How to create vector (10^16 + 1, 10^16 + 2, … , 10^16 + 1000) using R?











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I would like to create the following vector (10^16 + 1, 10^16 + 2, ... , 10^16 + 1000).
But if I try it like this:



daten <- rep(1e+16,1000)
daten + 1:1000


It gives me just an approximation:



[1] 10000000000000000 10000000000000002 10000000000000004 10000000000000004
[5] 10000000000000004 10000000000000006 10000000000000008 10000000000000008
[9] 10000000000000008 10000000000000010 10000000000000012 10000000000000012
[13] 10000000000000012 10000000000000014 10000000000000016 10000000000000016
......


How can I get R to calculate more precise ?
Thank you










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  • How much more precise?
    – Rich Scriven
    Nov 10 at 16:20












  • R is not (at least out of the box) an arbitrary precision calculator. In your example you are dealing with floating point arithmetic. en.wikipedia.org/wiki/IEEE_754#Basic_formats
    – jogo
    Nov 10 at 16:21












  • @Rich Scriven: so that the last digit is correct
    – Joshua
    Nov 10 at 16:31















up vote
0
down vote

favorite
1












I would like to create the following vector (10^16 + 1, 10^16 + 2, ... , 10^16 + 1000).
But if I try it like this:



daten <- rep(1e+16,1000)
daten + 1:1000


It gives me just an approximation:



[1] 10000000000000000 10000000000000002 10000000000000004 10000000000000004
[5] 10000000000000004 10000000000000006 10000000000000008 10000000000000008
[9] 10000000000000008 10000000000000010 10000000000000012 10000000000000012
[13] 10000000000000012 10000000000000014 10000000000000016 10000000000000016
......


How can I get R to calculate more precise ?
Thank you










share|improve this question









New contributor




Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • How much more precise?
    – Rich Scriven
    Nov 10 at 16:20












  • R is not (at least out of the box) an arbitrary precision calculator. In your example you are dealing with floating point arithmetic. en.wikipedia.org/wiki/IEEE_754#Basic_formats
    – jogo
    Nov 10 at 16:21












  • @Rich Scriven: so that the last digit is correct
    – Joshua
    Nov 10 at 16:31













up vote
0
down vote

favorite
1









up vote
0
down vote

favorite
1






1





I would like to create the following vector (10^16 + 1, 10^16 + 2, ... , 10^16 + 1000).
But if I try it like this:



daten <- rep(1e+16,1000)
daten + 1:1000


It gives me just an approximation:



[1] 10000000000000000 10000000000000002 10000000000000004 10000000000000004
[5] 10000000000000004 10000000000000006 10000000000000008 10000000000000008
[9] 10000000000000008 10000000000000010 10000000000000012 10000000000000012
[13] 10000000000000012 10000000000000014 10000000000000016 10000000000000016
......


How can I get R to calculate more precise ?
Thank you










share|improve this question









New contributor




Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











I would like to create the following vector (10^16 + 1, 10^16 + 2, ... , 10^16 + 1000).
But if I try it like this:



daten <- rep(1e+16,1000)
daten + 1:1000


It gives me just an approximation:



[1] 10000000000000000 10000000000000002 10000000000000004 10000000000000004
[5] 10000000000000004 10000000000000006 10000000000000008 10000000000000008
[9] 10000000000000008 10000000000000010 10000000000000012 10000000000000012
[13] 10000000000000012 10000000000000014 10000000000000016 10000000000000016
......


How can I get R to calculate more precise ?
Thank you







r precision mantissa






share|improve this question









New contributor




Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




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edited Nov 10 at 16:12









Harro Cyranka

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896313






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asked Nov 10 at 16:03









Joshua

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34




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Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Joshua is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • How much more precise?
    – Rich Scriven
    Nov 10 at 16:20












  • R is not (at least out of the box) an arbitrary precision calculator. In your example you are dealing with floating point arithmetic. en.wikipedia.org/wiki/IEEE_754#Basic_formats
    – jogo
    Nov 10 at 16:21












  • @Rich Scriven: so that the last digit is correct
    – Joshua
    Nov 10 at 16:31


















  • How much more precise?
    – Rich Scriven
    Nov 10 at 16:20












  • R is not (at least out of the box) an arbitrary precision calculator. In your example you are dealing with floating point arithmetic. en.wikipedia.org/wiki/IEEE_754#Basic_formats
    – jogo
    Nov 10 at 16:21












  • @Rich Scriven: so that the last digit is correct
    – Joshua
    Nov 10 at 16:31
















How much more precise?
– Rich Scriven
Nov 10 at 16:20






How much more precise?
– Rich Scriven
Nov 10 at 16:20














R is not (at least out of the box) an arbitrary precision calculator. In your example you are dealing with floating point arithmetic. en.wikipedia.org/wiki/IEEE_754#Basic_formats
– jogo
Nov 10 at 16:21






R is not (at least out of the box) an arbitrary precision calculator. In your example you are dealing with floating point arithmetic. en.wikipedia.org/wiki/IEEE_754#Basic_formats
– jogo
Nov 10 at 16:21














@Rich Scriven: so that the last digit is correct
– Joshua
Nov 10 at 16:31




@Rich Scriven: so that the last digit is correct
– Joshua
Nov 10 at 16:31












1 Answer
1






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up vote
1
down vote



accepted










The Rmpfr package allows you as much precision as you need. Create numbers using the mpfr function, specifying the value + the number of bits of precision you need.



library(Rmpfr)
daten <- mpfr(1:1000, 120)
daten <- daten + mpfr(1e16, 120)
print(daten[1:5])


This yields the following:



5 'mpfr' numbers of precision  120   bits 
[1] 10000000000000001 10000000000000002 10000000000000003 10000000000000004 10000000000000005





share|improve this answer





















  • thank you very much
    – Joshua
    Nov 10 at 16:56











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
1
down vote



accepted










The Rmpfr package allows you as much precision as you need. Create numbers using the mpfr function, specifying the value + the number of bits of precision you need.



library(Rmpfr)
daten <- mpfr(1:1000, 120)
daten <- daten + mpfr(1e16, 120)
print(daten[1:5])


This yields the following:



5 'mpfr' numbers of precision  120   bits 
[1] 10000000000000001 10000000000000002 10000000000000003 10000000000000004 10000000000000005





share|improve this answer





















  • thank you very much
    – Joshua
    Nov 10 at 16:56















up vote
1
down vote



accepted










The Rmpfr package allows you as much precision as you need. Create numbers using the mpfr function, specifying the value + the number of bits of precision you need.



library(Rmpfr)
daten <- mpfr(1:1000, 120)
daten <- daten + mpfr(1e16, 120)
print(daten[1:5])


This yields the following:



5 'mpfr' numbers of precision  120   bits 
[1] 10000000000000001 10000000000000002 10000000000000003 10000000000000004 10000000000000005





share|improve this answer





















  • thank you very much
    – Joshua
    Nov 10 at 16:56













up vote
1
down vote



accepted







up vote
1
down vote



accepted






The Rmpfr package allows you as much precision as you need. Create numbers using the mpfr function, specifying the value + the number of bits of precision you need.



library(Rmpfr)
daten <- mpfr(1:1000, 120)
daten <- daten + mpfr(1e16, 120)
print(daten[1:5])


This yields the following:



5 'mpfr' numbers of precision  120   bits 
[1] 10000000000000001 10000000000000002 10000000000000003 10000000000000004 10000000000000005





share|improve this answer












The Rmpfr package allows you as much precision as you need. Create numbers using the mpfr function, specifying the value + the number of bits of precision you need.



library(Rmpfr)
daten <- mpfr(1:1000, 120)
daten <- daten + mpfr(1e16, 120)
print(daten[1:5])


This yields the following:



5 'mpfr' numbers of precision  120   bits 
[1] 10000000000000001 10000000000000002 10000000000000003 10000000000000004 10000000000000005






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answered Nov 10 at 16:31









Edward Carney

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  • thank you very much
    – Joshua
    Nov 10 at 16:56


















  • thank you very much
    – Joshua
    Nov 10 at 16:56
















thank you very much
– Joshua
Nov 10 at 16:56




thank you very much
– Joshua
Nov 10 at 16:56










Joshua is a new contributor. Be nice, and check out our Code of Conduct.










 

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