[R] How to improve accuracy of output?

[Thierry Onkelinx]

Dear Maithreyi,

You need to read FAQ 7.31. 0.99 and 0.9899999999999 are equivalent. And
their difference is most likely not relevant.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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Op di 24 mei 2022 om 16:01 schreef maithili_shiva--- via R-help <
r-help using r-project.org>:

> Dear Forum
> In my code, I am trying to compute Value at risk.
> I have an issue as mentioned below:
> I have defined
>
>
> options(digits = 14)
> But my output is something like
> >  df$price
> [1] 98.7185273         103.10265923  ............
> However, if use Excel, I get values as
> 98.718527356108 103.10265923704
> and so on.
> Is there any way I can improve on R output accuracy.
> Problem is If I use
> options(digits = 20)
> I still get same prices as when I was using options(digits = 14) and on
> the other hand my confidence level value, which should be equal to 0.99,
> gets distorted to 0.989999999999 impacting  Value at Risk value.
> Please guide
> Regards
> Maithreyi
>         [[alternative HTML version deleted]]
>
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