Add RTF File Page Information
rtf_page(
tbl,
orientation = "portrait",
width = ifelse(orientation == "portrait", 8.5, 11),
height = ifelse(orientation == "portrait", 11, 8.5),
margin = set_margin("wma", orientation),
nrow = ifelse(orientation == "portrait", 40, 28),
border_first = "double",
border_last = "double",
border_color_first = NULL,
border_color_last = NULL,
col_width = width - ifelse(orientation == "portrait", 2.25, 2.5)
)
A data frame.
Orientation in 'portrait' or 'landscape'.
A numeric value of page width in inches. Default is 8.5 inch in portrait orientation or 11.0 inch in landscape orientation.
A numeric value of page width in inches. Default is 11.0 inch in portrait orientation or 8.5 inch in landscape orientation.
A numeric vector of length 6 for page margin. The value set left, right, top, bottom, header and footer
margin in order. Default value depends on the page orientation and set by r2rtf:::set_margin("wma", orientation)
Number of rows in each page. Default is 42 rows if portrait orientation and 26 rows in landscape orientation.
First top border type of the whole table. Default is "double" indicating double line bottom border.
All possible input can be found in r2rtf:::border_type()$name
.
Last bottom border type of the whole table. Default is "double" indicating double line bottom border.
All possible input can be found in r2rtf:::border_type()$name
.
First top border color type of the whole table. Default is NULL for black.
All possible input can be found in grDevices::colors()
.
Last bottom border color type of the whole table. Default is NULL for black.
All possible input can be found in grDevices::colors()
.
A numeric value of total column width in inch. Default is width - ifelse(orientation == "portrait", 2, 2.5)
the same data frame tbl
with additional attributes for page features
The contents of this section are shown in PDF user manual only.
# NOT RUN {
library(dplyr) # required to run examples
data(tbl_1)
tbl_1 %>%
rtf_page() %>%
attr("page")
# }
Run the code above in your browser using DataLab