search for: mada

> complex(real = 0, imaginary = Inf) [1] 0+Infi > Inf*1i [1] NaN+Infi >> complex(real = 0, imaginary = Inf)/5 [1] NaN+Infi See the Note in ?complex for the explanation, I think. Duncan can correct if I'm wrong. -- Bert On Thu, Sep 5, 2024 at 3:20?PM Leo Mada <leo.mada at syonic.eu> wrote: > Dear Bert, > > These behave like real divisions/multiplications: > complex(re=Inf, im = Inf) * 5 > # Inf+Infi > complex(re=-Inf, im = Inf) * 5 > # -Inf+Infi > > The real division / multiplication should be faster and also is well &g...

...= Inf) >[1] 0+Infi > >> Inf*1i >[1] NaN+Infi > >>> complex(real = 0, imaginary = Inf)/5 >[1] NaN+Infi > >See the Note in ?complex for the explanation, I think. Duncan can correct >if I'm wrong. > >-- Bert > >On Thu, Sep 5, 2024 at 3:20?PM Leo Mada <leo.mada at syonic.eu> wrote: > >> Dear Bert, >> >> These behave like real divisions/multiplications: >> complex(re=Inf, im = Inf) * 5 >> # Inf+Infi >> complex(re=-Inf, im = Inf) * 5 >> # -Inf+Infi >> >> The real division / multiplicat...

On 2024-09-05 4:23 p.m., Leo Mada via R-help wrote: > Dear R Users, > > Is this desired behaviour? > I presume it's a bug. > > atan(1i) > # 0+Infi > > tan(atan(1i)) > # 0+1i > > atan(1i) / 5 > # NaN+Infi There's no need to involve atan() and tan() in this: > (0+Inf*1i)/5 [1]...

...r. Which R actually does for these very particular cases; but not when only Im(x) is Inf. Sincerely, Leonard ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Sent: Friday, September 6, 2024 1:12 AM To: Duncan Murdoch <murdoch.duncan at gmail.com> Cc: Leo Mada <leo.mada at syonic.eu>; r-help at r-project.org <r-help at r-project.org> Subject: Re: [R] BUG: atan(1i) / 5 = NaN+Infi ? Perhaps > Inf*1i [1] NaN+Infi clarifies why it is *not* a bug. (Boy, did that jog some long dusty math memories :-) ) -- Bert On Thu, Sep 5, 2024 at 2:48?P...

...that Pct is much larger than Cutoff, sorting Cutoff is the expensive part e.g O(nlog2(n) for Quicksort (n = length Cutoff). I believe looping is O(n^2). Jeff's approach using findInterval may be faster. Of course implementation details matter. -- Bert On Mon, Oct 16, 2023 at 4:41?AM Leonard Mada <leo.mada at syonic.eu> wrote: > > Dear Jason, > > The code could look something like: > > dummyData = data.frame(Tract=seq(1, 10, by=1), > Pct = c(0.05,0.03,0.01,0.12,0.21,0.04,0.07,0.09,0.06,0.03), > Totpop = c(4000,3500,4500,4100,3900,4250,5100,4700,4950,4...

? Sat, 1 Jun 2024 16:16:23 +0000 Leo Mada via R-help <r-help at r-project.org> ?????: > When highlighting pdf-documents with Microsoft Edge, the bounding box > is sometimes misplaced, and quite ugly so. It also lacks the ability > to draw lines or arrows. > > On the other hand, I did not get used to Acrobat Reader: i...

On 2024-09-05 6:12 p.m., Leo Mada wrote: > Dear Duncan, > > Here is also the missing information: > R version 4.4.1 (2024-06-14 ucrt) > Platform: x86_64-w64-mingw32/x64 > Running under: Windows 10 x64 (build 19045) > > Regarding the results: > atan(1i) > #?0+Infi > Re(atan(1i)) > # 0 > Im(at...

Perhaps > Inf*1i [1] NaN+Infi clarifies why it is *not* a bug. (Boy, did that jog some long dusty math memories :-) ) -- Bert On Thu, Sep 5, 2024 at 2:48?PM Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 2024-09-05 4:23 p.m., Leo Mada via R-help wrote: > > Dear R Users, > > > > Is this desired behaviour? > > I presume it's a bug. > > > > atan(1i) > > # 0+Infi > > > > tan(atan(1i)) > > # 0+1i > > > > atan(1i) / 5 > > # NaN+Infi > > There's...

..., ] # Result cs = cumsum(dummyData$Totpop) # Only last entry: # - I do not have a nice one-liner, but this should do it: isLast = rev(! duplicated(rev(dummyData$Cutoff))) data.frame(Total = cs[isLast], ?? ?Cutoff = dummyData$Cutoff[isLast]) Sincerely, Leonard On 10/15/2023 7:41 PM, Leonard Mada wrote: > Dear Jason, > > > I do not think that the solution based on aggregate offered by GPT was > correct. That quasi-solution only aggregates for every individual level. > > > As I understand, you want the cumulative sum. The idea was proposed by > Bert; you need onl...

My mistake! It does actually something else, which is incorrect. One could still use (although the code is more difficult to read): subset(tmp <- table(sample(1:10, 100, T)), tmp > 10) Sincerely, Leonard On 10/21/2023 10:26 PM, Leonard Mada wrote: > Dear List Members, > > There was recently an issue on R-devel (which I noticed only very late): > https://stat.ethz.ch/pipermail/r-devel/2023-October/082943.html > > It is possible to use subset as well, almost as initially stated: > > subset(table(sample(1:5, 100,...

...] NaN+Infi > > > >>> complex(real = 0, imaginary = Inf)/5 > >[1] NaN+Infi > > > >See the Note in ?complex for the explanation, I think. Duncan can correct > >if I'm wrong. > > > >-- Bert > > > >On Thu, Sep 5, 2024 at 3:20?PM Leo Mada <leo.mada at syonic.eu> wrote: > > > >> Dear Bert, > >> > >> These behave like real divisions/multiplications: > >> complex(re=Inf, im = Inf) * 5 > >> # Inf+Infi > >> complex(re=-Inf, im = Inf) * 5 > >> # -Inf+Infi > >...

Dear Shadee, If you have a data.frame with the following columns: n = 100; # population size x = data.frame( ??????Sex = sample(c("M","F"), n, T), ??????Country = sample(c("AA", "BB", "US"), n, T), ??????Income = as.factor(sample(1:3, n, T)) ) # Dummy variable ONE = rep(1, nrow(x)) r = aggregate(ONE ~ Sex + Income + Country, length, data = x)

Dear Rich, It depends how the data is generated. Although I am not an expert in ecology, I can explain it based on a biomedical example. Certain variables are generated geometrically (exponentially), e.g. MIC or Titer. MIC = Minimum Inhibitory Concentration for bacterial resistance Titer = dilution which still has an effect, e.g. serially diluting blood samples; Obviously, diluting the

...he future, especially as this embedding should be platform-independent, and I would welcome any help from the R-core team members. I am looking forward to hear from you and hope that this project will be a great success. I would like to thank you in advance for your effort. Sincerely, Leonard Mada

...A search yielded only the following thread: http://tolstoy.newcastle.edu.au/R/help/06/01/19615.html As I do not know (and have access to) mathlab, I am rather confined to R. Which is not bad, but I need a lot of help to accomplish this task. Any help is highly appreciated. Sincerely, Leonard Mada

Dear Akshay, The best response was given by Andrew. "{...}" is not a closure. This is unusual for someone used to C-type languages. But I will try to explain some of the rationale. In the case that "{...}" was a closure, then external variables would need to be explicitly declared before the closure (in order to reuse those values): intermediate = c() { ??? intermediate

Dear R Users, Is this desired behaviour? I presume it's a bug. atan(1i) # 0+Infi tan(atan(1i)) # 0+1i atan(1i) / 5 # NaN+Infi There were some changes in handling of complex numbers. But it looks like a bug. Sincerely, Leonard [[alternative HTML version deleted]]

Hii all, may I introduce myself. my name is Putro Nugroho i'am astudent of Gadjah Mada University, i'am doing on my final exam about Parametric Regression Model with gamma and log-gamma regression model. I have a problem about the syntax program on R because it doesn't work with gamma distribution with log link function. when I use zelig package it doesn't work when the d...

?.S3methods f <- function()(2) > length(.S3methods(f)) [1] 0 > length(.S3methods(print)) [1] 206 There may be better ways, but this is what came to my mind. -- Bert On Wed, Mar 8, 2023 at 11:09?AM Leonard Mada via R-help < r-help at r-project.org> wrote: > Dear R-Users, > > I want to change the args() function to return by default the arguments > of the default generic function: > args = function(name, default = TRUE) { > # TODO: && is.function.generic(); > i...

?s 18:34 de 02/06/2024, Leo Mada via R-help escreveu: > Dear Shadee, > > If you have a data.frame with the following columns: > > n = 100; # population size > x = data.frame( > ??????Sex = sample(c("M","F"), n, T), > ??????Country = sample(c("AA", "BB", "US&quo...