Hm,
what do **you** mean by fraction
This is what you posted
> >> >Error in if (fraction <= 1) { : missing value where TRUE/FALSE
> >> >needed
On May 19, 2022 2:30:58 PM PDT, Neha gupta
I just showed that if object **fraction** is NA, it results exactly in the
error you posted. From where is this object I do not know.
>From help page
protected
factor, protected variable (also called sensitive attribute), containing
privileged and unprivileged groups
should be factor, which is not. Maybe it does not matter but you could try to
change it to one by as.factor function.
You probably modified the code from help page but in that case you should
check if all your objects are the same mode and structure as the objects in
help page code.
Cheers
Petr
From: Neha gupta <neha.bologn...@gmail.com>
Sent: Friday, May 20, 2022 3:22 PM
To: PIKAL Petr <petr.pi...@precheza.cz>
Cc: r-help mailing list <r-help@r-project.org>
Subject: Re: [R] missing values error in if statement
What do you mean by "fraction" ?
traceback()
4: readable_number(max_value - min_value, FALSE)
3: get_nice_ticks(lower_bound, upper_bound)
2: plot.fairness_object(fc)
1: plot(fc)
On Fri, May 20, 2022 at 3:18 PM PIKAL Petr <mailto:petr.pi...@precheza.cz>
wrote:
Hallo
>From what you say the error comes from
> fraction <- NA
> if(fraction <= 1) print(5)
Error in if (fraction <= 1) print(5) :
missing value where TRUE/FALSE needed
>
so somewhere fraction is set to NA during your code.
I would consult traceback, you could try debug used functions but maybe you
should start with explainer, prot and privileged, if they are as expected by
fairness_check
> > fc= fairness_check(explainer,
> > protected = prot,
> > privileged = privileged)
Cheers
Petr
> -----Original Message-----
> From: R-help <mailto:r-help-boun...@r-project.org> On Behalf Of Neha gupta
> Sent: Friday, May 20, 2022 3:03 PM
> To: Jeff Newmiller <mailto:jdnew...@dcn.davis.ca.us>
> Cc: r-help mailing list <mailto:r-help@r-project.org>
> Subject: Re: [R] missing values error in if statement
>
> Actually I am not very sure where exactly the error raised but when I run
the
> plot(fc) , it shows the error.
>
> I checked it online and people suggested that it may come with missing
> values in 'if' or 'while; statements etc.
>
> I do not know how your code works and mine not.
>
> Best regards
>
> On Fri, May 20, 2022 at 10:16 AM Neha gupta
> <mailto:neha.bologn...@gmail.com>
> wrote:
>
> > 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
> > <mailto:jdnew...@dcn.davis.ca.us>
> > wrote:
> >
> >> Not reproducible. Posted HTML.
> >>
> >> On May 19, 2022 2:30:58 PM PDT, Neha gupta
> <mailto:neha.bologn...@gmail.com>
> >> wrote:
> >> >Why do I get the following error when my variable in the 'if
statement'
> >> has
> >> >no missing values.
> >> >
> >> >I check with http://is.noclick_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]]
> >> >
> >> >______________________________________________
> >> >mailto:R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> >https://stat.ethz.ch/mailman/listinfo/r-help
> >> >PLEASE do read the posting guide
> >> 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]]
>
> ______________________________________________
> mailto:R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
