Read rectangular filesThese functions parse rectangular files (like csv or fixed-width format) into tibbles. They specify the overall structure of the file, and how each line is divided up into fields. |
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Read a delimited file into a tibble |
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Read a fixed width file into a tibble |
Retrieve parsing problems |
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Write rectangular filesThese functions write data frames to disk, or to convert them to in-memory strings. |
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Write a data frame to a delimited file |
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Write lines to a file |
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Convert a data frame to a delimited string |
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Preprocess column for output |
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Column specificationThe column specification describes how each column is parsed from a character vector in to a more specific data type. vroom does make an educated guess about the type of each column, but you’ll need override those guesses when it gets them wrong. |
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Coerce to a column specification |
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Create column specification |
Examine the column specifications for a data frame |
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Guess the type of a vector |
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Locale controlsThe “locale” controls all options that vary from country-to-country or language-to-language. This includes things like the character used as the decimal mark, the names of days of the week, and the encoding. See |
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Create locales |
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Create or retrieve date names |
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Data generationvroom provides a number of functions to generate datasets based on a column specification. These are mainly used for development and benchmarking, but can also be useful for reproducing bugs without requiring the original dataset. |
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Generate a random tibble |
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Generate individual vectors of the types supported by vroom |
Misc toolsThese functions are used as helpers for other functions, or to inspect objects. |
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Read lines from a file |
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Show which column types are using Altrep |
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Show which column types are using Altrep |
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Get path to vroom examples |
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Determine whether progress bars should be shown |
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Structure of objects |