| vroom_lines {vroom} | R Documentation |
Read lines from a file
Description
vroom_lines() is similar to readLines(), however it reads the lines
lazily like vroom(), so operations like length(), head(), tail() and sample()
can be done much more efficiently without reading all the data into R.
Usage
vroom_lines(
file,
n_max = Inf,
skip = 0,
na = character(),
skip_empty_rows = FALSE,
locale = default_locale(),
altrep = TRUE,
altrep_opts = deprecated(),
num_threads = vroom_threads(),
progress = vroom_progress()
)
Arguments
file |
Either a path to a file, a connection, or literal data (either a
single string or a raw vector). Files ending in Literal data is most useful for examples and tests. To be recognised as
literal data, wrap the input with |
n_max |
Maximum number of lines to read. |
skip |
Number of lines to skip before reading data. If |
na |
Character vector of strings to interpret as missing values. Set this
option to |
skip_empty_rows |
Should blank rows be ignored altogether? i.e. If this
option is |
locale |
The locale controls defaults that vary from place to place.
The default locale is US-centric (like R), but you can use
|
altrep |
Control which column types use Altrep representations,
either a character vector of types, |
altrep_opts |
|
num_threads |
Number of threads to use when reading and materializing vectors. If your data contains newlines within fields the parser will automatically be forced to use a single thread only. |
progress |
Display a progress bar? By default it will only display
in an interactive session and not while knitting a document. The automatic
progress bar can be disabled by setting option |
Examples
lines <- vroom_lines(vroom_example("mtcars.csv"))
length(lines)
head(lines, n = 2)
tail(lines, n = 2)
sample(lines, size = 2)