R: Writing data frame into excel with large number of rows

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I have a data frame (panel form) in R with 194498 rows and 7 columns. I want to write it to an Excel file (.xlsx) using function res <- write.xlsx(df, output) but R goes in the coma (keeps showing stop sign on the top left of console) without making any change in the targeted file(output). Finally shows following: Error in .jcheck(silent = FALSE) : Java Exception <no description because toString() failed>.jcall(row[[ir]], "Lorg/apache/poi/ss/usermodel/Cell;", "createCell", as.integer(colIndex[ic] - 1))<S4 object of class "jobjRef"> I have loaded readxl and xlsx packages. Please suggest to fix it. Thanks.

r excel
3 Answers

  1. In addition to Pete's answer I wouldn't recommend write.csv because it takes or can take minutes to load. I used fwrite() (from data.table library) and it did the same thing in about 1-2 secs.

  2. The post author asked about large files. I dealt with a table about 2,3 million rows long and write.data (and frwrite) aren't able to write more than about 1 million rows. It just cuts the data away. So instead use write.table(Data, file="Data.txt"). You can open it in Excel and split the one column by your delimiter (use argument sep) and voila!

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