read.table

I have seen in several cases that while read.table() is not able to read a tab delimited file (for example the annotation table of a microarray) returning the following error: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line xxx did not have yyy elements read.csv() works perfectly on the same file with no errors. I think also the speed of read.csv() is also higher than read.table() . Even more: read.table() is doing very crazy reading a file of me. It makes this error while reading line 100, but when I copy and paste lines 90 to 110 just after the head of the

I have a CSV when I try to read.csv() that file, I get the warning warning message: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on ... And I cannot isolate the problem, despite scouring StackOverflow and R-help for solutions. This is the Dropbox link for the data: https://www.dropbox.com/s/h0fp0hmnjaca9ff/PING%20CONCOURS%20DONNES.csv Aashu As explained by Hendrik Pon ,The message indicates that the last line of the file doesn't end with an End Of Line (EOL) character (linefeed (\n) or carriage return+linefeed (\r\n)).

I have a text file with an id and name column, and I'm trying to read it into a data frame in R: d = read.table("foobar.txt", sep="\t") But for some reason, a lot of lines get merged -- e.g., in row 500 of my data frame, I'll see something like row 500: 500 Bob\n501\tChris\n502\tGrace [So if my original text file has, say, 5000 lines, the dimensions of my table will only end up being 1000 rows and 2 columns.] I've had this happen to me quite a few times. Does anyone know what the problem is, or how to fix it? From ?read.table : The number of data columns is determined by looking at the first

What is the difference between the read.table() and read.delim() functions in the R language? In addition to reading help pages when you are unsure of what a function does, you can also examine the function's actual code. For example, entering read.delim reveals that the function contains the following code: > read.delim function (file, header = TRUE, sep = "\t", quote = "\"", dec = ".", fill = TRUE, comment.char = "", ...) read.table(file = file, header = header, sep = sep, quote = quote, dec = dec, fill = fill, comment.char = comment.char, ...) Thus, read.delim() is simply a wrapper function

I have a dataset with 100 columns and it doesn't have a header. I have an int vector that consists of some numbers ranges between 1 to 100. For example, a vector with "2 5 62 78". Now when I read the dataset using read.table, all I want is to select column 2, 5, 62 and 78 from the dataset. How can I do that? Many thanks. What you want is the option colClasses of read.table() (and the derivative functions). It allows you to pass a character vector with the classes of each column in the data. If you set that to "NULL" the column will be skipped. You can set the whole thing to "NULL" and then

I am running the following code... #Create a list of all the files file.list <- list.files(path="~/R/natural-language-processing/class-notes", pattern=".csv") #Loop over file list importing them and binding them together D1 <- do.call("rbind",lapply(file.list, read.csv, header = TRUE, stringsAsFactors = FALSE)) This is the error I get when I run do.call line above. Error in file(file, "rt") : cannot open the connection I've tried resetting my wd. My current getwd() is ~/R/natural-language-processing I've looked through the other Error in file(file, “rt”): cannot open connection Most likely you