[R] how to do inverse log of every value in every column in data frame

[Bert Gunter]

As all of your columns are numeric, you should probably convert your df to
a matrix. Then use exp() on that, of course:
exp(as.matrix(b))

see ?exp

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Thu, Oct 14, 2021 at 10:10 AM Ana Marija <sokovic.anamarija using gmail.com>
wrote:

> Hi All,
>
> I have a data frame like this:
>
> > head(b)
>      LRET02    LRET04    LRET06    LRET08    LRET10    LRET12    LRET14
> 1         0 0.6931472         . 1.0986123 1.0986123 1.0986123 0.6931472
> 2 2.1972246 2.4849066 2.4849066         . 2.5649494 2.6390573 2.6390573
> 3 1.6094379 1.7917595 1.6094379 1.7917595 2.0794415 1.9459101 2.0794415
> 4         0         0         0         0         0         0         0
> 5 0.6931472         0 1.0986123 1.0986123 0.6931472 0.6931472 0.6931472
> 6 1.0986123 1.0986123 1.0986123 0.6931472 1.0986123 1.3862944 1.0986123
>
> All values in this data frame are product of natural log. I have to do
> inverse of it.
> So for example do do inverse of 0.6931472 I would do:
> > 2.718281828^0.6931472
> [1] 2
>
> How do I perform this operation for every single value in this data frame?
>
> The original data frame is this dimension:
> > dim(b)
> [1] 1441   18
>
> Thanks
> Ana
>
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>
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