**Econometrics and Free Software**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Sometimes it is useful to export the output of a long-running R command. For example, you might want to run a time consuming regression just before leaving work on Friday night, but would like to get the output saved inside your Dropbox folder to take a look at the results before going back to work on Monday.

This can be achieved very easily using `capture.output()`

and `cat()`

like so:

```
out <- capture.output(summary(my_very_time_consuming_regression))
cat("My title", out, file="summary_of_my_very_time_consuming_regression.txt", sep="n", append=TRUE)
```

`my_very_time_consuming_regression`

is an object of class `lm`

for example. I save the output of `summary(my_very_time_consuming_regression)`

as text using `capture.output`

and save it in a variable called `out`

. Finally, I save `out`

to a file called `summary_of_my_very_time_consuming_regression.txt`

with the first sentence being `My title`

(you can put anything there). The file `summary_of_my_very_time_consuming_regression.txt`

doesn’t have to already exist in your working directory. The option `sep="\n"`

is important or else the whole output will be written in a single line. Finally, `append=TRUE`

makes sure your file won’t be overwritten; additional output will be appended to the file, which can be nice if you want to compare different versions of your model.

**leave a comment**for the author, please follow the link and comment on their blog:

**Econometrics and Free Software**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.