gtsave | R Documentation |
gtsave()
makes it easy to save a gt table to a file. The
function guesses the file type by the extension provided in the output
filename, producing either an HTML, PDF, PNG, LaTeX, or RTF file.
gtsave(data, filename, path = NULL, ...)
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
filename |
Output filename
The file name to create on disk. Ensure that an extension compatible with
the output types is provided ( |
path |
Output path
An optional path to which the file should be saved (combined with
|
... |
Additional options
All other options passed to the appropriate internal saving function. |
Output filenames with either the .html
or .htm
extensions will produce an
HTML document. In this case, we can pass a TRUE
or FALSE
value to the
inline_css
option to obtain an HTML document with inlined CSS styles (the
default is FALSE
). More details on CSS inlining are available at
as_raw_html()
. We can pass values to arguments in htmltools::save_html()
through the ...
. Those arguments are either background
or libdir
,
please refer to the htmltools documentation for more details on the use
of these arguments.
If the output filename is expressed with the .rtf
extension then an RTF
file will be generated. In this case, there is an option that can be passed
through ...
: page_numbering
. This controls RTF document page numbering
and, by default, page numbering is not enabled (i.e., page_numbering = "none"
).
We can create an image file based on the HTML version of the gt
table. With
the filename extension .png
, we get a PNG image file. A PDF document can be
generated by using the .pdf
extension. This process is facilitated by the
webshot2 package, so, this package needs to be installed before
attempting to save any table as an image file. There is the option of passing
values to the underlying webshot2::webshot()
function through ...
. Some of
the more useful arguments for PNG saving are zoom
(defaults to a scale
level of 2
) and expand
(adds whitespace pixels around the cropped table
image, and has a default value of 5
), and selector
(the default value is
"table"
). There are several more options available so have a look at the
webshot2 documentation for further details.
If the output filename extension is either of .tex
, .ltx
, or .rnw
, a
LaTeX document is produced. An output filename of .rtf
will generate an RTF
document. The LaTeX and RTF saving functions don't have any options to pass
to ...
.
If the output filename extension is .docx
, a Word document file is
produced. This process is facilitated by the rmarkdown package, so this
package needs to be installed before attempting to save any table as a
.docx
document.
The file name (invisibly) if the export process is successful.
Using a small subset of the gtcars
dataset, we can create a gt table
with row labels. We'll add a stubhead label with the tab_stubhead()
function to describe what is in the stub.
tab_1 <- gtcars |> dplyr::select(model, year, hp, trq) |> dplyr::slice(1:5) |> gt(rowname_col = "model") |> tab_stubhead(label = "car")
Export the gt table to an HTML file with inlined CSS (which is necessary
for including the table as part of an HTML email) using gtsave()
and the
inline_css = TRUE
option.
tab_1 |> gtsave(filename = "tab_1.html", inline_css = TRUE)
By leaving out the inline_css
option, we get a more conventional HTML file
with embedded CSS styles.
tab_1 |> gtsave(filename = "tab_1.html")
Saving as a PNG file results in a cropped image of an HTML table. The amount
of whitespace can be set with the expand
option.
tab_1 |> gtsave("tab_1.png", expand = 10)
Any use of the .tex
, .ltx
, or .rnw
will result in the output of a LaTeX
document.
tab_1 |> gtsave("tab_1.tex")
With the .rtf
extension, we'll get an RTF document.
tab_1 |> gtsave("tab_1.rtf")
With the .docx
extension, we'll get a word/docx document.
tab_1 |> gtsave("tab_1.docx")
13-1
v0.2.0.5
(March 31, 2020)
Other table export functions:
as_gtable()
,
as_latex()
,
as_raw_html()
,
as_rtf()
,
as_word()
,
extract_body()
,
extract_cells()
,
extract_summary()
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