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1. Simply export a data frame to an xlsx file

iris |> toxlsx(path = mypath)

Preview of the xlsx file in LibreOffice Calc :

2. Export a list of several data frames to an xlsx file (each data frame in a different sheet)

list(iris,cars) |> toxlsx(path = mypath)

Preview of the xlsx file in LibreOffice Calc :

3. Export a data frame to an xlsx file (merging modalities for one column)

# Create df1
df1 <- data.frame(
  group = c("dupont","dupont","arnold","arnold"),
  name = c("toto","tata","tutu","tete"),
  volume = c(10,8,12,15)
)
#  Export
df1 |> toxlsx(path = mypath, mergecol = "group")

Preview of the xlsx file in LibreOffice Calc :

4. Export a data frame to an xlsx file (merging modalities for several columns)

sorted_mtcars <- mtcars[
  order(mtcars$gear, mtcars$am),
  c("gear", "am", setdiff(names(mtcars), c("gear", "am")))
  ]

sorted_mtcars |>
  toxlsx(path = mypath, mergecol = c("gear", "am"))

Preview of the xlsx file in LibreOffice Calc :

5. Export a data frame to an xlsx file (splitting the data frame into groups)

df1 |> toxlsx(path = mypath, bygroup= "group", groupname=TRUE)

6. Export a list of several data frames to an xlsx file (several data frames in a same sheet)

tb1 <- data.frame(tables = c(rep("iris",5),rep("cars",2)),
                  var = c(names(iris),names(cars)))

tb2 <- data.frame(tables = c("iris","cars","cars"),
                  rownumber = c(150,50,32))

list(tb1,tb2) |>
  toxlsx(tosheet = "mydata",
         mergecol = "tables",
         footnote1 = list("tb1" = "The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.",
                          "tb2" = "The data give the speed of cars and the distances taken to stop. Note that the data were recorded in the 1920s."),
         footnote2 = list("tb1" = "Predicted attribute: class of iris plant.",
                          "tb2" = "Data recorded in the 1920s"),
         footnote3 = list("tb1" = "Source : R.A. Fisher",
                          "tb2" = "Source : M. Ezekiel"),
         path=mypath)

Note that the arguments tosheet and mergecol, being length-one character vectors, are recycled for all data frames of the list.

Preview of the xlsx file in LibreOffice Calc :

7. Export a list of data frames to an named xlsx file by specifying which data frame goes in which sheet, styling each column, giving a title and footnotes…

iris <- iris %>% head()
cars <- cars %>% head()

list(iris,cars) |>
  toxlsx(tosheet = list("iris" = "first",
                        "cars" = "second"),
         title = list("iris" = "Head of iris",
                      "cars" = "Head of cars"),
         mergecol = list("iris" = "Species",
                         "cars" = "speed"),
         # The `columnstyle` argument is optional in toxlsx(). 
         # It is used only if you want to specify the format of each column
         columnstyle = list("iris" = list("c1" = "decimal",
                                          "c2" = "decimal",
                                          "c3" = "number",
                                          "c4" = "number",
                                          "c5" = "character"),
                            "cars" =  list("c1" = "number",
                                           "c2" = "number")),
         footnote1 = list("iris" = "The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.",
                           "cars" = "The data give the speed of cars and the distances taken to stop. Note that the data were recorded in the 1920s."),
         footnote2 = list("iris" = "Predicted attribute: class of iris plant.",
                           "cars" = "Data recorded in the 1920s"),
         footnote3 = list("iris" = "Source : R.A. Fisher",
                           "cars" = "Source : M. Ezekiel"),
         filename = "Results",
         path = mypath)

The equivalent with the {openxlsx} syntax would be much longer and more painful to write.

Preview of the xlsx file in LibreOffice Calc :