tsv file but data wrangling often requires the use of multiple programs and formats. None of these are ideal in that they don't quite solve the problem in R with the original. I want to mass download some images from a link, which are tiled together on one page via thumbnails, but each thumbnail link is a link to the full image, which doesnt show up in jdownloader, only the thumbnail image files for the image do. This seems to clean up whatever formatting issue makes R unhappy. tsv file in Excel and re-save it as a tab separated text file. A good option in this case is to download the Stata version of the DS12 and then open it using the read.dta command as follows: library(foreign)Ī related solution/hack is to open the. With data stored on ICPSR (see link above) or other archives another solution is to download the data in a new format. 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. In other words, delete all double quotes. Open the file in a text editor and search/replace all instances of a quote character " with nothing. At least part of the issue appears to be the occasional use of double quotes instead of an apostrophe that causes an uneven number of double quote characters in a line.Īfter fiddling, I've identified three possible solutions: It appears there is a slight formatting issue with some of the files that causes R to reject the file. Na.strings, : line 2390 did not have 1851 elements Total chemical synthesis of the integral membrane protein influenza A virus M2. tsv format will generate the following error: ds12 <- read.table("21600-0012-Data.tsv", sep="\t", comment.char="",Įrror in scan(file, what, nmax, sep, dec, quote, skip, nlines, I encountered this issue while importing some of the files from the Add Health data into R (see: ) For example, the following command to read the DS12 data file in tab separated. Read.table("test2.txt", header = TRUE, fill = TRUE) R is also smart enough to figure it out how many elements it needs even if rownames are missing: cat("V1 V2\n1\n2 5\n3 8\n", file="test2.txt") read.table("test.txt", header = TRUE, fill = TRUE) If this is the case, fill = TRUE is enough to solve your problem. JT1966: For clarity, are you able to open the QR Code Scanner by swiping from the top of the screen to the bottom using 2 fingers > QR Code Scanner If not, open the Camera app > Tap the cog symbol > Scan QR Codes, and make sure that this is toggled on. Manual correction might be needed, or we can assume that the value first value in the "Second" row line should be in the first column, and other values should be NA.
Look at the data file and see if there is indeed a problem: cat(readLines("test.txt"), sep = "\n") # Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : R automatically detects that it should expect rownames plus two columns (3 elements), but it doesn't find 3 elements on line 2, so you get an error: read.table("test.txt", header = TRUE) Here's a mini example: # Create a small dataset to play withĬat("V1 V2\nFirst 1 2\nSecond 2\nThird 3 8\n", file="test.txt") 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).
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