similar to: Categorizing Fonts using Statistical Methods

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] NaN+Infi Why do you think this is a bug? Duncan Murdoch

atan(1i) -> 0 + Inf i complex(1/5) -> 0.2 + 0i atan(1i) -> (0 + Inf i) * (0.2 + 0i) -> 0*0.2 + 0*0i + Inf i * 0.2 + Inf i * 0i infinity times zero is undefined -> 0 + 0i + Inf i + NaN * i^2 -> 0 + 0i + Inf i - NaN -> NaN + Inf i I am not sure how complex arithmetic could arrive at another answer. I advise against messing with infinities... use atan2() if you don't

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 behaved. I was expecting R to do the real division/multiplication on a complex number. Which R actually does for these very particular cases; but not when only Im(x) is Inf.

> 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: >

? 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: it usually > involves much more effort to add specific

If one makes the reasonable assumption 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

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. > >

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(4000,3500,4500,4100,3900,4250,5100,4700,4950,4800)) # Define the cutoffs # - allow for duplicate entries; by = 0.03; # by = 0.01; cutoffs <- seq(0, 0.20, by = by) # Create a new column with cutoffs dummyData$Cutoff

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)

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): >

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

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]]

Dear members of the R Development Team, I am looking for people with a deep understanding of R internals to assist in bridging R to OpenOffice. While R is a state of the art statistical environment, less experienced users often find it difficult to work with R. Therefore, I believe that a bridge between R and a spreadsheet program will make this transition less painful. I sincerely believe

Hello dear Samba users! My setup: ================= Server: - openSUSE 11.2 - 64 bit - Samba 3.4.3 running as PDC. Roaming profiles active - DNS Server (bind 9) - DHCP-Server, which dynamically updates the zone files of the DNS Client: - Windows 7 Professional - 64 bit, english My problems: ================= 1. The first time when I login a new user on the client, it takes

Hi all, i have a dataset of 3D coordinates and can't figure out how to' tell R which One Are the individuals: I have 3 columns which i named x,y and z And then i have 2607 Lines, but each specimen is 33 Lines (79 specimens) How can i tell R to' categorize individuals every 33 Lines? Thanks in advance

I see strangeness on Thumb TST (tTST) predicate 'isCompare' It is true for regular ARM, false for Thumb: (gdb) p MI->dump() TSTri %reg16397, 3, pred:14, pred:%reg0, %CPSR<imp-def>; GPR:% reg16397 $24 = void (gdb) p MI->getDesc().isCompare() $25 = true (gdb) p MI->dump() tTST %reg16396, %reg16397, pred:14, pred:%reg0, %CPSR<imp-def>; tGPR:%reg16396,16397

On Sep 14, 2010, at 12:09 PM, Gabor Greif wrote: > I see strangeness on Thumb TST (tTST) predicate 'isCompare' > > It is true for regular ARM, false for Thumb: > > (gdb) p MI->dump() > TSTri %reg16397, 3, pred:14, pred:%reg0, %CPSR<imp-def>; GPR:% > reg16397 > $24 = void > (gdb) p MI->getDesc().isCompare() > $25 = true > > > (gdb)

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 data is

Dear R-Users, Are there any packages that enable the modifications of highlighted areas / annotations in pdf documents? It seems feasible - I have explored some R code (see below). However, I would rather avoid to reinvent the wheel. The problem: When highlighting pdf-documents with Microsoft Edge, the bounding box is sometimes misplaced, and quite ugly so. It also lacks the ability to draw