R Error In Scan
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Error In Read.table Duplicate 'row.names' Are Not Allowed
Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up error in read.table more columns than column names Confusing error in R: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 42 elements) [duplicate] up vote 19 down vote favorite 10 This question already has an answer here: Error in reading in in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : eof within quoted string data set in R 5 answers I am new to R. I am trying to read in a "CSV" file that is space-space delimited. The file does not have headers. It looks like this Element1 Element2 Element5 Element6 Element7 I am trying to read it in like this: > mydata <- read.table("/PathTo/file.csv") Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 14 elements Why does it expect 14 elements in the first row? How do I
R Fill = True
import this file? r share|improve this question asked Oct 18 '13 at 16:55 bernie2436 3,9551866145 marked as duplicate by Frank, rcs, liyakat, Jilber, Dour High Arch Oct 19 '13 at 16:28 This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question. @SimonO101 if you put that as an answer I will accept –bernie2436 Oct 18 '13 at 17:19 Your data is not in the table format, why use read.table? –Fernando Oct 18 '13 at 17:20 add a comment| 2 Answers 2 active oldest votes up vote 39 down vote accepted read.table wants to return a data.frame, which must have an element in each column. Therefore R expects each row to have the same number of elements and it doesn't fill in empty spaces by default. Try read.table("/PathTo/file.csv" , fill = TRUE ) to fill in the blanks. e.g. read.table( text= "Element1 Element2 Element5 Element6 Element7" , fill = TRUE , header = FALSE ) # V1 V2 V3 #1 Element1 Element2 #2 Element5 Element6 Element7 A note on whether or not to set header = FALSE... read.table tries to automatically determine if you have a header row thus: header is set to TRUE if and only if the first row contains one fewer field than the number of columns share|improve this answer edited Oct 18 '13 at 17:42 answered Oct 18 '13 at 17:22 Simon O'Hanlon 36.5k368107 +1,
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Read Table Fill True
programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 2 elements up vote http://stackoverflow.com/questions/19455070/confusing-error-in-r-error-in-scanfile-what-nmax-sep-dec-quote-skip-nli 0 down vote favorite examdata <- RCurl::getURL("https://raw.githubusercontent.com/jrwolf/IT497/master/spendingdata.txt") examdata2 <- read.table(textConnection(examdata), sep = ",", header = T) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 2 elements r share|improve this question edited Oct 25 '14 at 23:32 Rich Scriven 55.7k650111 asked Oct 25 '14 at 19:49 Steve 417 Try examdata2 <- read.table(textConnection(examdata), sep = ",", header = TRUE, skip=31, stringsAsFactors=FALSE) –akrun Oct 25 http://stackoverflow.com/questions/26566557/error-in-scanfile-what-nmax-sep-dec-quote-skip-nlines-na-strings-lin '14 at 19:54 Why did you delete the URL? It's important to the answer to the question –Rich Scriven Oct 25 '14 at 23:32 add a comment| 2 Answers 2 active oldest votes up vote 7 down vote Looks like you just need to skip a few lines. I used readLines(textConnection(examdata)) to determine where the actual data table began. Turns out it starts on the 32nd line. Therefore we can use the skip argument in read.csv to skip the first 31 lines. I used the strip.white argument because there seems to be some erroneous whitespace in the table. (df <- read.csv(text = examdata, skip = 31L, strip.white = TRUE)) # Type Cash Check Credit Debit Electronic Other Total # 1 Average Number of Purchases 23.7 3.9 10.1 14.4 4.4 2.3 58.7 # 2 Average Transaction Value $21 $168 $56 $44 $216 $69 $59 # 3 Value of Payments in % 14 19 16 18 27 5 100 Since you'll probably want those numbers to be numeric, you'll need to remove the $ sign and convert the columns to numeric so you'll be able to use them for any calculations you may do later. df[-1] <- lapply(df[-1], function(x) as.numeric(sub("[$]", "", x))) df # Type Cash Check Credit Debit Electronic Other Total # 1 Average Number of Purchases
Movie Reviews Fri 28 Feb 2014 – Sat 28 Feb 2015 (20 months ago) Dashboard ▼ Home Data Make a submission Information Description Evaluation Rules Forum Leaderboard Competition Forum All Forums » Sentiment Analysis on Movie Reviews R's read.table() failing to https://www.kaggle.com/c/sentiment-analysis-on-movie-reviews/forums/t/10170/r-s-read-table-failing-to-read-the-training-data read the training data. Start Watching « Prev Topic » Next Topic 0 votes Hi I am an absolute beginner to both sentiment analysis and R. I've been trying to read in the training data as a http://www.quantlego.com/howto/import-data-into-r-from-external-file/ dataframe using the command rot_df <- read.table('data/train.tsv', header=TRUE, sep='\t') But it fails with the error Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 38258 did not have 4 elements I checked the train.tsv error in file at that line, and to me, it does seem to have 4 tab (ASCII 0x9) separated fields. Any help would be appreciated. Thanks #1 | Posted 2 years ago Permalink yati sagade Posts 1 Joined 9 Sep '12 | Email User 0 votes hey it's a little bit late but R can handle tsv data like csv so there is no need to read in as a table. E.g. rot_df <- read.delim('data/train.tsv') should work : eof within fine! #2 | Posted 2 years ago Permalink datitran Posts 1 Joined 10 Sep '14 | Email User 0 votes yati sagade wrote: Hi I am an absolute beginner to both sentiment analysis and R. I've been trying to read in the training data as a dataframe using the command rot_df <- read.table('data/train.tsv', header=TRUE, sep='\t') But it fails with the error Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 38258 did not have 4 elements I checked the train.tsv file at that line, and to me, it does seem to have 4 tab (ASCII 0x9) separated fields. Any help would be appreciated. Thanks It's work for me:data <- read.csv("data/train.tsv", stringsAsFactors = F, sep = "\t") #3 | Posted 2 years ago Permalink st_sopov Competition 9th Posts 2 Joined 14 Nov '13 | Email User 0 votes I run into exactly the same problem. Not sure what is wrong with that line or file. I ended up just converting the tab separated file into CSV and that worked fine. You can do that easily with the command like that: awk -F '\t' '{print $1","$2",\""$3"\","$4}' train.tsv > train.csv That works on mac or linux, on widows you may need cygwin installed. Once converted, you can read the data in R with read.csv command. #4 | Posted 23 months ago Permalin
Webinar Speech Home › Courses › Import Data into R from External File Import Data into R from External File Posted on November 3, 2014 by QuantLego — No Comments ↓ This tutorial covers several ways to import data into R from external file Table of Contents1 Import using scan() function1.1 Argument -- file1.2 Argument -- what1.3 Argument -- sep1.4 Argument -- skip1.5 Argument -- na.strings1.6 Argument -- flush1.7 Argument -- fill1.8 Argument -- quiet1.9 Argument -- nmax1.10 Argument -- nlines1.11 Argument -- blank.lines.skip1.12 Argument -- multi.line1.13 Other comments2 Import using read.table() function2.1 Source file2.2 Column (variable) names2.3 Row names2.4 Modes of columns2.5 Conversion to factor2.6 Other comments about using read.table()2.7 Comma- and Tab-delimited input files3 Read from fixed-width input file using read.fwf()4 Read from Excel file using read.xlsx() function4.1 Usage4.2 Arguments4.3 Returned value4.4 Comments4.5 Example5 Reading from Excel file using RODBC 1 Import using scan() function The scan() function is most appropriatee when all the data to be read is of same mode, so that it can be accommodated by a vector or matrix. R 1234567 scan(file = "", what = double(), nmax = -1, n = -1, sep = "", quote = if(identical(sep, "\n")) "" else "'\"", dec = ".", skip = 0, nlines = 0, na.strings = "NA", flush = FALSE, fill = FALSE, strip.white = FALSE, quiet = FALSE, blank.lines.skip = TRUE, multi.line = TRUE, comment.char = "", allowEscapes = FALSE, fileEncoding = "", encoding = "unknown", text, skipNul = FALSE) 1.1 Argument -- file A quoted string or character variable containing the name of a file, or a URL, or a connection. If file="" or the argument omitted, then scan() will read from console, stopping when a completely blank line is input, for example, hit ENTER without typing anything. 1.2 Argument -- what The type of what gives the type of data to be read. The supported types are logical, integer, numeric, complex, character, raw and list. When providing what= argument, you can use either the form of type(), or any example of that type. For example, what=0 is equivalent to what=double(), what="Hello" is equivalent what=character(). ======= Data f