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
{mschart}
. There are plenty of other manuals that cover
using these better than we could ever tell you to.
library(openxlsx2) # openxlsx2 >= 0.4 for mschart and rvg support
## create a workbook
wb <- wb_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()
.
{ggplot2}
plot to workbookYou 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")
}
#> Lade nötigen Namensraum: ggplot2
{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)
}
#> Lade nötigen Namensraum: rvg
{mschart}
plotsIf you want native open xml charts, have a look at
{mschart}
. Create one of the chart files and pass it to the
workbook with wb_add_mschart()
. There are two options
possible. 1. Either the default {mschart}
output identical
to the one in {officer}
. Passing a data object and let
{mschart}
prepare the data. In this case
wb_add_mschart()
will add a new data region. 2. Passing a
wb_data()
object to {mschart}
. This object
contains references to the data on the worksheet and allows using data
“as is”.
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)
## create chart referencing worksheet cells as input
# write data starting at B2
wb$add_worksheet("add_mschart - wb_data")$
add_data(x = mtcars, dims = "B2")$
add_data(x = data.frame(name = rownames(mtcars)), dims = "A2")
# create wb_data object this will tell this mschart
# from this PR to create a file corresponding to openxlsx2
dat <- wb_data(wb, dims = "A2:G10")
# create a few mscharts
scatter_plot <- ms_scatterchart(
data = dat,
x = "mpg",
y = c("disp", "hp")
)
bar_plot <- ms_barchart(
data = dat,
x = "name",
y = c("disp", "hp")
)
area_plot <- ms_areachart(
data = dat,
x = "name",
y = c("disp", "hp")
)
line_plot <- ms_linechart(
data = dat,
x = "name",
y = c("disp", "hp"),
labels = c("disp", "hp")
)
# add the charts to the data
wb <- wb %>%
wb_add_mschart(dims = "F4:L20", graph = scatter_plot) %>%
wb_add_mschart(dims = "F21:L37", graph = bar_plot) %>%
wb_add_mschart(dims = "M4:S20", graph = area_plot) %>%
wb_add_mschart(dims = "M21:S37", graph = line_plot)
# add chartsheet
wb <- wb %>%
wb_add_chartsheet() %>%
wb_add_mschart(graph = scatter_plot)
}
#> Lade nötigen Namensraum: mschart