Read raw data either using FILID value or a complete file path.
It uses the find_data() generic method. For a  .csv  file,
data.table::fread() is used and all other arguments for fread
function can be used. For a  .xlsx  or  .xls  file
readxl::read_excel() function and all of its arguments. For a  .dta
   file, haven::read_dta() is used and all other arguments for
read_dta function can be used.
Nevertheless, some most used arguments are standardized for
read_file() and they are:
nrowsto display maksimum numbers of rows to readheaderFALSE to give default columnames asV1,V2etcskipa specific number of rows before reading the datatrimwsto trim leading and trailing whitespacenafor character value to be interpreted asNA
Examples
if (FALSE) { # \dontrun{
# With FILID
DT <- read_file(file = 5)
DT <- read_file(file = 5, fill = TRUE, nrows = 10)
# With FILEGROUP
dt <- read_file(file = "UTFORE")
# With filepath
rdata <- read_file(file = "/file/path/mydata.xlsx", sheet = "S3", range = cell_rows(1:4))
rdata <- read_file(file = "/file/path/mydata.csv", sep = ",", header = FALSE)
} # }
