
data
stat_partial_tb
selects columns and/or remanes them
and/or slices rows from a tible nested in data
. This stat is
designed to be used to pre-process tibble
objects mapped to the
label
aesthetic before adding them to a plot with
geom_table
.
stat_fmt_tb(mapping = NULL, data = NULL, geom = "table",
tb.vars = NULL, tb.rows = NULL, digits = 3,
position = "identity", na.rm = FALSE, show.legend = FALSE,
inherit.aes = TRUE, ...)
A layer specific dataset - only needed if you want to override the plot defaults.
The geometric object to use display the data
character vector, optionally named, used to select and or rename the columns of the table returned.
integer vector of row indexes of rows to be retained.
integer indicating the number of significant digits to be retained in data.
The position adjustment to use for overlapping points on this layer
a logical indicating whether NA values should be stripped before the computation proceeds.
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped. FALSE
never includes, and TRUE
always includes.
If FALSE
, overrides the default aesthetics, rather
than combining with them. This is most useful for helper functions that
define both data and aesthetics and shouldn't inherit behaviour from the
default plot specification, e.g. borders
.
# NOT RUN {
library(ggplot2)
my.df <- tibble::tibble(x = c(1, 2),
y = c(0, 4),
group = c("A", "B"),
tbs = list(a = tibble::tibble(X = 1:6, Y = rep(c("x", "y"), 3)),
b = tibble::tibble(X = 1:3, Y = "x")))
ggplot(my.df, aes(x, y, label = tbs)) +
stat_fmt_tb() +
expand_limits(x = c(0,3), y = c(-2, 6))
ggplot(my.df, aes(x, y, label = tbs)) +
stat_fmt_tb(tb.vars = c(value = "X", group = "Y"),
tb.rows = 1:3) +
expand_limits(x = c(0,3), y = c(-2, 6))
# }
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