thr3ads.net - R help - [R] Counting number of rain [Oct 2015]

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David L Carlson

2015-Oct-01 14:45 UTC

[R] Counting number of rain

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, 
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, 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, 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, 
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, 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, 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, 
1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 1960L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 1961L, 
1961L, 1961L, 1961L, 1961L, 1961L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 1962L, 
1962L, 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, 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, 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, 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, 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, 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, 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, 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, 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.


??? [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Rolf Turner

2015-Oct-01 21:04 UTC

head link

[R] Counting number of rain

On 02/10/15 03:45, David L Carlson wrote:

<SNIP>
> If you want the month names:
>
>> mnt <- c("Jan", "Feb", "Mar",
"Apr", "May", "Jun",
> + "July", "Aug", "Sep", "Oct",
"Nov", "Dec")
>> dimnames(tbl)$Month <- mnt
<SNIP>

Unnecessary typing; there is a built-in data set "month.abb" (in the
"base" package) that is identical to your "mnt".

Difficult (nearly impossible!) to find, but, if you can't quite remember 
the name!  I *knew* I'd seen it, so I persisted and eventually tracked 
it down.

Strangely ??month or help.search("month") yield no trace of it.  Pages
and pages of (useless!) output but no sign of "month.abb" (nor of 
"month.name" which gives the unabbreviated month names).

Can anyone explain to me why "??" and help.search() are of no help
here?

cheers,

Rolf Turner

-- 
Technical Editor ANZJS
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276

peter dalgaard

2015-Oct-01 21:54 UTC

head link

[R] Counting number of rain

> On 01 Oct 2015, at 23:04 , Rolf Turner <r.turner at auckland.ac.nz>
wrote:
> 
> On 02/10/15 03:45, David L Carlson wrote:
> 
> <SNIP>
> 
>> If you want the month names:
>> 
>>> mnt <- c("Jan", "Feb", "Mar",
"Apr", "May", "Jun",
>> + "July", "Aug", "Sep", "Oct",
"Nov", "Dec")
>>> dimnames(tbl)$Month <- mnt
> 
> <SNIP>
> 
> Unnecessary typing; there is a built-in data set "month.abb" (in
the
> "base" package) that is identical to your "mnt".
> 
> Difficult (nearly impossible!) to find, but, if you can't quite
remember the name!  I *knew* I'd seen it, so I persisted and eventually
tracked it down.
> 
> Strangely ??month or help.search("month") yield no trace of it. 
Pages and pages of (useless!) output but no sign of "month.abb" (nor
of "month.name" which gives the unabbreviated month names).
> 
> Can anyone explain to me why "??" and help.search() are of no
help here?
Umm,

-------
Help files with alias or concept or title matching ?month? using fuzzy
matching:


base::Constants         Built-in Constants
  Aliases: month.abb, month.name
....
-------

Also, entering "month<TAB><TAB>" gives the completions
> monthmonth.abb      monthplot      months.Date    
month.name     months         months.POSIXt  

-pd
> 
> cheers,
> 
> Rolf Turner
> 
> -- 
> Technical Editor ANZJS
> Department of Statistics
> University of Auckland
> Phone: +64-9-373-7599 ext. 88276
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com

R help - Oct 2015 - Counting number of rain

[R] Counting number of rain

[R] Counting number of rain

[R] Counting number of rain