read.table

I'm trying to import my dataset in R using read.table() : Dataset.df <- read.table("C:\\dataset.txt", header=TRUE) But I get the following error message: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 145 elements What does this mean and how can I fix it? This error is pretty self-explanatory. There seem to be data missing in the first line of your data file (or second line, as the case may be since you're using header = TRUE ). Here's a mini example: ## Create a small dataset to play with cat("V1 V2\nFirst 1 2\nSecond 2\nThird 3 8\n", file=

I want to import a table ( .txt file) in R with read.table() . One column in my table is an ID with nine numerals - some ids begin with a 0, other with 1 or 2. R truncates the first 0 (012345678 becomes 12345678) which leads to problems when using this ID to merge another table. Can someone give me a hint how to solve the problem? agstudy As said in Ben's answer, colClasses is the easier way to do it. Here is an example: read.table(text = 'col1 col2 0012 0001245', head=T, colClasses=c('character','numeric')) col1 col2 1 0012 1245 ## col1 keep 00 but not col2 A reproducible example would be

I have a sparse data set, one whose number of columns vary in length, in a csv format. Here is a sample of the file text. 12223, University 12227, bridge, Sky 12828, Sunset 13801, Ground 14853, Tranceamerica 14854, San Francisco 15595, shibuya, Shrine 16126, fog, San Francisco 16520, California, ocean, summer, golden gate, beach, San Francisco When I use read.csv("data.txt", header = F) R will interpret the data set as having 3 columns because the size is determined from the first 5 rows. Is there anyway to force r to put the data in more columns? Blue Magister Deep in the ?read.table