[R] Error in if (fraction <= 1) { : missing value where TRUE/FALSE needed
Bert Gunter
bgunter@4567 @end|ng |rom gm@||@com
Thu Jan 27 19:16:57 CET 2022
I did not claim it is faster -- and in fact I doubt that it makes any
real difference. Just simpler, imo. I also think that the logical
vector would serve equally in any situation in most cases where
arithmetic 0/1 coding is used -- even arithmetic ops and comparisons:
> TRUE + 2
[1] 3
> TRUE > .5
[1] TRUE
(?'+' has details)
I would appreciate someone responding with a nontrivial counterexample
to this claim if they have one, other than the sort of thing shown in
the ?logical example involving conversion to character:
## logical interpretation of particular strings
charvec <- c("FALSE", "F", "False", "false", "fAlse", "0",
"TRUE", "T", "True", "true", "tRue", "1")
as.logical(charvec)
## factors are converted via their levels, so string conversion is used
as.logical(factor(charvec))
as.logical(factor(c(0,1))) # "0" and "1" give NA
(I mean of course purely internal R code, not export of data to an
external application).
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, Jan 27, 2022 at 8:12 AM Ebert,Timothy Aaron <tebert using ufl.edu> wrote:
>
> One could use the microbenchmark package to compare which approach is faster, assuming the dataset is large enough that the outcome will make a measurable difference.
>
> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Bert Gunter
> Sent: Thursday, January 27, 2022 10:44 AM
> To: PIKAL Petr <petr.pikal using precheza.cz>
> Cc: R-help <r-help using r-project.org>
> Subject: Re: [R] Error in if (fraction <= 1) { : missing value where TRUE/FALSE needed
>
> [External Email]
>
> This will not help solve the issue, but perhaps it is worth pointing out that the idiom, prot <- ifelse(test$operator == 'T13', 1, 0) is perhaps more simply coded as prot <- test$operator == 'T13'
>
> This will give a logical, TRUE/FALSE, instead of 1/0, but I doubt that a numeric is needed anyway. However, as.numeric() would of course do such a conversion, in which case the original ifelse might as well be used.
>
> 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 Wed, Jan 26, 2022 at 11:39 PM PIKAL Petr <petr.pikal using precheza.cz> wrote:
> >
> > Hi
> >
> > Actually you did not. Your original question was:
> >
> > > Error in if (fraction <= 1) { : missing value where TRUE/FALSE
> > > needed I used this:
> > > var <- ifelse(test$operator == 'T14', 1, 0) operator has several
> > > values like T1, T3, T7, T15, T31, T37 For some values like T3, T7 it
> > > works fine but for majority of values it gives error.
> > > When I use: is.na(ts$operator), it shows all false values so no NAs.
> >
> > Only now we could inspect your whole code and it was already pointed
> > that the error does not originate from ifelse.
> >
> > With the same data and ifelse code I did not get any error.
> >
> > test <- structure(list(DepthTree = c(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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, <snip>
> >
> > > str(test)
> > 'data.frame': 146 obs. of 15 variables:
> > $ DepthTree : num 1 1 1 1 1 1 1 1 1 1 ...
> > <snip>
> > $ numCovered : num 0 0 0 0 0 0 0 0 0 0 ...
> > $ operator : Factor w/ 16 levels "T0","T1","T2",..: 4 4 7 8 8 8 11 4 10 7
> > ...
> > $ methodReturn : Factor w/ 22 levels "I","V","Z","method",..: 2 2 2 2
> > 2 2 2 4
> > 4 2 ...
> > $ numTestsCover: num 16 15 15 16 15 15 15 4 4 16 ...
> > $ mutantAssert : num 55 55 55 55 55 55 55 13 13 55 ...
> > $ classAssert : num 3 3 3 3 3 3 3 3 3 3 ...
> > $ isKilled : Factor w/ 2 levels "yes","no": 2 2 2 2 2 2 2 2 2 2 ...
> > >
> > prot <- ifelse(test$operator == 'T13', 1, 0)
> >
> > the most probable source of the error is
> >
> > fc= fairness_check(explainer,
> > protected = prot,
> > privileged = privileged)
> >
> > so you should check explainer and privileged
> >
> > Cheers
> > Petr
> >
> > From: javed khan <javedbtk111 using gmail.com>
> > Sent: Wednesday, January 26, 2022 3:45 PM
> > To: PIKAL Petr <petr.pikal using precheza.cz>
> > Cc: R-help <r-help using r-project.org>
> > Subject: Re: [R] Error in if (fraction <= 1) { : missing value where
> > TRUE/FALSE needed
> >
> > Hi Pikal, why would I hide something? I provided just a code where error is.
> >
> > Full code is:
> >
> > index= sample(1:nrow(data), 0.7*nrow(data)) train= data[index,] test=
> > data[-index,]
> >
> >
> > task = TaskClassif$new("data", backend = train, target = "isKilled")
> >
> > learner= lrn("classif.gbm", predict_type = "prob")
> >
> > model= learner$train(task )
> >
> > explainer = explain_mlr3(model,
> > data = test[,-15],
> > y = as.numeric(test$isKilled)-1,
> > label="GBM")
> >
> > prot <- ifelse(test$operator == 'T13', 1, 0) privileged <- '1'
> >
> > fc= fairness_check(explainer,
> > protected = prot,
> > privileged = privileged)
> > plot(fc)
> >
> >
> > And my data is the following:
> >
> > str(test)
> > 'data.frame': 146 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 3 3 3 3 3 3 1 1 2 ...
> > $ LOC : num 3 10 10 10 10 10 10 4 4 5 ...
> > $ DepthNested : num 1 2 2 2 2 2 2 1 1 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",..: 4 4 7 8 8 8 11 4 10 7
> > ...
> > $ methodReturn : Factor w/ 22 levels "I","V","Z","method",..: 2 2 2 2
> > 2 2 2 4
> > 4 2 ...
> > $ numTestsCover: num 16 15 15 16 15 15 15 4 4 16 ...
> > $ mutantAssert : num 55 55 55 55 55 55 55 13 13 55 ...
> > $ classAssert : num 3 3 3 3 3 3 3 3 3 3 ...
> > $ isKilled : Factor w/ 2 levels "yes","no": 2 2 2 2 2 2 2 2 2 2 ...
> > > dput(test)
> > structure(list(DepthTree = c(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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1,
> > 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 1, 1), NumSubclass = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 2), McCabe = c(1, 3, 3, 3, 3, 3, 3, 1, 1, 2, 3, 3,
> > 3, 3, 3, 3, 3, 3, 2, 2, 1, 1, 1, 2, 2, 2, 1, 4, 4, 4, 4, 4, 4, 4, 4,
> > 4, 4, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5,
> > 5, 5, 5, 5, 5, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 1, 5, 5, 5, 5, 5, 5, 5,
> > 5, 5, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1, 1, 1, 1,
> > 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1,
> > 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1), LOC = c(3,
> > 10, 10, 10, 10, 10, 10, 4, 4, 5, 22, 22, 22, 22, 22, 22, 22, 22, 3, 3,
> > 3, 3, 3, 8, 8, 8, 4, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 16, 16,
> > 16, 16, 16, 16, 8, 8, 8, 8, 8, 8, 16, 16, 16, 16, 16, 16, 20, 20, 20,
> > 20, 20, 20, 20, 20, 7, 7, 7, 7, 18, 18, 18, 18, 18, 18, 3, 15, 15, 15,
> > 15, 15, 15, 15, 15, 15, 6, 15, 15, 15, 15, 15, 15, 15, 15, 15, 9, 9,
> > 9, 9, 9, 9, 4, 4, 3, 3, 3, 3, 3, 4, 4, 6, 6, 5, 5, 5, 8, 8, 8, 3, 3,
> > 3, 3, 3, 3, 7, 3, 3, 3, 3, 15, 15, 15, 15, 15, 15, 15, 15, 3, 3, 3, 3,
> > 4, 4, 8, 4, 4, 4, 3), DepthNested = c(1, 2, 2, 2, 2, 2, 2, 1, 1, 2, 4,
> > 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1, 2, 2, 2, 1, 3, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1,
> > 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1,
> > 1, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1), CA = c(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, 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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
> > 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 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, 1, 1, 1, 1,
> > 1, 1, 2, 1, 2, 2, 1), CE = c(2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
> > 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
> > 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 2, 0, 0, 2), Instability =
> > c(0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667,
> > 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0.667, 0.667, 0.667, 0.667, 0.667, 0.667, 0, 0.667, 0, 0,
> > 0.667), numCovered = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150, 54, 54, 123, 54,
> > 54, 123, 54, 189, 189, 189, 138, 33, 18, 27, 27, 18, 27, 15, 54, 54,
> > 150, 150, 54, 150, 150, 54, 150, 66, 60, 12, 60, 15, 45, 72, 12, 12,
> > 45, 255, 255, 255, 255, 129, 129, 0, 0, 6, 6, 6, 6, 303, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 21, 12, 12, 12, 12,
> > 12, 12, 12, 12, 48, 1557, 9, 12, 0, 0, 141, 0, 21, 21, 21), operator =
> > structure(c(4L, 4L, 7L, 8L, 8L, 8L, 11L, 4L, 10L, 7L, 4L, 7L, 8L, 8L,
> > 8L, 9L, 9L, 11L, 7L, 8L, 2L, 8L, 8L, 7L, 8L, 10L, 11L, 1L, 2L, 2L, 4L,
> > 8L, 8L, 8L, 8L, 10L, 12L, 4L, 6L, 6L, 8L, 8L, 8L, 7L, 7L, 8L, 8L, 9L,
> > 9L, 1L, 4L, 6L, 8L, 8L, 8L, 1L, 1L, 7L, 7L, 7L, 8L, 8L, 13L, 7L, 8L,
> > 9L, 9L, 1L, 1L, 2L, 7L, 8L, 10L, 10L, 4L, 7L, 7L, 7L, 8L, 8L, 8L, 9L,
> > 9L, 10L, 1L, 8L, 8L, 8L, 8L, 10L, 11L, 11L, 11L, 6L, 7L, 8L, 9L, 9L,
> > 10L, 6L, 10L, 1L, 4L, 7L, 10L, 6L, 7L, 13L, 7L, 13L, 7L, 8L, 9L, 4L,
> > 6L, 9L, 8L, 10L, 8L, 10L, 8L, 10L, 9L, 8L, 10L, 13L, 10L, 2L, 7L, 7L,
> > 8L, 8L, 9L, 11L, 11L, 10L, 10L, 13L, 13L, 8L, 8L, 9L, 4L, 6L, 10L,
> > 10L), .Label = c("T0", "T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8",
> > "T9", "T10", "T11", "T12", "T13", "T14", "T15"), class = "factor"),
> > methodReturn = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> > 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L,
> > 1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L,
> > 4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 4L, 4L, 1L, 3L, 1L, 1L, 4L),
> > .Label = c("I", "V", "Z", "method", "D", "[D", "[[D", "J", "[I", "C",
> > "[J", "[C", "[S", "F", "[F", "[B", "S", "B", "[Z", "[[S", "[[B",
> > "[[Z"), class = "factor"), numTestsCover = c(16, 15, 15, 16, 15, 15,
> > 15, 4, 4, 16, 16, 16, 15, 15, 15, 16, 16, 15, 3, 3, 2, 2, 2, 16, 11,
> > 16, 4, 16, 16, 3, 16, 16, 4, 16, 16, 16, 16, 2, 3, 2, 1, 4, 1, 16, 15,
> > 16, 15, 16, 16, 2, 2, 2, 3, 2, 2, 4, 5, 5, 4, 5, 5, 4, 5, 4, 4, 4, 4,
> > 4, 3, 4, 4, 3, 4, 4, 5, 5, 4, 4, 5, 4, 4, 5, 4, 4, 4, 3, 4, 4, 4, 4,
> > 3, 3, 4, 4, 4, 4, 4, 6, 6, 0, 0, 2, 2, 2, 2, 7, 17, 17, 15, 15, 15,
> > 15, 15, 16, 16, 16, 16, 15, 16, 16, 15, 17, 17, 16, 16, 5, 4, 4, 4, 4,
> > 4, 4, 4, 4, 4, 16, 16, 3, 4, 0, 0, 5, 0, 4, 4, 1), mutantAssert =
> > c(55, 55, 55, 55, 55, 55, 55, 13, 13, 55, 55, 55, 55, 55, 55, 55, 55,
> > 55, 9, 9, 9, 9, 9, 55, 41, 55, 13, 55, 55, 5, 55, 55, 13, 55, 55, 55,
> > 55, 8, 13, 8, 4, 13, 4, 55, 55, 55, 55, 55, 55, 9, 9, 9, 9, 9, 8, 9,
> > 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 6, 9, 9, 6, 9, 9, 9, 9, 9, 9, 9,
> > 9, 9, 9, 9, 9, 9, 6, 9, 9, 9, 9, 6, 6, 9, 9, 9, 9, 9, 14, 14, 0, 0, 2,
> > 2, 2, 2, 15, 58, 58, 55, 55, 55, 55, 55, 58, 58, 58, 55, 55, 55, 55,
> > 55, 58, 58, 58, 58, 9, 9, 6, 6, 6, 6, 6, 6, 6, 6, 55, 55, 5, 13, 0, 0,
> > 11, 0, 9, 9, 8),
> > classAssert = c(3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
> > 10, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
> > 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 1, 1, 3, 0,
> > 3, 3, 0), isKilled = structure(c(2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
> > 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L,
> > 1L, 2L, 1L, 1L, 1L), .Label = c("yes", "no"), class = "factor")),
> > row.names = c(3L, 9L, 12L, 13L, 14L, 15L, 19L, 21L, 22L, 24L, 28L,
> > 29L, 39L, 44L, 46L, 51L, 52L, 57L, 62L, 63L, 68L, 71L, 73L, 75L, 77L,
> > 80L, 83L, 84L, 85L, 86L, 90L, 95L, 100L, 102L, 103L, 108L, 112L, 120L,
> > 122L, 123L, 142L, 143L, 146L, 158L, 159L, 160L, 163L, 167L, 168L,
> > 170L, 174L, 176L, 183L, 186L, 192L, 196L, 199L, 203L, 205L, 206L,
> > 208L, 214L, 221L, 226L, 229L, 233L, 234L, 235L, 236L, 237L, 238L,
> > 249L, 252L, 255L, 260L, 267L, 270L, 271L, 273L, 275L, 276L, 277L,
> > 278L, 286L, 288L, 293L, 295L, 297L, 298L, 300L, 301L, 302L, 306L,
> > 312L, 313L, 316L, 317L, 331L, 333L, 338L, 341L, 342L, 344L, 346L,
> > 348L, 359L, 370L, 375L, 378L, 381L, 382L, 383L, 386L, 389L, 390L,
> > 394L, 397L, 400L, 402L, 403L, 404L, 408L, 415L, 418L, 419L, 423L,
> > 425L, 426L, 429L, 431L, 432L, 433L, 444L, 446L, 447L, 448L, 449L,
> > 451L, 452L, 457L, 458L, 470L, 474L, 476L, 479L, 484L), class =
> > "data.frame")
> >
> >
> >
> >
> > On Wed, Jan 26, 2022 at 3:29 PM PIKAL Petr
> > <mailto:petr.pikal using precheza.cz>
> > wrote:
> > Hi
> >
> > It seems that you are hiding what you really do.
> >
> > This
> > > options(error = NULL)
> > works fine without any error. So please If you want some reasonable
> > answer post question with data and code which is causing the error.
> >
> > My wild guess is that you have some objects in your environment and
> > you do not know that they are used in you commands. Try to start fresh
> > R session and try to inspect your environment with
> >
> > ls()
> >
> > Cheers
> > Petr
> >
> > > -----Original Message-----
> > > From: R-help <mailto:r-help-bounces using r-project.org> On Behalf Of
> > > javed khan
> > > Sent: Wednesday, January 26, 2022 3:05 PM
> > > To: Ivan Krylov <mailto:krylov.r00t using gmail.com>
> > > Cc: R-help <mailto:r-help using r-project.org>
> > > Subject: Re: [R] Error in if (fraction <= 1) { : missing value where
> > TRUE/FALSE
> > > needed
> > >
> > > Ivan, thanks
> > >
> > > When I use options(error = NULL)
> > >
> > > it says: Error during wrapup: missing value where TRUE/FALSE needed
> > > Error: no more error handlers available (recursive errors?);
> > > invoking
> > 'abort'
> > > restart
> > >
> > > With traceback(), I get
> > >
> > > 4: readable_number(max_value - min_value, FALSE)
> > > 3: get_nice_ticks(lower_bound, upper_bound)
> > >
> > > On Wed, Jan 26, 2022 at 2:53 PM Ivan Krylov
> > > <mailto:krylov.r00t using gmail.com>
> > > wrote:
> > >
> > > > On Wed, 26 Jan 2022 14:47:16 +0100 javed khan
> > > > <mailto:javedbtk111 using gmail.com> wrote:
> > > >
> > > > > Error in if (fraction <= 1) { : missing value where TRUE/FALSE
> > > > > needed
> > > >
> > > > > var <- ifelse(test$operator == 'T14', 1, 0)
> > > >
> > > > The error must be in a place different from your test$operator
> > > > comparison. Have you tried traceback() to get the call stack
> > > > leading to the error? Or options(error = recover) to land in a
> > > > debugger session the moment an uncaught error happens? (Use
> > > > options(error =
> > > > NULL) to go back to the default behaviour.)
> > > >
> > > > Unrelated: var <- test$operator == 'T14' will also give you an
> > > > equivalent logical vector with a bit less work.
> > > >
> > > > --
> > > > Best regards,
> > > > Ivan
> > > >
> > >
> > > [[alternative HTML version deleted]]
> > >
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