Hello,
Inline.
Às 17:18 de 08/06/20, Neha gupta escreveu:
I am still waiting for someone to respond.
If someone want to help other, they do not need a special platform for it.
Thank you, yet again for not helping.
1. You have waited 41 minutes.
2. You have not posted data and code.
3. Read the posting guide, please. It's not the first time you post
questions, and this one does *not* give enough information for anyone to
answer.
4. I wonder how you can have two models, NN and SVM, and run
boxplot(NN, SVM)
without error. Given the problem description, the code line above simply
doesn't make sense.
So it's not our fault if you are not getting answers.
Do read the posting guide, please.
Rui Barradas
Regards
On Mon, Jun 8, 2020 at 5:41 PM Bert Gunter <bgunter.4...@gmail.com> wrote:
Largely off topic here. RStudio has Help forums on ggplot and other of its
R software products. Post there.
Or on stats.stackexchange.com perhaps for questions about how to
visualize statistical data.
See the posting guide linked below for what is ON topic here.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Jun 8, 2020 at 8:38 AM Neha gupta <neha.bologn...@gmail.com>
wrote:
I have a model NN, which has 10 piece of data in 10 folds of test (ts)
data
such as 0.1, 0.5, 0.3 etc.
And another model SVM, which also have this type of information. I usually
visualize it like:
I have two questions?
(1) I want to ask how can I visualize them via ggplot?
(2) If I have to process it again on another dataset, then how can I
combine these two boxplots in order to make a better prediction.
Regards
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
