This R package is a modern reinterpretation of the widely used popular
openxlsx package. Similar to its predecessor, it simplifies the creation of xlsx files by providing a clean interface for writing, designing and editing worksheets. Based on a powerful XML library and focusing on modern programming flows in pipes or chains,
openxlsx2 allows to break many new ground.
You can install the stable version of
You can install the development version of
openxlsx2 from GitHub with:
# install.packages("remotes") remotes::install_github("JanMarvin/openxlsx2")
Or from r-universe with:
openxlsx2 aims to be the swiss knife for working with the openxml spreadsheet formats xlsx, xlsm and (limited) xlsb (other formats of other spreadsheet software are not supported). We offer two different variants how to work with
- The first one is to simply work with R objects. It is possible to read (
read_xlsx()) and write (
write_xlsx()) data from and to files. We offer a number of options in the commands to support various features of the openxml format, including reading and writing named ranges and tables. Furthermore, there are several ways to read certain information of an openxml spreadsheet without having opened it in a spreadsheet software before, e.g. to get the contained sheet names or tables.
- As a second variant
openxlsx2offers the work with so called
wbWorkbookobjects. Here an openxml file is read into a corresponding
wb_load()) or a new one is created (
wb_workbook()). Afterwards the object can be further modified using various functions. For example, worksheets can be added or removed, the layout of cells or entire worksheets can be changed, and cells can be modified (overwritten or rewritten). Afterwards the
wbWorkbookobjects can be written as openxml files and processed by suitable spreadsheet software.
vignette(package = "openxlsx2")
This is a basic example which shows you how to solve a common problem:
library(openxlsx2) # read xlsx or xlsm files path <- system.file("extdata/openxlsx2_example.xlsx", package = "openxlsx2") read_xlsx(path) #> 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> # or import workbooks wb <- wb_load(path) wb #> A Workbook object. #> #> Worksheets: #> Sheets: Sheet1, Sheet2 #> Write order: 1, 2 # read a data frame wb_to_df(wb) #> 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> # and save temp <- temp_xlsx() if (interactive()) wb_save(wb, temp) ## or create one yourself wb <- wb_workbook() # add a worksheet wb$add_worksheet("sheet") # add some data wb$add_data("sheet", cars) # open it in your default spreadsheet software if (interactive()) wb$open()
For a full list of all authors that have made this package possible and for whom we are greatful, please see:
system.file("AUTHORS", package = "openxlsx2")
If you feel like you should be included on this list, please let us know. If you have something to contribute, you are welcome. If something is not working as expected, open issues or if you have solved an issue, open a pull request. Please be respectful and be aware that we are volunteers doing this for fun in our unpaid free time. We will work on problems when we have time or need.