lexl separates Excel formulas into tokens of different types, and gives their depth within a nested formula. Its name is a bad pun on 'Excel' and 'lexer'. Try the online demo or run demo_lexl() locally.

You can install lexl from github with:

# install.packages("devtools")
devtools::install_github("nacnudus/lexl")

library(lexl)
x <- lex_xl("MIN(3,MAX(2,A1))")
x
#>    level      type token
#> 1      0  function   MIN
#> 2      0  fun_open     (
#> 3      1    number     3
#> 4      1 separator     ,
#> 5      1  function   MAX
#> 6      1  fun_open     (
#> 7      2    number     2
#> 8      2 separator     ,
#> 9      2       ref    A1
#> 10     1 fun_close     )
#> 11     0 fun_close     )

plot(x) # Requires the ggraph package

Not all parse trees are the same. The one given by lex_xl() is intended for analysis, rather than for computation. Examples of the kind of analysis that it might support are:

• Detecting constants that have been embedded inside formulas, rather than in cells referred to by formulas.
• Revealing which functions and combinations of functions are most common.
• Untangling the dependencies between cells in a spreadsheet.

The tidyxl package imports formulas from xlsx (spreadsheet) files.

The Enron corpus contains thousands of real-life spreadsheets.

Research by Felienne Hermans inspired this package, and the related XLParser project was a great help in creating the grammar.