Use export() to export a list of data frames to a vector of file names or a filename pattern.
Arguments
- x
A list of data frames to be written to files.
- file
A character vector string containing a single file name with a
\%swildcard placeholder, or a vector of file paths for multiple files to be imported. Ifxelements are named, these will be used in place of\%s, otherwise numbers will be used; all elements must be named for names to be used.- archive
character. Either empty string (default) to save files in current directory, a path to a (new) directory, or a .zip/.tar file to compress all files into an archive.
- ...
Additional arguments passed to
export().
Details
export() can export a list of data frames to a single multi-dataset file (e.g., an Rdata or Excel .xlsx file). Use export_list to export such a list to multiple files.
Examples
## For demo, a temp. file path is created with the file extension .xlsx
xlsx_file <- tempfile(fileext = ".xlsx")
export(
list(
mtcars1 = mtcars[1:10, ],
mtcars2 = mtcars[11:20, ],
mtcars3 = mtcars[21:32, ]
),
xlsx_file
)
# import a single file from multi-object workbook
import(xlsx_file, sheet = "mtcars1")
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
# import all worksheets, the return value is a list
import_list(xlsx_file)
#> $mtcars1
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#>
#> $mtcars2
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> 2 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> 3 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> 4 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> 5 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> 6 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> 7 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> 8 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> 9 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> 10 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#>
#> $mtcars3
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> 2 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> 3 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> 4 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> 5 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> 6 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> 7 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> 8 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> 9 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> 10 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> 11 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> 12 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
library('datasets')
export(list(mtcars1 = mtcars[1:10,],
mtcars2 = mtcars[11:20,],
mtcars3 = mtcars[21:32,]),
xlsx_file <- tempfile(fileext = ".xlsx")
)
# import all worksheets
list_of_dfs <- import_list(xlsx_file)
# re-export as separate named files
## export_list(list_of_dfs, file = c("file1.csv", "file2.csv", "file3.csv"))
# re-export as separate files using a name pattern; using the names in the list
## This will be written as "mtcars1.csv", "mtcars2.csv", "mtcars3.csv"
## export_list(list_of_dfs, file = "%s.csv")