Here's a tip for the original poster.
> ?numeric
and then follow the link it suggests
> ?double
which says amongst other things
All R platforms are required to work with values conforming to the
IEC 60559 (also known as IEEE 754) standard. This basically works
with a precision of
> R by default uses floating-point arithmetic, which
> is subject to problems described in [*].
Yes.
I want to note that both graphics and modern statistics, require
efficient floating point arithmetic.
So, R does what it's designed to do...
__
Your numbers are 70 bits long, R double precision numbers are 53 bits long.
You need Rmpfr to get the higher precision.
> log(569936821221962380720, 2)
[1] 68.94936
> print(569936821221962380720, digits=22)
[1] 569936821221962350592
> library(Rmpfr)
> mpfr("569936821221962380720", 70)
1 'mpfr'
On Wed, 18 Sep 2019 00:02:47 +0200
Martin Møller Skarbiniks Pedersen wrote:
> I know I can use gmp and R will do it correctly.
Which is equivalent to what Python does: it uses so-called long
arithmetic, allowing scalar variables with as many digits as it fits in
the computer memory. R by
On 17/09/2019 6:02 p.m., Martin Møller Skarbiniks Pedersen wrote:
Hi,
I don't understand why R computes this wrong.
This is pretty well documented. R uses double precision floating point
values for these expressions, which have about 15 digit precision. I
believe for whole numbers
Hi,
I don't understand why R computes this wrong. I know I can use gmp and
R will do it correctly.
$ echo '569936821221962380720^3 + (-569936821113563493509)^3 +
(-472715493453327032)^3' | Rscript - [1] -4.373553e+46
Correct answer is 3 and Python can do it:
$ echo
uestion is this can I do everything in R and Python and SAS studio
> that I did in SPSS and the paid variation of SAS we used in doctoral
> statistics class?
> Can I do in Stat in R or Python or SAS studio
> everything I need to do in multiple regression; ANOVA; ANCOVA etc
> ?
I am a mature learner; 3 masters
some doctoral work “ statistics for social sciences; psychological statistics “
worked in spss and sas 2005 – 2006
now have forgotten ; relearning
my question is this can I do everything in R and Python and SAS studio
that I did in SPSS and the paid variation
depending on what you want.
if you'd like to run r within python, there are 2 solutions as far as i've
known, either by rpys or by pyper.
here is a brief comparison i did before
https://statcompute.wordpress.com/2012/12/10/a-brief-comparison-between-rpy2-and-pyper/
On Sun, Mar 1, 2015 at 8:41 AM
Is there any good example codes of integrating R and Python?
Thanks.
Linda
[[alternative HTML version deleted]]
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PLEASE do read
You mean like rPython? Or rpy? Or rpy2?
Googling R Python is a great place to start.
Sarah
On Sun, Mar 1, 2015 at 9:41 AM, linda.s samrobertsm...@gmail.com wrote:
Is there any good example codes of integrating R and Python?
Thanks.
Linda
--
Sarah Goslee
http://www.functionaldiversity.org
for munging data in python and then passing it off to R
for calculations.
Collin.
On Sun, Mar 1, 2015 at 10:17 AM, Sarah Goslee sarah.gos...@gmail.com
wrote:
You mean like rPython? Or rpy? Or rpy2?
Googling R Python is a great place to start.
Sarah
On Sun, Mar 1, 2015 at 9:41 AM, linda.s
series analysis (xts, zoo,
etc) and for my next project I am thinking of adding the Python language to
the mix. The reason for adding Python is primarily its non-statistical
capabilities.
So my questions are what have people's experiences been with using interop
between R and Python. I see
-statistical
capabilities.
So my questions are what have people's experiences been with using interop
between R and Python. I see there are two items, rPy and RSPython. It looks
like rPy makes it possible to call R code from Python, and RSPython goes
both ways. My needs would be to use Python
I use both python and R, but decided not to mix the two. I'd rather work
directly in R for statistics, visual displays, etc. I really like python for
pre-processing data, some preliminary data organization, and XML capes.
-Original Message-
From: r-help-boun...@r-project.org
-statistical
capabilities.
So my questions are what have people's experiences been with using interop
between R and Python. I see there are two items, rPy and RSPython. It
looks
like rPy makes it possible to call R code from Python, and RSPython goes
both ways. My needs would be to use Python
Hi,
It looks like SAGE might be another option,
http://www.sagemath.org/index.html
though I never tried it.
HTH,
baptiste
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PLEASE do read the posting guide
with using interop
between R and Python. I see there are two items, rPy and RSPython. It looks
like rPy makes it possible to call R code from Python, and RSPython goes
both ways. My needs would be to use Python to drive R to get it's extensive
time series and stats, and also to get to Python objects from
with using interop
between R and Python. I see there are two items, rPy and RSPython. It looks
like rPy makes it possible to call R code from Python, and RSPython goes
both ways. My needs would be to use Python to drive R to get it's extensive
time series and stats, and also to get to Python objects from
Hi,
Has anyone run any R vs Python (numpy) tests?
I'd love to see what the differences performance-wise are, specially
handling large sparse matrices.
Since both rely on external C code, there might not be much of a
difference.
If you know and use both languages, what are the main
JQ == Jose Quesada [EMAIL PROTECTED]
on Sat, 06 Dec 2008 12:28:34 +0100 writes:
JQ Hi, Has anyone run any R vs Python (numpy) tests? I'd
JQ love to see what the differences performance-wise are,
JQ specially handling large sparse matrices. Since both
JQ rely on external C
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