When read.table imports a table that includes a header called 'Date', it tries to recognize the date format. For example, if one imports this data from Yahoo finance, the Date column is automatically transformed to Y-m-d, whereis in the data it appears as m/d/Y:
myData <- read.csv("http://ichart.finance.yahoo.com/table.csv?s=GOOG&a=07&b=19&c=2004&d=03&e=16&f=2010&g=d&ignore=.csv") However, it does not actually convert the variable to Date format. MyData$Date is still a factor. This combination of converting the format but not attributing the 'Date' class is for me extremely unfortunate behavior. My scripts still don't recognize the variable as being a date, but it also becomes harder to manually convert it using as.Date() because it is no longer in the original format. Is there a way to either automatically convert to as.Date() when a date format has been detected, or otherwise disable this transformation at all? -- View this message in context: http://n4.nabble.com/read-table-behavior-for-Dates-tp2013442p2013442.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.