**Econometrics and Free Software**, and kindly contributed to R-bloggers)

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.

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**Econometrics and Free Software**.

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