R - reading large file without loading into memory using chunked - warnings and errors

Question

I am trying to import a large SAS dataset (75.5 million rows, sas7bdat) into RStudio in a way in which I can work with the whole dataset. After doing some digging and talking to some people it sounds like what I want to do is read in the file without loading it into memory, which is why I was attempting to use chunked::read_csv_chunkwise as this suggests:

https://mnoorfawi.github.io/handling-big-files-with-R/

I used SAS to export the dataset as a csv file. v8_mc.csv. Then in R:

library(chunked)
library(dplyr)
## Here we don't read the file, we just get something like a pointer to it.
data_chunked <- read_csv_chunkwise("B:/SAS_DATASETS/v8_mc.csv",
                                   skip = 1,stringsAsFactors = FALSE,
                                   header = TRUE,sep = ",")

But I get the following warning:

In FUN(X[[i]], ...) : Unsupported type 'logical'; using default type 'string'

The documentation said that head() should work with the chunked object, so I said what the heck and tried:

> head(data_chunked)
Error in .local(x, ...) : 
  Conversion to int failed; line=957; column=52; string='V061'

I've never used SAS before and I'm a total newb to big data in R. Since I can't open the sas or csv file in R, I can't figure out how to make a reproducible example. I'd welcome help to make this a better question.

Thanks!