[R] missing values error in if statement

Neha gupta neh@@bo|ogn@90 @end|ng |rom gm@||@com
Fri May 20 16:07:43 CEST 2022


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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