The main functions currently associated with rtable
s
are
Tables in rtables
can be constructed via the layout or
rtabulate
tabulation frameworks or also manually. Currently
manual table construction is the only way to define column spans. The
main functions for manual table constructions are:
rtable()
: collection of rrow()
objects,
column header and default formatrrow()
: collection of rcell()
objects and
default formatrcell()
: collection of data objects and cell
formattbl <- rtable(
header = c("Treatement\nN=100", "Comparison\nN=300"),
format = "xx (xx.xx%)",
rrow("A", c(104, .2), c(100, .4)),
rrow("B", c(23, .4), c(43, .5)),
rrow(),
rrow("this is a very long section header"),
rrow("estimate", rcell(55.23, "xx.xx", colspan = 2)),
rrow("95% CI", indent = 1, rcell(c(44.8, 67.4), format = "(xx.x, xx.x)", colspan = 2))
)
Before we go into explaining the individual components used to create
this table we continue with the html conversion of the
rtable()
object:
Treatement | Comparison | |
---|---|---|
N=100 | N=300 | |
A | 104 (20.00%) | 100 (40.00%) |
B | 23 (40.00%) | 43 (50.00%) |
this is a very long section header | ||
estimate | 55.23 | |
95% CI | (44.8, 67.4) |
Next, the [
operator lets you access the cell
content.
# Treatement
# N=100
# ————————————————
# A 104 (20.00%)
and to format that cell run format_rcell(tbl[1,1])
=.
Note that tbl[6, 1]
and tbl[6, 2]
display
both the same rcell
because of the
colspan
.