read.table

问题 I want to read a txt file into R this file has only file line, like this 1 NYC 2013-12-30 82 PM2.5 Ⅱ fair 2 London 2013-12-30 66 PM10.0 Ⅱ good there're no \n in this file, and all the what I want is a data.table incorporating these information like this: 1 NYC 2013-12-30 82 PM2.5 Ⅱ fair 2 London 2013-12-30 66 PM10.0 Ⅱ good Luckily, there're no NAs in the file, also I know for sure there're 7 fields for each observations. Could I achieve this using fread? or read.table? I tried this test <-

问题 I'm struggling to read my tables in Variant Call Format (VCF) with R. Each file has some comment lines starting with ## , and then the header starting with # . ## contig=<ID=OTU1431,length=253> ## contig=<ID=OTU915,length=253> #CHROM POS ID REF ALT QUAL FILTER INFO FORMAT /home/sega/data/bwa/reads/0015.2142.fastq.q10sorted.bam Eubacterium_ruminantium_AB008552 56 . C T 228 . DP=212;AD=0,212;VDB=0;SGB=-0.693147;MQ0F=0;AC=2;AN=2;DP4=0,0,0,212;MQ=59 GT:PL 1/1:255,255,0 How can I read such table

问题 This question already has answers here : Quickly reading very large tables as dataframes (11 answers) Closed 4 years ago . I have a large dataset (about 13GB uncompressed) and I need to load it repeatedly. The first load (and save to a different format) can be very slow but every load after this should be as fast as possible. What is the fastest way and fastest format from which to load a data set? My suspicion is that the optimal choice is something like saveRDS(obj, file = 'bigdata.Rda',

问题 I need to read a text file (tab-separated) that has some carriage returns inside some fields. If I use read.table, it gives me an error: line 6257 did not have 20 elements If I use read.csv, it doesn't give an error, but creates a new line in that place, putting the next fields in the first fields of the new line. How can I avoid this? I can't alter the file itself (the script is to be run elsewhere). Also the broken strings don't have quotation marks (no strings in the file have). One option

问题 I need to read a text file (tab-separated) that has some carriage returns inside some fields. If I use read.table, it gives me an error: line 6257 did not have 20 elements If I use read.csv, it doesn't give an error, but creates a new line in that place, putting the next fields in the first fields of the new line. How can I avoid this? I can't alter the file itself (the script is to be run elsewhere). Also the broken strings don't have quotation marks (no strings in the file have). One option

问题 I need to read a text file (tab-separated) that has some carriage returns inside some fields. If I use read.table, it gives me an error: line 6257 did not have 20 elements If I use read.csv, it doesn't give an error, but creates a new line in that place, putting the next fields in the first fields of the new line. How can I avoid this? I can't alter the file itself (the script is to be run elsewhere). Also the broken strings don't have quotation marks (no strings in the file have). One option

问题 I have multiple text files (tab-delimited) generated from the same software. I initially used a loop with assign function to create variables dynamically and store them separately with the read.table function. This resulted in too many variables and was obviously time-consuming to apply operations on separate files. I came across the lapply and fread method shown in the code below. I don't need to merge them and they need to be separate data frames so I can compare values in the files. Using

问题 Preliminary information OS: Windows XP Professional Version 2002 Service Pack 3; R version: R 2.12.2 (2011-02-25) I am attempting to read a 30,000 row by 80 column, tab-delimited text file into R using the read.delim() function. This file does have column headers with following naming convention: "_". The code that I use to attempt to read the data in is: cc <- c("integer", "character", "integer", rep("character", 3), rep("integer", 73)) example_data <- read.delim(file = 'C:/example.txt', row

问题 I have a file with the data c("A","T","B","F") . When I use: read.csv(myfile,header=F,stringsAsFactors=F) R interprets character T as TRUE and F as FALSE Am I doing anything wrong? 回答1: If all your columns are characters then try this: # replace text = . with your filename read.csv(text="A,B,T,T", header=FALSE, stringsAsFactors=FALSE, colClasses = c("character")) Else, you'll have to pass the type of each column in colClasses as: colClasses = c("numeric", "numeric", "character", ...) 回答2: I

问题 I'm importing table from a fixed width format .txt file in R. This table has about 100 observations and 200000 lines (a few lines below). 11111 2008 7 31 21 2008 8 1 21 3 4 6 18 4 7 0 12 0 0 0 0 0 1 0 0 0 0 0 0 0 5 0 0 7 5 0 1 0 2 0 0 0 0 0 0 2 0 0 0.0 5 14.9 0 14.9 0 14.0 0 16.5 0 14.9 0 15.6 0 15.3 0 0 15.6 0 15.6 0 17.6 0 16.1 0 17.10 0 1 97 0 0.60 0 1 15.1 0 986.6 0 1002.9 0 7 0 0.2 0 11111 2008 8 1 0 2008 8 1 0 4 7 6 18 4 98 0 1 9 0 0 0 2 0 1 0 0 0 0 0 0 0 5 0 0 7 0 0 0 1 0 2 0 260 0 1 0