read.table

I am trying to read a dat file in R. The data is available here . The specification about the dataset is available here . The first part of my problem is solved by using the sep option and providing information about where every column starts and providing the na.strings="*" . However, I do not know how to handle a single observation spanning more than 1 line. In this data set, all the observations span 2 lines. Chinmay Patil You actually need read.fwf for this. Set up some sample data txt <- 'Acura Integra Small 12.9 15.9 18.8 25 31 0 1 4 1.8 140 6300 2890 1 13.2 5 177 102 68 37 26.5 11 2705

This question already has an answer here: Only read selected columns 3 answers I have some very big delimited data files and I want to process only certain columns in R without taking the time and memory to create a data.frame for the whole file. The only options I know of are read.table which is very wasteful when I only want a couple of columns or scan which seems too low level for what I want. Is there a better option, either with pure R or perhaps calling out to some other shell script to do the column extraction and then using scan or read.table on it's output? (Which leads to the

In R, is there a function like read.csv that reads in files where the headers are on the left (or right) as opposed to the top and the data is organized from left to right? So the data would look like: var1,1,2,3,4,5 Looking at the documentation for read.table and read.csv , nothing seems to pop out. The best option I see using those functions is to use read.table and then construct another table whose columns are the rows of the original data and so forth. Let's say your file is called 'data.csv' and it contains: var1,1,2,3,4,5,6 var2,2.1,3.9,4.6,5.2,6.1 var3,M,F,M,F,M,M Note var1 and var3

I'm doing the following in order to import some txt tables and keep them as list: # set working directory - the folder where all selection tables are stored hypo_selections<-list.files() # change object name according to each species hypo_list<-lapply(hypo_selections,read.table,sep="\t",header=T) # change object name according to each species I want to access one specific element, let's say hypo_list[1]. Since each element represents a table, how should I procced to access particular cells (rows and columns)? I would like to do something like it: a<-hypo_list[1] a[1,2] But I get the following

I have a .csv file, which contains the following data: "Ա","Բ" 1,10 2,20 I cannot read it into R so that the column names are displayed like they are in the file. d <- read.csv("./Data/1.csv", fileEncoding="UTF-8") head(d) Produces the following: > d <- read.csv("./Data/1.csv", fileEncoding="UTF-8") Warning messages: 1: In read.table(file = file, header = header, sep = sep, quote = quote, : invalid input found on input connection './Data/1.csv' 2: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on './Data/1.csv' > head(d)

Data.txt: Index;Time; 1;2345; 2;1423; 3;5123; The code: dat <- read.table('data.txt', skip = 1, nrows = 2, header =TRUE, sep =';') The result: X1 X2345 1 2 1423 2 3 5123 I expect the header to be Index and Time, as follows: Index Time 1 2 1423 2 3 5123 How do I do that? Beasterfield I am afraid, that there is no direct way to achieve this. Either you read the entire table and remove afterwards the lines you don't want or you read in the table twice and assign the header later: header <- read.table('data.txt', nrows = 1, header = FALSE, sep =';', stringsAsFactors = FALSE) dat <- read.table(