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R Read Table Error Handling

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train <- read.table("train_loan.csv") Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 2 elements adityashrm21 2016-01-11 03:28:36 UTC #2 @harry, The problem may In this section you’ll learn the tools and techniques that help you get to the root cause of an error. List of error handling functions Without any simple documentation on the subject, the first thing we need is a list of the functions involved in error handling. Most often, this means that if you feed it numbers it will make them numeric. have a peek here

asked 3 years ago viewed 69251 times active 3 months ago Linked 19 Confusing error in R: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 In other words, delete all double quotes. Hence my only option is to copy the line -0.022015-01-03 and search for it in the file. This is error prone, not only because the text of the error might change over time, but also because many error messages are translated, so the message might be completely different

R Error In Scan Line Did Not Have Elements

Therefore, let me share a few things that I've picked up while trying to read data into R. Ideally, the tryCatch() expression should be a single function. In R, this takes three particular forms: checking that inputs are correct, avoiding non-standard evaluation, and avoiding functions that can return different types of output.

It provides useful motivation and more sophisticated examples. For this tab-delimited data, this meant only that some verbatim excerpts of comments from subjects were no longer in quotes which was a non-issue for my data analysis. Debugging is the art and science of fixing unexpected problems in your code. Error In Scan(file = File, What = What, Sep = Sep, Quote = Quote, Dec = Dec, : Here is my code: con <- textConnection(inputText, "r") mydata <- data.frame() while(length(text <- readLines(con, n=1)) > 0){ correction = T while(correction) { err <- tryCatch(part <- read.table(text=text, sep=";", fill = T,

You need to tell us how 019.06.2015 should be interpreted. Read.table Eof Within Quoted String Other types of failure There are other ways for a function to fail apart from throwing an error or returning an incorrect result. I often use messages to let the user know what value the function has chosen for an important missing argument. http://stackoverflow.com/questions/34817832/r-error-handling-using-read-table-and-defined-colclasses-having-corrupt-lines-in Step into, or s: works like next, but if the next step is a function, it will step into that function so you can work through each line.

I think a lot of people using R (including me, until recently) don't have enough education/experience programming to be thinking about error-handling. In Scan(file = File, What = What, Sep = Sep, Quote = Quote, Dec = Dec, : Eof Within Quoted String Debugging tools To implement a strategy of debugging, you’ll need tools. In R, expected errors crop up most frequently when you’re fitting many models to different datasets, such as bootstrap replicates. traceback() where recover() 4: stop("Error") where 1: stop("Error") 1: f() 3: h(x) where 2: h(x) 2: g(x) 2: g(x) where 3: g(x) 3: h(x) 1: f() where 4: f() Note that

Read.table Eof Within Quoted String

The really bad thing about this solution is, that it is really slow! https://stat.ethz.ch/pipermail/r-help/2010-January/223254.html If you're not an RStudio user, just look at the actual file in a text editor, and add dec= and sep= instructions to your read.table as needed. R Error In Scan Line Did Not Have Elements Why is bench pressing your bodyweight harder than doing a pushup? Error In Read.table More Columns Than Column Names There are several reasons why you might have text among the numbers, making R not interpret the column as numeric.

I mean maybe display the whole corrupt line in the plain csv format for manual correction (maybe including the line before and after) and then continue the read-in process including the Excerpting relevant text from the ?tryCatch documentation: If a condition is signaled while evaluating ‘expr’ then [...] control is transferred to the ‘tryCatch’ call that established the handler [...] and the Avoid functions that use non-standard evaluation, like subset, transform, and with. Unfortunately, automated testing is outside the scope of this book, but you can read more about it at http://r-pkgs.had.co.nz/tests.html. Error In Read.table Duplicate 'row.names' Are Not Allowed

This allows interactive debugging of batch code. # In batch R process ---- dump_and_quit <- function() { # Save debugging info to file last.dump.rda dump.frames(to.file = Log In Error while reading csv file using read.table function in R tools r harry 2016-01-08 00:06:39 UTC #1 I am currently studying about how to load data in R while Hence I still would like to have another solution using more standard methods or probably a special package. Once I removed the "#" from the offending cells, the data imported without issue.

Figure out where it is If you’re lucky, one of the tools in the following section will help you to quickly identify the line of code that’s causing the bug. R Read Table Fill This is useful if you’ve fixed the bad state and want to check that the function proceeds correctly. What is a good antonym for "commiserate"?

Join them; it only takes a minute: Sign up Error in reading in data set in R up vote 26 down vote favorite 16 When reading in my data set in

For example, normally if you run a function that throws an error, it terminates immediately and doesn’t return a value: f1 <- function(x) { log(x) 10 }

custom_stop <- function(subclass, message, call = sys.call(-1), ...) { c <- condition(c(subclass, "error"), message, call = call, ...) stop(c) } my_log Other errors may occur, of course, such as permissions or file format problems, so you might want to wrap everything in a try-block anyway. Normally, read.table is very good about skipping over whitespace, should you have happened to put an extra whitespace in before that factor level. However, it’s usually not.