Read Rectangular Text Data
Generate a column specification
Callback classes
Returns values from the clipboard
Skip a column
Create column specification
Count the number of fields in each line of a file
Create a source object.
Create or retrieve date names
Retrieve the currently active edition
Guess encoding of file
Convert a data frame to a delimited string
Create locales
Return melted data for each token in a delimited file (including csv &...
Melt a delimited file by chunks
Return melted data for each token in a fixed width file
Return melted data for each token in a whitespace-separated file
Preprocess column for output
Parse logicals, integers, and reals
Parse date/times
Parse factors
Parse using the "best" type
Parse numbers, flexibly
Parse a character vector.
Retrieve parsing problems
Read built-in object from package
Read a delimited file (including CSV and TSV) into a tibble
Read a delimited file by chunks
Read/write a complete file
Read a fixed width file into a tibble
Read/write lines to/from a file
Read lines from a file or string by chunk.
Read common/combined log file into a tibble
Read/write RDS files.
Read whitespace-separated columns into a tibble
Read whitespace-separated columns into a tibble
readr: Read Rectangular Text Data
Get path to readr example
Determine how many threads readr should use when processing
Determine whether to read a file lazily
Determine whether column types should be shown
Determine whether progress bars should be shown
Examine the column specifications for a data frame
Generate a column specification
Tokenize a file/string.
Tokenizers.
Re-convert character columns in existing data frame
Temporarily change the active readr edition
Write a data frame to a delimited file
The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Useful links