On Wed, Mar 9, 2011 at 5:32 PM, Giovanni Petris <gpet...@uark.edu> wrote: > > Hello, > > I have a file that looks like this: > > Date,Hour,DA_DMD,DMD,DA_RTP,RTP,, > 1/1/2006,1,3393.9,3412,76.65,105.04,, > 1/1/2006,2,3173.3,3202,69.20,67.67,, > 1/1/2006,3,3040.0,3051,69.20,77.67,, > 1/1/2006,4,2998.2,2979,67.32,69.10,, > 1/1/2006,5,3005.8,2958,65.20,68.34,, > > where the ',' is the separator and I tried to read it into R, but... > >> y <- read.csv("Data/Data_tmp.csv", header = FALSE, skip = 1, > + colClasses = c("character", "int", rep("double", 4)), > + col.names = c("Date","Hour","DA_DMD","DMD","DA_RTP", "RTP"), > + flush = TRUE) > Error in read.table(file = file, header = header, sep = sep, quote = quote, : > more columns than column names > > count.fields() gives me 8 fields per line, so I tried other variations, > like the following, with two fictitious extra fields, but... > >> y <- read.csv("Data/Data_tmp.csv", header = FALSE, skip = 1, > + colClasses = c("character", "int", rep("double", 6)), > + col.names = c("Date","Hour","DA_DMD","DMD","DA_RTP", > + "RTP", "XXX", "YYY")) > Error in methods::as(data[[i]], colClasses[i]) : > no method or default for coercing "character" to "int" > > Could anybody please tell me what I am doing wrong and how I could read > my data into R? >
This works for me: Lines <- "Date,Hour,DA_DMD,DMD,DA_RTP,RTP,, 1/1/2006,1,3393.9,3412,76.65,105.04,, 1/1/2006,2,3173.3,3202,69.20,67.67,, 1/1/2006,3,3040.0,3051,69.20,77.67,, 1/1/2006,4,2998.2,2979,67.32,69.10,, 1/1/2006,5,3005.8,2958,65.20,68.34,," read.csv(textConnection(Lines)) as does this: read.table(textConnection(Lines), skip = 1, sep = ",", col.names = c("Date","Hour","DA_DMD","DMD","DA_RTP", "RTP", "junk1", "junk2"), colClasses = c("character", "integer", rep("double", 6))) -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.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.