Hello.
I am a student trying to make some statistical analysis with some daily
discharge time series for several hydrometric stations. I have organized all
the discharge values of the stations (with daily discharge for 10-50 years,
upon the station) on one Excel sheet (each line has a daily value in column
D, corresponding to the date specified in column C, for a certain station
whose name is in column B and river in column A). Then, I save that sheet
with all my data in a csv format
In R, I tried to load the table with read.csv , but I receive this error
message: [ reached getOption("max.print") -- omitted 1015467 rows ]
If this length of the data is not enough for R, how else I could organize my
stations, so that I can do the statistics for all of them at the same time,
without creating for each of them a separate CSV file?
Thank you so much!
--
View this message in context:
http://r.789695.n4.nabble.com/Loading-long-CSV-tables-in-R-tp4726016.html
Sent from the datatable-help mailing list archive at Nabble.com.
_______________________________________________
datatable-help mailing list
datatable-help@lists.r-forge.r-project.org
https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
