Dear Jeff,
This is great to me!!! Many, many thanks.
I have also clicked the send plain text mode button and I hope this
message will appear in plain text mode.
Thanks again.
Warmest regards.
Ogbos
On Wed, Nov 28, 2018 at 7:06 AM Jeff Newmiller wrote:
>
> Thank you for providing a clarifying
interesting. this looks like an OS problem, since ?round says
‘round’ rounds the values in its first argument to the specified
number of decimal places (default 0). See ‘Details’ about “round
to even” when rounding off a 5.
Details
Note that for rounding off a 5, the IEC 60559
On 28/11/2018 8:49 AM, Philipp Upravitelev wrote:
Dear colleagues,
could you help me with the function base::round()? I can't understand how
it works.
For example, when I want to round 0.015 to the second digit, base::round()
returns 0.02.
But the real representation of the 0.015 is different:
Hello,
Your assumption that you can sprintf with 20 digits of precision is
wrong, you only have 16 decimal digits. And
sprintf('%.16f', 0.015)
#[1] "0.0150"
0.015 == 0.0150
#[1] TRUE
This rounds to the nearest even number, 0.02 (IEEE-754).
Hope this helps,
Rui Barra
Hello,
Your code works but I suggest the following:
1) Instead of loading reshape2 to be used just once
longData <- reshape2::melt(myData)
2) In the call to geom_text, aes() will find the x, y, etc values:
zp1 + geom_text(data=test2, aes(x = con, y = Prob, label = Project, size
= 6, color =
Hello,
What have you tried?
Reproducible example please.
http://adv-r.had.co.nz/Reproducibility.html
https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
https://www.r-bloggers.com/minimal-reproducible-examples/
Rui Barradas
Às 22:33 de 27/11/2018, Janh Anni
Dear colleagues,
could you help me with the function base::round()? I can't understand how
it works.
For example, when I want to round 0.015 to the second digit, base::round()
returns 0.02.
But the real representation of the 0.015 is different:
> sprintf('%.20f', 0.015)
[1] "0.0149994
Hi Andika,
We don't do homework on this list, and your question is a statistics
question rather than an R question anyway.
That said, googling "interpreting BIC" should get you going, if
talking to your professor and reading your textbook haven't helped.
Sarah
On Wed, Nov 28, 2018 at 11:30 AM A
Hi there,
I am trying to compare result of BIC (Bayesian Information Criterion)
between Expectation-Maximization (EM) and Linear Regression (LR) Algorithm
on "Hotel Occupancy" data using R, for my college task.
The data contains data occupancy percentage from January to December 2017,
based on is
No attached file. R-help is very fussy about what kind of file it will accept,
A txt or pdf is the best bet. On the other hand it usually is best to include
any code and sample data in the actual e-mail. Use the function dput() as the
best way to supply data.
On Thursday, November 22, 2018
Hi,
Sarah Goslee (jn reply to Basic optimization question (I'm a rookie)):
"R is quite good at optimization."
I wonder what is the experience of the R user community with high
dimensional problems, various objective functions and various numerical
methods in R.
In my experience with my p
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