How to read a *.csv file in R?
On Mar 13, 2013, at 16:54 , Daniel Nordlund wrote:
-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Maximus Sent: Wednesday, March 13, 2013 12:15 AM To: r-help at r-project.org Subject: [R] How to read a *.csv file in R? Hey guys, I am dealing with this kind of data. To read the file in R I have nulled all empty fields and tried: date BRENT BRENTchg HWWI HWWIchg Jan. 86 22,5 NULL 68,1 -15,6 Feb.86 17 NULL 64,9 -21,6 Mar. 86 13,7 NULL 66,6 -19,5 Apr.86 12,3 NULL 63,6 -19,1 May 86 14 NULL 61,5 -20,9 June 86 11,8 NULL 59,8 -20,7 July 86 9,4 NULL 57,2 -19,3 Aug.86 13,2 NULL 55,5 -18,3 Sep.86 14,2 NULL 57,5 -15,1 Oct. 86 13,7 NULL 55,5 -14,1 Nov.86 14,4 NULL 54,9 -14,9 Dec. 86 15,7 NULL 52,9 -26,4 Jan. 87 18,3 -18,67 49,8 -26,87 Feb.87 17,3 1,76 49,9 -23,11 Mar. 87 17,8 29,93 49,7 -25,38 Apr.87 18 46,34 50,5 -20,6 May 87 18,6 32,86 52,3 -14,96 June 87 18,8 59,32 53,5 -10,54 July 87 19,8 110,64 54,5 -4,72 Aug.87 18,9 43,18 55,3 -0,36 Sep.87 18,2 28,17 55,1 -4,17 Oct. 87 18,6 35,77 57,8 4,14 Nov.87 17,7 22,92 55,5 1,09 Dec. 87 16,8 7,01 56,5 6,81 Jan. 88 16,7 -8,74 58,4 17,27 Feb.88 15,7 -9,25 59,5 19,24
heisenberg <- read.csv(file="comprice.csv",head=TRUE,sep="")
Error in read.table(file = file, header = header, sep = sep, quote = quote, : duplicate 'row.names' are not allowed However, my row names are not duplicated. When I try:
heisenberg <- read.csv(file="comprice.csv",head=TRUE,sep=",")
Error in read.table(file = file, header = header, sep = sep, quote = quote, : more columns than column names I have saved the file with excel under *.csv(MSDOS). How to read this file? Thank you in advance for your help?
The data appear to be tab delimited with the decimal point being a comma (','). So, try read.csv2()
heisenberg <- read.csv2(file="comprice.csv", header=TRUE, sep="\t")
read.delim2() would be more to the point. (M: Are you _sure_ Excel calls this a csv file? Those are usually semicolon-separated in German locales.) It's usually easier to leave blank fields blank in delimited formats. If you code NULL for missing, you'll need the na.strings= argument. -pd
Hope this is helpful, Dan Daniel Nordlund Bothell, WA USA
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Peter Dalgaard, Professor Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com