1903 1 6 3.6 1903 1 7 0 1903 1 8 0 1903 1 9 0 1903 1 10 0 1903 1 11 0 1903 1 12 0 1903 1 13 0 1903 1 14 0 1903 1 15 0 1903 1 16 0 1903 1 17 0 1903 1 18 0 1903 1 19 0 1903 1 20 0 1903 1 21 10.2 1903 1 22 3 1903 1 23 0 1903 1 24 0 1903 1 25 0 1903 1 26 0 1903 1 27 0 1903 1 28 0 1903 1 29 0 1903 1 30 0 1903 1 31 0 1903 2 1 0 1903 2 2 0.3 1903 2 3 0 1903 2 4 0 1903 2 5 0 1903 2 6 0 1903 2 7 0 1903 2 8 0 1903 2 9 0 1903 2 10 0 1903 2 11 0 1903 2 12 0 1903 2 13 0 1903 2 14 10.2 1903 2 15 13.5 1903 2 16 7.9 1903 2 17 0.5 1903 2 18 0 1903 2 19 0 1903 2 20 0 1903 2 21 0 1903 2 22 0 1903 2 23 0 1903 2 24 0 1903 2 25 0 1903 2 26 0 1903 2 27 0 1903 2 28 0 1903 3 1 0 1903 3 2 0.5 1903 3 3 0 1903 3 4 21.3 1903 3 5 2 1903 3 6 0 1903 3 7 0 1903 3 8 20.1 1903 3 9 21.6 1903 3 10 0 1903 3 11 0 1903 3 12 0 1903 3 13 0 1903 3 14 3.3 1903 3 15 0 1903 3 16 0 1903 3 17 0 1903 3 18 0 1903 3 19 0 1903 3 20 0 1903 3 21 0 1903 3 22 0 1903 3 23 0 1903 3 24 2.8 1903 3 25 0 1903 3 26 0 1903 3 27 0 1903 3 28 0 1903 3 29 0 1903 3 30 0 1903 3 31 0 1903 4 1 0 1903 4 2 0 1903 4 3 0 1903 4 4 6.6 1903 4 5 17.5 1903 4 6 3.3 1903 4 7 0 1903 4 8 0 1903 4 9 0 1903 4 10 0 1903 4 11 5.8 1903 4 12 0 1903 4 13 0 1903 4 14 0 1903 4 15 0 1903 4 16 0 1903 4 17 2 1903 4 18 1.5 1903 4 19 0 1903 4 20 0 1903 4 21 0 1903 4 22 0.3 1903 4 23 0 1903 4 24 2.3 1903 4 25 8.6 1903 4 26 15.2 1903 4 27 3.3 1903 4 28 0 1903 4 29 0 1903 4 30 2 1903 5 1 1.3 1903 5 2 0 1903 5 3 0 1903 5 4 0 1903 5 5 0 1903 5 6 0 1903 5 7 0 1903 5 8 11.4 1903 5 9 0 1903 5 10 0 1903 5 11 1.3 1903 5 12 0 1903 5 13 0 1903 5 14 0 1903 5 15 0 1903 5 16 0 1903 5 17 0 1903 5 18 0 1903 5 19 0.3 1903 5 20 11.7 1903 5 21 11.2 1903 5 22 3.3 1903 5 23 0.3 1903 5 24 0 1903 5 25 0 1903 5 26 1 1903 5 27 0 1903 5 28 0 1903 5 29 0 1903 5 30 2.5 1903 5 31 0 1903 6 1 0 1903 6 2 0 1903 6 3 3 1903 6 4 5.1 1903 6 5 4.3 1903 6 6 11.7 1903 6 7 15.7 1903 6 8 10.7 1903 6 9 1.5 1903 6 10 2 1903 6 11 5.8 1903 6 12 3.3 1903 6 13 1 1903 6 14 1.5 1903 6 15 4.6 1903 6 16 5.1 1903 6 17 0.3 1903 6 18 0 1903 6 19 1.3 1903 6 20 0.5 1903 6 21 0 1903 6 22 0 1903 6 23 8.9 1903 6 24 0.3 1903 6 25 0 1903 6 26 5.1 1903 6 27 0 1903 6 28 0 1903 6 29 0 1903 6 30 0 1903 7 1 0.3 1903 7 2 7.1 1903 7 3 0.5 1903 7 4 9.4 1903 7 5 0.5 1903 7 6 4.8 1903 7 7 0.3 1903 7 8 0 1903 7 9 4.1 1903 7 10 0.3 1903 7 11 0 1903 7 12 0 1903 7 13 0 1903 7 14 3.6 1903 7 15 4.6 1903 7 16 0 1903 7 17 0 1903 7 18 0 1903 7 19 11.2 1903 7 20 0.3 1903 7 21 0 1903 7 22 0 1903 7 23 0 1903 7 24 0 1903 7 25 0 1903 7 26 0 1903 7 27 0 1903 7 28 5.1 1903 7 29 4.8 1903 7 30 0.8 1903 7 31 1.3 1903 8 1 0.3 1903 8 2 0.5 1903 8 3 0 1903 8 4 0.8 1903 8 5 0.3 1903 8 6 0 1903 8 7 0 1903 8 8 0 1903 8 9 0 1903 8 10 0 1903 8 11 2.5 1903 8 12 1.3 1903 8 13 0 1903 8 14 0 1903 8 15 0 1903 8 16 2 1903 8 17 0 1903 8 18 1.5 1903 8 19 0 1903 8 20 0.8 1903 8 21 6.1 1903 8 22 0 1903 8 23 0.5 1903 8 24 0 1903 8 25 0 1903 8 26 0.5 1903 8 27 0 1903 8 28 0 1903 8 29 0 1903 8 30 0.5 1903 8 31 34.5 1903 9 1 0.3 1903 9 2 6.1 1903 9 3 0 1903 9 4 0 1903 9 5 6.9 1903 9 6 2.5 1903 9 7 3.6 1903 9 8 0.5 1903 9 9 0 1903 9 10 0 1903 9 11 0 1903 9 12 0 1903 9 13 4.1 1903 9 14 0 1903 9 15 0 1903 9 16 0 1903 9 17 15.7 1903 9 18 4.1 1903 9 19 0.3 1903 9 20 0 1903 9 21 0 1903 9 22 0 1903 9 23 0.8 1903 9 24 1.3 1903 9 25 10.4 1903 9 26 0 1903 9 27 0 1903 9 28 0.5 1903 9 29 9.7 1903 9 30 0 1903 10 1 0.3 1903 10 2 0 1903 10 3 0.3 1903 10 4 0 1903 10 5 0 1903 10 6 0 1903 10 7 0 1903 10 8 0 1903 10 9 0 1903 10 10 2.3 1903 10 11 0.3 1903 10 12 0 1903 10 13 0 1903 10 14 0 1903 10 15 4.6 1903 10 16 1 1903 10 17 0 1903 10 18 0 1903 10 19 0 1903 10 20 5.8 1903 10 21 0 1903 10 22 0.3 1903 10 23 0 1903 10 24 0.5 1903 10 25 0 1903 10 26 0 1903 10 27 0 1903 10 28 0 1903 10 29 0 1903 10 30 0 1903 10 31 0 1903 11 1 14.5 1903 11 2 0 1903 11 3 0 1903 11 4 0 1903 11 5 0 1903 11 6 0 1903 11 7 0 1903 11 8 0 1903 11 9 0 1903 11 10 0.8 1903 11 11 0.8 1903 11 12 0 1903 11 13 0 1903 11 14 0 1903 11 15 1.7 1903 11 16 2.1 1903 11 17 0 1903 11 18 0 1903 11 19 0 1903 11 20 0 1903 11 21 0 1903 11 22 0 1903 11 23 1 1903 11 24 2.5 1903 11 25 0.3 1903 11 26 9.1 1903 11 27 2.5 1903 11 28 9.9 1903 11 29 16.8 1903 11 30 0.8 1903 12 1 0 1903 12 2 0 1903 12 3 0 1903 12 4 0 1903 12 5 0 1903 12 6 0 1903 12 7 0 1903 12 8 0 1903 12 9 0 1903 12 10 0 1903 12 11 15.5 1903 12 12 0.5 1903 12 13 1.8 1903 12 14 15.7 1903 12 15 0 1903 12 16 0 1903 12 17 0 1903 12 18 0 1903 12 19 0.3 1903 12 20 2.8 1903 12 21 0 1903 12 22 0 1903 12 23 0 1903 12 24 0 1903 12 25 0 1903 12 26 0 1903 12 27 33.5 1903 12 28 0 1903 12 29 0 1903 12 30 0 1903 12 31 0 1904 1 1 2 1904 1 2 2 1904 1 3 33.8 1904 1 4 0.3 1904 1 5 0 1904 1 6 0 1904 1 7 0 1904 1 8 0 1904 1 9 0 1904 1 10 0 1904 1 11 0 1904 1 12 0 1904 1 13 0 1904 1 14 0 1904 1 15 0 1904 1 16 0 1904 1 17 0 1904 1 18 0 1904 1 19 0 1904 1 20 0 1904 1 21 2.8 1904 1 22 18 1904 1 23 1.8 1904 1 24 0 1904 1 25 0 1904 1 26 2 1904 1 27 4.6 1904 1 28 0 1904 1 29 0 1904 1 30 0 1904 1 31 0 1904 2 1 0 1904 2 2 0 1904 2 3 0 1904 2 4 0 1904 2 5 0 1904 2 6 1.8 1904 2 7 0 1904 2 8 0 1904 2 9 0 1904 2 10 0 1904 2 11 0 1904 2 12 0.8 1904 2 13 0 1904 2 14 0 1904 2 15 0 1904 2 16 0 1904 2 17 0 1904 2 18 0 1904 2 19 1.3 1904 2 20 0 1904 2 21 0 1904 2 22 0.5 1904 2 23 0 1904 2 24 0.3 1904 2 25 0 1904 2 26 8.9 1904 2 27 1.5 1904 2 28 0 1904 2 29 0 1904 3 1 0 1904 3 2 0 1904 3 3 0 1904 3 4 0 1904 3 5 0 1904 3 6 0 1904 3 7 0 1904 3 8 0 1904 3 9 0 1904 3 10 0 1904 3 11 0 1904 3 12 0 1904 3 13 0 1904 3 14 0 1904 3 15 0 1904 3 16 6.1 1904 3 17 0 1904 3 18 0 1904 3 19 0 1904 3 20 1.5 1904 3 21 0.8 1904 3 22 0 1904 3 23 0 1904 3 24 0 1904 3 25 0 1904 3 26 0 1904 3 27 0 1904 3 28 0 1904 3 29 0 1904 3 30 0 1904 3 31 0 1904 4 1 0 1904 4 2 0 1904 4 3 0 1904 4 4 0 1904 4 5 0 1904 4 6 0 1904 4 7 0 1904 4 8 0 1904 4 9 0 1904 4 10 0 1904 4 11 0 1904 4 12 0 1904 4 13 0 1904 4 14 0 1904 4 15 0 1904 4 16 0 1904 4 17 0 1904 4 18 23.6 1904 4 19 10.9 1904 4 20 0 1904 4 21 2.5 1904 4 22 1.8 1904 4 23 0 1904 4 24 0 1904 4 25 0 1904 4 26 0 1904 4 27 2 1904 4 28 1 1904 4 29 0 1904 4 30 0 1904 5 1 0 1904 5 2 0 1904 5 3 0 1904 5 4 0.5 1904 5 5 0 1904 5 6 7.4 1904 5 7 0.3 1904 5 8 0 1904 5 9 3.8 1904 5 10 0 1904 5 11 0 1904 5 12 0 1904 5 13 0 1904 5 14 0 1904 5 15 0 1904 5 16 3.6 1904 5 17 8.6 1904 5 18 0 1904 5 19 0 1904 5 20 0 1904 5 21 5.3 1904 5 22 4.3 1904 5 23 0 1904 5 24 0 1904 5 25 0 1904 5 26 0 1904 5 27 0 1904 5 28 0 1904 5 29 0 1904 5 30 18.8 1904 5 31 5.3 1904 6 1 1 1904 6 2 0.3 1904 6 3 0 1904 6 4 0 1904 6 5 0 1904 6 6 0 1904 6 7 1.3 1904 6 8 0 1904 6 9 0 1904 6 10 0 1904 6 11 1.8 1904 6 12 8.4 1904 6 13 0 1904 6 14 0.8 1904 6 15 0 1904 6 16 0.3 1904 6 17 15.2 1904 6 18 13.7 1904 6 19 1.8 1904 6 20 0.5 1904 6 21 0 1904 6 22 7.6 1904 6 23 5.1 1904 6 24 1.3 1904 6 25 0 1904 6 26 0 1904 6 27 0 1904 6 28 0.5 1904 6 29 13 1904 6 30 30.5 1904 7 1 8.6 1904 7 2 1.5 1904 7 3 1.3 1904 7 4 0 1904 7 5 0 1904 7 6 0.8 1904 7 7 1 1904 7 8 1 1904 7 9 0 1904 7 10 0 1904 7 11 0 1904 7 12 0 1904 7 13 11.2 1904 7 14 4.8 1904 7 15 7.6 1904 7 16 3.6 1904 7 17 0 1904 7 18 0.5 1904 7 19 0 1904 7 20 0.3 1904 7 21 0 1904 7 22 0 1904 7 23 0 1904 7 24 15.5 1904 7 25 4.6 1904 7 26 1.3 1904 7 27 1 1904 7 28 0.5 1904 7 29 0 1904 7 30 0 1904 7 31 0 1904 8 1 0 1904 8 2 0 1904 8 3 0 1904 8 4 0 1904 8 5 0 1904 8 6 0 1904 8 7 3.8 1904 8 8 0 1904 8 9 0 1904 8 10 0 1904 8 11 0 1904 8 12 0 1904 8 13 9.1 1904 8 14 0 1904 8 15 0 1904 8 16 1.3 1904 8 17 0 1904 8 18 0.5 1904 8 19 2.5 1904 8 20 7.1 1904 8 21 0 1904 8 22 0 1904 8 23 2.5 1904 8 24 2.8 1904 8 25 0 1904 8 26 0.3
i want the counting number of rain as follows:
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1901 x190219031904
x = number of rain for > 0.000001
Thanks for your help.
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