Learn R Programming

rtables (version 0.6.6)

table_shell: Table shells

Description

A table shell is a rendering of the table which maintains the structure, but does not display the values, rather displaying the formatting instructions for each cell.

Usage

table_shell(
  tt,
  widths = NULL,
  col_gap = 3,
  hsep = default_hsep(),
  tf_wrap = FALSE,
  max_width = NULL
)

table_shell_str( tt, widths = NULL, col_gap = 3, hsep = default_hsep(), tf_wrap = FALSE, max_width = NULL )

Value

for table_shell_str the string representing the table shell, for table_shell, NULL, as the function is called for the side effect of printing the shell to the console

Arguments

tt

TableTree (or related class). A TableTree object representing a populated table.

widths

numeric (or NULL). (proposed) widths for the columns of x. The expected length of this numeric vector can be retrieved with ncol() + 1 as the column of row names must also be considered.

col_gap

numeric(1). Space (in characters) between columns

hsep

character(1). Characters to repeat to create header/body separator line. If NULL, the object value will be used. If " ", an empty separator will be printed. Check default_hsep() for more information.

tf_wrap

logical(1). Should the texts for title, subtitle, and footnotes be wrapped?

max_width

integer(1), character(1) or NULL. Width that title and footer (including footnotes) materials should be word-wrapped to. If NULL, it is set to the current print width of the session (getOption("width")). If set to "auto", the width of the table (plus any table inset) is used. Ignored completely if tf_wrap is FALSE.

Examples

Run this code
library(dplyr)

iris2 <- iris %>%
  group_by(Species) %>%
  mutate(group = as.factor(rep_len(c("a", "b"), length.out = n()))) %>%
  ungroup()

lyt <- basic_table() %>%
  split_cols_by("Species") %>%
  split_cols_by("group") %>%
  analyze(c("Sepal.Length", "Petal.Width"), afun = list_wrap_x(summary), format = "xx.xx")

tbl <- build_table(lyt, iris2)
table_shell(tbl)

Run the code above in your browser using DataLab