Q:

How to convert the output from readLines into a dataframe

I am attempting to use readLines to import a 17.6GB csv file into R. I have tried several approaches discussed here, here, here, and elsewhere and readLines seems to be the only approach that effectively at least can get the data into R. 
The problem is that I am unable to convert the output from readLines into a data frame which I can use in my analysis. The answers to a related question here are not helping me solve my problem.
Here is my sample data:
write.csv(data.frame(myid=1:10,var=runif(10)),"temp.csv")

dt<-data.frame(myid=1:10,var=runif(10))
dt

myid       var
1     1 0.5949020
2     2 0.8515591
3     3 0.8139010
4     4 0.3804234
5     5 0.4923082
6     6 0.9933775
7     7 0.1740895
8     8 0.8342808
9     9 0.3958154
10   10 0.9690561

creating chunks:
file_i <- file("temp.csv","r")
chunk_size <- 100000 # choose the best size for you
x<- readLines(file_in, n=chunk_size)

Opening the output from readLines in R:
View(x)
x
 [1] "\"\",\"myid\",\"var\""      
 [2] "\"1\",1,0.594902001088485"  
 [3] "\"2\",2,0.851559089729562"  
 [4] "\"3\",3,0.81390100880526"   
 [5] "\"4\",4,0.380423351423815"  
 [6] "\"5\",5,0.492308202432469"  
 [7] "\"6\",6,0.993377464590594"  
 [8] "\"7\",7,0.174089450156316"  
 [9] "\"8\",8,0.834280799608678"  
[10] "\"9\",9,0.395815373631194"  
[11] "\"10\",10,0.969056134112179"

Thanks in advance for any help

A:

Here is a complete sequence of instructions to transform the data as you posted into a dataframe.
set.seed(1234)    # Make the results reproducible

write.csv(data.frame(myid=1:10,var=runif(10)),"temp.csv")

dat <- readLines("temp.csv")
df1 <- strsplit(dat[-1], ",")
df1 <- do.call(rbind, df1)
df1 <- df1[,-1]
df1 <- as.data.frame(df1)
df1[] <- lapply(df1, function(x) as.numeric(as.character(x)))

names(df1) <- gsub('"', '', strsplit(dat[1], ',')[[1]][-1], fixed = TRUE)
df1

