Read files based on the extension

read_file() is the backbone of all read_cnt methods, where files are read from their source. The function is a wrapper around read_ext(), that controls the dispatch based on the file extension.

read_ext() controls which packages and functions are used to read the individual file extensions. Below is a list of all the pre-defined methods:

• default: All extensions not listed below is attempted to be read with vroom::vroom()

• txt: readr::read_lines()

• csv: readr::read_csv()

• parquet: arrow::read_parquet()

• rds: readr::read_rds()

• sas7bdat: haven::read_sas()

• xpt: haven::read_xpt()

• yml/yaml: yaml::read_yaml()

• json: jsonlite::read_json()

Usage

read_file(path, ...)

read_ext(path, ...)

# Default S3 method
read_ext(path, ...)

# S3 method for class 'txt'
read_ext(path, ...)

# S3 method for class 'csv'
read_ext(path, ...)

# S3 method for class 'parquet'
read_ext(path, ...)

# S3 method for class 'rds'
read_ext(path, ...)

# S3 method for class 'sas7bdat'
read_ext(path, ...)

# S3 method for class 'xpt'
read_ext(path, ...)

# S3 method for class 'yml'
read_ext(path, ...)

# S3 method for class 'json'
read_ext(path, ...)

Arguments

path

character() Path to the file.

...

Other parameters passed on the functions behind the methods for each file extension.

Value

the result of the reading function

Examples

# Read CSV file
temp_csv <- tempfile("iris", fileext = ".csv")
write.csv(iris, temp_csv, row.names = FALSE)
read_file(temp_csv)
#> Rows: 150 Columns: 5
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (1): Species
#> dbl (4): Sepal.Length, Sepal.Width, Petal.Length, Petal.Width
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 150 × 5
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>           <dbl>       <dbl>        <dbl>       <dbl> <chr>  
#>  1          5.1         3.5          1.4         0.2 setosa 
#>  2          4.9         3            1.4         0.2 setosa 
#>  3          4.7         3.2          1.3         0.2 setosa 
#>  4          4.6         3.1          1.5         0.2 setosa 
#>  5          5           3.6          1.4         0.2 setosa 
#>  6          5.4         3.9          1.7         0.4 setosa 
#>  7          4.6         3.4          1.4         0.3 setosa 
#>  8          5           3.4          1.5         0.2 setosa 
#>  9          4.4         2.9          1.4         0.2 setosa 
#> 10          4.9         3.1          1.5         0.1 setosa 
#> # ℹ 140 more rows