similar to: Unexpected email address change - and maybe a missing manual patch

Argument matching is by name first, then the still missing arguments are filled positionally. Unnamed missing arguments are thus left missing. Does that help? Michael On Fri, Nov 30, 2018 at 8:18 AM Emil Bode <emil.bode at dans.knaw.nl> wrote: > > But the main point is where arguments are mixed together: > > > debugonce(plot.default) > > plot(x=1:10, y=, 'l')

But the main point is where arguments are mixed together: > debugonce(plot.default) > plot(x=1:10, y=, 'l') ... Browse[2]> missing(y) [1] FALSE Browse[2]> y [1] "l" Browse[2]> type [1] "p" I think that's what I fall over mostly: that named, empty arguments behave entirely different from omitting them (", ,") And I definitely agree we need

> > plot(x=1:10, y=) > > plot(x=1:10, y=, 10:1) > > > > In both cases, 'y=' is ignored. In the first, the plot is for y=NULL (so not > 'missing' y) > > In the second case, 10:1 is positionally matched to y despite the intervening > 'missing' 'y=' > > > > So it isn't just 'missing'; it's 'not there

On Thu, Nov 29, 2018 at 1:10 PM S Ellison <S.Ellison at lgcgroup.com> wrote: > > > > > plot(x=1:10, y=) > > > plot(x=1:10, y=, 10:1) > > > > > > In both cases, 'y=' is ignored. In the first, the plot is for y=NULL (so not > > 'missing' y) > > > In the second case, 10:1 is positionally matched to y despite the

Dear Steve, Since this relates as well to the message I posted a couple of minutes before yours, I agree that it?s possible to phrase ?best practices? too categorically. In the current case, I believe that it?s reasonable to say that specifying the data argument is ?generally? or ?usually? the best option. That doesn?t rule out exceptions. Best, John

Thanks for your answer. I have attached the plot for representing the variable. I think that I need to draw a Hypercube sample for each age class (i.e., for 0, 1, 2, 3, 4, 5, 6, 7) in a given simulation (i.e., N = 1) and the LHS values for all age classes should be like the observed cumulative distribution (see attached figure). Thus, the output of randomLHS should be a matrix with 100 rows (N =

> The former co-author contributed, so he is still author and probably copyright > holder and has to be listed among the authors, otherwise it would be a CRAN > policy violation ... It's a bit of a philosophical question right now, but at some point in a developing package's life - particularly one that starts small but is subsequently refactored in growth - there may be no code

> How can I draw a Hypercube sample for the variable mortality_probability so > that this variable exhibits the same pattern as the observed distribution? One simple way is to use the uniform random output of randomLHS as input to the quantile function for your desired distribution(s). For example: q <- randomLHS(1000, 3) colnames(q) <- c("A", "B",

> When trying out some variations with `[.data.frame` I noticed some (to me) > odd behaviour, Not just in 'myfun' ... plot(x=1:10, y=) plot(x=1:10, y=, 10:1) In both cases, 'y=' is ignored. In the first, the plot is for y=NULL (so not 'missing' y) In the second case, 10:1 is positionally matched to y despite the intervening 'missing' 'y=' So it

> Yes, I think all of that is correct. But y _is_ missing in this sense: > > plot(1:10, y=) > > ... > Browse[2]> missing(y) Although I said what I meant by 'missing' vs 'not present', it wasn't exactly what missing() means. My bad. missing() returns TRUE if an argument is not specified in the call _whether or not_ it has a default, hence the behaviour of

> > I read the CRAN policies twice, and there > > is no official guideline on how to compile the citation. The policies are about copyright and IP, not credited authorship. There's overlap but they are not the same thing. You can see whether someone is a copyright holder by referring to the license you had and whether there is any of their content remaining. But that might not

> 2. change cfun[[1]] <- quote(cord.work) to cfun[[1]] <- > quote(survival:::cord.work). You say this will mess up your test bed. > That suggests that your test bed is broken. This is a perfectly legal > and valid solution. Valid in a package, but forces code to call a loaded library version of a function rather than (say) a 'source'd user-space version that is under

> Apparently, abs(1 - 0.95) is not equal to 0.05, which I find however quite > disturbing. It's normal.* See R FAQ 7.31 in the html help system. S Ellison *... and common to all computers that use binary. ******************************************************************* This email and any attachments are confidential. Any use, copying or disclosure other than by the intended

On Thu, Nov 29, 2018 at 10:51 AM S Ellison <S.Ellison at lgcgroup.com> wrote: > > > When trying out some variations with `[.data.frame` I noticed some (to me) > > odd behaviour, > > Not just in 'myfun' ... > > plot(x=1:10, y=) > plot(x=1:10, y=, 10:1) > > In both cases, 'y=' is ignored. In the first, the plot is for y=NULL (so not

Thanks for your answer. However, my variable is simulated from the cumulative distribution function of the Poisson distribution. So, the pattern obtained from the function "qpois" is not the same as the observed pattern (i.e., obtained from the function "ppois") set.seed(5) mortality_probability <- round(ppois(seq(0, 7, by = 1), lambda = 0.9), 2)

I did not write that. On Jan 29, 2008 9:05 AM, S Ellison <S.Ellison at lgc.co.uk> wrote: > >>> "Gabor Grothendieck" <ggrothendieck at gmail.com> 29/01/2008 12:35:27 > >>> > > As is common in human affairs, even > > the illusion of understanding is preferred to a lofty digression > upon > > why the audience does not understand.

Hi, We''re using Ferret in a slightly unorthodox way: We''re indexing a large (>100,000) list of names of places all around the world. Mostly we''re quite happy with it, and have been able to graft on our own particular required functionality with just a little tweaking. There''s one strange problem, though: We''ve got a place in Cyprus called

Mathias, If it's any comfort, I appreciated the example; 'expected' behaviour maybe, but a very nice example for staff/student training! S Ellison > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Matthias > Gondan > Sent: 02 September 2017 18:22 > To: r-help at r-project.org > Subject: [R] Strange lazy evaluation of

Precedence is a property of the parser and has nothing to do with the semantics assigned to various symbols. Using just core R functions you can see the precedence of '?' is between those of '=' and '<-'. > # '=' has lower precedence than '?' > str(as.list(parse(text="a ? b = c")[[1]])) List of 3 $ : symbol = $ : language `?`(a, b) $

>>>>> Michael Lawrence >>>>> on Fri, 30 Nov 2018 08:24:31 -0800 writes: > Argument matching is by name first, then the still missing > arguments are filled positionally. Unnamed missing > arguments are thus left missing. Does that help? Thank you, Michael! Unfortunately, it may not help sufficiently notably once this thread will be