Hi > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Stefano Sofia > Sent: Tuesday, March 04, 2014 11:58 AM > To: r-help@r-project.org > Subject: [R] format for as.Date and inserting missing rows in a data > frame > > 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"?
This shall do it if you put dataframe name instead of ... as.Date(paste(...$Year, ...$Month, ...$Day, sep="."), 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? Why? What is wrong with NA? What do you want to do with -999.9? Anyway, you can get sequence of dates ?seq.Date and merge it with your data. ?merge I do not help you to put -999.9 instead of NA as I consider it extremely silly. Regards Petr > > > Thank you for your help > Stefano > > > ________________________________ > > AVVISO IMPORTANTE: Questo messaggio di posta elettronica può contenere > informazioni confidenziali, pertanto è destinato solo a persone > autorizzate alla ricezione. I messaggi di posta elettronica per i > client di Regione Marche possono contenere informazioni confidenziali e > con privilegi legali. 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