Rio ggplot2 not giving expected results about data-science-at-the-command-line HOT 8 CLOSED

Thanks. Two questions:

• Are you running this inside the Data Science Toolbox?
• What's the output when you also specify the -v option (for verbose)?

from data-science-at-the-command-line.

The VM? no, not yet. But I do want to make these tools work on my laptop for my own purposes.

Second, here is the -v output:

$ <data/tips.csv Rio -vge 'g+geom_bar(aes(factor(size)))'
ARGUMENT '',~+~file='/var/folders/4s/gd5gw2bd2n16njbfqsg0j5yc0000gn/T/Rio-lsJSNNvK.png')}else~+~if(exists('is.ggplot')&&is.ggplot(last)){ggsave('/var/folders/4s/gd5gw2bd2n16njbfqsg0j5yc0000gn/T/Rio-lsJSNNvK.png',last,dpi=72,units='cm',width=20,height=15);}else{sink('/var/folders/4s/gd5gw2bd2n16njbfqsg0j5yc0000gn/T/Rio-lsJSNNvK.png');print(last);}' __ignored__

Loading required package: ggplot2
Loading required package: methods
cat: /var/folders/4s/gd5gw2bd2n16njbfqsg0j5yc0000gn/T/Rio-cJIuYzF7.err: No such file or directory

And that is the location of my $TMPDIR:

$ echo $TMPDIR
/var/folders/4s/gd5gw2bd2n16njbfqsg0j5yc0000gn/T/

So I'm not sure what the file or directory that is missing is.

from data-science-at-the-command-line.

Understandable, but I haven't tested these tools on anything other than GNU/Linux. Are you on Mac OS X by any chance?

from data-science-at-the-command-line.

Yes I am, I should have stated that. I'll try and root out a solution as
well.

from data-science-at-the-command-line.

So, I created this pull request that solved my problem on Mac, I think it should be compatible with Linux as well, but will leave for you now to see if it works in your stack. Also solved second problem in that pull, which I think you probably had in Linux as well, where you created some extra files with the mktemp call inadvertently, and they probably were not getting cleaned up.

Original pull request #17 had error, I closed that, opened new one below.

FIxed pull request: #18

from data-science-at-the-command-line.

Fixed now.

from data-science-at-the-command-line.

Thank you!

from data-science-at-the-command-line.

Thank you!

from data-science-at-the-command-line.