Hi
The problem is that people using Excel or probably other such spreadsheets do
not encounter this behaviour as Excel silently rounds all your calculations and
makes approximate comparison without telling it does so. Therefore most people
usually do not have any knowledge of floating point num
Also note that we see the same thing in Ruby:
irb(main):001:0> 100*(23/40)
=> 0
irb(main):002:0> 100.0*(23.0/40.0)
=> 57.49
irb(main):003:0> (100.0*23.0)/40.0
=> 57.5
and in C:
hpages@latitude:~$ cat test.c
#include
main() {
printf("%.15f\n", 100.0 * (23.0 / 4
Use all.equal(tolerance=0, aa, bb) to check for exact equality:
> aa <- 100*(23/40)
> bb <- (100*23)/40
> all.equal(aa,bb)
[1] TRUE
> all.equal(aa,bb,tolerance=0)
[1] "Mean relative difference: 1.235726e-16"
> aa < bb
[1] TRUE
The numbers there are rounded to 52 binary dig
I don't think this is on topic either here or on R-package-devel... it should
go back to R-devel of you can provide a compelling argument for making the
change.
That said, I still feel you are chasing a non-problem. The original directories
generally don't even exist on the original computer a
I would have thunk that the right list would be
https://stat.ethz.ch/mailman/listinfo/r-package-devel
Best
David
Sent from my iPhone
> On Apr 19, 2017, at 3:40 PM, Philip Rinn wrote:
>
> Hi,
>
>> On 12.04.2017 at 08:09, Jeff Newmiller wrote:
>>
>> Someone might respond here anyway, but I t
Since you are generating html you can use html syntax.
You might also be interested in the ReportR package.
--
Sent from my phone. Please excuse my brevity.
On April 20, 2017 2:30:43 PM PDT, BR_email wrote:
>David:
>All is perfect, almost - after I ran your corrections.
>Is there a way I can h
I might add that things that *look* like integers in R are not really
integers, unless you explicitly label them as such:
> str(20)
num 20
> str(20.5)
num 20.5
> str(20L)
int 20
>
I think that Python 2 will do integer arithmetic on things that look
like integers:
$ python2
.
.
.
>>> 30 / 20
This is FAQ 7.31. It is not a bug, it is the unavoidable problem of accurately
representing floating point numbers with a finite number of bits of precision.
Look at the following:
> a <- 100*(23/40)
> b <- (100*23)/40
> print(a,digits=20)
[1] 57.493
> print(b,digits=20)
[1] 57.5
>
Hello, R friends
My student unearthed this quirk that might interest you.
I wondered if this might be a bug in the R interpreter. If not a bug,
it certainly stands as a good example of the dangers of floating point
numbers in computing.
What do you think?
> 100*(23/40)
[1] 57.5
> (100*23)/40
[1
David:
All is perfect, almost - after I ran your corrections.
Is there a way I can have more control of the column names, i.e.,
not be restricted to abbreviations headings, and center-justify?
Thanks a lot, nice.
Bruce
David L Carlson wrote:
#1 You can remove the rownames by adding the argu
David:
Thanks so much. I will recode and let you know how it works out.
Bruce
__
Bruce Ratner PhD
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analytics -- www.DMSTAT1.com
Machine-Learning Data Mining -- www.GenIQ.net
> On Apr 20, 2017, at 4:31 PM, David L Ca
#1 You can remove the rownames by adding the argument include.rownames=FALSE to
print.xtable():
print.xtable(DECILE_TABLE, type="html",file="DecileTable.html",
include.rownames=FALSE)
#2 Prevent data.frame from converting the first column to a factor and use NAs
for the columns where you don't
Duncan: Thanks. I've exhausted my search for a simple table package that also
allows for column sums. If you are not familiar with the decile table, you will
find it quite embedded with much insight for predominance of virtually any
model.
Regards,
Bruce
__
Bruce Ratner PhD
The Sig
On 20/04/2017 1:09 PM, BR_email wrote:
R-helper:
Below, code for generating a decile table.
I am using the xtable package, but it is not quite right for the output.
Issue #1. xtable inserts an unwanted column, before the first derived
column DECILE
Issue #2. In the last line "Total" I manually su
R-helper:
Below, code for generating a decile table.
I am using the xtable package, but it is not quite right for the output.
Issue #1. xtable inserts an unwanted column, before the first derived
column DECILE
Issue #2. In the last line "Total" I manually sum all columns, even
though I only want
A simple explanation inevitably omits information. Whether the omitted
information would have been useful to you is something only you can judge,
which means you end up having to review the details anyway. Hadley Wickham's
Advanced R is worth Googling, and don't forget to RTFM.
In a nutshell, S
Hi
The problem is in your function, not in by.
> dstats(mtcars[,c('mpg', 'hp')])
Error in is.data.frame(x) :
(list) object cannot be coerced to type 'double'
In addition: Warning message:
In mean.default(x) : argument is not numeric or logical: returning NA
>
Your function expects vector but y
> It seems a bit dumb that warning.expression functions can only say
> "Hey, something a bit iffy may have ocurred, but I dont know what and I
> dont know where!". Maybe there's something in that cptr->cloenv that can
> tell you...
The way that I intend to begin using this is with non-standar
Hi
can any one explain the difference between s4 and s3 classes in R in a
simple way?
__
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https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.
hi, I practice R programing by the step in <>;
when i test by function, i get error like these;
call for help!
dstats <- function(x){c(mean=mean(x), sd=sd(x))}
> by(mtcars[,c('mpg', 'hp')], mtcars$am, dstats)
Show Traceback
Rerun with Debug
Error in is.data.frame(x) :
(list) object canno
Hi,
Am 20.04.2017 um 00:32 schrieb Jeff Newmiller:
> I think we are (I certainly am) going to need a more concrete example. As in,
> point us at a specific package and filename in this package that illustrates
> your concern. Such precision would also be expected on R-devel, so the lack of
> respo
Hi,
On 12.04.2017 at 08:09, Jeff Newmiller wrote:
> Someone might respond here anyway, but I think this is more of an R-devel
> question.
I tired R-devel before[1] with no response :(.
> Anyway, as long as the package file after installation has appropriate file
> names for where it is installe
Hi I am new with R.Currently I am using time series forecasting to do daily
forecasting for predicting request per day.The dataset which i am using has
unevenly spaced date a snapshot of dataset is given below I have to find
the best model which can help me in predicting the future request which
Hi Prateek,
maybe facet_* with ggplot is what you are looking for
HTH
Ulrik
On Thu, 20 Apr 2017 at 13:24 prateek pande wrote:
> HI Hasan,
>
> Thanks for sharing the solution. Really appreciate it.
>
> But i was reading somewhere that we cannot use par with ggplot 2 . we can
> only use grid ext
HI Hasan,
Thanks for sharing the solution. Really appreciate it.
But i was reading somewhere that we cannot use par with ggplot 2 . we can
only use grid extra to have multiple plots in a single view.
Is it right?
Regards
Prateek
On Thu, Apr 20, 2017 at 10:47 AM, Hasan Diwan wrote:
> Prateek,
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