I'm writing a quite large document in Rmarkdown which has financial data in it.
I format that data using scales::dollar() currently something like this:
>
> require (scales)
> x = 10
> cat (dollar (x, prefix ="£", big.mark=","))
£100,000
But actually, I'd quite like to get £100k out in tha
for
> > findInterval()
> >
> > > lut = seq(1.4, 2.1, by=0.001)
> > > findInterval(1.8, lut)
> > [1] 401
> >
> > findInterval() uses a rapid search to find the index in the look up
> > table (lut) that is just less than or equal to the search
alue (in your
> example 1.8).
>
> Cheers,
> Ben
>
> > On Jan 17, 2019, at 8:33 AM, POLWART, Calum (COUNTY DURHAM AND
> DARLINGTON NHS FOUNDATION TRUST) via R-help
> wrote:
> >
> > I am using seq with the expression seq(1.4, 2.1, by=0.001) to create
> > a seq
I am using seq with the expression seq(1.4, 2.1, by=0.001) to create a sequence
of references from 1.4 to 2.1 in 0.001 increments. They appear to be created
correctly. They have a related pair of data which for the purposes of this we
will call val. I'm interested in the content on the row wi
Before I go and do this another way - can I check if anyone has a way of
looping through data in odfWeave (or possibly sweave) to do a repeating
analysis on subsets of data?
For simplicity lets use mtcars dataset in R to explain. Dataset looks like
this:
> mtcars
mpg cyl disp
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