similar to: Inconsistency in representation of variables

In 2.8.1/Windows: According to ? : Details: For numeric arguments 'from:to' is equivalent to 'seq(from, to)' ... Value: For numeric arguments, a numeric vector. This will be of type 'integer' if 'from' and 'to' are both integers and representable in the integer type, otherwise of type 'numeric'.... The first claim

I've read in many places that R semantics are based on Scheme semantics. As a long-time Lisp user and implementor, I've tried to make this more precise, and this is what I've found so far. I've excluded trivial things that aren't basic semantic issues: support for arbitrary-precision integers; subscripting; general style; etc. I would appreciate corrections or additions from

NOTA BENE: This email is about `=`, the assignment operator (e.g. {a=1} which is equivalent to { `=`(a,1) } ), not `=` the named-argument syntax (e.g. f(a=1), which is equivalent to eval(structure(quote(f(1)),names=c('','a'))). As far as I can tell from the documentation, assignment with = is precisely equivalent to assignment with <-. Yet they call different primitives: >

NOTA BENE: This email is about `=`, the assignment operator (e.g. {a=1} which is equivalent to { `=`(a,1) } ), not `=` the named-argument syntax (e.g. f(a=1), which is equivalent to eval(structure(quote(f(1)),names=c('','a'))). As far as I can tell from the documentation, assignment with = is precisely equivalent to assignment with <-. Yet they call different primitives: >

I noticed that in as.data.frame.table, the stringsAsFactors argument defaults to TRUE, whereas in the other as.data.frame methods, it defaults to default.stringsAsFactors(). The documentation and implementation agree on this, so this is not a bug. However, I was wondering if this disparity was intended or if it might be some sort of unintentional oversight. If it is intentional, I wonder what

read.table gives idiosyncratic results when the input is formatted strangely, for example: read.table(textConnection("a'b\nc'd\n"),header=FALSE,fill=TRUE,sep="",quote="'") => "c'd" "a'b" "c'd"

I have two vectors, a and b. b is a text file. I want to find in b those elements of a which occur at the beginning of the line in b. I have the following code, but it only returns a value for the first value in a, but I want both. Any ideas please. a = c(2,3) b = NULL b[1] = "aaa 2 aaa" b[2] = "2 aaa" b[3] = "3 aaa" b[4] = "aaa 3 aaa"

The documentation for is.atomic and is.recursive is inconsistent with their behavior in R 2.9.1 Windows. ? is.atomic ???? 'is.atomic' returns 'TRUE' if 'x' is an atomic vector (or 'NULL') ???? and 'FALSE' otherwise. ???? ... ???? 'is.atomic' is true for the atomic vector types ('"logical"', ???? '"integer"',

The documentation for assignment says: In all the assignment operator expressions, 'x' can be a name or an expression defining a part of an object to be replaced (e.g., 'z[[1]]'). A syntactic name does not need to be quoted, though it can be (preferably by backticks). But the implementation allows assignment to a character string (i.e. not a name), which it

What is the recommended class for time of day (independent of calendar date)? And what is the recommended way to get the time of day from a POSIXct object? (Not a string representation, but a computable representation.) I have looked in the man page for DateTimeClasses, in the Time Series Analysis Task View and in Spector's Data Manipulation book but haven't found these. Clearly I can

To test two environments for object equality (Lisp EQ), I can use 'identity': > e1 <- environment(local(function()x)) > e2 <- environment(local(function()x)) > identical(e1,e2) # compares object identity [1] FALSE > identical(as.list(e1),as.list(e2)) # compares values as name->value mapping [1] TRUE # (is there a

Andrey, While I think that it will be relatively easy to have the intrinsics serve as code-motion barriers for other code that might be threads sensitive (like other external function calls), we would need to think through exactly how this would work. The easiest thing would be to make the intrinsics have having unmodeled side effects, although we might want to do something more intelligent.

Given a vector of reference strings Ref and a vector of test strings Test, I would like to find elements of Test which do not contain elements of Ref as \b-delimited substrings. This can be done straightforwardly for length(Ref) < 6000 or so (R 2.8.1 Windows) by constructing a pattern like \b(a|b|c)\b, but not for larger Refs (see below). The easy workaround for this is to split Ref into

There seems to be a funny interaction between lapply and "$" -- also, "$" doesn't signal an error in some cases where "[[" does. The $ operator accepts a string second argument in functional form: > `$`(list(a=3,b=4),"b") [1] 4 lapply(list(list(a=3,b=4)),function(x) `$`(x,"b")) [[1]] [1] 4 ... but using an lapply "..."

Not to distract, but the word, `procedurization' is not an English word. It's just leaping out at me when it is either procedure(s) (noun) or proceduralize (verb). Even processes would make sense. I couldn't help myself because the word was distracting. - Marc P.S. Not that my vote counts, but I'm more in the camp of Hal whose approach to tackling the parallelization

Andrey, I am very glad to see that you're interested in working on this! I have a few comments: As you may know, this is the third such proposal over the past two months, one by me (http://lists.cs.uiuc.edu/pipermail/llvmdev/2012-August/052472.html) and the other, based somewhat on mine, by Sanjoy (http://lists.cs.uiuc.edu/pipermail/llvmdev/2012-September/053798.html) In order for your

Given a data frame of a categorical variable and two continuous variables, I would like to display one continuous variable against the other for each value of the categorical variable, all superimposed on the same plot. For example: data(Indometh); str(Indometh) Classes 'nfnGroupedData', 'nfGroupedData', 'groupedData' and 'data.frame': 66 obs. of 3

Inspired by Rudolf Biczok's query of Fri, Jan 23, 2009 at 1:25 AM, I tried to implement iteration in a generic way using S4. (Though I am admittedly still struggling with learning S4.) > setClass("foo",representation(bar="list")) [1] "foo" > x<-new("foo",bar=list(1,2,3)) Given this, I would not expect for(i in x)... to work, since R has no way

Tested in R 2.8.1 Windows > ff <- formals(function(x)1) > ff1 <- as.list(function(x)1)[1] # ff1 acts the same as ff in the examples below, but is a list rather than a pairlist > dput( ff , control=c("warnIncomplete")) list(x = ) This string is not parsable, but dput does not give a warning as specified. > dput( ff ,

Are there any R packages to import and use Web Ontology Language (OWL) ontologies (represented in OWL/RDF or other form)? Thanks, -s [[alternative HTML version deleted]]