# Upgrade from openxlsx

## Basic read and write functions

Welcome to the `openxlsx2` update vignette. In this vignette we will take some common code examples from `openxlsx` and show you how similar results can be replicated in `openxlsx2`. Thank you for taking a look, and let’s get started. While previous `openxlsx` functions used the `.` in function calls, as well as camelCase, we have tried to switch to snake_case (this is still a work in progress, there may still be function arguments that use camelCase).

### Read xlsx or xlsm files

The basic read function changed from `read.xlsx` to `read_xlsx`. Using a default xlsx file included in the package:

    file <- system.file("extdata", "openxlsx2_example.xlsx", package = "openxlsx2")

The old syntax looked like this:

    # read in openxlsx
    openxlsx::read.xlsx(xlsxFile = file)

This has changed to this:

    # read in openxlsx2
    openxlsx2::read_xlsx(file = file)

    ##     Var1 Var2 <NA>  Var3  Var4       Var5         Var6    Var7     Var8
    ## 3   TRUE    1   NA     1     a 2023-05-29 3209324 This #DIV/0! 01:27:15
    ## 4   TRUE   NA   NA #NUM!     b 2023-05-23         <NA>       0 14:02:57
    ## 5   TRUE    2   NA  1.34     c 2023-02-01         <NA> #VALUE! 23:01:02
    ## 6  FALSE    2   NA  <NA> #NUM!       <NA>         <NA>       2 17:24:53
    ## 7  FALSE    3   NA  1.56     e       <NA>         <NA>    <NA>     <NA>
    ## 8  FALSE    1   NA   1.7     f 2023-03-02         <NA>     2.7 08:45:58
    ## 9     NA   NA   NA  <NA>  <NA>       <NA>         <NA>    <NA>     <NA>
    ## 10 FALSE    2   NA    23     h 2023-12-24         <NA>      25     <NA>
    ## 11 FALSE    3   NA  67.3     i 2023-12-25         <NA>       3     <NA>
    ## 12    NA    1   NA   123  <NA> 2023-07-31         <NA>     122     <NA>

As you can see, we return the spreadsheet return codes (e.g., `#NUM`) in openxlsx2. Another thing to see above, we return the cell row as rowname for the data frame returned. `openxlsx2` should return a data frame of the selected size, even if it empty. If you preferred `openxlsx::readWorkbook()` this has become `wb_read()`. All of these are wrappers for the newly introduced function `wb_to_df()` which provides the most options. `read_xlsx()` and `wb_read()` were created for backward comparability.

## Write xlsx files

Basic writing in `openxlsx2` behaves identical to `openxlsx`. Though be aware that `overwrite` is an optional parameter in `openxlsx2` and just like in other functions like `base::write.csv()` if you write onto an existing file name, this file will be replaced.

Setting the output to some temporary xlsx file

    output <- temp_xlsx()

The previous write function looks like this:

    # write in openxlsx
    openxlsx::write.xlsx(iris, file = output, colNames = TRUE)

The new function looks quite similar:

    # write in openxlsx2
    openxlsx2::write_xlsx(iris, file = output, col_names = TRUE)

## Basic workbook functions

Workbook functions have been renamed to begin with `wb_` there are plenty of these in the package, therefore looking at the man pages seems to be the fastest way. Yet, it all begins with loading the workbook.

### Loading a workbook

A major feature in `openxlsx` are workbooks. Obviously they remain a central piece in `openxlsx2`. Previous you would load them with:

    wb <- openxlsx::loadWorkbook(file = file)

In `openxlsx2` loading was changed to:

    wb <- wb_load(file = file)

There are plenty of functions to interact with workbooks and we will not describe every single one here. A detailed list can be found over at our references

### Styles

One of the biggest user facing change was the removal of the `stylesObject`. In the following section we use code from `openxlsx::addStyle()`

    # openxlsx
    ## Create a new workbook
    wb <- createWorkbook(creator = "My name here")
    addWorksheet(wb, "Expenditure", gridLines = FALSE)
    writeData(wb, sheet = 1, USPersonalExpenditure, rowNames = TRUE)

    ## style for body
    bodyStyle <- createStyle(border = "TopBottom", borderColor = "#4F81BD")
    addStyle(wb, sheet = 1, bodyStyle, rows = 2:6, cols = 1:6, gridExpand = TRUE)

    ## set column width for row names column
    setColWidths(wb, 1, cols = 1, widths = 21)

In `openxlsx2` the same code looks something like this:

    # openxlsx2 chained
    border_color <- wb_color(hex = "4F81BD")
    wb <- wb_workbook(creator = "My name here")$
      add_worksheet("Expenditure", grid_lines = FALSE)$
      add_data(x = USPersonalExpenditure, row_names = TRUE)$
      add_border( # add the outer and inner border
        dims = "A1:F6",
        top_border = "thin", top_color = border_color,
        bottom_border = "thin", bottom_color = border_color,
        inner_hgrid = "thin", inner_hcolor = border_color,
        left_border = "", right_border = ""
      )$
      set_col_widths( # set column width
        cols = 1:6,
        widths = c(20, rep(10, 5))
      )$ # remove the value in A1
      add_data(dims = "A1", x = "")

The code above uses chaining. If you prefer piping, we provide the chained functions with the prefix `wb_` so `wb_add_worksheet()`, `wb_add_data()`, `wb_add_border()` and `wb_set_col_widths()` would be the functions to use with pipes `%>%` or `|>`.

With pipes the code from above becomes

    # openxlsx2 with pipes
    border_color <- wb_color(hex = "4F81BD")
    wb <- wb_workbook(creator = "My name here") |>
      wb_add_worksheet(sheet = "Expenditure", grid_lines = FALSE) |>
      wb_add_data(x = USPersonalExpenditure, row_names = TRUE) |>
      wb_add_border( # add the outer and inner border
        dims = "A1:F6",
        top_border = "thin", top_color = border_color,
        bottom_border = "thin", bottom_color = border_color,
        inner_hgrid = "thin", inner_hcolor = border_color,
        left_border = "", right_border = ""
      ) |>
      wb_set_col_widths( # set column width
        cols = 1:6,
        widths = c(20, rep(10, 5))
      ) |> # remove the value in A1
      wb_add_data(dims = "A1", x = "")

Be aware that chains modify an object in place and pipes do not.

    # openxlsx2
    wbp <- wb_workbook() |> wb_add_worksheet()
    wbc <- wb_workbook()$add_worksheet()

    # need to assign wbp
    wbp <- wbp |> wb_add_data(x = iris)
    wbc$add_data(x = iris)

You can re-use styles with `wb_get_cell_style()` and `wb_set_cell_style()`. Abandoning `stylesObject` in `openxlsx2` has the huge benefit that we can import and export a spreadsheet without changing any cell style. It is still possible to modify a cell style with `wb_add_border()`, `wb_add_fill()`, `wb_add_font()` and `wb_add_numfmt()`.

Additional examples regarding styles can be found in the styles vignette.

### Conditional formatting

See `vignette("conditional-formatting")` for extended examples on formatting.

Here is a minimal example:

    # openxlsx2 with chains
    wb <- wb_workbook()$
      add_worksheet("a")$
      add_data(x = 1:4, col_names = FALSE)$
      add_conditional_formatting(dims = "A1:A4", rule = ">2")

    # openxlsx2 with pipes
    wb <- wb_workbook() |>
      wb_add_worksheet("a") |>
      wb_add_data(x = 1:4, col_names = FALSE) |>
      wb_add_conditional_formatting(dims = "A1:A4", rule = ">2")

### Data validation

Similarly, data validation has been updated and improved. This `openxlsx` code for data validation

    # openxlsx
    wb <- createWorkbook()
    addWorksheet(wb, "Sheet 1")
    writeDataTable(wb, 1, x = iris[1:30, ])
    dataValidation(wb, 1,
      col = 1:3, rows = 2:31, type = "whole",
      operator = "between", value = c(1, 9)
    )

looks in `openxlsx2` something like this:

    # openxlsx2 with chains
    wb <- wb_workbook()$
      add_worksheet("Sheet 1")$
      add_data_table(1, x = iris[1:30, ])$
      add_data_validation(1,
        dims = wb_dims(rows = 2:31, cols = 1:3),
        # alternatively, dims can also be "A2:C31" if you know the span in your workbook.
        type = "whole",
        operator = "between",
        value = c(1, 9)
      )

    # openxlsx2 with pipes
    wb <- wb_workbook() |>
      wb_add_worksheet("Sheet 1") |>
      wb_add_data_table(1, x = iris[1:30, ]) |>
      wb_add_data_validation(
        sheet = 1,
        dims = "A2:C31", # alternatively, dims = wb_dims(rows = 2:31, cols = 1:3)
        type = "whole",
        operator = "between",
        value = c(1, 9)
      )

### Saving

Saving has been switched from `saveWorkbook()` to `wb_save()` and opening a workbook has been switched from `openXL()` to `wb_open()`.

## Why `openxlsx2`?

Originally, `openxlsx2` was started as a private branch of `openxlsx` to include the pugixml library and provide a fully functional XML parser for `openxlsx`. At that time, it became clear that the home-written `openxlsx` XML parser was limited in its ability to reliably parse XML files, leading to some problems with broken and unreadable xlsx files. Once the inclusion of pugixml was addressed, a new internal structure was created, and this structure required changes to most of the old `openxlsx` functions. This was accompanied by the change from `methods` to `R6` and the possibility of chaining and piping functions.

Working with the styles object of `openxlsx` it became clear that while it is a great idea, it does not work well enough for our needs and that files loaded and modified by `openxlsx` never look the same. There are always things that look a little off because the style objects do not work perfectly. Likewise, there are a lot of edge cases in `openxlsx` that assume a file structure in xlsx objects that is a simplified approximation of what is actually going on. For example, `openxlsx` assumes that each sheet is accompanied by a drawing. While this works in many cases, it does not match the definition of the format in the openxml standard. There may be worksheets with multiple drawings, and there should be no drawing folder if no drawings are included. Unfortunately, many of these things are deeply embedded in the `openxlsx` code, and the more development that took place in `openxlsx2`, the more things differed between the fork from its origin. At some point the fork was called an independent project and the previously privately developed branch was made public.

You could say that this went hand in hand with the modification of the actual project goal. Before, it was about creating a similar looking xlsx file and being able to partially edit it. Now it was about writing an identical xlsx file and just being able to change everything.

Since then most of the internal functions of `openxlsx` have been cleaned up, fixed and mostly rewritten. The package has developed new ways to handle styles with the styles manager, it provides a full range of style options that would be hard or impossible to include in `openxlsx`. We have included support for native graphs with `mschart` and feature the creation of pivot tables. We support more conditional formatting options, we have improved the support for data validation, we have sparklines and form control objects. In addition many of the quirks of the old package have been ironed out. We have switched to a consistent and stable API build on `dims` and we provide multiple vignettes to document our code and plenty of functions to interact with the `openxml` format. We provide basic `xlsb` support and with `msoc` we have created a package encrypt and decrypt `openxml` files.

## Invitation to contribute

We have put a lot of work into `openxls2` to make it useful for our needs, improving what we found useful about `openxlsx` and removing what we didn’t need. We do not claim to be omniscient about all the things you can do with spreadsheet software, nor do we claim to be omniscient about all the things you can do in `openxlsx2`. The package is still under active development, though we have reached a semi stable API that will not change until the next major release.

We are quite fond of our little package and invite others to try it out and comment on what they like and of course what they think we are missing or if something doesn’t work. `openxlsx2` is a complex piece of software that certainly does not work bug-free, even if we did our best. If you want to contribute to the development of `openxlsx2`, please be our guest on our Github. Join or open a discussion, post or fix issues or write us a mail.