| Type: | Package |
| Title: | Export Data Frames to Excel 'xlsx' Format |
| Version: | 1.5.4 |
| Description: | Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter' https://libxlsxwriter.github.io. Fast and no Java or Excel required. |
| License: | BSD_2_clause + file LICENSE |
| Encoding: | UTF-8 |
| URL: | https://ropensci.r-universe.dev/writexl https://docs.ropensci.org/writexl/ |
| BugReports: | https://github.com/ropensci/writexl/issues |
| RoxygenNote: | 7.0.2 |
| Suggests: | spelling, readxl, nycflights13, testthat, bit64 |
| Language: | en-US |
| SystemRequirements: | zlib |
| NeedsCompilation: | yes |
| Packaged: | 2025-04-15 13:34:41 UTC; jeroen |
| Author: | Jeroen Ooms  [aut,
cre],
John McNamara [cph] (Author of libxlsxwriter (see AUTHORS and COPYRIGHT
files for details)) |
| Maintainer: | Jeroen Ooms <jeroenooms@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-04-15 14:40:03 UTC |
Version
Description
Shows version of bundled libxlsxwriter.
Usage
lxw_version()
Export to xlsx
Description
Writes a data frame to an xlsx file. To create an xlsx with (multiple) named
sheets, simply set x to a named list of data frames.
Usage
write_xlsx(
x,
path = tempfile(fileext = ".xlsx"),
col_names = TRUE,
format_headers = TRUE,
use_zip64 = FALSE
)
Arguments
x |
data frame or named list of data frames that will be sheets in the xlsx |
path |
a file name to write to |
col_names |
write column names at the top of the file? |
format_headers |
make the |
use_zip64 |
use zip64 to enable support for 4GB+ xlsx files. Not all platforms can read this. |
Details
Currently supports strings, numbers, booleans and dates. Formatting options may be added in future versions.
Examples
# Roundtrip example with single excel sheet named 'mysheet'
tmp <- write_xlsx(list(mysheet = iris))
readxl::read_xlsx(tmp)
Excel Types
Description
Create special column types to write to a spreadsheet
Usage
xl_formula(x)
xl_hyperlink(url, name = NULL)
Arguments
x |
character vector to be interpreted as formula |
url |
character vector of URLs |
name |
character vector of friendly names |
Examples
df <- data.frame(
name = c("UCLA", "Berkeley", "Jeroen"),
founded = c(1919, 1868, 2030),
website = xl_hyperlink(c("http://www.ucla.edu", "http://www.berkeley.edu", NA), "homepage")
)
df$age <- xl_formula('=(YEAR(TODAY()) - INDIRECT("B" & ROW()))')
write_xlsx(df, 'universities.xlsx')
# cleanup
unlink('universities.xlsx')