On Mon, Jun 28, 2010 at 7:40 PM, Gabor Grothendieck <ggrothendi...@gmail.com> wrote: > On Mon, Jun 28, 2010 at 7:30 PM, <astar...@uci.edu> wrote: >> Hi everybody, >> >> I'm working on the very >> messy data, I have tried to clean it up in SAS and >> SAS/IML but there is not enough info on how to handle certain things >> in SAS so I have turned to R. The thing itself should be rather >> simple, so i was wondering if someone could help me out. >> >> The original .csv has ([1] 7138 6338 ) dimensions with funds with the >> corresponding dates and observations for each date for around 10 years and >> 4000+ funds, meaning in COL5 has the next fund's name and so on. >> >> COL1 COL2 COL3 COL4 >> HBNNF US Equity Date EQY_SH_OUT PX_VOLUME >> #NAME? #N/A N/A 135000 >> 7/7/2008 #N/A N/A 105000 >> 7/17/2008 #N/A N/A 590000 >> 7/22/2008 #N/A N/A 40000 >> >> >> so in R this .csv is somehow read as list (using typeof) and not as >> dataframe, and a lot of stuff like regexpr searches in the > > The typeof of a data.frame is "list" so you do have a data frame -- > not a list. Perhaps the problem is that you do not want factor > columns but want character columns instead. Use read.csv(..., as.is = > TRUE) >
Just to be clear a data frame is a list so not a list means not just a list -- its also a data frame. ______________________________________________ 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.
