View source: R/as_flextable.tabular.R
as_flextable.tabular | R Documentation |
Produce a flextable from a 'tabular' object
produced with function tables::tabular()
.
When as_flextable.tabular=TRUE
, the first column is
used as row separator acting as a row title. It can
be formated with arguments fp_p
(the formatting
properties of the paragraph) and row_title
that
specifies the content and eventually formattings
of the content.
Two hidden columns can be used for conditional formatting
after the creation of the flextable (use only when
spread_first_col=TRUE
):
The column .row_title
that contains the title label
The column .type
that can contain the following values:
"one_row": Indicates that there is only one row for this group. In this case, the row is not expanded with a title above.
"list_title": Indicates a row that serves as a title for the data that are displayed after it.
"list_data": Indicates rows that follow a title and contain data to be displayed.
The result is paginated (see paginate()
).
## S3 method for class 'tabular'
as_flextable(
x,
spread_first_col = FALSE,
fp_p = fp_par(text.align = "center", padding.top = 4),
row_title = as_paragraph(as_chunk(.row_title)),
add_tab = FALSE,
...
)
x |
object produced by |
spread_first_col |
if TRUE, first row is spread as a new line separator instead of being a column. This helps to reduce the width and allows for clear divisions. |
fp_p |
paragraph formatting properties associated with row titles,
see |
row_title |
a call to |
add_tab |
adds a tab in front of "list_data"
label lines (located in column |
... |
unused argument |
Other as_flextable methods:
as_flextable()
,
as_flextable.data.frame()
,
as_flextable.gam()
,
as_flextable.glm()
,
as_flextable.grouped_data()
,
as_flextable.htest()
,
as_flextable.kmeans()
,
as_flextable.lm()
,
as_flextable.merMod()
,
as_flextable.pam()
,
as_flextable.summarizor()
,
as_flextable.table()
,
as_flextable.tabulator()
,
as_flextable.xtable()
if (require("tables")) {
set.seed(42)
genders <- c("Male", "Female")
status <- c("low", "medium", "high")
Sex <- factor(sample(genders, 100, rep = TRUE))
Status <- factor(sample(status, 100, rep = TRUE))
z <- rnorm(100) + 5
fmt <- function(x) {
s <- format(x, digits = 2)
even <- ((1:length(s)) %% 2) == 0
s[even] <- sprintf("(%s)", s[even])
s
}
tab <- tabular(
Justify(c) * Heading() * z *
Sex * Heading(Statistic) *
Format(fmt()) *
(mean + sd) ~ Status
)
as_flextable(tab)
}
if (require("tables")) {
tab <- tabular(
(Species + 1) ~ (n = 1) + Format(digits = 2) *
(Sepal.Length + Sepal.Width) * (mean + sd),
data = iris
)
as_flextable(tab)
}
if (require("tables")) {
x <- tabular((Factor(gear, "Gears") + 1)
* ((n = 1) + Percent()
+ (RowPct = Percent("row"))
+ (ColPct = Percent("col")))
~ (Factor(carb, "Carburetors") + 1)
* Format(digits = 1), data = mtcars)
ft <- as_flextable(
x,
spread_first_col = TRUE,
row_title = as_paragraph(
colorize("Gears: ", color = "#666666"),
colorize(as_b(.row_title), color = "red")
)
)
ft
}
if (require("tables")) {
tab <- tabular(
(mean + mean) * (Sepal.Length + Sepal.Width) ~ 1,
data = iris
)
as_flextable(tab)
}
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