Hi Neha,
One sure cure for divide by zero is to omit zeros in the denominator variable.
num<-sample(0:10,20,TRUE)
denom<-sample(0:10,20,TRUE)
zeros<-denom == 0
num[!zeros]/denom[!zeros]
If you don't want to lose those data and there are no negative values,
you could add a small number to all deno
Dear Paul,
This looks like a version of the question you asked a couple of weeks
ago. As I explained then, I'm pretty sure that you want concentration
(i.e., data) ellipses and not confidence ellipses, which pertain to
parameters (e.g., regression coefficients). Also, the hand-drawn
concentra
> Rui Barradas
> on Tue, 25 Jan 2022 14:22:47 + writes:
> Hello,
> Here are 3 functions that do what the question asks for. The first 2 are
> tidyverse solutions, the last one a base R function.
> I don't understand why the group_by and mutate, that's why I've in
Hello,
Here are 3 functions that do what the question asks for. The first 2 are
tidyverse solutions, the last one a base R function.
I don't understand why the group_by and mutate, that's why I've included
a 2nd tidyverse function. And the base R function follows the same lines
of outputing
Hallo
You should explain better what do you want as many people here do not use
tidyverse functions.
I am not sure what the function should do.
table(iris$Species)
give the same result and whatever you do in tidyverse part it always finalise
in table(...$Species)
Cheers
Petr
> -Original M
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