I have a variable in dataset "CA", which has the following values:
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1
[40] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2
then I used this statement
prot <- ifelse(ts$CA == '2', 0, 1)
Is the problem exist here?
On Fri, Jan 14, 2022 at 11:02 PM Ebert,Timothy Aaron <teb...@ufl.edu> wrote:
> Hi Neha,
> You used a variable named "fraction" so we took a guess. However, as
> another pointed out 1/0 does not give NA in R. number/0 returns Inf except
> 0/0 which returns NaN. So 1/0 <= 1 returns FALSE and 0/0 <= 1 returns NA. A
> great deal of the behavior of your program hinges on what "fraction" is in
> your program.
>
> Tim
>
> -----Original Message-----
> From: R-help <r-help-boun...@r-project.org> On Behalf Of Neha gupta
> Sent: Friday, January 14, 2022 4:50 PM
> To: Jim Lemon <drjimle...@gmail.com>
> Cc: r-help mailing list <r-help@r-project.org>
> Subject: Re: [R] NAs are removed
>
> [External Email]
>
> Hi Jim and Ebert
>
> How I am using divide by zero, I did not understand? I am using caret and
> AUC metric.
>
> If I do, what is the solution?
>
> On Fri, Jan 14, 2022 at 9:41 PM Jim Lemon <drjimle...@gmail.com> wrote:
>
> > Hi Neha,
> > You're using the argument "na.omit" in what function? My blind guess
> > is that there's a divide by zero shooting you from behind.
> >
> > Jim
> >
> > On Sat, Jan 15, 2022 at 6:32 AM Neha gupta <neha.bologn...@gmail.com>
> > wrote:
> > >
> > > Hi everyone
> > >
> > > I use na.omit to remove NAs but still it gives me error
> > >
> > > Error in if (fraction <= 1) { : missing value where TRUE/FALSE
> > > needed
> > >
> > > My data is:
> > >
> > > data.frame': 340 obs. of 15 variables:
> > > $ DepthTree : num 1 1 1 1 1 1 1 1 1 1 ...
> > > $ NumSubclass : num 0 0 0 0 0 0 0 0 0 0 ...
> > > $ McCabe : num 1 1 1 1 1 1 3 3 3 3 ...
> > > $ LOC : num 3 4 3 3 4 4 10 10 10 10 ...
> > > $ DepthNested : num 1 1 1 1 1 1 2 2 2 2 ...
> > > $ CA : num 1 1 1 1 1 1 1 1 1 1 ...
> > > $ CE : num 2 2 2 2 2 2 2 2 2 2 ...
> > > $ Instability : num 0.667 0.667 0.667 0.667 0.667 0.667 0.667
> > > 0.667
> > > 0.667 0.667 ...
> > > $ numCovered : num 0 0 0 0 0 0 0 0 0 0 ...
> > > $ operator : Factor w/ 16 levels "T0","T1","T2",..: 2 2 4 13 13 13
> > 1 3
> > > 4 7 ...
> > > $ methodReturn : Factor w/ 22 levels "I","V","Z","method",..: 2 2 2
> > > 2 2
> > 2
> > > 2 2 2 2 ...
> > >
> > > [[alternative HTML version deleted]]
> > >
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