[R] missing values error in if statement
Jeff Newmiller
jdnewm|| @end|ng |rom dcn@d@v|@@c@@u@
Fri May 20 16:26:23 CEST 2022
... how are we supposed to know that you had imported mlr3extralearners unless you included the library(mlr3extralearners) statement in your code???
It is sadly not unusual for people to forget to show such information .. so there is a package called "reprex" designed to help you verify that your example is reproducible before sending out confusing example code. I recommend it. It would have also complained at you for leaving your file import statement in the example code rather than the dput equivalent inline. Us having to tiptoe around certain lines manually also adds to the question marks about what caused your error.
On May 20, 2022 7:07:43 AM PDT, Neha gupta <neha.bologna90 using gmail.com> wrote:
>Actually it's found in a library (mlr3extralearners). I have already
>imported this library in my code.
>
>On Friday, May 20, 2022, Rui Barradas <ruipbarradas using sapo.pt> wrote:
>
>> Hello,
>>
>> I'm getting an error when running your code:
>>
>> learner = lrn("classif.randomForest", predict_type = "prob")
>> #> Error: Element with key 'classif.randomForest' not found in
>> DictionaryLearner!
>>
>> Rui Barradas
>>
>> Às 14:12 de 20/05/2022, Neha gupta escreveu:
>>
>>> When I run
>>>
>>> print(fc)
>>>
>>> it shows 'Inf'. It mean it doesn't calculate the bias/fairness, maybe due
>>> to missing values.
>>>
>>> RF passes 1/5 metrics
>>> Total loss : Inf
>>>
>>>
>>>
>>> On Fri, May 20, 2022 at 3:06 PM Rui Barradas <ruipbarradas using sapo.pt
>>> <mailto:ruipbarradas using sapo.pt>> wrote:
>>>
>>> Hello,
>>>
>>> This is a frequent way of coding and a source for questions.
>>>
>>>
>>> ifelse(test$CE == '2', 1, 0)
>>>
>>>
>>> is equivalent to the much more performant
>>>
>>>
>>> as.integer(test$CE == '2') # or as.numeric
>>>
>>>
>>> If the code still runs with errors, then those errors came from
>>> elsewhere.
>>>
>>> Hope this helps,
>>>
>>> Rui Barradas
>>>
>>>
>>> Às 09:16 de 20/05/2022, Neha gupta escreveu:
>>> > I am sorry.. The code is here and data is provided at the end of
>>> this
>>> > email.
>>> >
>>> > data = readARFF("aho.arff")
>>> >
>>> > index= sample(1:nrow(data), 0.7*nrow(data))
>>> > train= data[index,]
>>> > test= data[-index,]
>>> >
>>> > task = TaskClassif$new("data", backend = train, target =
>>> "isKilled")
>>> > learner= lrn("classif.randomForest", predict_type = "prob")
>>> > model= learner$train(task )
>>> >
>>> > ///explainer is created to identify a bias in a particular
>>> feature i.e. CE
>>> > feature in this case
>>> >
>>> > explainer = explain_mlr3(model,
>>> > data = test[,-15],
>>> > y = as.numeric(test$isKilled)-1,
>>> > label="RF")
>>> > prot <- ifelse(test$CE == '2', 1, 0) /// Error comes here
>>> > privileged <- '1'
>>> >
>>> >
>>> > fc= fairness_check(explainer,
>>> > protected = prot,
>>> > privileged = privileged)
>>> > plot(fc)
>>> >
>>> >
>>> > ////////////////////////////////////////// my data is
>>> >
>>> > 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, 2,
>>> > 2, 2, 2, 1, 1, 1, 1, 2, 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, 0, 0, 0, 0, 0, 0, 1, 1, 1, 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, 2), McCabe = c(1, 1, 1,
>>> > 3, 3, 3, 3, 1, 2, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 1, 2, 2, 1,
>>> > 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 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, 5, 5, 5, 5, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
>>> > 5, 5, 5, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 2, 1, 1,
>>> > 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 4, 4, 1, 1, 2, 2, 2, 2,
>>> > 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1), LOC = c(3,
>>> > 3, 4, 10, 10, 10, 10, 4, 5, 22, 22, 22, 22, 22, 22, 22, 22, 3,
>>> > 3, 3, 3, 8, 8, 4, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
>>> > 23, 23, 23, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 8, 8, 8,
>>> > 16, 16, 16, 16, 16, 16, 16, 16, 16, 20, 20, 20, 20, 20, 20, 20,
>>> > 20, 20, 20, 20, 20, 7, 7, 7, 7, 18, 18, 18, 18, 18, 18, 15, 15,
>>> > 15, 15, 15, 15, 15, 15, 6, 6, 6, 15, 15, 15, 15, 15, 15, 9, 9,
>>> > 9, 9, 9, 9, 9, 4, 4, 3, 3, 3, 3, 4, 4, 4, 5, 8, 8, 3, 3, 3, 7,
>>> > 7, 3, 3, 15, 15, 15, 15, 15, 15, 15, 15, 3, 3, 3, 4, 4, 4, 4,
>>> > 8, 8, 8, 8, 4, 3), DepthNested = c(1, 1, 1, 2, 2, 2, 2, 1, 2,
>>> > 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 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, 3, 3,
>>> > 3, 3, 3, 3, 3, 3, 3, 3, 3, 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, 1, 1, 1, 2, 2, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1,
>>> > 1, 1, 1, 1, 1, 2, 2, 2, 2, 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, 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, 2,
>>> > 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2,
>>> > 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 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, 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, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0,
>>> > 0, 0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 2, 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,
>>> > 0.667, 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, 0, 0, 0, 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, 0.667, 0.667, 0.667,
>>> > 0.667, 0.667, 0.667, 0.667, 0, 0, 0, 0, 0.667, 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, 0, 0, 0, 0, 0, 123, 54, 54,
>>> > 54, 123, 54, 54, 39, 84, 54, 54, 15, 138, 189, 189, 189, 27,
>>> > 51, 33, 6, 27, 27, 150, 150, 150, 54, 150, 54, 54, 150, 117,
>>> > 51, 66, 60, 15, 15, 72, 12, 45, 255, 255, 129, 129, 129, 0, 129,
>>> > 0, 0, 6, 6, 6, 303, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 12,
>>> > 12, 12, 18, 12, 12, 48, 12, 1557, 48, 12, 171, 0, 0, 0, 141,
>>> > 141, 45, 141, 18, 39), operator = structure(c(4L, 13L, 13L, 1L,
>>> > 4L, 9L, 12L, 4L, 11L, 4L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 7L, 8L,
>>> > 8L, 6L, 7L, 8L, 4L, 1L, 2L, 3L, 4L, 7L, 8L, 8L, 8L, 8L, 8L, 9L,
>>> > 11L, 12L, 12L, 4L, 6L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 6L, 9L,
>>> > 9L, 4L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 10L, 1L, 1L, 1L, 7L, 7L,
>>> > 8L, 8L, 8L, 8L, 8L, 13L, 13L, 7L, 8L, 8L, 9L, 8L, 8L, 8L, 8L,
>>> > 9L, 10L, 1L, 4L, 4L, 6L, 7L, 8L, 8L, 8L, 9L, 10L, 10L, 7L, 8L,
>>> > 8L, 10L, 11L, 11L, 7L, 8L, 4L, 8L, 9L, 10L, 10L, 4L, 10L, 7L,
>>> > 7L, 10L, 6L, 8L, 8L, 10L, 8L, 8L, 10L, 9L, 8L, 10L, 7L, 7L, 13L,
>>> > 2L, 2L, 2L, 8L, 8L, 8L, 8L, 8L, 11L, 10L, 10L, 13L, 13L, 8L,
>>> > 8L, 8L, 6L, 7L, 8L, 10L, 13L, 13L), .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, 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, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
>>> > 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L,
>>> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L,
>>> > 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
>>> > 4L, 4L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 4L,
>>> > 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 4L, 4L, 4L, 4L,
>>> > 4L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 2L,
>>> > 2L), .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,
>>> > 16, 16, 15, 15, 16, 15, 4, 16, 16, 15, 16, 15, 15, 15, 15, 15,
>>> > 3, 3, 3, 2, 16, 11, 4, 16, 3, 16, 16, 16, 16, 16, 4, 16, 16,
>>> > 16, 4, 16, 16, 3, 3, 3, 2, 4, 3, 2, 1, 4, 1, 15, 16, 15, 2, 3,
>>> > 2, 3, 3, 2, 2, 2, 3, 4, 5, 5, 5, 4, 5, 5, 4, 4, 5, 5, 4, 4, 4,
>>> > 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 5, 4, 5, 5, 4, 4, 4, 4, 4, 4,
>>> > 4, 4, 3, 4, 4, 4, 6, 6, 6, 0, 6, 0, 0, 2, 2, 2, 7, 0, 0, 0, 15,
>>> > 16, 16, 16, 15, 17, 17, 17, 15, 5, 4, 4, 4, 3, 4, 4, 3, 4, 16,
>>> > 16, 4, 17, 0, 0, 0, 5, 5, 3, 5, 2, 3), mutantAssert = c(55, 55,
>>> > 55, 55, 55, 55, 55, 13, 55, 55, 55, 55, 55, 55, 55, 55, 55, 9,
>>> > 9, 9, 9, 55, 41, 13, 55, 5, 55, 55, 55, 55, 55, 13, 55, 55, 55,
>>> > 13, 55, 55, 13, 13, 13, 8, 13, 13, 8, 4, 13, 4, 55, 55, 55, 9,
>>> > 9, 9, 9, 9, 9, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
>>> > 9, 9, 9, 9, 9, 9, 5, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
>>> > 9, 9, 9, 6, 9, 9, 9, 14, 14, 14, 0, 14, 0, 0, 2, 2, 2, 15, 0,
>>> > 0, 0, 55, 58, 58, 55, 55, 58, 58, 58, 55, 9, 6, 6, 6, 6, 6, 6,
>>> > 6, 6, 55, 55, 13, 57, 0, 0, 0, 11, 11, 7, 11, 9, 9), 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, 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, 0, 10, 10, 10, 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, 0, 0, 0, 1, 1, 1, 1, 3, 3,
>>> > 3, 3, 0, 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,
>>> > 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
>>> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L,
>>> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,
>>> > 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
>>> > 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,
>>> > 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L), .Label = c("yes",
>>> > "no"), class = "factor")), row.names = c(3L, 4L, 5L, 7L, 9L,
>>> > 17L, 20L, 21L, 26L, 28L, 32L, 33L, 40L, 43L, 45L, 49L, 54L, 62L,
>>> > 64L, 65L, 70L, 75L, 77L, 81L, 84L, 86L, 88L, 89L, 93L, 95L, 97L,
>>> > 99L, 101L, 102L, 106L, 111L, 112L, 113L, 118L, 122L, 125L, 128L,
>>> > 129L, 134L, 141L, 142L, 143L, 146L, 156L, 168L, 169L, 174L, 178L,
>>> > 179L, 182L, 184L, 185L, 192L, 193L, 195L, 197L, 198L, 199L, 203L,
>>> > 205L, 209L, 211L, 215L, 216L, 218L, 220L, 224L, 227L, 228L, 230L,
>>> > 233L, 243L, 244L, 246L, 247L, 251L, 252L, 259L, 262L, 263L, 265L,
>>> > 270L, 273L, 274L, 275L, 284L, 285L, 286L, 291L, 296L, 297L, 300L,
>>> > 301L, 306L, 314L, 316L, 322L, 328L, 331L, 332L, 333L, 336L, 341L,
>>> > 346L, 347L, 348L, 360L, 363L, 366L, 367L, 383L, 392L, 395L, 398L,
>>> > 404L, 408L, 409L, 410L, 420L, 421L, 426L, 428L, 434L, 437L, 438L,
>>> > 440L, 441L, 447L, 449L, 450L, 452L, 454L, 457L, 458L, 459L, 463L,
>>> > 465L, 469L, 471L, 472L, 483L), class = "data.frame")
>>> >
>>> > On Fri, May 20, 2022 at 12:20 AM Jeff Newmiller
>>> <jdnewmil using dcn.davis.ca.us <mailto:jdnewmil using dcn.davis.ca.us>>
>>> > wrote:
>>> >
>>> >> Not reproducible. Posted HTML.
>>> >>
>>> >> On May 19, 2022 2:30:58 PM PDT, Neha gupta
>>> <neha.bologna90 using gmail.com <mailto:neha.bologna90 using gmail.com>>
>>> >> wrote:
>>> >>> Why do I get the following error when my variable in the 'if
>>> statement'
>>> >> has
>>> >>> no missing values.
>>> >>>
>>> >>> I check with is.na <http://is.na>(my variable) and it has no
>>> missing values
>>> >>>
>>> >>> Error in if (fraction <= 1) { : missing value where TRUE/FALSE
>>> needed
>>> >>>
>>> >>> Best regards
>>> >>>
>>> >>> [[alternative HTML version deleted]]
>>> >>>
>>> >>> ______________________________________________
>>> >>> R-help using r-project.org <mailto:R-help using r-project.org> mailing list
>>> -- To UNSUBSCRIBE and more, see
>>> >>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> <https://stat.ethz.ch/mailman/listinfo/r-help>
>>> >>> PLEASE do read the posting guide
>>> >> http://www.R-project.org/posting-guide.html
>>> <http://www.R-project.org/posting-guide.html>
>>> >>> and provide commented, minimal, self-contained, reproducible
>>> code.
>>> >>
>>> >> --
>>> >> Sent from my phone. Please excuse my brevity.
>>> >>
>>> >
>>> > [[alternative HTML version deleted]]
>>> >
>>> > ______________________________________________
>>> > R-help using r-project.org <mailto:R-help using r-project.org> mailing list
>>> -- To UNSUBSCRIBE and more, see
>>> > https://stat.ethz.ch/mailman/listinfo/r-help
>>> <https://stat.ethz.ch/mailman/listinfo/r-help>
>>> > PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> <http://www.R-project.org/posting-guide.html>
>>> > and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
--
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