When I call xlsx::write.xlsx() on a tibble with 2+ rows it crashes:

df <- structure(list(`region name` = c("Reg 1", "Reg 2"), 
                     `value` = c(1.38755717255717, 1.26297588082289)), 
                row.names = c(NA, -2L), 
                class = c("tbl_df", "tbl", "data.frame")) 

xlsx::write.xlsx(df, file = "myfilename.xlsx", row.names = F, showNA = F)

and returns:

Error in if (is.na(value)) { : the condition has length > 1

1st option
If I call the same script setting default row.names = T it executes properly but adds an unneeded column with row number.

xlsx::write.xlsx(df, file = "myfilename.xlsx", 
    row.names = T, # I can skip the parameter
    showNA = F)

2nd option
If I pick only one row from the tibble the script executes entirely as expected.

xlsx::write.xlsx(df[1, ], file = file = "myfilename.xlsx", row.names = F, showNA = F)

3rd option
If I convert data to data frame it executes without an error but modifies column names due to data.frame restrictions:

xlsx::write.xlsx(data.frame(df), file = paste0(pthout,  "myfile.xlsx"), row.names = F, showNA = F)

Is it a bug in xlsx::write.xlsx() or I can do something with it?