This is causing me great consternation, and I've spent too much time floundering around on it.
My data is in the form of columns in Excel, with the first column being in m/dd/yyyy hh:mm format. The spreadsheet is complicated (headers, merged cells, lines w/o data); so I've tried various ways of exporting the data into a text file for the R processing - CSV, spaced, etc. For example: 3/23/2010 20:55 -0.106559999 -0.121454561 -0.120300002 -0.111680001 -0.122429997 3/23/2010 21:25 -0.099166997 -0.114189997 -0.112879999 -0.104647976 -0.114720002 . . - or - 3/23/2010 20:55, -0.106559999, -0.121454561, -0.120300002, -0.111680001, -0.122429997 3/23/2010 21:25, -0.099166997, -0.114189997, -0.112879999, -0.104647976, -0.114720002 . . I can't seem to get R to recognize this data as a time/data column in m/dd/yyyy hh:mm format followed by columns of data. There was a post on an analogous topic a couple of years ago, but none of the proposed (and quite complicated) solutions seemed to work for me. Anyone know how to handle this? -- View this message in context: http://r.789695.n4.nabble.com/reading-in-time-series-tp3225481p3225481.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
