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Log plus one transformation in R

17 messages · Faradj Koliev, Spencer Graves, William Dunlap +7 more

#
Hi all, 

How do I perform log(x+1) in R? 

log1p_trans() from the package ?scales" doesn?t seem to work for me. 

Best, 
Faradj
#
"?log" includes documentation for "log1p" in the base package


       Will that work?


       Spencer Graves
On 12/12/2016 10:23 AM, Faradj Koliev wrote:
#
Faradj,
 
I all you need to do is
 
newvalue <- log(x+1)


John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
Hi all, 

How do I perform log(x+1) in R? 

log1p_trans() from the package ?scales" doesn?t seem to work for me. 

Best, 
Faradj
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#
log1p(x), in the base package computes log(1+x) accurately for small x (and
large).

E.g.,
[1] 9.99999999999995e-15
[1] 7.992778373591124e-18
precBits=1000))) - log1p(1e-14)
[1] 0


Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Mon, Dec 12, 2016 at 8:23 AM, Faradj Koliev <faradj.g at gmail.com> wrote:

            

  
  
#
> Hi all, How do I perform log(x+1) in R?

    > log1p_trans() from the package ?scales" doesn?t seem to
    > work for me.

amazing that you did not find  log1p()  in base R.
#
At the risk of being flamed . . .
What is the difference between log1p(x) and log(x+1)?
The two methods appear to give the same results:
[1] 1
John


John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
log1p(x), in the base package computes log(1+x) accurately for small x
(and
large).

E.g.,
[1] 9.99999999999995e-15
[1] 7.992778373591124e-18
precBits=1000))) - log1p(1e-14)
[1] 0


Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Mon, Dec 12, 2016 at 8:23 AM, Faradj Koliev <faradj.g at gmail.com>
wrote:
______________________________________________
R-help at 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.
Confidentiality Statement:
This email message, including any attachments, is for the sole use of
the intended recipient(s) and may contain confidential and privileged
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#
Read the help page more carefully.
#
The difference increases as the value gets closer to 0:
9.99999500000333e-07
9.99999499918067e-07
1.00000000008227
1.00000000607747
0.999999917259636
0.99991110732027
1.00079991719344

-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of John Sorkin
Sent: Monday, December 12, 2016 10:54 AM
To: faradj.g at gmail.com; r-help at r-project.org; wdunlap at tibco.com
Subject: Re: [R] Log plus one transformation in R

At the risk of being flamed . . .
What is the difference between log1p(x) and log(x+1)?
The two methods appear to give the same results:
[1] 1
John


John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
log1p(x), in the base package computes log(1+x) accurately for small x
(and
large).

E.g.,
[1] 9.99999999999995e-15
[1] 7.992778373591124e-18
precBits=1000))) - log1p(1e-14)
[1] 0


Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Mon, Dec 12, 2016 at 8:23 AM, Faradj Koliev <faradj.g at gmail.com>
wrote:
______________________________________________
R-help at 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.
Confidentiality Statement:
This email message, including any attachments, is for the sole use of
the intended recipient(s) and may contain confidential and privileged
information. Any unauthorized use, disclosure or distribution is
prohibited. If you are not the intended recipient, please contact the
sender by reply email and destroy all copies of the original message. 
______________________________________________
R-help at 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.
#
David,
 
I did read the help page. All it says is
log1p(x) computes log(1+x) accurately also for |x| << 1 (and less
accurately when x is approximately -1). 
This gives me pause. Does it mean that log(x) does not give accurate
results? If log1p gives more accurate values than log, why is the log
function not written to use the more accurate computation performed by
log1p. I don't believe I can look directly at the code for log and
log1p, so I need to rely on the kindness of others to explain the
differences between the computations performed by the functions. I guess
the test I ran, log1p(0.000001)/log(0.000001+1), did not have enough
precision to demonstrate a difference between the two functions.
John



John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and
Geriatric Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
wrote:
Read the help page more carefully.
#
Print more digits of the quotient or subtract one from it and you will see
the difference:
[1] 8.22666379463044e-11


Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Mon, Dec 12, 2016 at 8:53 AM, John Sorkin <jsorkin at grecc.umaryland.edu>
wrote:
#
The problem is that 1+x does not give accurate results for small x:
    > (1+1e-17) == 1
   [1] TRUE


Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Mon, Dec 12, 2016 at 9:26 AM, John Sorkin <jsorkin at grecc.umaryland.edu>
wrote:
#
Not true. You evidently did not run the examples.
#
Numerical accuracy in floating point math is a much broader discussion than R, but [1] seems to summarize it reasonably well. There are whole courses on this topic at university. 

[1] http://www.johndcook.com/blog/2010/06/07/math-library-functions-that-seem-unnecessary/
#
And, for crying out loud... just try it with x = 1.234e-16 or so. One would think that the hint |x| << 1 was obvious enough.

-pd

  
    
#
Many thanks! 

logp1(x) worked just fine.

Best,
Faradj

Skickat fr?n min iPhone
#
On 12/12/2016 12:26 PM, John Sorkin wrote:
I don't think anyone has directly answered these questions.  The problem 
isn't with log(), it's with the representation of floating point numbers 
in R.  The log of 1 + 10^(-100) is very close to 10^(-100), but since 1 
+ 1e-100 evaluates to 1 (we only keep 15 or 16 digits of precision), 
log(1 + 1e-100) will come out as zero.  On the other hand, log1p(1e-100) 
evaluates correctly to 1e-100.
R is open source, so you could, but those are likely coming from system 
libraries, so it isn't easy to see how the approximations are being done.

Duncan Murdoch
#
Duncan,
Thank you. You are correct no one answered my question , despite the fact that several people reply to my email, until you replied. Your exclamation is quite clear and I thank you for your kindness. I did not pursue my question any further as I was concerned that I would be flamed.
John
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This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.