Hi everybody, My name is Jackson and come here ask for a help to organize data. I really need help from you. I have several data sets to organize.
I have to summarize precipitation data collected in different days and months in only one table. However, those data are disperse in days and times. Those rainy days have a more observations than drought ones. Below you can find a hypothetical example of what I have and I what I need comes in sequence. The following table is what I have for a single year. Notice that number of observations varies from day to day entire year. *Day* *Time* *Prec* Jan 1 7:00 20mm 1 7:20 15mm 1 7:30 5mm 2 6:00 10mm 2 15:00 16mm ... ... ...mm 31 7:00 2mm Feb 1 9:00 6mm 1 9:45 30mm 2 6:45 12mm 2 16:00 20mm 2 22:00 60mm *...* *...* *...mm* 28 11:30 25mm *...* *...* *...* *...mm* Dec 31 *...* *...mm* That way is hard to develop analysis comparing to another year. Thus, I would like summarize all information in a new (reasonable) table. I need a command that says: Sum all January 1st, Sum all January 2nd until December 31st resulting in something as follows. *Month Day->* *1* *2* *3* *4* *...* *31* *Jan* 40mm 16mm 50mm 66mm ...mm 90mm *Feb* 60mm 120mm 25mm 45mm ...mm *...* ...mm ...mm ...mm ...mm ...mm ...mm *Dec* 120mm 30mm 26mm 90mm ...mm 5mm The question is: How to manage it? Does anybody could help me? Thank you very much in advance With the best wishes Jackson M. Rodrigues [[alternative HTML version deleted]] ______________________________________________ R-help@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.