Dear R users,
I have a very long data frame (50 years, more than 1.5 million rows) of daily
rainfall data from about 80 raingouges.
The data frame that I have been given looks like
Raingouge_number Station_number Year Month Day Rainfall
2004 2230 1951 1 1 2.60
2004 2230 1951 1 2 0.40
2004 2230 1951 1 3 0.00
2004 2230 1951 1 4 0.00
2004 2230 1951 1 5 0.20
2004 2230 1951 1 6 0.00
2004 2230 1951 1 7 0.00
2004 2230 1951 1 8 0.00
2004 2230 1951 1 9 0.00
2004 2230 1951 1 10 0.00
...
There could be some missing days. I have two questions.
1st question:
In order to handle eventual missing days I think that I have to transform three
separate numbers (Year, Month and Day) to Date.
Is there a format in as.Date suitable for this transformation or before all I
have to set all the months and days to two digits, remove spaces and then apply
as.Date with format "%Y%m%d"?
2nd question
In case of missing day, the corresponding row will be missing and then I have
to insert this new row and put -999.9 as Rainfall. Is there an easy way to do
that?
Thank you for your help
Stefano
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