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First release.
read_csv() reads a local delimited file into a base
R data.frame, using a bundled subset of the zsv C parser.
No R package dependencies.
Handles quoted fields, embedded delimiters and newlines, escaped quotes, LF and CRLF, a missing final terminator, and a UTF-8 BOM.
Infers logical, integer,
double and character column types, or takes
them from col_types. A value that will not convert to a
forced type is an error naming the row, column and value, never a silent
NA.
text reads a CSV held in a character vector instead
of a file, as utils::read.csv(text=) does — one element per
line, so readLines() output reads back unchanged. The
string’s declared encoding is honoured, so a latin1 string reads
correctly where a latin1 file is still an error.
header, delimiter and na
control the header row, the field delimiter (any single ASCII byte) and
which cell values read as missing. header = NA detects
whether the first record is names or data, from that record
alone.
sniff_csv() reports how a file would be read —
header verdict, shape, column names and inferred types — without
building the columns, so the decisions can be inspected and then pinned:
read_csv(f, header = s$header, col_types = s$col_types)
infers nothing.
Documented, tested behavior that is easy to get wrong elsewhere: blank lines are skipped everywhere, every record must have the same width, column names are preserved exactly including duplicates, invalid UTF-8 and embedded NULs are errors where they occur, and nothing is whitespace trimmed.
Large reads are interruptible, and the file handle and parser are released on errors and interrupts alike.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.