Get Started with gridify

knitr::opts_chunk$set(
  collapse   = TRUE,
  comment    = "#>",
  fig.width  = 7,
  fig.height = 4
)

Introduction

In the pharmaceutical industry, and many other fields that rely heavily on data reporting, there is often a need to create tables and figures with specific text elements — like titles, subtitles, captions, and footnotes — positioned consistently around the output. Manually arranging these elements can be time-consuming and prone to inconsistencies across projects.

gridify addresses this by building on the base R grid package, making it easy to add flexible, customizable elements around a plot or table. This ensures a consistent layout for text elements (like headers, footers, etc.) across various output types, such as:

Because gridify is based on a graphical system, even tables become graphical objects (grobs) under the hood, meaning the end result is always an image.

Installation

You can install the newest release version from CRAN:

install.packages("gridify")

Or you can install the newest development version from Pharmaverse GitHub (example):

# install.packages("remotes")
remotes::install_github("pharmaverse/gridify", build_manual = TRUE)

Then load gridify:

library(gridify)
library(magrittr)

Basic Workflow

  1. Create your object (figure or table).
  2. Choose a layout (built-in or custom).
  3. Wrap the object in gridify().
  4. Fill text cells using set_cell() for headers, footers, notes, etc.

Below is a minimal example using ggplot2 for demonstration. The same approach works for gt, flextable, or base R figures.
For rtables, convert them into a flextable using rtables.officer::tt_to_flextable() before following this approach.

1. Create a Figure

library(ggplot2)

basic_plot <- ggplot2::ggplot(mtcars, ggplot2::aes(x = mpg, y = wt)) +
  ggplot2::geom_point()

(For tables, simply replace basic_plot with your gt or flextable object.)

2. Pick a Layout

In the gridify package, a layout is a predefined structure that determines how various elements of an output are arranged. It defines the positions of different components such as the output, title, subtitle, footnotes, etc., on the available area.

Layouts in gridify define where to place titles, footers, subtitles, etc., so your figures (or tables, or any grobs) have consistent text elements.

You can use built-in layouts or create your own (see vignette("create_custom_layout", package = "gridify")).

The built-in layouts include:

| Function | Description | |--------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | simple_layout() | A layout with two cells: title (top) and footer (bottom). | | complex_layout() | A multi-cell layout including header_left, header_middle, header_right, title, subtitle, note, footer_left, footer_middle, and footer_right. | | pharma_layout_base() | A base layout for pharmaceutical outputs, with predefined cells for headers, footers, titles, subtitles, notes, and references (defaults can be overwritten).| | pharma_layout_letter() | A layout for pharmaceutical letters, with predefined cells for headers, footers, titles, subtitles, notes, and references (defaults can be overwritten). | | pharma_layout_A4() | Similar to pharma_layout_letter(), but for A4 size. |

pharma_layout_letter()

3. Wrap with gridify

Use the gridify() function to combine your object (figure or table) with the specified layout:

grob_object <- gridify(
  object = basic_plot,
  layout = pharma_layout_letter()
)

4. Add Text to Cells

Use the show method (return the object) to check out available cells.

grob_object

You can add text to labeled cells (headers, footers, notes, etc.).

grob_object <- grob_object %>%
  set_cell("header_left_1", "My Company") %>%
  set_cell("header_left_2", "<PROJECT> / <INDICATION>") %>%
  set_cell("header_left_3", "<STUDY>") %>%
  set_cell("header_right_1", "CONFIDENTIAL") %>%
  set_cell("header_right_2", "<Draft or Final>") %>%
  set_cell("header_right_3", "Data Cut-off: YYYY-MM-DD") %>%
  set_cell("output_num", "<Figure> xx.xx.xx") %>%
  set_cell("title_1", "<Title 1>") %>%
  set_cell("title_2", "<Title 2>") %>%
  set_cell("title_3", "<Optional Title 3>") %>%
  set_cell("by_line", "By: <GROUP>, <optionally: Demographic parameters>") %>%
  set_cell("note", "<Note or Footnotes>") %>%
  set_cell("references", "<References:>") %>%
  set_cell("footer_left", "Program: <PROGRAM NAME>, YYYY-MM-DD at HH:MM") %>%
  set_cell("footer_right", "Page xx of nn") %>%
  set_cell("watermark", "DRAFT")

grob_object

The output is automatically drawn for the user.

5. Print or Assign

Calling print() on a gridify object displays the final layout in your R session, and invisibly returns the grid grob:

final_grob <- print(grob_object)

Raw grid code behind:

final_grob

gridify uses meta-programming to capture all grid calls needed to assemble your layout. That means you can retrieve or audit exactly how the figure or table is constructed. This functionality is particularly valuable in regulated environments (e.g., pharmaceuticals) or whenever transparency and consistency are critical.

Example with a Table

Below is a quick example from the README, using a gt table:

library(gt)

tab <- gt::gt(head(mtcars)) %>%
  gt::tab_options(
    table.width = gt::pct(100),
    data_row.padding = gt::px(10),
    table_body.hlines.color = "white",
    table.font.size = 12
  )

gridify(
  object = tab,
  layout = pharma_layout_base()
) %>%
  set_cell("header_left_1", "My Company") %>%
  set_cell("header_right_1", "CONFIDENTIAL") %>%
  set_cell("title_1", "Table Title") %>%
  set_cell("footer_left", "Program: <PROGRAM NAME>") %>%
  set_cell("footer_right", "Page 1 of 1")

This wraps the gt table in a pharma-style layout, placing headers and footers around it.

Saving Your Output

To save gridify drawings to files see vignette("simple_examples", package = "gridify").

More Resources

Conclusion

That’s it! gridify enables you to consistently position text elements around any figures or tables, all while letting you leverage base R grid for maximum control and transparency. By defining or customizing a layout once, you can reuse it across multiple outputs—saving time and ensuring consistency.



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gridify documentation built on Feb. 5, 2026, 5:09 p.m.