On 7/21/2006 7:36 AM, nathan wrote: > Hi, > > I'm just learning R and am encountering some unexpected results following a > guide on the internet. If anyone can help that would be great - I think it > is something about the way the data has been read in! > > I've read a coma delimited text data file that was saved from excel: > >> jacs.data <- read.table("/Users/natha/Desktop/JACSdata2.txt", header=TRUE, >> sep=",") > > This seemed to work fine, but then I start to get unusual results that don't > seem right: > > The guide says that names(file.data) will give output like "ID" "JURIS" > "RESCODE" , but I get ID.JURIS.RESCODE. > > The guide says that file.data[5,1] will give me the data for the 5th subject > but i get: > [1] 7\tACT\t\t\tSUMMONS\tACTCC321.001\tA.C.T. - MINOR THEFT (REPLACEMENT > VALUE $2000 OR LESS)\ etc - which seems scrambled
The "\t" values are tabs. I think your file was tab delimited, not comma delimited. R thinks it has only one column, because it didn't fine any commas. > > The guide says that file.data[var5>0] will give me the data for all subject > who meet that condition (ie greater than 0 on var5), but I get: > > Error in "[.data.frame"(jacs.data, offend > 0) : > object "offend" not found It looks like you typed jacs.data[offend > 0]. There are two problems: 1. You want to select rows matching the condition, so you need another comma, i.e. jacs.data[offend > 0, ] (the empty entry after the comma means "all columns"). 2. You need to have a variable named offend outside the dataframe. The error message makes it look as though you don't. If offend is a column in the dataframe, then you would use jacs.data[jacs.data$offend > 0, ] or subset(jacs.data, offend > 0) Duncan Murdoch > can anyone help? Thanks nathan ______________________________________________ R-help@stat.math.ethz.ch 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.