tab_stub_indent: Control indentation of row labels in the stub

View source: R/tab_create_modify.R

tab_stub_indentR Documentation

Control indentation of row labels in the stub

Description

Indentation of row labels is an effective way for establishing structure in a table stub. tab_stub_indent() allows for fine control over row label indentation in the stub. We can use an explicit definition of an indentation level (with a number between 0 and 5), or, employ an indentation directive using keywords ("increase"/"decrease").

Usage

tab_stub_indent(data, rows, indent = "increase")

Arguments

data

The gt table data object

⁠obj:<gt_tbl>⁠ // required

This is the gt table object that is commonly created through use of the gt() function.

rows

Rows to target

⁠<row-targeting expression>⁠ // required

The rows to consider for the indentation change. We can supply a vector of row ID values within c(), a vector of row indices, or use select helpers here (e.g. starts_with(), ends_with(), contains(), matches(), num_range(), and everything()). We can also use expressions to filter down to the rows we need (e.g., ⁠[colname_1] > 100 & [colname_2] < 50⁠).

indent

Indentation directive

⁠scalar<character|numeric|integer>⁠ // default: "increase"

An indentation directive either as a keyword describing the indentation change or as an explicit integer value for directly setting the indentation level. The keyword "increase" (the default) will increase the indentation level by one; "decrease" will do the same in the reverse direction. The starting indentation level of 0 means no indentation and this values serves as a lower bound. The upper bound for indentation is at level 5.

Value

An object of class gt_tbl.

Compatibility of arguments with the from_column() helper function

from_column() can be used with the indent argument of tab_stub_indent() to obtain varying parameter values from a specified column within the table. This means that each row label could be indented a little bit differently.

Please note that for this argument (indent), a from_column() call needs to reference a column that has data of the numeric or integer type. Additional columns for parameter values can be generated with cols_add() (if not already present). Columns that contain parameter data can also be hidden from final display with cols_hide().

Examples

Using a subset of the photolysis dataset within a gt table, we can provide some indentation to all of the row labels in the stub via tab_stub_indent(). Here we provide an indent value of 3 for a very prominent indentation that clearly shows that the row labels are subordinate to the two row group labels in this table ("inorganic reactions" and "carbonyls").

photolysis |>
  dplyr::select(cmpd_name, products, type, l, m, n) |>
  dplyr::slice_head(n = 10) |>
  gt(groupname_col = "type", rowname_col = "cmpd_name") |>
  fmt_chem(columns = products) |>
  fmt_scientific(columns = l) |>
  tab_stub_indent(
    rows = everything(),
    indent = 3
  )
This image of a table was generated from the first code example in the `tab_stub_indent()` help file.

Let's use a summarized version of the pizzaplace dataset to create a another gt table with row groups and row labels. With summary_rows(), we'll generate summary rows at the top of each row group. Using tab_stub_indent() we can add indentation to the row labels in the stub.

pizzaplace |>
  dplyr::group_by(type, size) |>
  dplyr::summarize(
    sold = dplyr::n(),
    income = sum(price),
    .groups = "drop"
  ) |>
  gt(rowname_col = "size", groupname_col = "type") |>
  tab_header(title = "Pizzas Sold in 2015") |>
  fmt_integer(columns = sold) |>
  fmt_currency(columns = income) |>
  summary_rows(
    fns = list(label = "All Sizes", fn = "sum"),
    side = "top",
    fmt = list(
      ~ fmt_integer(., columns = sold),
      ~ fmt_currency(., columns = income)
    )
  ) |>
  tab_options(
    summary_row.background.color = "gray95",
    row_group.background.color = "#FFEFDB",
    row_group.as_column = TRUE
  ) |>
  tab_stub_indent(
    rows = everything(),
    indent = 2
  )
This image of a table was generated from the second code example in the `tab_stub_indent()` help file.

Indentation of entries in the stub can be controlled by values within a column. Here's an example of that using the constants dataset, where variations of a row label are mutated to eliminate the common leading text (replacing it with "..."). At the same time, the indentation for those rows is set to 4 in the indent column (value is 0 otherwise). The tab_stub_indent() statement uses from_column(), which passes values from the indent column to the namesake argument. We hide the indent column from view by use of cols_hide().

constants |>
  dplyr::select(name, value, uncert, units) |>
  dplyr::filter(
    grepl("^atomic mass constant", name) |
      grepl("^Rydberg constant", name) |
      grepl("^Bohr magneton", name)
  ) |>
  dplyr::mutate(
    indent = ifelse(grepl("constant |magneton ", name), 4, 0),
    name = gsub(".*constant |.*magneton ", "...", name)
  ) |>
  gt(rowname_col = "name") |>
  tab_stubhead(label = "Physical Constant") |>
  tab_stub_indent(
    rows = everything(),
    indent = from_column(column = "indent")
  ) |>
  fmt_scientific(columns = c(value, uncert)) |>
  fmt_units(columns = units) |>
  cols_hide(columns = indent) |>
  cols_label(
    value = "Value",
    uncert = "Uncertainty",
    units = "Units"
  ) |>
  cols_width(
    stub() ~ px(250),
    c(value, uncert) ~ px(150),
    units ~ px(80)
  ) |>
  tab_style(
    style = cell_text(indent = px(10)),
    locations = list(
      cells_column_labels(columns = units),
      cells_body(columns = units)
    )
  )
This image of a table was generated from the third code example in the `tab_stub_indent()` help file.

Function ID

2-6

Function Introduced

v0.7.0 (Aug 25, 2022)

See Also

Other part creation/modification functions: tab_caption(), tab_footnote(), tab_header(), tab_info(), tab_options(), tab_row_group(), tab_source_note(), tab_spanner(), tab_spanner_delim(), tab_stubhead(), tab_style(), tab_style_body()


rstudio/gt documentation built on Nov. 2, 2024, 5:53 p.m.