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The following manual will present various ways to add plots and charts to openxlsx2 worksheets and even chartsheets. This assumes that you have basic knowledge how to handle openxlsx2 and are familiar with either the default R graphics functions like plot() or barplot() and grDevices, or with the packages ggplot2, rvg or encharter and mschart. There are plenty of other manuals that cover using these better than we could ever tell you to.

library(openxlsx2) # openxlsx2 >= 1.26 for enharter support

## create a workbook
wb <- wb_workbook()

Add plot to workbook

You can include any image in PNG or JPEG format. Simply open a device and save the output and pass it to the worksheet with wb_add_image().

myplot <- tempfile(fileext = ".jpg")
jpeg(myplot)
print(plot(AirPassengers))
#> NULL
dev.off()
#> agg_png 
#>       2

# Add basic plots to the workbook
wb$add_worksheet("add_image")$add_image(file = myplot)

Add {ggplot2} plot to workbook

You can include ggplot2 plots similar to how you would include them with openxlsx. Call the plot first and afterwards use wb_add_plot().

if (requireNamespace("ggplot2")) {

library(ggplot2)
p <- ggplot(mtcars, aes(x = mpg, fill = as.factor(gear))) +
  ggtitle("Distribution of Gas Mileage") +
  geom_density(alpha = 0.5)
print(p)

# Add ggplot to the workbook
wb$add_worksheet("add_plot")$
  add_plot(width = 5, height = 3.5, file_type = "png", units = "in")

}
#> Loading required namespace: ggplot2
ggplot2 output written into the worksheet

ggplot2 output written into the worksheet

Add plot via {rvg}

If you want vector graphics that can be modified in spreadsheet software the dml_xlsx() device comes in handy. You can pass the output via wb_add_drawing().

if (requireNamespace("ggplot2") && requireNamespace("rvg")) {

library(rvg)

## create rvg example

p <- ggplot(iris, aes(x = Sepal.Length, y = Petal.Width)) +
  geom_point() +
  labs(title = "With font Bradley Hand") +
  theme_minimal(base_family = "sans", base_size = 18)

tmp <- tempfile(fileext = ".xml")
rvg::dml_xlsx(file =  tmp, fonts = list(sans = "Bradley Hand"))
print(p)
dev.off()

# Add rvg to the workbook
wb$add_worksheet("add_drawing")$
  add_drawing(xml = tmp)$
  add_drawing(xml = tmp, dims = NULL)

}
#> Loading required namespace: rvg
#> Warning: Font families not found on this system and replaced by defaults:
#> "sans". Use gdtools::font_family_exists() to check availability.

Adding {encharter} plots

if (requireNamespace("encharter")) {
library(encharter)

df_bar <- data.frame(
  Product = c("Software", "Services", "Hardware", "Support"),
  Q1      = c(310, 195, 140, 85),
  Q2      = c(340, 210, 130, 90),
  Q3      = c(375, 225, 125, 95),
  Q4      = c(420, 250, 120, 105)
)

wb <- wb_add_worksheet(wb, "add_encharter", grid_lines = FALSE)
wb <- wb_add_data_table(
  wb, sheet = "add_encharter", x = df_bar,
  dims = "A1", table_style = "TableStyleMedium2"
)
wb <- wb_set_col_widths(wb, sheet = "add_encharter", cols = 1:5, widths = c(12, 8, 8, 8, 8))
wb_df <- wb_data(wb)

chart <- ec("barChart")
chart$set_chart_title("Quarterly Revenue by Product (EUR k)", bold = TRUE)
chart$set_y_axis(min = 0, format = "#,##0", grid_lines = TRUE, grid_color = "EEEEEE")

colors    <- c("2E4057", "048A81", "E84855", "F4A261")
quarters  <- c("Q1", "Q2", "Q3", "Q4")
cols      <- c("B",  "C",  "D",  "E")
variables <- names(wb_df)
for (i in seq_along(quarters)) {
  chart$add_series(
    name   = variables[i + 1L],
    label  = variables[1L],
    data   = wb_df,
    color  = colors[i]
  )
}

chart$set_legend_style(pos = "bottom")

wb <- wb_add_encharter(wb, sheet = "add_encharter", graph = chart, dims = "G1:P18")
}
#> Loading required namespace: encharter

A broad selection of potential chart types available to encharter [@encharter] can be found in the project homepage: https://github.com/JanMarvin/encharter and in its examples folder. The package was created specifically to support various chart types in openxlsx2. This includes combo charts, as well as several chart features such as trend lines, secondary axis and modern spreadsheet charts such as Box and Whisker charts. The package supports the openxlsx2 functions wb_color() and fmt_txt() to tweak colors and text.

Add and fill a chartsheet

Finally it is possible to add encharter objects into chartsheets. These are special sheets that contain only a chart object, referencing data from another sheet.

# add chartsheet
wb <- wb |>
  wb_add_chartsheet() |>
  wb_add_encharter(graph = chart)

Add {mschart} plots

Support for the mschart package provides functionality to add charts that can be used with spreadsheets. This might be useful for users of the officer package.

if (requireNamespace("mschart")) {

library(mschart) # mschart >= 0.4 for openxlsx2 support

## create chart from mschart object (this creates new input data)
mylc <- ms_linechart(
  data = browser_ts,
  x = "date",
  y = "freq",
  group = "browser"
)

wb$add_worksheet("add_mschart")$add_mschart(dims = "A10:G25", graph = mylc)
}
#> Loading required namespace: mschart
#> 
#> Attaching package: 'mschart'
#> The following object is masked from 'package:ggplot2':
#> 
#>     set_theme